But powering devices is only part of the challenge. Enabling those same systems to communicate at modern data rates is a much harder. That’s the leap the team is now making. The same lens-based approach is being used to unlock high-speed communication once considered out of reach for ultra-low-power systems.

In a study published in Nature Communications, researchers in Professor Manos (Emmanouil) Tentzeris’ Agile Technologies for High-performance Electromagnetic Novel Applications (ATHENA) lab demonstrated a first-of-its-kind lens-enabled backscatter system capable of multi-gigabit data rates, reaching up to 4 gigabits per second (Gbps). At the same time, it operates using only a fraction of the power required by conventional wireless devices — bringing high-speed connectivity to systems that were never meant to support it.

For years, backscatter has been treated as a tradeoff: extremely low power, but extremely limited performance. Rather than generating its own radio signal, a backscatter device modulates and reflects existing wireless transmissions to communicate, allowing it to operate with minimal energy. 

As a result, backscatter has typically been used only to send small amounts of data, most often in simple identification and sensing systems.

“What we’ve shown is that backscatter doesn’t have to be slow,” said Marvin Joshi, the research lead and Ph.D. candidate in the School of Electrical and Computer Engineering. “With the right architecture, it can operate at gigabit‑per‑second speeds while remaining ultra‑low power.”

They would normally get this in their natural habitats while foraging for food and staying alert to predators that might target calves.

However, the four elephants reside at Zoo Atlanta, so they don’t have to worry about these things.

That’s why zoo caretakers are always on the lookout for better ways to help their elephants exercise their brains.

The caretakers at Zoo Atlanta found one when they met Arianna Mastali, a Ph.D. student in Georgia Tech’s School of Interactive Computing. Mastali designed an audio enrichment wall to help stimulate Zoo Atlanta’s elephants.

Many zoos build concrete enrichment walls to foster elephant problem-solving and critical thinking. The walls usually have holes for the elephants to reach through with their trunks as they search for food, treats, or playful objects on the other side.

Mastali enhanced Zoo Atlanta’s enrichment wall by adding an interactive audio component. A nearby speaker system emits distinctive low-frequency tones when an elephant sticks its trunk into a hole.

“They’re intelligent creatures that require a lot of complexity in their habitat,” Mastali said. “We wanted to add to that complexity while giving them more control.”

Experimenting in the Wild

Mastali’s system uses cameras and computer vision to detect when an elephant’s trunk is inside a hole and then sends a signal to the speakers to play a sound.

Mastali is a member of the Georgia Tech Animal Lab, directed by School of IC professor Melody Jackson. The lab often uses sensing technology to enhance animal wellness.

Mastali said she tried incorporating sensing devices into her project several times. She constructed an insert made of PVC pipe and attached a sensor to its base that used infrared beams to detect the elephant’s trunk.

However, she said it was difficult to account for the elephants’ strength. Their trunks would break the insert after a day or two. 

She pivoted toward computer vision to remove the risk of damage and keep the enrichment wall as close to natural as possible. 

“A big lesson we learned was that using existing materials the elephants are already familiar with was the best way to do things, and it simplified our design process,” she said.

Shane Rosse, a student in Georgia Tech’s Online Master of Science in Computer Science (OMSCS) program, assisted Mastali with the computer vision component.

Enhancing Environmental Enrichment

Mastali observed the elephants’ behavior at the wall seven days before and seven days after the installation of the audio enrichment system.

The number of times the elephants approached the wall after installation increased by 176%, and time spent at the wall increased by 71%

“We weren’t sure at first if they would care that much, so it was great to see how much time they spent at the wall, especially our less dominant females,” said Kirby Miller, senior elephant caretaker at Zoo Atlanta. “They seem to like it the most.”

Miller said the elephants used to only approach the wall when they knew there was food behind it. That started to change after the audio enrichment system was installed.

“We would be off somewhere else, and we’d hear the speaker playing the sounds, and we knew there wasn’t any food back there,” Miller said. “Tara had her trunk in one of the holes, just listening to the sound. That let us know they do like it, and they’re very curious about it.”

Miller said because elephants have sharp memories and acute senses of hearing and smell, their habitats must be designed with that in mind.

Zoo Atlanta’s African Savanna elephant habitat was redesigned in 2019. In addition to the enrichment wall, it includes a bathing pond, two waterfalls, and swing boom devices that hold hay for elephants to eat as they would in the wild.

Miller said elephants sheltered at any zoo or conservation would benefit from enrichment devices enhanced by technology.

“I think anything they can participate in that gives them choice and control is great for all zoo elephants,” she said. “It depends on the elephants, but with our elephants, they can hear much higher frequencies than we can. That noise isn’t that loud for us, but for them, they’re feeling that noise, and they can hear much more, which makes it more stimulating for them.”

Georgia Tech researchers have created a new AI model for decision-focused learning (DFL), called Diffusion-DFL. Recent tests showed it makes more accurate decisions than current approaches.

Along with optimizing industrial output, Diffusion-DFL lowers costs and reduces risk. Experiments also showed it performs across different fields. 

Diffusion-DFL doesn’t just surpass current methods; it also predicts more accurately as problem sizes grow. The model requires less computing power despite these high-performance marks, making it more accessible to smaller enterprises.

Diffusion-DFL runs on diffusion models, the same technology that powers DALL-E and other AI image generators. It is the first DFL framework based on diffusion models.

“Anyone who makes high-stakes decisions under uncertainty, including supply chain managers, energy operators, and financial planners, benefits from Diffusion-DFL,” said Zihao Zhao, a Georgia Tech Ph.D. student who led the project. 

“Instead of optimizing around a single forecast, the model evaluates many possible scenarios, so decisions account for real-world risk and become more robust.”

[Related: GT @ ICLR 2026]

To test Diffusion-DFL, the team ran experiments based on real-world settings, including:

• Factory manufacturing to meet product demand
• Power grid scheduling to meet energy demand
• Stock market portfolio optimization

In each case, Diffusion-DFL made more accurate decisions than current methods. It also performed better as problems became larger and more complex. These results confirm the model’s ability to make important decisions in real-world scenarios with noisy data and uncertainty.

The experiments also show that Diffusion-DFL is practical, not just accurate. Training diffusion models is expensive, so the team developed a way to reduce memory use. This cut training costs by more than 99.7%. As a result, Diffusion-DFL can reach more researchers and practitioners.

“Our score-function estimator cuts GPU memory from over 60 gigabytes to 0.13 with almost no loss in decision quality, reducing the requirement for massive computing resources,” Zhao said. “I hope this expands Diffusion-DFL into other domains, like healthcare, where decisions must be made quickly under complex uncertainty."

Beyond decision-making applications, Diffusion-DFL marks a shift in DFL techniques and in the broader use of generative AI models. 

In supply chain management, planners estimate future demand before deciding how much product to stock. In this DFL problem, engineers align ML models with predetermined decision objectives, like minimizing risk or reducing costs. 

One flaw of DFL methods is that they optimize around a single, deterministic prediction in an uncertain future.

Diffusion-DFL takes a different approach. Instead of making a single guess, it determines a range of possible outcomes. This leads to decisions based on many likely scenarios, rather than on a single assumed future.

To do this, the framework uses diffusion models. These generative AI models create high-quality data from images, text, and audio. 

The forward diffusion process involves adding noise to data until it becomes pure noise. Models trained via forward diffusion can reverse diffusion. This means they can start with noisy data and then produce meaningful insights from training examples. 

Real-world data is often noisy and uncertain. Traditional DFL methods struggle in these conditions, but diffusion models are designed to handle them.

Because of this, Diffusion-DFL can explore many possible outcomes and choose better actions. Like image-generation AI, the model works well with complex data from different sources. This enables its use across different industries.

“Diffusion models have achieved significant success in generative AI and image synthesis, but our work shows their potential extends far beyond that,” said Kai Wang, an assistant professor in the School of Computational Science and Engineering (CSE).

“What makes Diffusion-DFL unique is that the specific downstream application guides how the model learns to handle uncertainty.

“Whether we are scheduling energy for power grids, balancing risk in financial portfolios, or developing early warning systems in healthcare, we can explicitly train these highly expressive models to navigate the unique complexities of each domain.”

Zhao and Wang collaborated with Caltech Ph.D. candidate Christopher Yeh and Harvard University postdoctoral fellow Lingkai Kong on Diffusion-DFL. Kong earned his Ph.D. in CSE from Georgia Tech in 2024.

Wang will present Diffusion-DFL on behalf of the group at the upcoming International Conference on Learning Representations (ICLR 2026). Occurring April 23-27 in Rio de Janeiro, ICLR is one of the world’s most prestigious conferences dedicated to artificial intelligence research.

“ICLR is the perfect stage for Diffusion-DFL because it brings together the exact community that needs to see the bridge between generative modeling and high-stakes decision-making for real-world applications,” Wang said.

“Presenting Diffusion-DFL allows us to challenge the traditional training framework of diffusion models. It’s about sparking a broader conversation on how we can align the training objectives of generative AI directly with actual, downstream decision-making needs.”

Georgia Tech researchers are making AI easier to understand through their work on Transformer Explainer. The free, online tool shows non-experts how ChatGPT, Claude, and other large language models (LLMs) process language. 

Transformer Explainer is easy to use and runs on any web browser. It quickly went viral after its debut, reaching 150,000 users in its first three months. More than 563,000 people worldwide have used the tool so far.

Global interest in Transformer Explainer continues when the team presents the tool at the 2026 Conference on Human Factors in Computing Systems (CHI 2026). CHI, the world’s most prestigious conference on human-computer interaction, will take place in Barcelona, April 13-17.

[Related: GT @ CHI 2026]

“There are moments when LLMs can seem almost like a person with their own will and personality, and that misperception has real consequences. For example, there have been cases where teenagers have made poor decisions based on conversations with LLMs,” said Ph.D. student Aeree Cho.

“Understanding that an LLM is fundamentally a model that predicts the probability distribution of the next token helps users avoid taking its outputs as absolute. What you put in shapes what comes out, and that understanding helps people engage with AI more carefully and critically.”

A transformer is a neural network architecture that changes data input sequence into an output. Text, audio, and images are forms of processed data, which is why transformers are common in generative AI models. They do this by learning context and tracking mathematical relationships between sequence components.

Transformer Explainer demystifies how transformers work. The platform uses visualization and interaction to show, step by step, how text flows through a model and produces predictions.

Using this approach, Transformer Explainer impacts the AI landscape in four main ways:

• It counters hype and misconceptions surrounding AI by showing how transformers work.
• It improves AI literacy among users by removing technical barriers and lowering the entry for learning about AI.
• It expands AI education by helping instructors teach AI mechanisms without extensive setup or computing resources.
• It influences future development of AI tools and educational techniques by providing a blueprint for interpretable AI systems.

“When I first learned about transformers, I felt overwhelmed. A transformer model has many parts, each with its own complex math. Existing resources typically present all this information at once, making it difficult to see how everything fits together,” said Grace Kim, a dual B.S./M.S. computer science student. 

“By leveraging interactive visualization, we use levels of abstraction to first show the big picture of the entire model. Then users click into individual parts to reveal the underlying details and math. This way, Transformer Explainer makes learning far less intimidating.”

Many users don’t know what transformers are or how they work. The Georgia Tech team found that people often misunderstand AI. Some label AI with human-like characteristics, such as creativity. Others even describe it as working like magic.

Furthermore, barriers make it hard for students interested in transformers to start learning. Tutorials tend to be too technical and overwhelm beginners with math and code. While visualization tools exist, these often target more advanced AI experts.

Transformer Explainer overcomes these obstacles through its interactive, user-focused platform. It runs a familiar GPT model directly in any web browser, requiring no installation or special hardware. 

Users can enter their own text and watch the model predict the next word in real time. Sankey-style diagrams show how information moves through embeddings, attention heads, and transformer blocks.

The platform also lets users switch between high-level concepts and detailed math. By adjusting temperature settings, users can see how randomness affects predictions. This reveals how probabilities drive AI outputs, rather than creativity.

“Millions of people around the world interact with transformer-driven AI. We believe that it is crucial to bridge the gap between day-to-day user experience and the models' technical reality, ensuring these tools are not misinterpreted as human-like or seen as sentient,” said Ph.D. student Alex Karpekov. 

“Explaining the architecture helps users recognize that language generated by models is a product of computation, leading to a more grounded engagement with the technology.” 

Cho, Karpekov, and Kim led the development of Transformer Explainer. Ph.D. students Alec Helbling, Seongmin Lee, Ben Hoover, and alumni Zijie (Jay) Wang (Ph.D. ML-CSE 2024) and Minsuk Kahng (Ph.D. CS-CSE 2019) assisted on the project. 

Professor Polo Chau supervised the group and their work. His lab focuses on data science, human-centered AI, and visualization for social good.

Acceptance at CHI 2026 stems from the team winning the best poster award at the 2024 IEEE Visualization Conference. This recognition from one of the top venues in visualization research highlights Transformer Explainer’s effectiveness in teaching how transformers work.

“Transformer Explainer has reached over half a million learners worldwide,” said Chau, a faculty member in the School of Computational Science and Engineering. 

“I'm thrilled to see it extend Georgia Tech's mission of expanding access to higher education, now to anyone with a web browser.”

This is the third time the class has been offered, but the first to include an extended community-based learning experience. 

“The students were able to see firsthand how concepts discussed in the classroom translated into real infrastructure decisions shaping vulnerable coastal communities,” says Robel, an associate professor in the School of Earth and Atmospheric Sciences.

In previous years, the course relied on guest speakers, often remote, to provide real-world insights. Robel and Macedo, an associate professor in the School of Civil and Environmental Engineering, advocated for this year’s field trip to give students direct exposure to how the concepts taught in class are used in coastal communities.  

“Places like Savannah, Tybee Island, and Charleston aren’t planning for a distant future; they’re making real infrastructure decisions right now,” explains Robel.

Coastal case studies

On Tybee Island, city leaders and U.S. Army Corps of Engineers staff discussed with students how to balance tourism, environmental protection, and shoreline preservation. Site visits highlighted tide gates and living shorelines as flood mitigation strategies. 

Then, in Savannah, students met with city staff to explore challenges facing historic, low-lying cities and visited the Pin Point Heritage Museum where Gullah-Geechee community leaders spoke about the cultural, environmental, and equity dimensions of flood planning. 

The trip concluded in Charleston with discussions led by the city’s chief resilience officer and tours of the Low Battery Seawall and a neighborhood pump station, illustrating how flood infrastructure can serve both functional and public-facing roles. Students also visited JMT, the engineering firm behind several of the projects studied, where engineers discussed design trade-offs and career paths in coastal and municipal infrastructure.

Regional risks, real responses

“The regional context is especially important because Georgia Tech graduates are heavily concentrated in the Southeast, and many go on to careers designing, managing, or approving infrastructure projects in coastal communities,” says Robel. “With a more concentrated vulnerability to sea-level rise in the Southeast than any other part of the United States, the most potential flooding is likely to occur here in the Atlantic Southeast and Gulf Coast.”

He adds that “if we’re educating the scientists, engineers, and decision-makers who will be working in these communities, they must understand the practicalities of flood resilience and how to make informed decisions based on the best current science.”

Although the idea for the field experience had been years in the making, it became feasible only recently with support from an internal grant on sustainability education and community-based learning administered by the Center for Sustainable Communities Research and Education. Robel also emphasized the importance of long-standing relationships with coastal communities and governments in making the trip a success.

“We reached a point where we had both the resources and the relationships to make the experience meaningful,” he shares.

Career context

The students met professionals from a wide range of career paths, including federal and local government agencies, private engineering firms, and municipal stormwater departments. 

“A major goal of the trip was giving students the chance to see what career paths in coastal resilience really look like,” says Robel. “Those conversations helped students understand not just the technical work, but also the financing, politics, and community concerns that shape infrastructure decisions — parts of the job that are harder to capture in the classroom.”

Students enjoyed the opportunity to get real-world context:

“This trip made me reconsider my post-graduation plans. I used to think the geology industry was just oil and gas, but this trip showed me different ways I can apply my skills to help the environment as well as local communities in their efforts to adapt to sea-level rise concerns,” says Mandala Pham, a Ph.D. student studying geophysics.

“The most valuable part of the experience was observing sea-level rise mitigation infrastructure in-person, and the trip was a great experience overall to make new friends and gain valuable experiences,” adds Alexander Brison, a fourth-year environmental engineering major.

By grounding classroom concepts in real places and real decisions, the Spring Break field experience reinforced the course’s goal: preparing students to engage thoughtfully with the challenges coastal communities are already facing.

Though this scholarship is typically given to 50 exceptional incoming first-year students, a select few second- and third-year students are chosen to receive the honor for exemplifying the program’s pillars of scholarship, leadership, progress, and service.

“Annie and Madeline are exemplary campus leaders and will be able to build on their progress and service with the support of the Stamps Program. We are thrilled for the contributions they bring to the environmental science community,” says Linda Green, principal academic professional and interim director of the Environmental Sciences (ENVS) program.

About Annie Lin

Lin is a second-year ENVS major conducting undergraduate research on methane and natural gas in the Glass Research Group. Previous research highlights include quantifying microplastics in Georgia’s coastal water and working with a student group to publish the first publicly available data on microplastics pollution in the Chattahoochee River.

“I hope to build a career in environmental policy and justice — developing and implementing scientific, holistic, and equitable solutions to environmental issues and bridging the gaps between research, policy, and communities,” says Lin.

She is a student coordinator for Georgia Tech’s Center for Sustainable Communities Research and Education and the Georgia Tech student engagement and network coordinator for the United Nations Regional Centre of Expertise Greater Atlanta.

Why environmental science? 

“I was born and raised in Atlanta and grew up close to the Chattahoochee River,” explains Lin. “In high school, I was very involved with Chattahoochee Riverkeeper, including an 11-mile, eight-hour paddling cleanup; field and lab work to track bacterial contamination caused by sewage spills; and speaking to state legislators about environmental bills. These experiences taught me the importance of helping make the necessary systemic changes to address environmental issues.”

About Madeline Weller 

Weller is a second-year ENVS major working in the Tang Research Group, characterizing rare earth elements from Georgia kaolinite clay minerals for renewable energy applications. She also works on the Georgia Tech Methane Vertically Integrated Project to pioneer local methane measurements and in Georgia Tech’s Office of Sustainability to further sustainability efforts and outreach with Solar Stewards.

“Through experiences with Solar Stewards, I saw firsthand how community and rooftop solar can impact people, reducing their energy burden…,” says Weller. "Being at Georgia Tech has provided me with the resources and courage to act on my passion for achieving sustainability through energy equity, ensuring everybody has access to reliable and affordable electricity."

Outside of research, she is a member of Energy Club @ GT; Sigma Gamma Epsilon, the national honor society for the Earth Sciences;  Association of Environmental Engineers and Scientists; Photography @ GT; and Runnin’ Wreck.

Why environmental science?

“I chose environmental science because I was inspired to use my science skills to help find a solution to environmental issues, including climate change,” she explains. “Improving environmental conditions is not just important for biodiversity and ecosystems, but essential for human health and the longevity of future generations.”

Published today in the journal Nature Communications, the paper “Trivalent Titanium in High-Titanium Lunar Ilmenite” confirms titanium in a reduced, trivalent state in a black, metal-rich lunar mineral called ilmenite. It’s a state only possible in low-oxygen environments, conditions researchers refer to as “reducing.”

“Models have suggested that these reducing conditions may have varied at different locations and times across the surface of the Moon,” says lead author Advik Vira, a graduate student in the School of Physics who recently earned his doctoral degree. “We hope our microscopy technique can be a valuable step in mapping and understanding the Moon’s 4.5-billion-year history.”

The team anticipates that their technique could be used on many of the lunar samples collected more than 50 years ago by the Apollo missions in addition to the Apollo Next Generation Samples — a group of lunar samples that have been stored under pristine conditions — and new samples from the planned Artemis missions, with Artemis II slated for launch this spring. The technique might also be applicable to samples collected from the far side of the Moon and returned in 2024 by the Chang’e-6 mission.

“The Moon holds clues not only to its own past, but also to the earliest eras of Earth’s evolution — history that has long since been erased from our planet,” Vira says. “This study is a step toward understanding the history of both and a reminder that there is still so much left to learn from the lunar rocks we’ve brought back to Earth.”

The School of Physics research team included corresponding authors Vira and Professor Phillip First; in addition to graduate student Roshan Trivedi; undergraduate students Gabriella Dotson, Keyes Eames, Dean Kim, and Emma Livernois; and Professor Zhigang Jiang, along with Institute for Matter and Systems Materials Characterization Facility Senior Research Scientist Mengkun Tian; School of Chemistry and Biochemistry Senior Research Scientist Brant Jones and Thom Orlando, Regents' Professor in the School of Chemistry and Biochemistry with a joint appointment in the School of Physics. 

The Georgia Tech team was joined by Addis Energy Senior Geochemist Katherine Burgess; Macalester College Assistant Professor of Geology Emily First; along with Lawrence Berkeley National Laboratory Research Scientist Harrison Lisabeth, Senior Scientist Nobumichi Tamura, and Postdoctoral Fellow Tyler Farr, who recently earned a Ph.D. from Georgia Tech’s George W. Woodruff School of Mechanical Engineering.

CLEVER research

The investigation began with a dark gray rock called a lunar basalt. Formed when ancient magma erupted on the Moon’s surface, minerals crystallized as it cooled — preserving key information in their structures. Billions of years later, the rock was brought to Earth by the 1972 Apollo 17 mission, where a small piece is now stored at Georgia Tech’s Center for Lunar Environment and Volatile Exploration Research (CLEVER), a NASA Solar System Exploration Research Virtual Institute (SSERVI) center led by Orlando.

As a NASA virtual institute, CLEVER supports researchers exploring lunar conditions and developing tools for the upcoming crewed Artemis missions, and provided the lunar samples for this research. The SSERVI also plays a critical role in training the next generation of planetary researchers: both Vira and Farr earned their Ph.D.s while on the CLEVER team.

“At CLEVER, we are very interested in understanding the impacts of space weathering,” Vira says. “We implemented modern sample preparation and advanced microscopy techniques to image samples at the atomic level, and were curious to apply it more broadly to the collection of Apollo rocks in the Orlando Lab. This sample caught our attention.”

“When we imaged an ilmenite crystal from the lunar basalt, what struck us first was how uniform and perfect the crystal structure was,” he recalls. “We found no defects from space weathering and instead saw an undamaged, pristine crystal — undisturbed for 3.8 billion years.”

To investigate further, the team analyzed small chips of the rock with Burgess, a member of the RISE2 SSERVI team and then a geologist at the U.S. Naval Research Laboratory. Using state-of-the-art electron microscopy and spectroscopy techniques, Vira determined the oxidation state of the elements in the ilmenite present. 

In spectroscopy measurements, each element leaves a distinct ‘signature,’ Vira explains. “When we brought our results back to Georgia Tech’s Materials Characterization Facility, Mengkun (Tian) noticed something unusual: the signature showed titanium might be present in the trivalent state.”

The presence of trivalent titanium had long been suspected in this lunar mineral. The team was intrigued. 

A new window into old rocks

With funding from Georgia Tech’s Center for Space Technology and Research (CSTAR), Vira returned to the U.S. Naval Research Laboratory to analyze additional samples. The results confirmed that more titanium was present than the mineral’s formula (FeTiO₃) predicts — indicating a portion of the titanium present was trivalent.

“That led me to place our measurements in terms of the broader geological context,” Vira shares. Working with First, Vira explored how ilmenite with trivalent titanium could help reconstruct the nature of ancient magmas from the Moon, especially the chemical availability of oxygen.

“Because its location on the Moon was noted during the Apollo mission, we know exactly where this rock is from, and we can determine how old the rock is,” he explains. “When coupled with our trivalent titanium measurements, we can use that information to estimate the reducing conditions for this specific region at the specific time our rock formed.”

If the upcoming Artemis missions return samples suitable for the team’s technique, these rocks could provide a new window into ancient lunar geology. The research also highlights that many lunar samples already on Earth could be reexamined to look for trivalent titanium.

“There is still so much to learn from the lunar samples we have already brought to Earth,” Vira says. “It’s a testament to the long-term value of each sample return mission. As technology continues to advance, this type of work will continue to give us critical insights into our planet and our place in the universe for years to come.”

DOI: 10.1038/s41467-026-69770-w

Funding: This work was directly supported by the NASA SSERVI under CLEVER. Researchers were also supported by the NASA RISE2 SSERVI and the Heising-Simons Foundation. Funding for collaborations between the U.S. Naval Research Laboratory and Georgia Tech for the investigation of lunar minerals was provided by the Georgia Tech Center for Space Technology and Research. Sample preparation was performed at the Georgia Tech Institute for Matter and Systems, which is supported by the National Science Foundation. This work utilized the resources of the Advanced Light Source, a user facility supported by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences, and was supported in part by previous breakthroughs obtained through the Laboratory Direct.

The primary aim of the Atlanta Student Community-Engaged Research (CER) Network is to use a peer learning approach to train graduate students with the skills to co-lead community-engaged and locally focused research, while at the same time building relationships with local community organizations. This approach will help address local sustainability and societal challenges, lay the foundation for community-engaged research programs, and enable young researchers interested in this work to thrive in the Atlanta area. Initial funding for the pilot program was provided by the Atlanta Global Studies Center and the Georgia Tech Provost's Excellence in Graduate Studies fund.

The program received a total of 41 applications from graduate students from Georgia Tech, Georgia State University, and Emory University. Thirty-five master’s and Ph.D. students were accepted into the cohort, spanning a wide range of disciplines, from the humanities, sciences, design,  public health, engineering, and computing. The program has additionally engaged eight senior-level undergraduates from Spelman College to learn about graduate school tracks with community-engaged research opportunities.

This program provides a unique opportunity to learn engagement and leadership skills not typically taught in graduate programs. Students are attending one training a month over the course of the Spring 2026 semester. Here, they learn about the diversity of sustainability-focused, community-based organizations in the area, develop skills to engage meaningfully with community partners in research projects, and improve the ways they communicate to the public about research.

The Georgia Tech Provost's Excellence in Graduate Studies fund will provide a $2,500 stipend to five Georgia Tech students who will work on a research project with a community partner organization. These projects will take place over the spring and summer semesters this year, providing opportunities for graduate students to apply their newly acquired community-engagement skills to on-the-ground research, while also opening a new pathway for Georgia Tech’s engagement with community partners.

Fellows and projects include:

• Irene Jacob, M.S., city and regional planning, will work with the Food Well Alliance to update the implementation strategy for their 10-year community garden survey.
• Ethan Zhao, M.S., human-computer interaction, will work with Historic Westside Gardens to integrate new technologies into their community garden spaces and assess the benefits to the communities they serve.
• Virginia Cason, M.S., sustainable energy and environmental management, will work with Science for Georgia to translate data gathering and analysis into community-centered narratives.
• Sharon Rachel, Ph.D., history and sociology of technology and science, will work with the HBCU Green Fund to examine the environmental and community impacts of data center projects in Atlanta.
• Ella Neumann, Ph.D., interactive computing, will work with the South River Watershed Alliance to document and communicate the history and impact of the City of Atlanta's combined sewer consent decree, and assess if the intended results of the decree have been met.

Applicants expressed their passion for community-engaged research projects and working directly with local community members and organizations:

“Lived experience is just as valuable as academic expertise, and meaningful change only occurs when both work together. I think that this takes approaching problems with a lot of humility, care, and a genuine desire to listen to communities and their needs.” -Virginia Cason, M.S., sustainable energy and environmental management

“I want to do research that stems from a theoretical question, but is feasible in reality and benefits the community. One of the most efficient ways to achieve this goal is through doing research WITH the community.” -Keke Li, M.S., analytics

“Community-engaged research is not only a methodology, but a commitment to partnership, humility, and shared power.” -Grace Fraser, M.S., city and regional planning

“To me, community-engaged research means working with people, not just for them. CER is not only a method but also a mindset. True impact comes when research and community experience grow together.” -Bingjie Lu, Ph.D., civil engineering

The community partners involved in the program are equally enthusiastic about community-engaged research. As Fred Conrad of Food Well Alliance put it, “Food Well has been intentional about engaging our constituents since we began, and this is not only a continuation of that effort, but a significant refinement of how we accomplish that. I think all of us have deepened our understanding of the CER process since we began this journey.”

The Georgia Scientific Computing Symposium (GSCS) held its annual meeting on February 21 in Athens. Since 2009, the event has hosted researchers from across the Peach State to showcase homegrown advances in scientific computing.

The symposium highlighted Georgia’s reputation as a computing innovation hub. People from around the world come to Georgia universities to lead computing research. By advancing science, engineering, medicine, and technology, their work improves communities at home and abroad.

Faculty and students from Georgia Tech, UGA, Georgia State University, and Emory University presented at the symposium. Georgia Tech participants came from the colleges of Computing, Engineering, and Sciences.

This year’s organizers agreed to meet in Atlanta for the 2027 symposium. Georgia Tech’s School of Computational Science and Engineering (CSE) will host the 19th GSCS.

“From healthcare to computer chip design, scientific computing underpins many of the technological advances we see in our lives,” said Professor Edmond Chow, associate chair of the School of CSE.

“Scientific computing provides the mathematical models, simulations, and data‑driven tools that make modern innovation possible. It allows people to analyze complex systems, test ideas virtually before building them, and make faster, more accurate decisions across nearly every sector of society.”

Professor Haomin Zhou and Assistant Professor Helen Xu delivered two of the symposium’s five plenary talks. 

Zhou presented a new method for solving the Schrödinger equation, a landmark equation in quantum mechanics. Drawing inspiration from the mathematics used in generative artificial intelligence models, his approach develops an algorithm that more effectively simulates waves, particle motion, and other physical systems.

Xu focused on improving how computers move and organize data during complex calculations. Her work uses “cache-friendly” layouts that help computers access data more efficiently, boosting performance for scientific and engineering applications.

“Speaking at GSCS was a great opportunity,” Xu said. “The symposium fostered connections within the scientific computing community and gave us a chance to share exciting research.”

The symposium showcased student work through a poster blitz and a poster session. During the blitz, 36 students each had one minute to introduce their research to the full audience. They then shared more details about their research during the poster session.

The student projects showed the range of fields supported by scientific computing. The session also provided attendees with an opportunity to connect and expand their professional networks, helping grow the field’s future impact.

“As an aerospace engineer by training and aspiring computational scientist, GSCS gave me the platform to network with other researchers in the field while showcasing my own research,” said M.S. student Kashvi Mundra. 

“I was able to connect with scientists across different disciplines whose work intersects with my own in unexpected ways. Those conversations pushed my thinking beyond my own lab's perspective, helping me see my work on physics-informed machine learning for inverse problems in a broader scientific computing context.”

Georgia Tech students who presented posters included:

Abir Haque (CSE), Massively Parallel Random Phase Approximation Correlation Energy via Lanczos Quadrature

Antonio Varagnolo (CSE), Physics-Enhanced Deep Surrogates for the Phonon Boltzmann Transport Equation

Ben Burns (CSE), Infinite-Dimensional Stein Variational Inference with Derivative-Informed Neural Operators

Ben Wilfong (CSE), Shocks without Shock Capturing; Compressible Flow at 1 quadrillion Degrees of Freedom without Loss of Accuracy

Daniel Vickers (CSE), Highly-Parallel Fluid-Solid Interactions for Compressible Flows

Eric Fowler (CSE), High-Performance Tensor Contractions in Computational Chemistry

Haoran Yan (Math), Understanding Denoising Autoencoders through the Manifold Hypothesis: A Geometric Perspective

Kashvi Mundra (CSE), Autoregressive Multifidelity Neural Surrogate Modeling under Scarce Data Regimes

Sebastián Gutiérrez Hernández (Math/CSE), PDPO: Parametric Density Path Optimization

Vivian Zhang (AE), Multifidelity Operator Inference: Non-Intrusive Reduced Order Modeling from Scarce Data

Xian Mae Hadia (CSE), Data Efficiency of Surrogate Models: Learning Physics Data from Full Field Data vs. Inductive Bias from Approximate PDE Solvers

Xiangming Huang (CSE), Neural Operator Accelerated Evolutionary Strategies for PDE-Constraint Optimization

Zhaiming Shen (Math), Understanding In-Context Learning on Structured Manifolds: Bridging Attention to Kernel Methods

Zhongjie Shi (Math), Towards Understanding Generalization in DP-GD: A Case Study in Training Two-Layer CNNs

New cybersecurity research from the Georgia Institute of Technology, however, revealed that crews aboard commercial vessels were often not adequately prepared to manage cyberattacks effectively due to systemic training gaps.

The findings are based on interviews conducted by researchers with more than 20 officer-level mariners to assess the maritime industry’s readiness to handle cybersecurity attacks at sea.

"Historically, cybersecurity research has focused heavily on cyber-physical systems like cars, factories, and industrial plants, but ships have largely been overlooked,” said Anna Raymaker, Ph.D. student and lead researcher.

“That gap is concerning when more than 90% of the world’s goods travel by sea. Recent incidents, from GPS spoofing to ships linked to subsea cable disruptions, show that maritime systems are increasingly part of the global cyber threat landscape.”

The researchers proposed four practical strategies to strengthen maritime cyber defenses and close the training gaps. Their findings were presented recently at the ACM SIGSAC Conference on Computer and Communications Security (CCS).

1. Make Cybersecurity Training Actually Maritime

Many of those interviewed for the study described current cybersecurity training as “boilerplate” — generic modules that don’t reflect real shipboard risks. 

Researchers recommend:

• Role-specific instruction: Navigation officers should learn to detect and identify GPS spoofing. Engineers should focus on vulnerabilities in remotely monitored systems.
• Bridging IT and Operational Technology: Crews need to understand how attacks on IT systems can trigger physical consequences in operational technology — including collisions, groundings, or explosions.
• Hands-on delivery: Replace passive PowerPoints with drills and in-person exercises that build muscle memory.
• Accessible standards: Training must account for the wide range of educational backgrounds across crews and be standardized across ranks.

2. Move Beyond “Call IT”

At sea, crews can’t simply escalate a cyber incident to a shore-based IT department and wait. Operational resilience requires onboard readiness.

Researchers recommend:

• Vessel-specific response plans: Ships need clear, actionable protocols for threats such as AIS jamming or radar manipulation.
• Military-style drills: Adopting MCON (Emission Control) exercises — used by the U.S. Military Sealift Command — can train crews to operate safely without electronic systems.
• Stronger connectivity controls: High-bandwidth satellite systems like Starlink introduce new risks. Clear policies and network segregation are essential to prevent new entry points for attackers.

Related Article: When GPS lies at sea: How electronic warfare is threatening ships and their crews by Anna Raymaker

3. Create Unified, Ship-Specific Regulations

Maritime cybersecurity regulations are often reactive and fragmented. Researchers argue the industry needs a cohesive, domain-specific framework.

Key recommendations include:

• A unified global model: Like the energy sector’s NERC CIP standards, a maritime framework could mandate baseline controls such as encryption, network segmentation, and anonymous incident reporting.
• Rules built for real crews: Regulations designed for large naval operations don’t translate well to smaller merchant or research vessels. Standards must reflect actual shipboard conditions.
• Future-proofing requirements: Autonomous ships and remotely operated vessels expand the cyber-physical attack surface. Regulations must proactively address these emerging technologies.

4. Invest in Maritime-Specific Cyber Research

Finally, the researchers stress that long-term resilience requires deeper technical research focused on maritime systems.

Priority areas include:

• Real-time intrusion detection systems tailored to shipboard protocols.
• Proactive security risk assessments of interconnected onboard systems.
• Cyber-physical modeling to better understand cascading failures in complex maritime environments.

The Bottom Line

Cyber threats at sea are no longer hypothetical. Mariners report real-world incidents ranging from GPS spoofing to ransomware that disrupts global trade.

“Through our interviews with mariners, I saw firsthand how much dedication and pride they take in their work,” said Raymaker. “Our goal is for this research to serve as a call to action for researchers, policymakers, and industry to invest more attention in maritime cybersecurity and support the people who risk their lives every day to keep global trade, food, and energy moving."

A Sea of Cyber Threats: Maritime Cybersecurity from the Perspective of Mariners was presented at CCS 2025. It was written by Raymaker and her colleagues, Ph.D. students Akshaya Kumar, Miuyin Yong Wong, and Ryan Pickren; Research Scientist Animesh Chhotaray, Associate Professor Frank Li, Associate Professor Saman Zonouz, and Georgia Tech Provost and Executive Vice President for Academic Affairs Raheem Beyah.

Amino acids also play a critical role commercially where they are manufactured and added to pharmaceuticals, dietary supplements, cosmetics, animal feeds, and industrial chemicals — an energy-intensive process leading to greenhouse gas emissions, resource consumption, and pollution.

A landmark new system developed at Georgia Tech could lead to an alternative: a commercially scalable, environmentally sustainable method for amino acid production that is carbon negative, using more carbon than it emits.

The breakthrough builds on a method that the team pioneered in 2024 and solves a key issue – increasing efficiency to an unprecedented 97% and reducing the bioprocess cost by over 40%. It’s the highest reported conversion of CO2 equivalents into amino acids using any synthetic biology system to date.

Published in the journal ACS Synthetic Biology, the study, “Cell-Free-Based Thermophilic Biocatalyst for the Synthesis of Amino Acids From One-Carbon Feedstocks,” was led by Bioengineering Ph.D. student Ray Westenberg and Professor Pamela Peralta-Yahya, who holds joint appointments in the School of Chemistry and Biochemistry and School of Chemical and Biomolecular Engineering. The team also included Shaafique Chowdhury (Ph.D. ChBE 25) and Kimberly Wennerholm (ChBE 23); alongside University of Washington collaborators Ryan Cardiff, then a Ph.D. student and now a Chain Reaction Innovations Fellow at Argonne National Laboratory, and Charles W. H. Matthaei Endowed Professor in Chemical Engineering James M. Carothers; in addition to Pacific Northwest National Laboratory Synthetic Biology Team Leader Alexander S. Beliaev.

"This work shifts the narrative from simply reducing carbon emissions to actually consuming them to create value,” says Peralta-Yahya. “We are taking low-cost carbon sources and building essential ingredients in a truly carbon-negative process that is efficient, effective, and scalable.”

Heat-Loving Organisms

The work builds on the cell-free technology the team used in their earlier study. “Previously, we discovered that a system that uses the machinery of cells, without using actual living cells, could be used to create amino acids from carbon dioxide,” Peralta-Yahya explains. “But to create a commercially viable system, we needed to increase the system’s efficiency and reduce the cost.”

The team discovered that bits of leftover cells were consuming starting materials, and — like a machine with unnecessary gears or parts — this limited the system’s efficiency. To optimize their “machine,” the team would need to remove the extra background machinery.

"Leftover cell parts were using key resources without helping produce the amino acids we were looking for,” says Peralta-Yahya. “We knew that heating the system could be one way to purify it because heat can denature these components.”

The challenge was in how to protect the essential system components from the high temperatures, she adds. “We wondered if introducing enzymes produced by a heat-loving bacterium, Moorella thermoacetica, might protect our system, while still allowing us to denature and remove that inefficient background machinery.”

The results were astounding: after introducing the enzymes, heating and “cleaning” the system, and letting it cool to room temperature, synthesis of the amino acids serine and glycine leaped to 97% yield — nearly three times that of the team’s previous system.

Scaling for Sustainability

To make the system viable for large-scale use, the team also needed to reduce costs. “One of the most costly components in this system is the cofactor tetrahydrofolate (THF),” Peralta-Yahya shares. “Reducing the amount of THF needed to start the process was one way to make the system more inexpensive and ultimately more commercially viable.”

By linking reaction steps so waste from one step fueled the next, the team devised a method to recycle THF within the system that reduces the amount of THF needed by five-fold — lowering bioprocessing costs by 42%.

“This decrease in cost and increase in yield is a critical step forward in creating a method with real potential for use in industry and manufacturing,” Peralta-Yahya says. “This system could pave the way for moving this carbon-negative technology out of the lab and onto the continuous, industrial scale."

Funding: The Advanced Research Project Agency-Energy (ARPA-E); U.S. Department of Energy; and the U.S. Department of Energy, Office of Science, Biological and Environmental Research Program.

DOI: https://doi.org/10.1021/acssynbio.5c00352

Set in the heart of Tech Square on the Georgia Tech campus, this year’s event explores how energy systems, materials, technologies, supply chains, and policy must evolve in response to AI’s accelerating impact. As digital infrastructure expands and computation intensifies, the need for reliable, resilient, and sustainable power has never been more urgent. 

“Energy Day reflects Georgia Tech’s strength in connecting world-class research in materials and components with the infrastructure and partnerships needed to translate discovery into scalable energy technologies that serve industry, society, and the future economy,” said Eric Vogel, executive director of the IMS and the Hightower Professor in Materials Science and Engineering. 

Energy Day 2026 also marks an important milestone with the introduction of its first group of corporate sponsors: GE Vernova, Southern Company, Georgia Power, ExxonMobil, Southwire Spark, Gems Setra, and Tektronix. Their support reflects a shared commitment to advancing energy solutions. 

“Tektronix is excited to be part of Energy Day because advancing the future of energy starts with precise measurement and trusted insights,” said Christopher Bohn, president of Tektronix. “From power electronics and high voltage systems to grid scale renewables and AI driven control technologies, the breakthroughs discussed here directly align with the innovations we support through our products and solutions. Collaborating with Georgia Tech allows us to engage early with emerging research and the next generation of engineers—critical collaborators in building a cleaner, smarter, and more resilient energy ecosystem.”

The keynote address will be delivered by Vanessa Z. Chan, a nationally recognized leader at the intersection of innovation, commercialization, and emerging technologies. Chan will provide insights on accelerating technological discovery, emphasizing how AI is transforming energy and materials design. She will discuss how commercialization strategies must rapidly evolve across multidisciplinary energy domains from grid modernization to advanced batteries and clean manufacturing.

Building on the themes introduced in the keynote, the program transitions into a fireside chat with Georgia Tech EVPR Tim Lieuwen featuring Amit Kulkarni and Jim Walsh. Kulkarni is vice president of Product Management and Strategy for the Gas Power business within GE Vernova, where he oversees the world’s largest portfolio of power generation equipment. Walsh, vice president of GE Vernova’s Consulting Services, leads teams providing innovative solutions across the full spectrum of power generation, delivery, and utilization.

Next comes a policy-focused panel that will explore the surge in power demand driven by AI, how the United States is addressing today’s most urgent energy challenges, and the long-term implications of today’s decisions for a sustainable energy future. Bringing together leading voices in U.S. environmental and energy policy, the panel features Joe Aldy of Harvard University and former special assistant to the president for Energy and Environment; Al McGartland of New York University’s Institute for Policy Integrity and former Environmental Protection Agency lead economist and director of the National Center for Environmental Economics; and Kevin Rennert, fellow and director of the Comprehensive Climate Strategies Program at Resources for the Future and former staff member on the U.S. Senate Committee on Energy and Natural Resources.

The second panel focuses on critical materials — the foundation of advanced energy systems and digital technologies. As AI, data centers, and advanced energy technologies drive demand for critical materials, securing them now requires integration and coordination across the entire value chain. Panelists include Rachel Galloway, British consul general in Atlanta; Vijay Murugesan, head of Materials Intelligence and Digital Innovation at Amazon; Colin Spellmeyer, executive strategic sourcing leader at GE Vernova;  Charles Sims, Tennessee Valley Authority Distinguished Professor of Energy and Environmental Policy at the University of Tennessee; and Nortey Yeboah, principal engineer at Southern Company. Together, they will offer perspectives on the policy and economic frameworks shaping the energy supply chain, from developing raw resources to manufacturing the technologies essential to future energy systems.

In the afternoon, participants can dive deeper into specialized topics through three focused technical tracks. 

• “Meeting the Demand for Power” will examine how emerging technologies, advanced nuclear systems, and renewable integration can work together to deliver reliable, resilient electricity.
• “Data Center Infrastructure and Resources” will explore innovations in thermal management technologies, energy-efficient computing, and the broader resource impacts of expanding digital infrastructure.
• “Grid Technologies and Markets” will highlight strategies for strengthening grid capacity, incorporating demand-side management, and optimizing carbon performance as energy systems evolve.

“Meeting the rapidly rising electricity demand driven by AI requires bold ideas, coordinated action, and research that moves at the speed of innovation,” said Yuanzhi Tang, executive director of the SEI. “Energy Day 2026 brings together the people and expertise needed to shape resilient, sustainable energy systems for the future. At Georgia Tech, we see this event as a catalyst for new partnerships, new solutions, and a shared commitment to strengthening the nation’s energy foundation.”

Energy Day 2026 is designed for researchers advancing emerging energy technologies, policymakers navigating shifting regulatory and geopolitical landscapes, industry professionals seeking insight into emerging tools and supply chains, and students preparing to enter one of the most consequential sectors of the decade. It also welcomes anyone interested in AI, sustainability, electrification, and critical materials. 

Join us to explore the future of energy. To learn more and register, visit: Energy Day 2026.

In the International Disaster Reconnaissance (IDR) course, students now use Filio, a platform built by School of Computing Instruction Senior Lecturer Max Mahdi Roozbahani, to capture immersive 360° media, photos, and video that transform real disaster sites in India and Nepal into living digital classrooms. 

Offered by the School of Civil and Environmental Engineering and taught by IDR director and Regents’ Professor David Frost, the course pairs traditional fieldwork with Roozbahani’s expertise in immersive technology and data-driven learning, transforming on-the-ground observations into reusable, interactive educational resources. 

How Computing Can Capture Data 

Disasters are not only physical events; they are also information events, Roozbahani says. Effective response and long-term resilience depend on the ability to observe, record, and communicate critical data under pressure. Georgia Tech’s IDR course pairs structured on-campus preparation with international field experiences, enabling students to study the cascading effects of major disasters, including how local building practices, governance, and culture shape damage and recovery. 

“When students step into a disaster zone, they learn quickly that resilience is a systems problem: physical, social, and informational. Our job in computing is to help them capture and reason about that system responsibly,” Roozbahani said. 

Learning from the 2025 Himalayas Expedition 

During spring break last year, the cohort traveled along the Teesta River corridor in Sikkim, India. The region is shaped by steep terrain, fast-moving water, and critical infrastructure in narrow valleys. 

The visit followed the October 2023 glacial lake outburst flood from South Lhonak Lake, which destroyed the Teesta III hydropower dam and impacted downstream towns, including Dikchu and Rangpo. Field stops across India included Lachung, Chungthang, Dikchu, Rangpo, Gangtok, and New Delhi. 

Students explored both upstream and downstream consequences. 

Upstream, the team examined how steep terrain and river confinement amplify flood forces, creating cascading risks for infrastructure. Using Filio’s interactive 360° media, students captured conditions in Lachung and Chungthang, allowing viewers to explore the landscape through a 360° photo and 360° video that reveal how topography and river dynamics intensify disaster impacts. 

They studied community-scale effects downstream, including damaged buildings, disrupted access, and prolonged recovery timelines. 

Rangpo offered a glimpse of recovery in motion, with materials staged for rebuilding bridges and roads essential to commerce and emergency response.

Ryan Punamiya (CS 2025) and Summer Abramson, a third-year computational media student, have been honored by the Computing Research Association (CRA) through its 2025–2026 Outstanding Undergraduate Researcher Award (URA) program. 

Punamiya was named a runner-up for the prestigious award, while Abramson received an honorable mention among hundreds of applicants from universities across North America. 

The CRA Outstanding Undergraduate Researcher Award program recognized eight awardees in 2026, along with eight runners-up, nine finalists, and over 200 honorable mentions from thousands of applications.  

Advancing Robotics Research 

Punamiya knew early on that he didn’t want to wait until starting his Ph.D. to do meaningful and impactful robotics research.  

Punamiya joined the Robot Learning and Reasoning Lab (RL2) directed by Assistant Professor Danfei Xu. While there, he contributed to the lab’s Meta-sponsored EgoMimic project, which trains robots to perform human tasks using recordings captured by Meta’s Project Aria research glasses. 

Punamiya is also the first author of a paper accepted to the 2025 Conference on Neural Information Processing Systems (NeurIPS), one of the world’s most prestigious artificial intelligence (AI) and machine learning conferences. 

“Ryan is the strongest undergraduate I've worked with,” Xu said, “including students who went on to Stanford, Berkeley, and leadership roles in major tech companies. He’s already operating at the level of a strong third-year Ph.D. student.” 

Punamiya said it was a challenge to balance his undergraduate coursework with his research in Xu’s lab. 

“You get out how much you put in,” he said. “I built my class schedule to give myself as much time to do research as possible. It also boils down to having the right research mentors. 

“(Xu) never saw me as an undergrad who’s just there to do grunt work. I was fortunate he saw my curiosity and cultivated me as a researcher. That’s really how you get more undergrads motivated to research — giving them the chance to be independent and explore ideas of their own.” 

Punamiya said his work in Xu’s lab has already helped him identify the research areas he wants to focus on as he considers his next steps. He will continue developing generalized training models for robots using human data so they can perform tasks instantly upon deployment. 

"The amount of data needed to train a robot is difficult to obtain even for top industry companies," he said. "We have embodied robot data available in billions of humans. With the advent of extended reality devices, we can get a scalable source of diverse interactions within environments."

Punamiya graduated in December and recently started an internship at Nvidia. He mentioned he has been accepted into several Ph.D. programs, including Georgia Tech, and he is choosing where to continue his research. 

“It’s the first time my research has been acknowledged externally by the robotics community,” he said. “It’s good to know the problem I’m working on is important, and that motivates me. Robotics is an exciting field. We are doing things now that two years ago were difficult to do.” 

Researching Inclusion in Computing Education 

Abramson conducts research in the People-Agents Research for Computing Education (PARCE) Laboratory under the mentorship of Pedro Guillermo Feijóo-García, a faculty member in the School of Computing Instruction. He and the Associate Dean for Undergraduate Education, Olufisayo Omojokun, nominated her for the award. 

Her work focuses on the intersection of computing education and human-AI interaction, where she’s been exploring ways to create more equitable technology. 

“This is such a huge milestone, and I couldn't be prouder of Summer,” Feijóo-García said. “Mentoring her for almost two years has been an amazing experience.” 

Abramson has received the Georgia Tech President’s Undergraduate Research Award (PURA) twice, which supports her research exploring how user-centered design curricula can help address attrition among women in computing.

“I’ve had the amazing opportunity to pursue research at the intersection of student identity, community belonging, and how we can build tools that support our diverse student population,” Abramson said. 

“Dr. Pedro and I have a goal to build community through a human-first approach, and I could not be more grateful for his support and guidance in my own journey. The CRA highlights the best of what the computing discipline has to offer, and I am incredibly honored for our work to be recognized.”

Abramson will spend the summer researching how user-centered design curricula can help promote confidence, belonging, and retention for women in computing.

Nominees for the PURA program were recognized for contributing to multiple research projects, authoring or coauthoring papers, presenting at conferences, developing widely used software artifacts, and supporting their communities as teaching assistants, tutors, and mentors. 

School of Computing Instruction Communications Officer Emily Smith contributed to this story.

Main Photo: Ryan Punamiya works with a robot during the 2025 International Conference on Robotics and Automation in Atlanta. Photo by Terence Rushin/College of Computing.

Georgia Tech researchers say HPC and artificial intelligence (AI) advances this year are poised to improve how people power their homes, design safer buildings, and travel through cities.

According to Qi Tang, scientists will take progressive steps toward cleaner, sustainable energy through nuclear fusion in 2026. 

“I am very hopeful about the role of advanced computing and AI in making fusion a clean energy source,” said Tang, an assistant professor in the School of Computational Science and Engineering (CSE). 

“Fusion systems involve many interconnected processes happening across different scales. Modern simulations, combined with data-driven methods, allow us to bring these pieces together into a unified picture.”

Tang’s research connects HPC and machine learning with fusion energy and plasma physics. This year, Tang is continuing work on large-scale nuclear fusion models.

Only a few experimental fusion reactors exist worldwide compared to more than 400 nuclear fission reactors. Tang’s work supports a broader effort to turn fusion from a promising idea into a practical energy source.

Nuclear fusion occurs in plasma, the fourth state of matter, where gas is heated to millions of degrees. In this extreme state, electrons are stripped from atoms, creating a hot soup of fast-moving ions and free electrons. In plasma, hydrogen atoms overcome their natural electrical repulsion, collide, and fuse together. This releases energy that can power cities and homes.

Computers interpret extreme temperatures, densities, pressures, and plasma particle motion as massive datasets. Tang works to assimilate these data types from computer models and real-world experiments.

To do this, he and other researchers rely on machine learning approaches to analyze data across models and experiments more quickly and to produce more accurate predictions. Over time, this will allow scientists to test and improve fusion reactor designs toward commercial use. 

Beyond energy and nuclear engineering, Umar Khayaz sees broader impacts for HPC in 2026.

“HPC is the need of the day in every field of engineering sciences, physics, biology, and economics,” said Khayaz, a CSE Ph.D. student in the School of Civil and Environmental Engineering. 

“HPC is important enough to say that we need to employ resources to also solve social problems.”

Khayaz studies dynamic fracture and phase-field modeling. These areas explore how materials break under sudden, rapid loads. 

Like nuclear fusion, Khayaz says dynamic fracture problems are complex and data-intensive. In 2026, he expects to see more computing resources and computational capabilities devoted to understanding these problems and other emerging civil engineering challenges.

CSE Ph.D. student Yiqiao (Ahren) Jin sees a similar relationship between infrastructure and self-driving vehicles. He believes AI will innovate this area in 2026.

At Georgia Tech, Jin develops efficient multimodal AI systems. An autonomous vehicle is a multimodal system that uses camera video, laser sensors, language instructions, and other inputs to navigate city streets under changing scenarios like traffic and weather patterns.

Jin says multimodal research will move beyond performance benchmarks this year. This shift will lead to computer systems that can reason despite uncertainty and explain their decisions. In result, engineers will redefine how they evaluate and deploy autonomous systems in safety-critical settings.

“Many foundational problems in perception, multimodal reasoning, and agent coordination are being actively addressed in 2026. These advances enable a transition from isolated autonomous systems to safer, coordinated autonomous vehicle fleets,” Jin said. 

“As these systems scale, they have the potential to fundamentally improve transportation safety and efficiency.”

Over the course of 36 hours, participants collaborated in teams to brainstorm, design, and prototype projects that promote sustainable practices based on diverse problem statements, addressing this year’s tracks: renewables; electrification & mobility; and smart grid. These themes targeted urgent issues, from balancing renewable energy supply and demand to safeguarding infrastructure against cyber threats and reducing greenhouse gas emissions. Despite the arrival of a winter storm and the hackathon shifting to a fully virtual format, students persevered and produced top-tier projects, which were evaluated by a panel of judges. 

The event kicked off with an engaging opening ceremony featuring inspiring keynote speeches that set the tone for the hackathon’s ambitious objectives. Ann Dunkin, Distinguished External Fellow at Georgia Tech’s Strategic Energy Institute (SEI), served as the first of these keynotes, presenting her experiences as chief information officer for the U.S. Department of Energy. She gave participants, whether newcomers or veterans in the energy space, diverse problems to tackle, ranging from cybersecurity risks in substations to climate concerns in the age of artificial intelligence. Dunkin emphasized that no matter the challenge, a strong team can always develop innovative solutions. 

“I was impressed by the quality and completeness of the solutions that the students created over about 40 hours,” said Dunkin. "Students created real solutions that meet market needs, and they conveyed an incredible amount of information in the three minutes they had to present their solutions.” 

Despite the switch to a virtual format, participants could still talk to mentors throughout the event. These mentors included a Google lead, startup CEOs, Ph.D. researchers, and other professionals with decades of experience in the energy industry. Mentors provided feedback on participants’ ideas and guided them to think more deeply about the problems they chose. The various workshops also provided participants with a chance to dig deep into specific topics. 

Michael Levy, U.S. utilities lead at global consulting firm Baringa, presented his workshop on using data and modeling to shape utility decisions, policy, and regulatory strategy. GE Vernova representatives presented “The Energy of Change,” an interactive workshop featuring climate simulations and team challenges to explore the trade-offs between cost, grid capacity, and carbon impact in the real world. Major League Hacking provided guides on GitHub Copilot and Google AI Studio. The final workshop, “Org Efficiency in Early Startups,” was led by Hunter Harris from the technology incubator complex Atlanta Tech Village. Harris taught participants what to prioritize in an early startup, including how to build a management structure and find the right strategy for attracting customers. 

Troy Rice, vice president and general manager of Florida Power and Light under NextEra Energy, gave a keynote speech on utility business models and how to set yourself apart in a large industry. Rice discussed his experience, which began as a Tech graduate from the H. Milton Stewart School of Industrial and Systems Engineering. After learning about NextEra’s business model, he eventually created and taught an internal class called “How NextEra Makes Money.” Rice used this story to explain the importance of becoming an expert in knowledge that others in your company overlook. He also discussed the future of energy generation, emphasizing the growth of renewable energy in utility portfolios and often-overlooked potential career opportunities. 

The energy and creativity culminated in the Project Expo, where 22 innovative solutions were showcased. Representatives from the Strategic Energy Institute, Microsoft, NextEra Energy, GE Vernova, and Georgia Tech professors judged projects, offering insights and feedback. 

The closing ceremony celebrated the participants’ achievements and the event highlights, featuring Emily Morris, founder and CEO of Emrgy, as the final keynote speaker. Morris shared insights from her experience as a technology startup founder in the energy sector, discussing the unique challenges of navigating a risk-averse industry. She encouraged aspiring entrepreneurs to start by envisioning their future press release to clarify their end goal and avoid getting lost in immediate challenges. Morris emphasized the importance of leveraging your network, whether your Georgia Tech connections or hometown community, regardless of whether you pursue academia, industry, or the startup world. 

With more than 110 registered participants, 22 project submissions, and leaders from some of the biggest energy and tech companies, EnergyHack@GT served as a platform for innovation and learning, showcasing the potential of student-led initiatives in shaping the future of energy and sustainability. Awards were presented to the top three projects for their creativity and impact, with the winning teams receiving cash prizes provided by the startup Tractian: 

• Best Overall Hack: AppliScan
• Second Place: TeraWatt
• Third Place: WattsUp 

Take a look at all the projects submitted: https://energyhack-gt-26.devpost.com/project-gallery

Written by Georgia Tech students: Braden Queen, Orit Endalk, Radhika Sharma 

The prize recognizes outstanding student research produced within the School and highlights the value of EPIcenter’s sustained research support and professional development for graduate students.

Ramadhani’s award-winning paper, titled “Battery Storage and Natural Gas Generator Market Power,” was developed during his participation in EPIcenter’s Summer Research Program for graduate and doctoral students pursuing energy policy research at Georgia Tech. Through the program, he received research mentoring and communications coaching that strengthened his work.

“This award reflects what can happen when students have the time, mentorship, and support to fully develop their ideas,” said Laura Taylor, director of EPIcenter. “Our Summer Research Program is designed to help graduate students advance rigorous energy policy research while also building the skills needed to communicate that work effectively.”

Supporting Graduate Research in Energy Policy

The program supports graduate students whose work contributes to energy policy and innovation. Student affiliates receive funding, mentorship, and access to EPIcenter’s research and communications resources, helping them build their academic profiles and translate complex research for broader audiences. 

In addition, they gain valuable opportunities to present their work, participate in EPIcenter programs and events, share their research through EPIcenter’s communications platforms, and build their skills through tailored collaboration and training with EPIcenter staff.

During the summer, Ramadhani worked closely with EPIcenter staff and mentors. The program’s stipend allowed him to spend those months fully focused on his research, rather than taking on teaching or other responsibilities.

"Participating in the program really made my summer productive. I got a lot of good feedback on how to shape the idea into a paper," he said.

Advancing Emerging Scholars

Ramadhani’s recognition reflects EPIcenter’s broader commitment to supporting graduate students whose research addresses critical energy and policy challenges. By pairing research support with mentorship and communications training, the center helps students develop work that earns recognition well beyond the program itself.

To support emergent startups, the early-stage accelerator will establish a collaborative facility at The Biltmore in Atlanta’s Tech Square, the national innovation district and dedicated area in the city that fosters community growth and meaningful innovation at the heart of the city’s tech scene. 

“Atlanta is where innovation becomes opportunity, and Velocity Startups will make that journey even faster,” said Donnie Beamer, senior technology advisor in the Atlanta Mayor’s Office of Technology and Innovation. “By connecting entrepreneurs to the critical resources they need to scale, we are fueling more startups, creating more jobs, and driving economic growth. Ultimately, this will secure Atlanta’s place as a top global destination for innovation, investment, and entrepreneurial success.”

As an early-stage accelerator, Velocity Startups provides resources — including mentorship support, space, tools, networks, and infrastructure — to Georgia Tech students, faculty, researchers, and the greater Atlanta community, bridging the gap from spinoff to viable startup. At Georgia Tech, many startups that complete the CREATE-X Startup Launch program and present at the Demo Day event will gain access to Velocity Startups. The accelerator will also offer strategic programming, funding, and access to Georgia Tech’s research resources and serve as a coordinating entity for Metro Atlanta’s entrepreneurial ecosystem, engaging more than 50 colleges and advocating for policies that support startup success. 

“Velocity Startups represents a pivotal step in bringing together the resources, expertise, and entrepreneurial spirit within our ecosystems as we look to further establish Atlanta as a top national tech hub. By uniting these elements, Velocity Startups will help startups scale from their first customer to long-term growth,” said Raghupathy “Siva” Sivakumar, vice president of commercialization and chief commercialization officer at Georgia Tech and president of Georgia Advanced Technology Ventures. “This accelerator enables the communities at Georgia Tech and beyond to translate groundbreaking research into high-impact ventures.”

Velocity Startups is a subsidiary of Georgia Advanced Technology Ventures and will operate in partnership with the City of Atlanta. A national search is currently underway for a director to lead the accelerator. 

For additional information about Velocity Startups, visit commercialization.gatech.edu/velocity.

“It has been a pleasure for the Center for Programs to Increase Engagement in the Sciences (C-PIES) to collaborate with Google and the College of Sciences Advisory Board to bring this fellowship, which will positively impact our community and highlight how science can align with public good,” says Lewis A. Wheaton, professor in the School of Biological Sciences and director of C-PIES. 

In the year ahead, the fellows will work with C-PIES and community partners on campus and in the metro Atlanta area to develop projects in one of three priority areas: civic and policy engagement, community-engaged research, and K-12 research outreach. 

The fellowship was open to all graduate students in the College of Sciences, and four inaugural fellows — Aniruddh Bakshi, Katherine Slenker, Miriam Simma, and Nikolai Simonov — were named based on their exciting, yet feasible applications.

Fellow Aniruddh Bakshi: Strengthening trust in science 

Ph.D. student Aniruddh Bakshi studies the problem of drug delivery at the intersections of organic chemistry, biochemistry, and immunology. As mRNA vaccines are closely related to his area of research, he sees the need for a grassroots outreach movement from young academics to help bolster public confidence in rigorous scientific methodology. 

In collaboration with local hospitals and nonprofits, his proposed project is to start a social media content series, titled “A Day in the Life of a Ph.D. Student,” to show the realities of graduate school for those interested in this career path while connecting his research to broader public issues. 

“Science has the power to solve urgent problems, but only if people understand and trust it,” says Bakshi. “Through this fellowship, I will use my research and outreach efforts to help strengthen that trust — showing how discoveries in drug delivery and vaccine design can make a real difference in people’s lives.” 

Fellow Katherine Slenker: Creating a biodiversity data network 

Atlanta is often referred to as “the city in a forest,” but according to Ph.D. student Katherine Slenker, wildlife has a difficult time navigating across roads and housing developments, often resulting in human-wildlife conflict. 

“Conservation ecologists have long recommended that the movement of wildlife could be eased through the creation of ‘ecological corridors,’ which connect greenspaces and wildlife populations,” she explains. “Determining the movement patterns of wildlife, and where such corridors may be best situated, requires that we first understand what species reside in the metro Atlanta area as well as how they are expected to disperse.”

As a fellow, Slenker plans to build a biodiversity data network by comparing wildlife monitoring at Davidson-Arabia Mountain Nature Preserve and Stone Mountain Park and increasing the coalition of metro Atlanta researchers. This data can be used in the development of ecological corridors to reduce clashing between humans and wildlife, notably animals struck by vehicles, and improve ecosystem health at these parks. 

Fellow Miriam Simma: Making structural biology research more accessible 

The study of crystallography is vital in academia, industry, and medicine because it enables researchers to decipher the atomic structures of proteins, but it is scarcely taught outside of graduate school. Ph.D. student Miriam Simma wants to change that. 

Her proposed project is to introduce protein crystallography to K-12 students and teachers through hands-on activities in local high school classrooms and to the public during the Atlanta Science Festival at Georgia Tech.

“My vision is to make structural biology research accessible, so everyone can engage with cutting-edge scientific research — fostering curiosity and interest in STEM careers,” says Simma. “Long term, I will synthesize these activities into a chemical education article that introduces K-12 students to protein structure and function.” 

Fellow Nikolai Simonov: Mentoring middle school scientists 

Last year, Ph.D. student Nikolai Simonov became involved in the GoSTEM Club at Lilburn Middle School — leading student activities and recruiting other graduate student volunteers. In partnership with Georgia Tech’s Center for Education Integrating Science, Mathematics and Computing, the club is a weekly afterschool program for students, many of whom come from underserved backgrounds, to grow their scientific curiosity. 

“I assembled a team of 10 Tech graduate students who could explain complex scientific concepts in approachable ways for middle school students. Through this fellowship, we are excited to enrich the GoSTEM Club with an ongoing mentorship program and materials for more ambitious science fair projects,” shares Simonov. 

As part of the program, club members can meet one-on-one with Georgia Tech mentors to discuss their educational and career goals. “By sharing their stories and connecting scientific ideas to real-world applications, our mentors aim to show students that STEM is not only accessible but a path toward a fulfilling life,” he adds.

To achieve better training outcomes with faster deployment results, Fukang Liu and Feiyang Wu, graduate students under Professor Ye Zhao from the Woodruff School of Mechanical Engineering and faculty member of the Institute for Robotics and Intelligent Machines, have published a duo of papers in IEEE Robotics and Automation Letters. This is a collaborative work with three other IRIM affiliated faculties, Profs. Danfei Xu, Yue Chen, and Sehoon Ha, as well as Prof. Anqi Wu from School of Computational Science and Engineering.

To develop more reliable motion learning for humanoid robots and enable humanoid robots to perform complex whole-body movements in the real world, Fukang led a team and developed Opt2Skill, a hybrid robot learning framework that combines model-based trajectory optimization with reinforcement learning.  Their framework integrates dynamics and contacts into the trajectory planning process and generates high-quality, dynamically feasible datasets, which result in more reliable motion learning for humanoid robots and improved position tracking and task success rates. This approach shows a promising way to augment the performance and generalization of humanoid RL policies using dynamically feasible motion datasets. Incorporating torque data also improved motion stability and force tracking in contact-rich scenarios, demonstrating that torque information plays a key role in learning physically consistent and contact-rich humanoid behaviors.

While other datasets, such as inverse kinematics or human demonstrations, are valuable, they don’t always capture the dynamics needed for reliable whole-body humanoid control.” said by Fukang Liu. “With our Opt2Skill framework, we combine trajectory optimization with reinforcement learning to generate and leverage high-quality, dynamically feasible motion data. This integrated approach gives robots a richer and more physically grounded training process, enabling them to learn these complex tasks more reliably and safely for real-world deployment. - Fukang Liu

In another line of humanoid research, Feiyang established a one-stage training framework that allows humanoid robots to learn locomotion more efficiently and with greater environmental adaptability. Their framework, Learn-to-Teach (L2T), unlike traditional two-stage “teacher-student” approaches, which first train an expert in simulation and then retrain a limited-perception student, teaches both simultaneously, sharing knowledge and experiences in real time. The result of this two-way training is a 50% reduction in training data and time, while maintaining or surpassing state-of-the-art performance in humanoid locomotion. The lightweight policy learned through this process enables the lab’s humanoid robot to traverse more than a dozen real-world terrains—grass, gravel, sand, stairs, and slopes—without retraining or depth sensors.

By training an expert and a deployable controller together, we can turn rich simulation feedback into a lightweight policy that runs on real hardware, letting our humanoid adapt to uneven, unstructured terrain with far less data and hand-tuning than traditional methods. - Feiyang Wu

By the application of these training processes, the team hopes to speed the development of deployable humanoid robots for home use, manufacturing, defense, and search and rescue assistance in dangerous environments. These methods also support advances in embodied intelligence, enabling robots to learn richer, more context-aware behaviors.Additionally, the training data process can be applied to research to improve the functionality and adaptability of human assistive devices for medical and therapeutic uses.

As humanoid robots move from controlled labs into messy, unpredictable real-world environments, the key is developing embodied intelligence—the ability for robots to sense, adapt, and act through their physical bodies,” said Professor Ye Zhao. “The innovations from our students push us closer to robots that can learn robust skills, navigate diverse terrains, and ultimately operate safely and reliably alongside people. - Prof. Ye Zhao

Author - Christa M. Ernst

Citations

Liu F, Gu Z, Cai Y, Zhou Z, Jung H, Jang J, Zhao S, Ha S, Chen Y, Xu D, Zhao Y. Opt2skill: Imitating dynamically-feasible whole-body trajectories for versatile humanoid loco-manipulation. IEEE Robotics and Automation Letters. 2025 Oct 13.

Wu F, Nal X, Jang J, Zhu W, Gu Z, Wu A, Zhao Y. Learn to teach: Sample-efficient privileged learning for humanoid locomotion over real-world uneven terrain. IEEE Robotics and Automation Letters. 2025 Jul 23.
 

Students and faculty from the School of Computational Science and Engineering (CSE) are leading the Georgia Tech contingent at the SIAM Conference on Computational Science and Engineering (CSE25). The Society of Industrial and Applied Mathematics (SIAM) organizes CSE25, occurring March 3-7 in Fort Worth, Texas.

At CSE25, the School of CSE researchers are presenting papers that apply computing approaches to varying fields, including:                   

• Experiment designs to accelerate the discovery of material properties
• Machine learning approaches to model and predict weather forecasting and coastal flooding
• Virtual models that replicate subsurface geological formations used to store captured carbon dioxide
• Optimizing systems for imaging and optical chemistry
• Plasma physics during nuclear fusion reactions

[Related: GT CSE at SIAM CSE25 Interactive Graphic] 

“In CSE, researchers from different disciplines work together to develop new computational methods that we could not have developed alone,” said School of CSE Professor Edmond Chow. 

“These methods enable new science and engineering to be performed using computation.” 

CSE is a discipline dedicated to advancing computational techniques to study and analyze scientific and engineering systems. CSE complements theory and experimentation as modes of scientific discovery. 

Held every other year, CSE25 is the primary conference for the SIAM Activity Group on Computational Science and Engineering (SIAG CSE). School of CSE faculty serve in key roles in leading the group and preparing for the conference.

In December, SIAG CSE members elected Chow to a two-year term as the group’s vice chair. This election comes after Chow completed a term as the SIAG CSE program director. 

School of CSE Associate Professor Elizabeth Cherry has co-chaired the CSE25 organizing committee since the last conference in 2023. Later that year, SIAM members reelected Cherry to a second, three-year term as a council member at large. 

At Georgia Tech, Chow serves as the associate chair of the School of CSE. Cherry, who recently became the associate dean for graduate education of the College of Computing, continues as the director of CSE programs. 

“With our strong emphasis on developing and applying computational tools and techniques to solve real-world problems, researchers in the School of CSE are well positioned to serve as leaders in computational science and engineering both within Georgia Tech and in the broader professional community,” Cherry said. 

Georgia Tech’s School of CSE was first organized as a division in 2005, becoming one of the world’s first academic departments devoted to the discipline. The division reorganized as a school in 2010 after establishing the flagship CSE Ph.D. and M.S. programs, hiring nine faculty members, and attaining substantial research funding.

Ten School of CSE faculty members are presenting research at CSE25, representing one-third of the School’s faculty body. Of the 23 accepted papers written by Georgia Tech researchers, 15 originate from School of CSE authors.

The list of School of CSE researchers, paper titles, and abstracts includes:
Bayesian Optimal Design Accelerates Discovery of Material Properties from Bubble Dynamics
Postdoctoral Fellow Tianyi Chu, Joseph Beckett, Bachir Abeid, and Jonathan Estrada (University of Michigan), Assistant Professor Spencer Bryngelson
[Abstract]

Latent-EnSF: A Latent Ensemble Score Filter for High-Dimensional Data Assimilation with Sparse Observation Data
Ph.D. student Phillip Si, Assistant Professor Peng Chen
[Abstract]

A Goal-Oriented Quadratic Latent Dynamic Network Surrogate Model for Parameterized Systems
Yuhang Li, Stefan Henneking, Omar Ghattas (University of Texas at Austin), Assistant Professor Peng Chen
[Abstract]

Posterior Covariance Structures in Gaussian Processes
Yuanzhe Xi (Emory University), Difeng Cai (Southern Methodist University), Professor Edmond Chow
[Abstract]

Robust Digital Twin for Geological Carbon Storage
Professor Felix Herrmann, Ph.D. student Abhinav Gahlot, alumnus Rafael Orozco (Ph.D. CSE-CSE 2024), alumnus Ziyi (Francis) Yin (Ph.D. CSE-CSE 2024), and Ph.D. candidate Grant Bruer
[Abstract]

Industry-Scale Uncertainty-Aware Full Waveform Inference with Generative Models
Rafael Orozco, Ph.D. student Tuna Erdinc, alumnus Mathias Louboutin (Ph.D. CS-CSE 2020), and Professor Felix Herrmann
[Abstract]

Optimizing Coupled Systems: Insights from Co-Design Imaging and Optical Chemistry
Assistant Professor Raphaël Pestourie, Wenchao Ma and Steven Johnson (MIT), Lu Lu (Yale University), Zin Lin (Virginia Tech)
[Abstract]

Multifidelity Linear Regression for Scientific Machine Learning from Scarce Data
Assistant Professor Elizabeth Qian, Ph.D. student Dayoung Kang, Vignesh Sella, Anirban Chaudhuri and Anirban Chaudhuri (University of Texas at Austin)
[Abstract]

LyapInf: Data-Driven Estimation of Stability Guarantees for Nonlinear Dynamical Systems
Ph.D. candidate Tomoki Koike and Assistant Professor Elizabeth Qian
[Abstract]

The Information Geometric Regularization of the Euler Equation
Alumnus Ruijia Cao (B.S. CS 2024), Assistant Professor Florian Schäfer
[Abstract]

Maximum Likelihood Discretization of the Transport Equation
Ph.D. student Brook Eyob, Assistant Professor Florian Schäfer
[Abstract]

Intelligent Attractors for Singularly Perturbed Dynamical Systems
Daniel A. Serino (Los Alamos National Laboratory), Allen Alvarez Loya (University of Colorado Boulder), Joshua W. Burby, Ioannis G. Kevrekidis (Johns Hopkins University), Assistant Professor Qi Tang (Session Co-Organizer)
[Abstract]

Accurate Discretizations and Efficient AMG Solvers for Extremely Anisotropic Diffusion Via Hyperbolic Operators
Golo Wimmer, Ben Southworth, Xianzhu Tang (LANL), Assistant Professor Qi Tang 
[Abstract]

Randomized Linear Algebra for Problems in Graph Analytics
Professor Rich Vuduc
[Abstract]

Improving Spgemm Performance Through Reordering and Cluster-Wise Computation
Assistant Professor Helen Xu
[Abstract]

Inspired by SpaceX’s Super Heavy booster, a team led by Georgia Tech’s Spencer Bryngelson and New York University’s Florian Schäfer modeled the turbulent interactions of a 33-engine rocket. Their experiment set new records, running the largest ever fluid dynamics simulation by a factor of 20 and the fastest by over a factor of four.

The team ran its custom software on the world’s two fastest supercomputers, as well as the eighth fastest, to construct such a massive model.

Applications from the simulation reach beyond rocket science. The same computing methods can model fluid mechanics in aerospace, medicine, energy, and other fields. At the same time, the work advances understanding of the current limits and future potential of computing. 

The team finished as runners-up for the 2025 Gordon Bell Prize for its impactful, multi-domain research. Referred to as the Nobel Prize of supercomputing, the award was presented at the world’s top conference for high-performance computing (HPC) research.

“Fluid dynamics problems of this style, with shocks, turbulence, different interacting fluids, and so on, are a scientific mainstay that marshals our largest supercomputers,” said Bryngelson, an assistant professor with the School of Computational Science and Engineering (CSE).

“Larger and faster simulations that enable solutions to long-standing scientific problems, like the rocket propulsion problem, are always needed. With our work, perhaps we took a big dent out of that issue.”

The Super Heavy booster reflects the space industry’s move toward reusable multi-engine first-stage rockets that are easier to transport and more economical overall. 

However, this shift creates research and testing challenges for new designs.

Each of Super Heavy’s 33 thrusters expels propellant at ten times the speed of sound. As individual engines reach extreme temperatures, pressures, and densities, their combined interactions with the airframe make such violent physics even more unpredictable.

Frequent physical experiments would be expensive and risky, so scientists rely on computer models to supplement the engineering process. 

Bryngelson’s flagship Multicomponent Flow Code (MFC) software anchored the experiment. MFC is an open-source computer program that simulates fluid dynamic models. Bryngelson’s lab has been modifying MFC since 2022 to run on more powerful computers and solve larger problems. 

In computing terms, this MFC-enhanced model simulated fluid flow resolution at 200 trillion grid points and one quadrillion degrees of freedom. These metrics exceeded previous record-setting benchmarks that tallied 10 trillion and 30 trillion grid points.

This means MFC simulations provide greater detail and capture smaller-scale features than previous approaches. The rocket simulation also ran four times faster and achieved 5.7 times the energy efficiency of comparable methods.   

Integrating information geometric regularization (IGR) into MFC played a key role in attaining these results. This new approach improved the simulation’s computational efficiency and overcame the challenge of shock dynamics.

In fluid mechanics, shock waves occur when objects move faster than the speed of sound. Along with hampering the performance of airframes and propulsion systems, shocks have historically been difficult to simulate.

Computational scientists have used empirical models based on artificial viscosity to account for shocks. Although these approaches mimic the physical effects of shock waves at the microscopic scale, they struggle to effectively capture the large-scale features of the flow. 

Information geometry uses curved spaces to study concepts of statistics and information. IGR uses these tools to modify the underlying geometry in fluid dynamics equations. When traveling in the modified geometry, fluid in the model preserves the shocks in a more natural way. 

“When regularizing shocks to much larger scales relevant in these numerical simulations, conventional methods smear out important fine-scale details,” said Schäfer, an assistant professor at NYU’s Courant Institute of Mathematical Sciences.

“IGR introduces ideas from abstract math to CFD that allow creating modified paths that approach the singularity without ever reaching it. In the resulting fluid flow, shocks never become too spiky in simulations, but the fine-scale details do not smear out either.” 

Simulating a model this large required the Georgia Tech researchers to run MFC on El Capitan and Frontier, the world's two fastest supercomputers. 

The systems are two of four exascale machines in existence. This means they can solve at least one quintillion (“1” followed by 18 zeros) calculations per second. If a person completed a simple math calculation every second, it would take that person about 30 billion years to reach one quintillion operations.

Frontier is housed at Oak Ridge National Laboratory and debuted as the world’s first exascale supercomputer in 2022. El Capitan surpassed Frontier when Lawrence Livermore National Laboratory launched it in 2024.

To prepare MFC for performance on these machines, Bryngelson’s lab followed a methodical approach spanning years of hardware acquisition and software engineering. 

In 2022, Bryngelson attained an AMD MI210 GPU accelerator. Optimizing MFC on the component played a critical step toward preparing the software for exascale machines.

AMD hardware underpins both El Capitan and Frontier. The MI300A GPU powers El Capitan while Frontier uses the MI250X GPU. 

After configuring MFC on the MI210 GPU, Bryngelson’s lab ran the software on Frontier for the first time during a 2023 hackathon. This confirmed the code was ready for full-scale deployment on exascale supercomputers based on AMD hardware. 

In addition to El Capitan and Frontier, the simulation ran on Alps, the world’s eight-fastest supercomputer based at the Swiss National Supercomputing Centre. It is the largest available system that features the NVIDIA GH200 Grace Hopper Superchip.

Like with AMD GPUs, Bryngelson acquired four GH200s in 2024 and began configuring MFC to the latest hardware innovation powering New Age supercomputers. Later that year, the Jülich Research Centre accepted Bryngelson’s group into an early access program to test JUPITER, a developing supercomputer based on the NVIDIA superchip.

The group earned a certificate for scaling efficiency and node performance on the way toward validating that their code worked on the GH200. The early access project proved successful for JUPITER, which launched in 2025 as Europe’s fastest supercomputer and fourth fastest in the world.

“Getting the level of hands-on experience with world-leading supercomputers and computing resources at Georgia Tech through this project has been a fantastic opportunity for a grad student,” said CSE Ph.D. student Ben Wilfong.

“To leverage these machines, I learned more advanced programming techniques that I’m glad to have in my tool belt for future projects. I also enjoyed the opportunity to work closely with and learn from industry experts from NVIDIA, AMD, and HPE/Cray.”

El Capitan, Frontier, JUPITER, and Alps maintained their rankings at the 2025 International Conference for High Performance Computing Networking, Storage and Analysis (SC25). Of note, the TOP500 announced at SC25 that JUPITER surpassed the exaflop threshold. 

The SC Conference Series is one of two venues where the TOP500 announces updated supercomputer rankings every June and November. The TOP500 ranks and details the 500 most powerful supercomputers in the world. 

The SC Conference Series serves as the venue where the Association for Computing Machinery (ACM) presents the Gordon Bell Prize. The annual award recognizes achievement in HPC research and application. The Tech-led team was among eight finalists for this year’s award.

Along with Bryngelson, Georgia Tech members included Ph.D. students Anand Radhakrishnan and Wilfong, postdoctoral researcher Daniel Vickers, alumnus Henry Le Berre (CS 2025), and undergraduate student Tanush Prathi.

Schäfer’s partnership with the group stems from his previous role as an assistant professor at Georgia Tech from 2021 to 2025. 

Collaborators on the project included Nikolaos Tselepidis and Benedikt Dorschner from NVIDIA, Reuben Budiardja from ORNL, Brian Cornille from AMD, and Stephen Abbot from HPE. All were co-authors of the paper and named finalists for the Gordon Bell Prize. 

“I’m elated that we have been nominated for such a prestigious award. It wouldn't have been possible without the combined and diligent efforts of our team,” Radhakrishnan said. 

“I’m looking forward to presenting our work at SC25 and connecting with other researchers and fellow finalists while showcasing seminal work in the field of computing.”

The surface and atmosphere of Mars have seen many changes over its 4.5-billion-year history. While the planet's current atmosphere is very thin (about 0.6% of Earth's), it was once thick enough to sustain liquid water.

According to new research published in Communications Earth & Environment, these atmospheric changes could play a key role in how we interpret sediment deposits on the planet.

“We found that the changing pressure resulting from atmospheric changes would have produced sediment-rich water flows with varying shapes over time,” says co-author and Georgia Tech Assistant Professor Frances Rivera-Hernández, adding that since Mars’ present-day atmosphere is very thin, the associated low pressures would produce behaviors not seen on Earth. 

“Earth’s thicker atmosphere means that there are higher pressures on our planet, which produce very different behaviors,” she explains. “This means that Earth analogs may not be reliable for interpreting some Martian sedimentary landscapes.”

“At low present-day pressures, Mars mud would boil and levitate if the surface temperature was warm, or freeze and flow more like lava if the temperature was cold,” adds study lead Jacob Adler, who began working on the project while a postdoctoral researcher in Rivera-Hernández’s PLANETAS Lab at Georgia Tech, and continued the study in his current role as an assistant research professor in Arizona State University's School of Earth and Space Exploration. 

The team also included Georgia Tech Ph.D. student and current PLANETAS Lab member Sharissa Thompson, along with researchers from the Open University and Czech Academy of Sciences.

“This study adds a critical layer of nuance to analogue research,” says Rivera-Hernández. “By comparing our lab results to real Martian landforms, we can better reconstruct Mars’ past climate — leading to increasingly successful research in the future.”

Making Martian mud

In order to recreate past conditions on the red planet, the team conducted over 70 experiments in a Mars simulation chamber, testing how flowing water-sediment mixtures would be affected by the varying pressures and temperatures throughout the planet’s history.

Thompson, who specializes in understanding these types of mixtures, played a key role in interpreting the results. “As part of my Ph.D. work at Georgia Tech, I uncover how and why flow shapes evolve as pressure changes, which helped us understand how these flows could have shifted with changing pressures on Mars over time,” she says. “I’m thrilled to have contributed to the innovative flow experiments this study conducted.”

The experiments revealed that at higher atmospheric pressures, water and mud would have similar flow physics (rheology) as on Earth, indicating that some of the oldest sedimentary features on the surface should appear similar to Earth environments. In these scenarios, surface conditions may also have been more habitable for life.

On the other hand, as Mars started to lose most of its atmosphere, the dominant physics in sediment flow experiments changed to freezing and boiling. The team found that at the lower pressures Mars has experienced after the Noachian, the rheology and deposit shapes (morphology) were not at all Earth-like.

“When we mapped out where on Mars, we would expect this different behavior, we found that this opposite behavior could happen at the same time at different locations on the planet,” Adler shares. “The small-scale climate variations across Mars’ topography are enough to see these opposing effects.”

Decoding Mars' past

The research suggests that studying the specific shapes of features like sediment flows, debris flows and mudflows could help scientists better estimate climate conditions. It also highlights how laboratory experiments are a critical part of planetary science activities, as they can help scientists better interpret remote sensing and modeling results.

"By finding matching morphologies of what we see on Mars and what we see in these lab experiments, we might be able to better time-stamp the paleoclimate record,” Adler explains.

"We’ve sent rover missions to Mars largely because we find compelling remote sensing evidence of deposits formed by water or mud that could indicate a habitable environment,” he adds. “We are often eager to compare what we find to Earth analogs, but these are not always suitable for comparison. This study shows there is still much we can learn about Mars by conducting experiments under Mars conditions.”

Funding: NASA

DOI: https://doi.org/10.1038/s43247-025-02879-w 

“This fellowship with the Archive is a fantastic opportunity for me as a physicist. There is an incredible community of creatives that I get to be a part of and draw inspiration from,” he says. “It’s also very validating that an organization with as much prestige as the SJA finds value in the work we’re doing here in the lab. I’m so grateful that people believe in me and the work that we’re doing.”

Cachine is one of just eight individuals selected this year from a nationwide pool. The one-year fellowship supports work at the intersection of technology and the liberal arts, and will provide essential support for his creative trajectory, including a stipend, mentoring, and a robust community of peers.

At Georgia Tech, Cachine is the lab manager and lead experimentalist for the Matsumoto Group where he works alongside his advisor, School of Physics Associate Professor Elisabetta Matsumoto. 

“As a physicist who studies craft, I often see that this is an overlooked area of research, especially in women’s health,” Cachine says. “I hope that beyond building a pathway to improved patient outcomes, my work this year will show people that crafting traditions are incredible technological feats — they are entire knowledge systems waiting to be explored.  There is so much we can learn from craft.”

311 systems allow residents to report potholes, broken fire hydrants, and other municipal issues. In recent years, the use of artificial intelligence (AI) to provide 311 services to community residents has boomed across city and state governments. This includes an artificial virtual assistant (AVA) developed by third-party vendors for the City of Atlanta in 2023.

Through survey data, researchers from Tech’s School of Interactive Computing found that many residents are generally positive about 311 chatbots. In addition to eliminating long wait times over the phone, they also offer residents quick answers to permit applications, waste collection, and other frequently asked questions.

However, the study, which was conducted in Atlanta, indicates that 311 chatbots could be causing residents to feel isolated from public officials and less aware of what’s happening in their community.

Jieyu Zhou, a Ph.D. student in the School of IC, said it doesn’t have to be that way.

Uniting Communities

Zhou and her advisor, Assistant Professor Christopher MacLellan, published a paper at the 2025 ACM Designing Interactive Systems (DIS) Conference that focuses on improving public service chatbot design and amplifying their civic impact. They collaborated with Professor Carl DiSalvo, Associate Professor Lynn Dombrowski, and graduate students Rui Shen and Yue You.

Zhou said 311 chatbots have the potential to be agents that drive community organization and improve quality of life.

“Current chatbots risk isolating users in their own experience,” Zhou said. “In the 311 system, people tend to report their own individual issues but lose a sense of what is happening in their broader community. 

“People are very positive about these tools, but I think there’s an opportunity as we envision what civic chatbots could be. It’s important for us to emphasize that social element — engaging people within the community and connecting them with government representatives, community organizers, and other community members.”

Zhou and MacLellan said 311 chatbots can leave users wondering if others in their communities share their concerns.

“If people are at a town hall meeting, they can get a sense of whether the problems they are experiencing are shared by others,” Zhou said. “We can’t do that with a chatbot. It’s like an isolated room, and we’re trying to open the doors and the windows.”

Adding a Human Touch

In their paper, the researchers note that one of the biggest criticisms of 311 chatbots is they can’t replace interpersonal interaction.

Unlike chatbots, people working in local government offices are likely to:

• Have direct knowledge of issues
• Provide appropriate referrals
• Empathize with the resident’s concerns

MacLellan said residents are likely to grow frustrated with a chatbot when reporting issues that require this level of contextual knowledge.

One person in the researchers’ survey noted that the chatbot they used didn’t understand that their report was about a sidewalk issue, not a street issue.

“Explaining such a situation to a human representative is straightforward,” MacLellan said. “However, when the issue being raised does not fall within any of the categories the chatbot is built to address, it often misinterprets the query and offers information that isn’t helpful.”

The researchers offer some design suggestions that can help chatbots foster community engagement and improve community well-being:

• Escalation. Regarding the sidewalk report, the chatbot did not offer a way to escalate the query to a human who could resolve it. Zhou said that this is a feature that chatbots should have but often lack.
• Transparency. Chatbots could provide details about recent and frequently reported community issues. They should inform users early in the call process about known problems to help avoid an overload of user complaints.
• Education. Chatbots can keep users updated about what’s happening in their communities.
• Collective action. Chatbots can help communities organize and gather ideas to address challenges and solve problems.

“Government agencies may focus mainly on fixing individual issues,” Zhou said, “But recognizing community-level patterns can inspire collective creativity. For example, one participant suggested that if many people report a broken swing at a playground, it could spark an initiative to design a new playground together—going far beyond just fixing it.”

These are just a few examples of things, the researchers argue, that 311 services were originally designed to achieve.

“Communities were already collaborating on identifying and reporting issues,” Zhou said. “These chatbots should reflect the original intentions and collaboration practices of the communities they serve.

“Our research suggests we can increase the positive impact of civic chatbots by including social aspects within the design of the system, connecting people, and building a community view.”

Kristian Lockyear, a doctoral student in the Sustainable Systems Thermal Lab, received the Campbell Fellowship, which recognizes a Georgia Tech graduate student conducting outstanding research in renewable energy systems. Candidates are nominated by their advisors for exceptional academic achievement in the field.

Lockyear’s research, advised by Professor Srinivas Garimella in the George W. Woodruff School of Mechanical Engineering, centers on developing a biomass-powered adsorption cooling system to address food supply shortages in the cold chain and enable vaccine delivery to remote regions. He also holds a bachelor’s degree in chemical and biomolecular engineering from Georgia Tech and is committed to advancing sustainable cooling technologies that improve access in developing areas and promote global energy equity.

The Spark Award honors Georgia Tech graduate students who have demonstrated exceptional leadership in advancing student engagement with energy research, along with a strong record of service and broader impact. This year’s recipients are Daksh Adhikari, John Kim, Douglas Lars Nelson, Alex Magalhaes, Anna Raymaker, and Talia Thomas. “This year saw one of the largest pools of applications for the annual awards,” said Jordann Britt, SEI’s program coordinator, who led the selection process. “Awardees were thoughtfully chosen based on research excellence, a strong record of service, and projects demonstrating broader impact on advancing renewable energy. Through these scholarships, we hope to encourage and support students as they grow into future leaders in the energy industry.”

Daksh Adhikari is a second-year doctoral student in mechanical engineering working in the MiNDS Lab. His research focuses on increasing the adoption of two-phase thermal management techniques in artificial intelligence data centers to reduce water consumption. Adhikari is developing machine learning-based control systems to manage the unstable regions inherent in two-phase cooling processes. Outside of the lab, he enjoys playing guitar and exploring scientific topics related to space.

John Kim is a doctoral candidate in public policy, advised by Professor Daniel Matisoff. His research examines the distributional effects of environmental and energy infrastructure challenges, with a focus on grid resilience, public safety, and environmental justice. Kim’s broader research agenda includes analyzing inequities in power grid restoration, the economic impacts of EPA Superfund cleanups, and the socioeconomic drivers of electric vehicle adoption.

Douglas Lars Nelson is a fifth-year doctoral candidate at the School of Materials Science and Engineering, advised by Professor Matthew McDowell. His research uses advanced characterization techniques to quantify degradation in next-generation battery materials, contributing to the development of safer, high-energy batteries. Nelson earned his undergraduate degree in materials science and engineering from Clemson University.

Alex Magalhaes is a master’s student in computational science and engineering, advised by Professor Qi Tang. His research centers on developing scalable, high-fidelity numerical algorithms to simulate plasma confinement and equilibrium in nuclear fusion reactors. Magalhaes holds a bachelor’s degree in physics from Wesleyan University and previously worked as a data scientist at Quantiphi. He plans to pursue a doctorate in computational plasma physics. In his free time, he enjoys rock climbing, which he’s done at Yosemite and Grand Teton National Park.

Anna Raymaker is a doctoral student in the School of Electrical and Computer Engineering, advised by Professor Saman Zonouz. Her research focuses on securing critical infrastructure by identifying and mitigating cyber risks in systems, such as maritime networks and distributed energy resources. Raymaker leads a U.S. Department of Energy-aligned initiative to locate exposed solar inverters worldwide and assess their impact on operational power grids. She currently serves as president of the Graduate Student Association for the School of Cybersecurity and Privacy.

Talia Thomas is a doctoral candidate in mechanical engineering working in the McDowell Lab. Her research focuses on sustainable carbon materials for next-generation lithium- and sodium-ion batteries by using biomass precursors such as lignin and cellulose to develop high-performance anodes. Thomas also integrates life cycle and techno-economic assessments to evaluate scalability and environmental impact. She is an active leader in the graduate community, organizing initiatives that promote inclusion and student engagement. Before graduate school, she worked as a maintenance engineer at Dow and as a chemistry research associate at Zymergen.

Written by: Katie Strickland.

“We can assist at every stage of statistical analysis and for every School and major on campus,” says Kim.

She emphasizes that students and faculty don’t need a fully formed research design to seek help. In fact, Kim encourages early consultations — preferably before data collection.

“If you want a solid hypothesis and data plan, the best time to come is actually before you start collecting data,” she explains. “The goal is to make statistical support an integral part of the research process rather than a last-minute hurdle.”

Kim earned a Ph.D. in Quantitative Psychology from Georgia Tech in 2024. She proposed the idea for a Stats HelpDesk during the interview for her current position after witnessing people with great research ideas struggle to find accessible, customized statistical guidance.

“Many researchers — not just students but faculty as well — spend hours troubleshooting their data or interpreting output without knowing whether their approach is appropriate,” she says. “I want to bridge that gap.”

The service, which officially began in late September, is staffed solely by Kim. Despite its early phase, she has already supported faculty, graduate students, and undergraduates on projects ranging from senior theses to academic papers.

Liam Hart is a second-year Ph.D. student studying psychology. “I am still learning multilevel modeling but plan to use it for my thesis,” says Hart. “The Stats HelpDesk has been incredibly useful — helping me apply what I’m learning in class to my research — so that I can move forward with my research proposal.”

Consultations are by appointment only and should be set up through the Stats HelpDesk website. Remote and in-person meetings are available on Mondays from noon to 2 p.m. and on Tuesdays (remote only) from 1 – 2 p.m. Currently, the service is free, but a small charge may be added at a later date.

Looking ahead, Kim plans to expand the team to include specialists in areas such as Bayesian modeling, multilevel modeling, and item response theory.

“With more team members, we could allocate questions based on expertise,” she adds. “In the long term, we hope to grow into a collaborative resource that serves institutions beyond Georgia Tech.”

Effective July 1, 2023, the current SLS team will establish a new center, the Center for Sustainable Communities Research and Education (CSCRE), under the VPIR. The Brook Byers Institute for Sustainable Systems (BBISS), which is serving as a hub for coordinating Georgia Tech’s Sustainability Next Strategic Plan initiative, will serve as the administrative home for the new center.

CSCRE will collaborate with the sustainability cluster of the Interdisciplinary Research Institutes (IRIs), including BBISS, the Strategic Energy Institute (SEI), and the Renewable Bioproducts Institute (RBI), as well as Infrastructure and Sustainability, another key Sustainability Next hub, to enhance Georgia Tech’s competitiveness in applying for grants that require meaningful community partnerships as a key component of their research and education plans. It will also continue to support sustainable communities education, in close collaboration with the Center for Teaching and Learning (CTL), OUE, and Education and Learning, to assure the continuity of SLS’s signature programs.

Established as Georgia Tech’s last QEP, Serve-Learn-Sustain launched in 2016 as a unit in OUE and concluded its official QEP work in 2021. Georgia Tech earned a commendation from the Southern Association of Colleges and Schools Commission on Colleges in 2021 for the “exceptional execution” of the 2016 QEP, citing, among other things, that the program “inspired a closer dialogue among faculty regarding research and instructional practices, and thus serves as a model of how a QEP can transform an academic culture.”

To continue advancing and scaling undergraduate service learning and community engagement as a high-impact practice, OUE will establish a new service learning team, as a priority that supports the Transformative Teaching and Learning ISP initiative. Institutionalizing the service-learning functions of SLS within OUE and aligning it with other high impact practices - such as undergraduate research, student innovation programs, first-year seminars, co-op and internships, and learning communities - will position these programs to work collectively in support of the development of Georgia Tech’s next QEP, which will begin in 2025.

Thank you to the SLS staff and to everyone who has collaborated with and supported the work that SLS has spearheaded to make Georgia Tech a better place for our students, our faculty and staff, and our surrounding communities. We look forward to continuing to advance this work, together.

School of Electrical and Computer Engineering (ECE) Ph.D. students Gus Richter, Malhar Tamhane, and Felipe Sandoval are the latest to make the trip to the “Last Frontier” as they work to push the boundaries of atmospheric research. The trio participated in the 2025 Polar Aeronomy and Radio Science (PARS) summer school program held in August at the University of Alaska Fairbanks and the High-frequency Active Auroral Research Program (HAARP).

Read the full story on the School of Electrical and Computer Engineering's website.

The course, BIOS 4590, is a research project lab for senior biology majors that provides an opportunity for professors to share their expertise with students in a hands-on environment. In his class, Associate Professor Vinayak (Vinny) Agarwal, who holds joint appointments in the School of Chemistry and Biochemistry and School of Biological Sciences, aimed to introduce undergraduates to advanced bioinformatics tools through applied research using new-to-science raw data. 

The resulting paper, “Phylogenomic Identification of a Highly Conserved Copper-Binding RiPP Biosynthetic Gene Cluster in Marine Microbulbifer Bacteria,” which was recently published in ACS Chemical Biology, involves the historically understudied genus of Microbulbifer, a type of bacteria often associated with sponges and corals. These microbial communities are rich sources of natural products, small biological molecules often associated with medicine and drug discovery. 

"This class, and the resulting research, is a testament to the transformative power of hands-on learning,” says Susan Lozier, dean of the College of Sciences, Betsy Middleton and John Clark Sutherland Chair, and professor in the School of Earth and Atmospheric Sciences. “The success of this course — and the students’ remarkable achievement — reflects Georgia Tech's commitment to fostering curiosity, collaboration, and scientific rigor and to empowering the next generation of scientists and leaders."

Funded by Agarwal’s 2023 National Science Foundation CAREER grant and Camille and Henry Dreyfus Foundation Teacher-Scholar award, the class also received support from leadership in the College of Sciences, School of Biological Sciences, and School Chemistry and Biochemistry. The study’s lead author, graduate student Yifan (Grace) Tang, served as the class teaching assistant, and was funded in part by a Biochemistry and Biophysics Graduate Assistance in Areas of National Need fellowship. 

“The students in this class are working on important, novel work — this cohort worked with real genomic data that had never been sequenced before,” she says. “Typically, researchers might work with one or two genome sequences, but we provided students with 42 — this might be the first time anyone has looked at Microbulbifer at such a wide scope.” 

From classroom to publication

To prepare for the class, Tang worked alongside Laboratory Manager Alison Onstine, who manages the School of Biological Sciences teaching laboratory spaces, to sequence the Key West bacterial genomes.

“Our work in the Agarwal Lab is in natural product discovery. We focus on finding new pharmaceutical drugs through marine bacteria — but with a bioinformatics spin,” Tang explains. “We wanted to bring this type of experience to undergraduates, so we gave fully sequenced genomes to students and asked them to look for potential properties.” 

Throughout the class, students learned different techniques for analyzing bacterial genome sequences and extracting data with various tools — gaining both lab and computational skills through hands-on experiences, live demos, and troubleshooting sessions. 

“The highlight was showing students just how much we can learn about a bacterial genus, especially one that hasn’t been studied at this scale before,” Tang shares. “This is a growing field, so there are so many opportunities for students to make meaningful contributions while learning new skills.”

Empowering future students

For many students, it was their first time using these types of tools, but Agarwal says that it’s something they'll likely encounter in both industry and research. He sees this type of research experience as especially helpful for seniors, who are often deciding between entering the workforce or continuing their education.

“Bioinformatics is increasingly important for analyzing big data. Students need the ability to manipulate and understand data using computational tools, and this class plays an important role in familiarizing them with this process,” he shares. “Our goal is to demystify research and give students the confidence and tools for both graduate school and for the workforce after graduation.”

The class will be offered for a third time in Fall 2026. While the exact course of research hasn’t yet been decided, “we always aim for something new that can produce publication-quality research — students don’t repeat past year’s work,” Agarwal says. This recent cohort of students built on the success of 18 undergraduates who took the class in 2023, who also published a paper. “This course truly underscores Georgia Tech’s commitment to pioneering meaningful undergraduate experiences — no other peer institution I know of is exposing undergraduates to bioinformatics at this level.”

Funding: NSF CAREER and the Dreyfus Foundation

The Strategic Energy Institute and the Energy Policy and Innovation Center at Georgia Tech are pleased to announce that applications are now open for two graduate student fellowships this fall.  

Wang, who is a Ph.D. student in the School of Mathematics and a master’s student in the Daniel Guggenheim School of Aerospace Engineering, will focus on developing mathematically-backed landing solutions for spacecraft. 

“I first became interested in powered descent problems during my Fall 2024 internship with NASA’s Human Landing System at Marshall Space Flight Center,” he says. “With my mathematical background in optimization and topology, and my passion for space exploration, I saw this research topic as a perfect fit when my co-advisor Dr. Panagiotis Tsiotras suggested it.”

Wang is co-advised by School of Mathematics Professor and Hubbard Research Fellow John Etnyre alongside Panagiotis Tsiotras, who holds the David and Andrew Lewis Endowed Chair in the Daniel Guggenheim School of Aerospace Engineering and is also associate director at the Institute for Robotics and Intelligent Machines.

In addition to his Georgia Tech advisors, Wang will collaborate with a NASA Subject Matter Expert, who will connect him with the larger technical community. He will perform part of the research as a visiting technologist at multiple NASA centers, giving him the opportunity to work with leading engineers and scientists and share his research results directly with the NASA community.

From abstractions to space exploration

“NASA’s upcoming missions to the Moon, Mars, and beyond need technology that allows spacecraft to land precisely at their intended sites,” says Wang. “My research will focus on the last stage of landing, called powered descent. This stage powers up engines, which guide the spacecraft into a safe landing using a pre-designed trajectory that autopilot follows.”

This means that researchers need to figure out the correct thrust, direction, and timing to reach a landing spot — all while navigating a landing that uses as little fuel as possible.

“A common approach is to treat this as an optimization problem: minimizing fuel consumption with rigid-body physics as constraints to determine the best thrust profile,” Wang explains. “This can work well, but it has drawbacks. It assumes that there is no uncertainty in the system (for example, that the thrust of the engines is applied perfectly) and it simplifies the motion of the spacecraft by treating it as though it’s traveling through flat space instead of on a true curved geometry. Both shortcuts introduce errors  — our research aims to address these gaps.”

To improve landing precision, Wang will develop a curved-space geometric mathematical model, which takes into account the curved-space geometry of spacecraft motion rather than assuming flat space. To find a fuel-efficient landing trajectory, Wang will develop the model around optimal covariance steering, a stochastic control problem that both minimizes fuel costs while keeping the uncertainty of the spacecraft's exact landing spot within a safe amount.

It’s a problem that leverages his experience in theoretical math and his background in aerospace engineering. “I’m incredibly honored that NASA finds this research exciting and is supporting my pursuit of it,” he says. “There are so many fascinating engineering problems that could benefit from deeper theoretical scrutiny, especially using abstract machineries not typically covered in an engineering curriculum. I hope this inspires more theoretical researchers and graduate students to explore bridging these gaps.”

The  Sustainable Communities Summer Internship Program in the Center for Sustainable Communities Research and Education (SCoRE) taps students from across the Institute, who gain real-world experience in both sustainability and community engagement, while participating partners scale their operations and deepen their relationship with Georgia Tech.

“It is a nontraditional internship, but it is so effective,” says Kristina Chatfield, director of business administration for the Brook Byers Institute for Sustainable Systems (BBISS), who manages the operational components of the program.

Impact on Atlanta’s Sustainability Community

Now in its eighth summer, the program has placed more than 200 students with over 60 Atlanta community organizations. Many return year after year, like WunderGrubs, an Atlanta-based insect farm that wants to bring a sustainable, nutritious form of protein to communities.

“I can’t overstate the value that Georgia Tech students bring to our company every summer through the SCoRE internship program,” says CEO and co-founder Akissi Stokes-Nelson, explaining that WunderGrubs’ mission is rooted in food equity and social impact. “We’re constantly innovating to support smallholder farmers, develop educational programs, and expand our reach both locally and globally. The SCoRE interns have been instrumental in helping us realize this vision.”

Stokes-Nelson says they add immediate capacity to WunderGrubs’ small team, bringing fresh perspectives and technical expertise — whether it’s developing new curricula for STEAM summer camps, introducing technology like Internet of Things (IoT) sensors and Arduino controllers, or helping the company build and scale its modular “grub shed” farming systems. She credits them with enabling her to reframe her business, pilot new programs, and even expand internationally, citing a recent partnership in Rwanda.

“What sets the Georgia Tech interns apart is their maturity, technical skill, and genuine passion for social impact. They’re not just here to learn — they’re here to contribute, innovate, and help us grow,” she says.

“The program is unique in its focus on both student development and organizational impact, particularly for underrepresented and first-generation students,” says Ruthie Yow, associate director of SCoRE, who leads partner engagement and student learning.

Georgia Tech covers all costs, including stipends for the full 12 weeks. Students take part in a seminar one evening a week to learn about grassroots sustainability innovation. They can also earn an internship course credit.

Connecting With Students in STEM

Intern Ridoine Idrissou, a computer science undergraduate at Tech, supported WunderGrubs’ “Tech Avengers” STEM summer camp. “We taught kids about cybersecurity, IoT, how to be safe online, and they learned about mealworms. They got rid of almost one ton of trash,” recalls Idrissou, who also developed IoT kits for the company’s farm sheds. “It’s not all about coding,” adds the Togo, West Africa, native. “It’s about connecting to the environment. It’s given me a whole different type of experience than I normally have as a computer science major.”

Idrissou, who has spent his last three summers interning, credits the program with giving him a chance when nobody else would. “My internship experience makes me appreciate the field I’m in, and it gives me a good idea of how to be mindful, when building software or other products, of the well-being of other people.” He plans to pursue a career in cybersecurity and system administration after he graduates next spring.

This positive internship experience isn’t the only one. Another organization benefiting from Georgia Tech’s talented students is the Lifecycle Building Center (LBC) in Atlanta.

Shannon Goodman, a Georgia Tech architecture program alumna, serves as executive director of the LBC. She considers her interns foundational to her nonprofit, which reduces waste in the built environment by salvaging materials like lumber, cabinets, flooring, and appliances, and making them available to the community, nonprofits, and for reuse in new projects. The organization runs a 70,000 square-foot warehouse and provides free materials and services to nonprofits across Atlanta.

“Our interns have been the connective tissue that helps all the different resource-constrained CEOs and community-based organizations build strong, trusted relationships with each other and lay the groundwork for our training program,” Goodman says.

Assessing the Lifecycle of Salvaged Building Materials

Morgan Hale interned at LBC while completing her graduate degree in sustainable energy and environmental management. “This internship program bridges sustainability with all the academic pathways at Georgia Tech. It does a great job of engaging students and educating them on ways to take what they're learning from school and map that into a career in sustainability,” says Hale, whose capstone project focused on the lifecycle assessment of salvaged building materials. “This internship perfectly aligned with my academic and career interests in sustainability and policy,” she adds. “And the extra workshops and networking opportunities are invaluable.”

For Goodman, education remains a key part of her team’s role. “Our job at the end of the day is helping people understand all the different types of opportunities that get lost when we just throw materials away. I don't know how we would do it without our interns. Through her capstone project, Morgan developed tools and procedures for calculating the embodied carbon and GHG emissions of the materials we salvage to create Environmental Product Declarations, or EPDs, for reclaimed materials, which don’t currently exist in the U.S. EPDs allow us to prove exactly how much better salvaged materials perform compared to new products, and will enable the material reuse industry to scale in the U.S. at a rate never seen before.”

LBC’s connection to Georgia Tech doesn’t stop with the internship program, however. “We have had countless professors from different departments of Georgia Tech bring their students here to learn about what we do, engage with us, and get materials from us,” says Goodman, noting that back in 2022, Georgia Tech was instrumental in helping her assemble community organizations like the West Atlanta Watershed Alliance and many others to form the ReBuildATL Coalition. Today, the coalition includes more than 40 nonprofits, academic institutions, industry partners, and local government agencies that empower Westside Atlanta neighborhoods.

Learn More

The Sustainable Communities Summer Internship Program is a partnership between SCoRE and the Office of Community-Based Learning. It is co-sponsored by the Brook Byers Institute for Sustainable Systems, the Strategic Energy Institute, the Renewable Bioproducts Institute, the Office of Commercialization, and the Sustainability Next initiative.

To learn more about the program, including how to contribute financially to the program or to become a participating partner, visit https://scre.research.gatech.edu/sustainable-communities-summer-internship-program.

By Anne Wainscott-Sargent

Matsumoto, who is also a principal investigator at the International Institute for Sustainability with Knotted Chiral Meta Matter (WPI-SKCM2) at Hiroshima University, is the corresponding author on a new study exploring the physics of ‘jamming’ — a phenomenon when soft or stretchy materials become rigid under low stress but soften under higher tension.

The study, "Pulling Apart the Mechanisms That Lead to Jammed Knitted Fabrics," was published this week in Physical Review E, and also includes Georgia Tech Matsumoto Group graduate students Sarah Gonzalez and Alexander Cachine in addition to former postdoctoral fellow Michael Dimitriyev, who is now an assistant professor at Texas A&M University.

The work builds on the group’s previous research demonstrating that knitted materials can be mathematically ‘programmed’ to behave in predictable ways. “These properties are intuitively understood by people who knit by hand,” Matsumoto says, “but in order to manipulate and use these behaviors in an industrial setting, we need to understand the physics behind them. This new research is another step in that direction.”

An Unexpected Twist

Gonzalez, who led the research, first became interested in jamming while conducting adjacent research. “I was using model simulations to characterize how different yarn properties affect the behavior of knitted fabrics and noticed a strange stiff region,” she recalls. “In our previous research, we had also seen this behavior in lab experiments, which suggested that what we were seeing in the simulations was a genuine phenomenon. I wanted to investigate it further.”

After digging into the topic, she realized that what she was seeing was called ‘jamming.’ In knits, Gonzalez explains, jamming occurs when stitches are packed tightly together, and the fabric resists stretching. Although it’s a well-known phenomenon, the physics has mostly been investigated in granular systems, like snow or sand, rather than fabrics.

“In fabrics, when you pull softly, the response is surprisingly stiff, but when you start pulling harder and harder, the stitches rearrange, and the material softens,” Matsumoto says. “In granular systems, this is a little like how avalanches work. At low forces, the snow pack is solid, but when the slope is steep, the force of gravity liquidizes that snow pack into an avalanche.”

“In fabrics, it is a little like having a tangle in a piece of jewelry,” she adds. “If you pull on it, it gets quite stiff, but if you loosen the knot, the chain can reconfigure, and it's not so stiff.”

Unraveling the Physics of Jamming

Using a combination of experiments with industrially knitted fabrics and computer models, the team analyzed what causes jamming in fabrics and how to control it. “We wanted to determine how different yarn properties impacted jamming,” Gonzalez explains. “Our goal was to understand the mechanics of jamming through how yarn interacts at various touchpoints in stitches.”

The team found that both machine tension and yarn thickness played a key role in making a fabric more or less jammed, and that jamming behaves differently depending on which direction the fabric is stretched.

“When you stretch a knit along the rows, the stiffness of the yarn causes fabric jamming. Jamming in the other direction is due to yarn contacts,” says Gonzalez. “We also showed that the impacts of changing machine tension and yarn thickness differ depending on fabric direction.” 

“Discovering that fabric jamming works differently in different directions was a key insight,” she adds. “To our knowledge, the physics of this has never been explored before.”

Modern Innovation — With a Centuries-Old Technique

The research dovetails with Matsumoto’s WPI-SKCM2 Center work, which involves investigating fundamental aspects of knots and chirality. The Center is interested in a class of materials called “knotted chiral meta matter” that could lead to more sustainable materials.

For example, knitting — which leverages chiral knots — could be used to create more elastic fabrics from natural materials. “In many cases, manufacturers use yarns that combine, for example, polyester, cotton, and elastane to create a desired elasticity,” Matsumoto says. “Our research suggests that manipulating the topology of the stitches could lead to a similar elasticity, reducing the need for petroleum-based fibers and creating a more sustainable textile.”

“Knitting has the potential to be extremely useful in manufacturing, but knowledge has typically been shared through intuition and word of mouth,” she adds. “By creating these mathematical models, we hope to formalize that knowledge in a way that’s accessible for large-scale manufacturing — so we can leverage this centuries-old intuition for modern innovation.”

Funding: This work was supported by the World Premier International Research Center Initiative (WPI), Ministry of Education, Culture, Sports, Science and Technology of Japan; National Science Foundation (NSF); and Research Corporation for Science Advancement (RCSA).

DOI: https://doi.org/10.1103/g94g-c6tt 

Finding Rhythm in Computer Science

Quintana started her career in the arts and holds two degrees in musical performance; however, during the COVID-19 pandemic, she decided to switch to computer science. 

“I found myself increasingly drawn to computational problem-solving, which led me to pursue the Online Master of Science Computer Science (OMSCS) program with a focus on machine learning,” said Quintana. 

She sees a strong connection between her classical music training and the way she approaches computer science.

“When I learn a new piece of music, I break it down into manageable parts and iteratively improve on difficult sections,” said Quintana. “That process mirrors how I debug code or work through complex computational problems.” 

A Virtual Lab with Real-World Impact

After completing a research internship analyzing earthquake data, Quintana was inspired to make a real-world impact.  

Through that internship, I encountered researchers using computation to tackle biological and scientific problems,” said Quintana. “I realized I wanted to work at the intersection of computer science and life sciences.

That realization led her to the Human Augmented Analytics Group (HAAG). Founded by Ph.D. student Breanna Shi, HAAG is a virtual research lab that connects online students with in-person research projects. 

Quintana is conducting her virtual research project in the Stroud Lab under the guidance of James Stroud, assistant professor in the School of Biological Sciences. 

Cracking the Code of 2,000 Lizards

The Stroud Lab uses lizards to explore how evolutionary processes may underlie broader patterns of biological diversity. 

“It’s a surprisingly large-scale effort. The lab needs to catch and x-ray about 2,000 lizards a year,” said Quintana. “We mark anatomical landmarks on the x-rays. These markers are used to analyze variations across species to study evolutionary patterns.”

Currently, the process is entirely manual. The goal is to automate it to improve both accuracy and efficiency in biological research. 

This kind of automation can transform biological research,” said Quintana. “It saves researchers time, increases accuracy, and frees up bandwidth for deeper analysis. It also lays the groundwork for similar tools to be used in other species, which could advance our understanding of biodiversity and evolution.

Efficiency by Design

Quintana hopes that her work will help ease the burden on field biologists.

“I was surprised by the sheer amount of physical effort that goes into collecting biological data,” said Quintana. “It gave me a much deeper appreciation for how much precision and labor goes into building the datasets I use.” 

Automating this process will save the lab months of work. 

“Automating tedious tasks can really speed up discovery,” said Quintana. “After completing this program, I hope to continue developing technology that supports and empowers researchers in their work.” 

In tandem with the automation work, Quintana is developing a user-friendly interface that will allow biologists without coding backgrounds to use it, an important step for the tool’s long-term adoption. 

Design Thinking in the Real World

For Quintana, the experience revealed how fulfilling it is not only to build useful tools, but also to communicate their impact to others. She especially enjoyed collaborating across disciplines to refine those tools based on real-world feedback. 

“This process of interdisciplinary collaboration and iterative design has shown me how powerful well-designed technology can be when it’s informed by the people who will actually use it.” 

As a musician, student, and researcher, the experience has sharpened Quintana’s problem-solving skills. 

“When I’m learning a new piece as a musician, I break it down like a computer scientist would,” said Quintana. “I isolate the tough measures, make them easier, refine them, and integrate them back into the full piece. It’s a structured, almost algorithmic approach, and it reminds me of techniques like boosting in machine learning.” 

Making Her Mark Virtually

Her work hasn’t gone unnoticed by those around her. 

“Mercedes has proven herself an invaluable asset with her work in conservation technology and human-centered interfaces,” said Shi. “As the founder of HAAG, I’m thrilled to champion Mercedes as a brilliant researcher not only advancing her own project but actively elevating the entire HAAG community. I look forward to seeing what she accomplishes next.” 

A New Chapter Begins

Quintana’s career change is a testament to the power of interdisciplinary research and the unexpected ways curiosity, creativity, and technical skills can intersect. 

On June 25, Quintana presented her work with WildLabs Community at their monthly variety hour. She is currently preparing for her first publication submission by the end of 2025. 

Georgia Tech roboticists are attempting to identify the most stressful periods that human teleoperators experience while performing tasks remotely. A novel study provides new insights into determining when a teleoperator needs to operate at a high level of focus and which parts of the task can be delegated to robot automation.

School of Interactive Computing Associate Professor Matthew Gombolay calls it the “sweet spot” of human ingenuity and robotic precision. Gombolay and students from his CORE Robotics Labconducted a novel study that measures stress and workload on human teleoperators.

Gombolay said it can inform military officials on how to strategically implement task automation and maximize human teleoperator performance.

Humans continue to hand over more tasks to robots to perform, but Gombolay said that some functions will still require human input and oversight for the foreseeable future.

Specific applications, such as space exploration, commercial and military aviation, disaster relief, and search and rescue, pose substantial safety concerns. Astronauts stationed on the International Space Station, for example, manually control robots that bring in supplies, move cargo, and make structural repairs.

“It’s brutal from a psychological perspective,” Gombolay said.

The question often asked about automating a task in these fields is, at what point can a robot be trusted more than a human?

A recent paper by Gombolay and his current and former students — Sam Yi Ting, Erin Hedlund-Botti, and Manisha Natarajan — sheds new light on the debate. The paper was published in the IEEE Robotics and Automation Letters and will be presented at the International Conference on Robotics and Automation in Atlanta.

The NASA-funded study can identify which aspects of tedious, time-consuming tasks can be automated and which require human supervision. If roboticists can pinpoint the elements of a task that cause the least stress, they can automate these components and enable humans to oversee the more challenging aspects.

“If we’re talking about repetitive tasks, robots do better with that, so if you can automate it, you should,” said Ting, a former grad student and lead author of the paper. “I don’t think humans enjoy doing repetitive tasks. We can move toward a better future with automation.”

Military officials, for example, could measure the stress of remote drone pilots and know which times during a pilot’s shift require the highest level of attention.

“We can get a sense of how stressed you are and create models of how divided your attention is and the performance rate of the tasks you’re doing,” Gombolay said.

“It can be a low-stress or high-stress situation depending on the stakes and what’s going on with you personally. Are you well-caffeinated? Well-rested? Is there stress from home you’re bringing with you to the workplace? The goal is to predict how good your task performance will be. If it indicates it might be poor, we may need to outsource work to other people or create a safe space for the operator to destress.”

The Stress Test

For their study, the researchers cut a small river-shaped path into a medium-density fiberboard. The exercise required the 24 participants to use a remote robotic arm to navigate through the path from one end to the other without touching the edges.

The experiment grew more challenging as new stress conditions and workload requirements were introduced. The changing conditions required the test participants to multitask to complete the assignment.

Gombolay said the study supports the Yerkes-Dodson Law, which states that moderate levels of stress increase human performance.

The experiment showed that operators felt overwhelmed and performed poorly when multitasking was introduced. Too much stress led to poor performance, but a moderate amount of stress induced more engagement and enhanced teleoperator focus. 

Ting said finding that ideal stress zone can lead to a higher performance rating. 

“You would think the more stressed you are, the more your performance decreases,” Ting said. “Most people didn’t react that way. As stress increased, performance increased, but when you increased workload and gave them more to do, that’s when you started seeing deteriorating performance.”

Gombolay said no stress can be just as detrimental as too much stress. Performing a task without stress tends to cause teleoperators to become disinterested, especially if it is repetitive and time-consuming.

“No stress led to complacency,” Gombolay said. “They weren’t as engaged in completing the task.

“If your excitement is too low, you get so bored you can’t muster the cognitive energy to reason about robot operation problems.”

The Human Factor

Roboticists have made significant leaps in recent years to remove teleoperators from the equation. Still, Gombolay said it’s too early to tell whether robots can be trusted with any task that a human can perform.

“We’re a long way from full autonomy,” he said. “There’s a lot that robots still can’t do without a human operator. Search and rescue operations, if a building collapses, we don’t have much training data for robots to go through rubble by themselves to rescue people. There are ethical needs for humans to be able to supervise or take direct control of robots.”

Launched in 2016, the project was supported by the Institute’s Sustainable Communities Summer Internship Program, run by the Center for Serve-Learn-Sustain (now the Center for Sustainable Communities Research and Education), in which students work full time with community partners across Atlanta and Georgia.

Beginning in 2017, trusted advisers contributed to the success of this work, including Vernon E. Jordan Jr., Christopher Lawton, Ann McCleary and G. Wayne Clough. Clough, who served as Georgia Tech’s president from 1994 to 2008, long advocated for public service, community-engaged research, and interdisciplinary teaching and learning.

In 2019, Georgia Tech students and participating interns Brice Minix and Nabil Patel combed through decades of local newspapers, digitized school board records, and conducted interviews with community members who lived in Coffee County during desegregation. In 2020, Kara Vaughan Adams and Bennett Bush transcribed countless interviews. Samina Patel’s contributions in 2020 and 2021 included graphic and web design.

All their work laid the foundation for two virtual museum exhibits: emergingVOICES of Coffee County and Overcoming Segregation: A Journey Through Coffee County’s Forgotten Stories. The latter received the 2023 Award of Excellence from the American Association of State and Local History. Further recognition came this year when the project earned the 2025 Georgia Association of Museums’ Special Project Award for the PLAYBACK & FASTFORWARD seminar series.

T. Cat Ford, Project Director said, “The Serve-Learn-Sustain interns we partnered with from Georgia Tech were all graduates of Coffee High School. Their efforts turbo-charged our work—not only because they worked tirelessly but also because, as they preserved their own history, they offered valuable insights into their lived experience of this legacy.

Click here to learn more about SCoRE’s Sustainable Communities Internship Program.

This summer, 103 students are working on 51 projects across 27 communities in Georgia, Alabama, Virginia, and Texas. Selected from nearly 700 applicants — a 73% increase over last year — these students are tackling real-world challenges ranging from AI applications in North Georgia to Native American initiatives in Whigham, Georgia, and Bracketville, Texas.

By pairing students from different years, majors and institutions, the PSI program gives the next generation of innovators hands-on experience addressing complex challenges while delivering practical solutions to communities across the region.

A collaboration with the Southeast Crescent Regional Commission (SCRC) has funded 17 projects in several counties in Middle and South Georgia and is a large part of the program’s expansion this year. The opportunity to make an impact across a broad swath of Georgia is part of why the SCRC was interested in working with PIN, said SCRC Executive Director Christopher McKinney.

Read Full Story on EI2 Newspage

The study, “TopoNets: High-Performing Vision and Language Models With Brain-Like Topography,” was awarded a spotlight at this year’s International Conference on Learning Representations (ICLR), a distinction given to only 2 percent of papers. The research was led by graduate student Mayukh Deb alongside School of Psychology Assistant Professor Apurva Ratan Murty.

Thirty-two of Tech’s computing, engineering, and science faculty represented the Institute at ICLR 2025, which is globally renowned for sharing cutting-edge research. 

“We started with this idea because we saw that AI models are unstructured, while brains are exquisitely organized,” says first-author Deb. “Our models with internal structure showed more than a 20 percent boost in efficiency with almost no performance losses. And this is out-of-the-box — it’s broadly applicable to other models with no extra fine-tuning needed.”

For Murty, the research also underscores the importance of a rapidly growing field of research at the intersection of neuroscience and AI. “There's a major explosion in understanding intelligence right now,” he says. “The neuro-AI approach is exciting because it helps emulate human intelligence in machines, making AI more interpretable.”

“In addition to advancing AI, this type of research also benefits neuroscience because it informs a fundamental question: Why is our brain organized the way it is?,” Deb adds. “Making AI more interpretable helps everyone.”

Brain-inspired blueprints

In the brain, neurons form topographic maps: neurons used for comparable tasks are closer together. The researchers applied this concept to AI by organizing how internal components (like artificial neurons) connect and process information. 

This type of organization has been tried in the past but has been challenging, Murty says. “Historically, rules constraining how the AI could structure itself often resulted in lower-performing models. We realized that for this type of biophysical constraint, you simply can’t map everything — you need an algorithmic solution.”

“Our key insight was an algorithmic trick that gives the same structure as brains without enforcing things that models don't respond well to,” he adds. “That breakthrough was what Mayukh (Deb) worked on.” 

The algorithm, called TopoLoss, uses a loss function to encourage brain-like organization in artificial neural networks, and it is compatible with many AI systems capable of understanding language and images. 

“The resulting training method, TopoNets, is very flexible and broadly applicable,” Murty says. “You can apply it to contemporary models very easily, which is a critical advancement when compared to previous methods.” 

Neuro-AI innovations

Murty and Deb plan to continue refining and designing brain-inspired AI systems. “All parts of the brain have some organization — we want to expand into other domains,” Deb says. “On the neuroscience side of things, we want to discover new kinds of organization in brains using these topographic systems.”

Deb also cites possibilities in robotics, especially in situations like space exploration where resources are limited. “Imagine running a model inside a robot with limited power,” he says. “Structured models can help us achieve 80 percent of performance with just 20 percent of energy consumption, saving valuable energy and space. This is still experimental, but it's the direction we are interested in exploring.”

“This success highlights the potential of a new approach, designing systems that benefit both neuroscience and AI — and beyond,” Murty adds. “We can learn so much from the human brain, and this project shows that brain-inspired systems can help current AI be better. We hope our work stimulates this conversation.”

Armed with a desire to do good in the world, and growing expertise in their current studies at the colleges of Business, Computing, Engineering, and Industrial and Systems Engineering, the students discovered how powerful interdisciplinary collaboration and cutting-edge technology can be in creating social change.

The Law, Data, and Design Lab is the brainchild of Alexander, who from a young age felt a call to serve her community. “I went to law school because I saw law as a tool to look beyond myself and contribute to the greater good,” said Alexander. “I see this as part of my purpose. Being at a public university, I take seriously the responsibility to ensure my research is outward facing, that it reaches beyond academia and helps make the world a better place.”

Read More

Some might regard such restrictions as too limiting to their creativity or design goals. Viewed another way, this approach opens up a unique set of possibilities. Biologically Inspired and Green Design (BIG-D) is a field of study (sometimes referred to by different names, like “biomimicry”) that has demonstrated a lot of promise in the past few decades. This approach aims to translate the billions of years of knowledge and design wisdom embodied in our biological world into innovative green products. However, no matter how green the design of a product, they are often manufactured with traditional processes with limited consideration for energy, toxicity, water, or material use. Having a lab like EcoMake will help to usher in the field of study of Biologically Inspired and Green Manufacturing (BIG-M). BIG-M will require knowledge, equipment, and resources that are much different than traditional fabrication methods. Like natural systems, this new facility will operate within the means of nature, using no more energy or water than can be generated from its geometric footprint, and producing no more waste than it can assimilate on site.

EcoMake has the following tools and equipment (so far):

• 8 - Prusa I3S+ 3-D Printers
• 5 - Ender 3 Pro 3-D Printers
• EinScan-SP 3-D Object Scanner
• Mark-10 ESM303 Mechanical Tester
• 300-X Digital Microscope
• 3Devo Filament Extruder
• Shini SG-16N Plastic Granulator
• Plastic Chip Dryer
• Singer Heavy Duty 4423 Sewing Machine
• Complement of Standard Fabric Crafting Equipment

EcoMake, the bio-inspired maker space will be open to students from all disciplines. It is supported by the Colleges of Design, Engineering, and Biology, and the Brook Byers Institute for Sustainable Systems. Contact Michael Gamble for more information.

The scholarship is tied to the group’s top prize for professional scientists and engineers and intended to create a mentoring relationship between the two honorees.

“I am honored to have been selected to receive this award,” Broesicke said, noting he’s been involved in the organization since he was an undergraduate at the University of Texas at El Paso. He said he looks forward to extending his role and encouraging Latino graduate students.

“I am dedicated to expanding STEM through minorities and excited to be helping [our group] promote graduate education for minorities.”

The Padrino Scholarship is named for the Spanish word for “godfather,” Broesicke said, because of the special relationship between the student and professional winners.

“This pairing of Madrina/Padrino (Godmother/Godfather) - Ahijada/Ahijado (Goddaughter/Godson) is a mentoring relationship of the Hispanic culture,” he said. “This allows the establishment of a lifelong mentor relationship in which the [professional] provides guidance and serves as a role model for the young engineer or scientist.”

Broesicke’s scholarship also comes with the group’s Medalla de Plata, or “silver medal.” MAES — the acronym comes from the group's original name that's no longer in use — introduced the medal this year to echo the professional prize, the Medalla de Oro, or “gold medal.”

Winning the silver medal and scholarship means the organization expects big things from Broesicke, including that he’ll one day take his place as a Medalla de Oro winner.

Entering his second year of studies with John Crittenden at the Brook Byers Institute for Sustainable Systems, Broesicke focuses on the nexus of food, energy and water, investigating the role commercial urban farms have in addressing the food needs of future generations.

Sustainable-X is supported by Sustainability Next, the implementation roadmap for sustainability goals within Georgia Tech’s Strategic Plan 2020-2030. The new program launches in tandem with a climate action plan, a living learning campus initiative, seed funding for teaching through the lens of the UN Sustainable Development Goals, and more.

CREATE-X and the Ray C. Anderson Center for Sustainable Business (“Center”) are partnering on Sustainable-X programming. Organizers include Scheller College of Business faculty and staff: co-directors Andre Calmon and Karthik Ramachandran (Dunn Family Professor), advisor Beril Toktay (Brady Family Chair and Regents’ Professor), and program manager Kjersti Lukens (program support coordinator for the Center).

The program kicked off with the Social and Environmental Entrepreneurs Bootcamp, held at the Kendeda Building for Innovative Sustainable Design from November 5-6, 2022. Twenty participants from Georgia Tech and the community learned how to tackle complex sustainability problems and create startup solutions. The bootcamp was facilitated by Jackie Stenson, an expert in sustainable innovation and co-founder of multiple social enterprises. Participants progressed through problem framing and ideation exercises to design solutions inspired by the UN Sustainable Development Goals.

The participants shared their projects in a pitch session, where judges and peers listened to an array of business solutions related to STEM education in under-resourced communities, meal preparation kits to help reduce food waste, water management for golf courses, and infrastructure and innovation to accelerate the transition to renewable energy. First prize was awarded to the group that focused on water management. Team members included Isha Dogra (environmental engineering graduate student at Georgia Tech), Emma Vail (student at University of North Georgia), and Michelle Wong (assistant director of the Petit Institute at Georgia Tech ).

Tanju Özdemir, a first-year materials science and engineering major who is also serving as a 2022-23 Scheller College Undergraduate Sustainability Ambassador, remarked, “I signed up for the bootcamp because it felt relevant to my future career goal of being an entrepreneur in the energy sector. The SDG innovation process was completely new to me and exposed me to how difficult and exciting it is to explore solutions to different problems.” The bootcamp revealed to Özdemir how “even the seemingly chaotic process of creativity can have structure.”

Next Steps and Resources

Participants in the bootcamp will be invited to take part in a series of forthcoming events and opportunities related to mentoring, transitioning from idea to prototype (through CREATE-X programming), and funding. The Sustainable-X 2022-23 program will culminate in a showcase in March in which selected participants, along with their counterparts in CREATE-X, will pitch their startups in hopes of obtaining support from investors.

Reflecting on the weekend launch event, Toktay said, “I enjoyed seeing how teams including students, staff members, and community participants – which we intentionally included in the bootcamp – gelled so well. They helped each other stay grounded in real problems while exploring creative solutions.” She said that she and her fellow organizers look forward to the growth of the program. “We believe that the teams have great potential to make a positive impact.”

“With the new Sustainable-X program, Scheller College is creating a new wave of impact at the intersection of sustainability, entrepreneurship, and innovation,” stated Dean Maryam Alavi. She continued, “This program will empower a new generation of Georgia Tech community members as they address some of the most pressing sustainability challenges of our time. I look forward to seeing what results.”

Co-directors Calmon and Ramachandran have worked with student and faculty entrepreneurs at Georgia Tech, INSEAD, and MIT. They recognize Georgia Tech’s potential to produce the next generation of sustainability and climate-impact startups, and look forward to building the pathway to support these startups through Sustainable-X.

Click here to sign up for updates.

Interested in getting involved? Contact Kjersti Lukens for more information.

Written by Jennifer Holley Lux

The 2022 class of Brook Byers Institute for Sustainable Systems Graduate Fellows are:

• Oliver Chapman - Ph.D. student, School of Public Policy, Ivan Allen College of Liberal Arts
• Megan Conville - Ph.D. student, School of City and Regional Planning, College of Design
• Carlos Fernandez - Ph.D. student, George W. Woodruff School of Mechanical Engineering, College of Engineering
• Sarah Roney - Ph.D. student, School of Biological Sciences
• Olianike Olaomo - Ph.D. student, School of History and Sociology, Ivan Allen College of Liberal Arts
• Vishal Sharma - Ph.D. student, School of Interactive Computing, College of Computing

The Faculty Advisory Board for the BBISS Graduate Fellows is composed of the faculty who submitted the students' nominations. Nominations for Class III of the BBISS Graduate Fellows program will open in the Spring 2023. It is expected that 6 to 8 scholars will be selected for next year’s group.

The Faculty Advisory Board for the inaugural class are:

• Marta Hatzell
• Marilyn Brown
• Elora Raymond
• Kate Pride Brown
• Marc Weissburg
• Neha Kumar

Updates and outcomes will be posted to the BBISS website as the project progresses. Additional information is available at https://research.gatech.edu/sustainability/grad-fellows-program.

Brook Byers Institute of Sustainable Systems Fellow Bistra Dilkina advised one of the four student teams, with her team conducting two of the five projects in this latest round of the program. Dilkina is a Georgia Tech School of Computational Science and Engineering Assistant Professor and DSSG co-director, along with Ellen Zegura, who is the Stephen Fleming Chair of Telecommunications in the Georgia Tech School of Computer Science, and Christopher Le Dantec, who is an Assistant Professor in the School of Literature, Media, and Communication. Dilkina says of the program, “DSSG connects the classroom with real problems of deep community relevance. We hope this will inspire students to pursue their technical education further and to be engaged global citizens that use their education for societal impact.”

In the first project, Dilkina’s team of four students partnered with Georgia Tech Facilities Management to determine some useful predictors of energy usage beyond historical energy usage and performance modelling, such as class schedules and climatic variables. Facilities Management hopes to better model energy usage, inform operational planning, and identify upgrades and renovations that might not be commonly recommended, but will be most impactful. The second project Dilkina advised, entitled “Predicting and Alleviating Road Flooding in Senegal,” sought to learn which regions and roadways would be most affected by flooding, and where mitigations would best preserve capacity and access to all parts of the country. Coastal countries like Senegal are at increased risk of flooding as weather patterns become more erratic and sea levels rise. Students partnered with the United Nations Global Pulse, a big data humanitarian and development group inside the UN.

The other Data Science for Social Good projects for the 2017 round were:

Food for Thought: Analyzing Public Opinion on the Supplemental Nutrition Assistance Program
Cycle Atlanta: Seeing Like a Bike
Atlanta Housing Justice: The Anti-Displacement Tax Fund

In past years, Dilkina has led DSSG student teams working on diverse projects. In 2016, she partnered with local nonprofit New American Pathways to design a data-driven way to identify potential places for refugee resettlement in metro Atlanta. In 2015, she worked with the  Atlanta Fire Rescue Department to build a predictive platform to help target commercial fire inspections, as well as with Trees Atlanta to efficiently identify tree planting locations and areas for forest preservation. In 2014, she led a team working with the City of Atlanta Emergency 911 Dispatch to inform new strategies for improving dispatchers’ workloads and overall response times to 911 calls.

The Atlanta chapter is part of a broader community of Data Science for Social Good programs that began at the University of Chicago in 2013. DSSG now has chapters at the University of Washington, the University of Massachusetts Amherst, and most recently at the IBM T.J. Watson Research Center. The emerging field of the data sciences is experiencing several growing pains, which the DSSG program serves to address: serving urgent communitty needs, developing the data science workforce by providing opportunities for students to gain experience, and helping students communicate effectively by working with real-world clients in a multi-disciplinary team structure. Students also learn critical skills such as stakeholder engagement, data acquisition and processing, data analysis and visualization, machine learning for predictive modeling, writing, and communicating results to nontechnical audiences.

Learn more about Design Science for Social Good here.

Georgia Tech’s Students Organizing for Sustainability (SOS) recently traveled across the world to Singapore for the 8th Global Botanic Garden Congress. They presented their research on the evaluation of various plants in student living accommodations. The independent research project was initially funded through the Micro Research Grants for Regenerative Built Environments sponsored by The Kendeda Building Advisory Board and the Brook Byers Institute for Sustainable Systems. This feat is uncommon among Georgia Tech student organizations but can serve as a case study for future SOS trips as well as other clubs.

The team found out about the conference by researching various conferences related to urban agriculture initiatives around the world. They specifically sought out conferences that could give them an international experience in a city deemed cutting-edge for urban green spaces, and that would allow them to talk about their research project. After being accepted into the Global Botanic Garden Congress, they needed to find funding to support their travel.

SOS members applied for numerous grants that are available to students around campus, including the School of Civil and Environmental Engineering's International Travel Funding through the Global Engineering Leadership Minor, the President’s Undergraduate Research Travel Award, and the Student Government Association (SGA) Conference Fund. In total, they were able to obtain multiple research and travel grants for over $16,000 to cover the travel expenses of seven members. The students are confident that, had more people been available, they could have received more funding to cover the additional travel expenses.

“There are a lot of opportunities on campus to get funding for a project, travel, or attend conferences, but students just need to know where to look,” says Elaina Render, fourth-year civil and environmental engineering major and SOS project lead for the UrbanAg group.

The group’s itinerary consisted of attending all four days of the conference, the last of which coincided with Singapore’s National Day. At the conference, students presented their research findings to an international audience and made personal connections. They talked with people from across the globe, including botanic garden representatives from Naples, Chicago, and San Diego. Making these connections has introduced them to opportunities for more interactive trips, such as visiting the Naples Botanical Garden to learn about beach plant management. They also hope to attend the 9th Global Botanical Garden Congress in Chicago next year.

“The conference is a great resource for students as they approach graduation because you can network for next career steps, find possible research advisors for graduate school, and be exposed to a range of career possibilities,” says Nicole Allen, fourth-year biomedical engineering major and SOS’s vice president of Finance.

In addition to the conference, they were able to explore the city of Singapore. On their first day, they toured Gardens by the Bay, where they saw famous attractions like the Golden Bay and the Flower Dome. The following day, they visited Singapore University of Technology and Design and met Greenprint, a student group similar to SOS, and talked with students and faculty about their campus sustainability initiatives. On the third day, they traveled to the Sungei Buloh Wetland Reserve, a beautiful mangrove forest. Allen notes that on a hike along the coastal trail, they decided to take a bus across the bridge to Malaysia and have brunch. On the last day of the conference, they visited Singapore’s Botanic Garden, which also houses the National Orchid Garden.

The SOS students report many successes from this experience, both personal and related to their SOS activities. Younger members of SOS, Rachel Bohl and Nikita Takalkar, both second-years, were able to attend the conference. This has inspired younger members to get more involved with on-campus sustainability initiatives. In particular, Takalkar is starting a new SOS project to decrease medical waste at Stamps Health Services. They have also seen an increase in attendance at their meetings and many questions about their trip. They hope the conference will serve as a model for future trips where students can promote their research, network, learn about what new research is happening in the world, and bring this knowledge back to Georgia Tech to inspire their own projects on campus.

“We hope that our project and trip to Singapore can serve as an inspiration to other students and campus organizations. It's possible to start an independent research project and get funding to present at international conferences,” says Render.

Allen adds, “We are implementing some of the ideas our trip inspired as new, student-led sustainability initiatives here at Georgia Tech.”

Citation: McSorley, M, Arkhurst, BK, Hall, M, Zha, Y, Spyrou, IM, Duchesneau, K, Ringania, U, Chang, M. 2023. For graduate students to become leaders in sustainability, we must transcend disciplinary boundaries. Elementa: Science of the Anthropocene 11(1). DOI: https://doi.org/10.1525/elementa.2023.00012

For more information about the Brook Byers Institute for Sustainable Systems Graduate Fellows program, please visit this webpage.

"The target was to retrofit an existing house to net zero," Aayushi Mody, the team lead said. "And, well, we exceeded the target by making it net positive. The house basically generates more energy than it utilizes." But, Mody explained, that's just the beginning.

In addition to a net positive retrofit, the English Avenue Yellow Jackets provided solutions for rainwater harvesting and graywater reuse, a financial model that included land trust subsidies, and an additional 60 years' worth of projected weather data that proved the house would stay net positive even in cases of extreme weather.

Full Story...

• Faizah Asif, Biological Sciences
• Anneke Augenbroe, Biomedical Engineering
• Leo Chen, Computer Science
• Braden Gilleland, Mechanical Engineering
• Kian Halim, Computational Media
• Dongyuan He, Electrical and Computer Engineering
• Hayden Mcleod, Business Administration
• Ellen Murphy, Environmental Engineering
• Gigi Pavur, Earth and Atmospheric Sciences
• Benjamin Tasistro-Hart, Architecture

Through their research, the Fellows are learning about Living Buildings, performance dashboards, systems and complexity, and the design of human interfaces. Their work is being facilitated by Drs. Michael Chang (Brook Byers Institute for Sustainable Systems) and Dana Hartley (School of Earth and Atmospheric Sciences). Beyond the inaugural year, it is the intent that this pilot project will serve as the basis for a new Vertically Integrated Project (VIP) that allows undergraduates to earn academic credits by working on faculty-led research projects over multiple semesters, with students participating for up to three years.

Applications were solicited from across Georgia Tech, with individuals and teams entering from five colleges and 10 majors. For the first time, a USG-wide expansion invited students from other Georgia universities to participate, and submissions were received from Kennesaw State University and Agnes Scott College.

Leading up to the competition, teams participated in workshops on problem discovery, stakeholder mapping, and asset-based community development. Participants who applied for a mentor also received support from Scheller MBA students. Participants prepared an application that included an executive summary and a 3-minute video presentation.

Amidst the application and education process, ILSI was forced to quickly pivot and, with the help of its partners, shift to a virtual format for the competition as a result of the coronavirus health crisis. However, the students were not deterred, and 21 teams entered the final stages of the competition.

A panel of judges from a global community of NGOs and the local academic and business community convened virtually to determine the winners, runners-up, and finalists, all of whom receives cash prizes.

These winners represent a diverse set of student teams tackling a very broad set of problem areas. In the Problem Discovery Track, Amanda Miller (BA) took home the top slot and $2,500 for examining effects of the city of Atlanta’s sex trafficking industry on minors through her project “Trafficked.” Her submission was based on and inspired by her work with Wellspring Living, an Atlanta nonprofit providing transformative services to those affected by trafficking.

It was Amanda's commitment to elicit a deep understanding of the root causes and factors of the problem that impressed Tech alumni Susan Davis, global coordinator of Agenda for Change and lead Problem Discovery Track judge.

“My goal for being involved in Ideas to Serve is to encourage students who are already clearly motivated to address social and environmental issues to think more critically about how others have tried to address these issues and what their effective role can be,” said Davis.

“In “Trafficked,” Amanda Miller described the exact process of looking beyond the obvious symptoms of trafficking to explore root causes, including policy, enforcement, economics, and culture,” continued Davis.

The second and third-place teams in the Problem Discovery Track addressed land conservation in Chile (Strategic Park Design for Sustainability) and menstrual hygiene issues in developing countries (Partners in Dignity). Fight Girls Mutilation (addressing female genital mutilation in Kenya), Aqualove (examining better hydration practices for at-risk elderly population), and Resource Bridge (homeless services) rounded out the list of top teams in this track.

In the Solutions Discovery Track, teams were judged based on their potential solutions to the social and environmental issues they addressed. The winner of this track was the five-student team Invenovate. They are working on a solution to the elopement or wandering off tendency and associated risks for caretakers of children with autism and seniors with dementia.

The runner-up in this category, Atlanta Youth Energy Corps, addressed issues of energy inequity, specifically in metro Atlanta. The Reflex (optimizing EMS response times) and Afterlife (tackling household waste through DYI projects) teams earned Honorable Mention in the Solutions Discovery Track. 

Finally, all teams were eligible to receive specialty prizes based on specific sections of their submission. Invenovate received the Best Pitch award, as did Carrie’s Closet, an interdisciplinary Leadership Minor Capstone team. Carrie’s Closet worked with the Center for Civic Innovation Fellow Mamie Harper to address the Foster Care Bill of Rights in Georgia.

More than 1300 votes were cast in the People’s Choice category, and team Reflex came out on top, while Afterlife won both the Best Video and the Net-Impact MBA award. Fight Girl’s Mutilation earned the Best System/Stakeholder Map award that required a demonstrated understanding of the underlying interactions and root causes of the social issue examined.

Lastly, Partner in Dignity was chosen as the Georgia Tech delegate for the Map the System Global Challenge, a social impact solution competition organized by the Skoll Center for Social Entrepreneurship at the Said Business School in Oxford, England (which will be held virtually this year).

“It was amazing to see that, despite the challenges of dealing with the public health crisis and participating virtually – from three different continents - students eagerly persevered. They did an outstanding job studying the systems around their chosen issues, identifying community-based solutions, and recognizing ways they can affect positive change,” said Terry Blum, Tedd Munchak Chair in Entrepreneurship and faculty director of the Institute for Leadership and Social Impact.

The Ideas to Serve Competition would not be possible without the support of our generous sponsors. Thank you to The Cecil B. Day Program for Business Ethics, the Center for Serve-Learn-Sustain, the Steven A. Denning Technology & Management Program, Tedd Munchak Chair in Entrepreneurship, Center for International Business Education and Research, Ray C. Anderson Center for Sustainable Business, Sam Nunn School of International Affairs, LEAD Program, Hands on Atlanta, Richard Hill, Innovation and Design Collaborative, Moseley Ventures, and Speechworks.

Participation in the Ideas to Serve Competition fulfills the Final Deliverable requirement for the SLS Innovating for Social Impact Program – a collaboration between the Institute for Leadership and Social Impact and the Center for Serve-Learn-Sustain.

Full List of I2S Awardees

Problem Discovery Track Winner:

Trafficked ($2,500)
Team: Amanda Miller (BA)

Runner-Up: Strategic Park Design for Sustainability ($1,500)
Team: Angelica Acevedo (LMC), Shrinka Roy (MBA & Masters in ID)

Third Place: Partners in Dignity ($1,000)
Team: Adele Payman (AE), Dharesha Jhaveri (IE), Jonathan Hou (CS), Jessica Zhang (IE), Aisha Abdullahi (IE)

Honorable Mentions:

Fight Girls’ Mutilation 
led by Yvonne Njeri Mogwanja (CE)

Aqualove
led by Jinwoo Park (CS), Alice Zeng (CS), Benjamin Rochford (CS), Zachary Beckham (IE), Luke Dague (BME), Chandler Pitts (ME)

and
Resource Bridge
led by Samuel Costa (BA), Kathryn Farley (BME), Shenelle Campbell (Architecture), Swaraj Agarwal (ID) 

Solution Discovery Track Winner:

Invenovate ($2,500)
Team: Alejandro Campos (ME), Tillson Galloway (CS), Mark Saad (ME), Andre Prieto, Martin Jacobson (BME)

Runner-Up:

Atlanta Youth Energy Corps ($1,500)
Team: Sharon Gurung (Env. Engineering), Gwyn Rush (IA), Dakota Mitchell (Biology), Brittany Judson (Math & Econ)

Honorable Mentions:

Afterlife
led by Clotilde Bignard (MBA)

Reflex
led by Usman Jamal (CS), Nevin Gilbert (CS), Reed Blanchard (ME), Amelia Abernathy (BA), Akash Harapanahalli (CE), Lauryn Wright (BME)

Specialty Prizes

People's Choice Award ($500):

Reflex

Best Video Award ($500):

Afterlife

Best System/Stakeholder Map ($500):

Fight Girl’s Mutilation

Best Pitch Awards ($500):

Invenovate

Carrie’s Closet
Team: Huda Tauha (CS), Benjamin Frumkin (ME), Riley Geran (ChemE), Sakshie Rao (IA) 

Scheller Net Impact MBA Award ($500):

Afterlife

You can find descriptions of teams and their video presentations on the Ideas to Serve Teams page.

The first class of Brook Byers Institute for Sustainable Systems Graduate Research Assistant Scholars are:

• Bettina Arkhurst - Ph.D. student, George W. Woodruff School of Mechanical Engineering, College of Engineering
• Katherine Duchesneau - Ph.D. student, School of Biological Sciences
• Marjorie Hall - Ph.D. student in History of Technology, School of History and Sociology, Ivan Allen College of Liberal Arts
• Meaghan McSorley - Ph.D. student, School of City and Regional Planning, College of Design
• Udita Ringania - Ph.D. student, School of Chemical and Biomolecular Engineering
• Ioanna Maria Spyrou - Ph.D. student, School of Economics, Ivan Allen College of Liberal Arts
• Yilun 'Elon' Zha - Ph.D. student, School of Architecture, College of Design, and Master of Science candidate in statistics, Stewart School of Industrial and Systems Engineering, College of Engineering

The Faculty Advisory Board for the BBISS GRA Scholars is composed of the faculty who submitted the students' nominations. Nominations for Classes II and III of the BBISS GRA Scholars program will open in Spring 2022 and Spring 2023. It is expected that 6 to 8 scholars will be selected for each year’s group.

The Faculty Advisory Board for the inaugural class are:

• Saad Bhamla
• Nisha Botchwey
• Shatakshee Dhongde
• Ellen Dunham-Jones
• Katherine Fu
• Joel Kostka
• Steve Usselman

Updates and outcomes will be posted to the BBISS website as the project progresses. Additional information is available at https://sustainable.gatech.edu/bbiss_gra_scholars.

As Georgia Tech establishes itself as a national leader in AI research and education, some researchers on campus are putting AI to work to help meet sustainability goals in a range of areas including climate change adaptation and mitigation, urban farming, food distribution, and life cycle assessments while also focusing on ways to make sure AI is used ethically.

Josiah Hester, interim associate director for Community-Engaged Research in the Brook Byers Institute for Sustainable Systems (BBISS) and associate professor in the School of Interactive Computing, sees these projects as wins from both a research standpoint and for the local, national, and global communities they could affect.

“These faculty exemplify Georgia Tech's commitment to serving and partnering with communities in our research,” he says. “Sustainability is one of the most pressing issues of our time. AI gives us new tools to build more resilient communities, but the complexities and nuances in applying this emerging suite of technologies can only be solved by community members and researchers working closely together to bridge the gap. This approach to AI for sustainability strengthens the bonds between our university and our communities and makes lasting impacts due to community buy-in.”

Flood Monitoring and Carbon Storage

Peng Chen, assistant professor in the School of Computational Science and Engineering in the College of Computing, focuses on computational mathematics, data science, scientific machine learning, and parallel computing. Chen is combining these areas of expertise to develop algorithms to assist in practical applications such as flood monitoring and carbon dioxide capture and storage.

He is currently working on a National Science Foundation (NSF) project with colleagues in Georgia Tech’s School of City and Regional Planning and from the University of South Florida to develop flood models in the St. Petersburg, Florida area. As a low-lying state with more than 8,400 miles of coastline, Florida is one of the states most at risk from sea level rise and flooding caused by extreme weather events sparked by climate change.

Chen’s novel approach to flood monitoring takes existing high-resolution hydrological and hydrographical mapping and uses machine learning to incorporate real-time updates from social media users and existing traffic cameras to run rapid, low-cost simulations using deep neural networks. Current flood monitoring software is resource and time-intensive. Chen’s goal is to produce live modeling that can be used to warn residents and allocate emergency response resources as conditions change. That information would be available to the general public through a portal his team is working on.

“This project focuses on one particular community in Florida,” Chen says, “but we hope this methodology will be transferable to other locations and situations affected by climate change.”

In addition to the flood-monitoring project in Florida, Chen and his colleagues are developing new methods to improve the reliability and cost-effectiveness of storing carbon dioxide in underground rock formations. The process is plagued with uncertainty about the porosity of the bedrock, the optimal distribution of monitoring wells, and the rate at which carbon dioxide can be injected without over-pressurizing the bedrock, leading to collapse. The new simulations are fast, inexpensive, and minimize the risk of failure, which also decreases the cost of construction.

“Traditional high-fidelity simulation using supercomputers takes hours and lots of resources,” says Chen. “Now we can run these simulations in under one minute using AI models without sacrificing accuracy. Even when you factor in AI training costs, this is a huge savings in time and financial resources.”

Flood monitoring and carbon capture are passion projects for Chen, who sees an opportunity to use artificial intelligence to increase the pace and decrease the cost of problem-solving.

“I’m very excited about the possibility of solving grand challenges in the sustainability area with AI and machine learning models,” he says. “Engineering problems are full of uncertainty, but by using this technology, we can characterize the uncertainty in new ways and propagate it throughout our predictions to optimize designs and maximize performance.”

Urban Farming and Optimization

Yongsheng Chen works at the intersection of food, energy, and water. As the Bonnie W. and Charles W. Moorman Professor in the School of Civil and Environmental Engineering and director of the Nutrients, Energy, and Water Center for Agriculture Technology, Chen is focused on making urban agriculture technologically feasible, financially viable, and, most importantly, sustainable. To do that he’s leveraging AI to speed up the design process and optimize farming and harvesting operations.

Chen’s closed-loop hydroponic system uses anaerobically treated wastewater for fertilization and irrigation by extracting and repurposing nutrients as fertilizer before filtering the water through polymeric membranes with nano-scale pores. Advancing filtration and purification processes depends on finding the right membrane materials to selectively separate contaminants, including antibiotics and per- and polyfluoroalkyl substances (PFAS). Chen and his team are using AI and machine learning to guide membrane material selection and fabrication to make contaminant separation as efficient as possible. Similarly, AI and machine learning are assisting in developing carbon capture materials such as ionic liquids that can retain carbon dioxide generated during wastewater treatment and redirect it to hydroponics systems, boosting food productivity.

“A fundamental angle of our research is that we do not see municipal wastewater as waste,” explains Chen. “It is a resource we can treat and recover components from to supply irrigation, fertilizer, and biogas, all while reducing the amount of energy used in conventional wastewater treatment methods.”

In addition to aiding in materials development, which reduces design time and production costs, Chen is using machine learning to optimize the growing cycle of produce, maximizing nutritional value. His USDA-funded vertical farm uses autonomous robots to measure critical cultivation parameters and take pictures without destroying plants. This data helps determine optimum environmental conditions, fertilizer supply, and harvest timing, resulting in a faster-growing, optimally nutritious plant with less fertilizer waste and lower emissions.

Chen’s work has received considerable federal funding. As the Urban Resilience and Sustainability Thrust Leader within the NSF-funded AI Institute for Advances in Optimization (AI4OPT), he has received additional funding to foster international collaboration in digital agriculture with colleagues across the United States and in Japan, Australia, and India.

Optimizing Food Distribution

At the other end of the agricultural spectrum is postdoc Rosemarie Santa González in the H. Milton Stewart School of Industrial and Systems Engineering, who is conducting her research under the supervision of Professor Chelsea White and Professor Pascal Van Hentenryck, the director of Georgia Tech’s AI Hub as well as the director of AI4OPT.

Santa González is working with the Wisconsin Food Hub Cooperative to help traditional farmers get their products into the hands of consumers as efficiently as possible to reduce hunger and food waste. Preventing food waste is a priority for both the EPA and USDA. Current estimates are that 30 to 40% of the food produced in the United States ends up in landfills, which is a waste of resources on both the production end in the form of land, water, and chemical use, as well as a waste of resources when it comes to disposing of it, not to mention the impact of the greenhouses gases when wasted food decays.

To tackle this problem, Santa González and the Wisconsin Food Hub are helping small-scale farmers access refrigeration facilities and distribution chains. As part of her research, she is helping to develop AI tools that can optimize the logistics of the small-scale farmer supply chain while also making local consumers in underserved areas aware of what’s available so food doesn’t end up in landfills.

“This solution has to be accessible,” she says. “Not just in the sense that the food is accessible, but that the tools we are providing to them are accessible. The end users have to understand the tools and be able to use them. It has to be sustainable as a resource.”

Making AI accessible to people in the community is a core goal of the NSF’s AI Institute for Intelligent Cyberinfrastructure with Computational Learning in the Environment (ICICLE), one of the partners involved with the project.

“A large segment of the population we are working with, which includes historically marginalized communities, has a negative reaction to AI. They think of machines taking over, or data being stolen. Our goal is to democratize AI in these decision-support tools as we work toward the UN Sustainable Development Goal of Zero Hunger. There is so much power in these tools to solve complex problems that have very real results. More people will be fed and less food will spoil before it gets to people’s homes.”

Santa González hopes the tools they are building can be packaged and customized for food co-ops everywhere.

AI and Ethics

Like Santa González, Joe Bozeman III is also focused on the ethical and sustainable deployment of AI and machine learning, especially among marginalized communities. The assistant professor in the School of Civil and Environmental Engineering is an industrial ecologist committed to fostering ethical climate change adaptation and mitigation strategies. His SEEEL Lab works to make sure researchers understand the consequences of decisions before they move from academic concepts to policy decisions, particularly those that rely on data sets involving people and communities.

“With the administration of big data, there is a human tendency to assume that more data means everything is being captured, but that's not necessarily true,” he cautions. “More data could mean we're just capturing more of the data that already exists, while new research shows that we’re not including information from marginalized communities that have historically not been brought into the decision-making process. That includes underrepresented minorities, rural populations, people with disabilities, and neurodivergent people who may not interface with data collection tools.”

Bozeman is concerned that overlooking marginalized communities in data sets will result in decisions that at best ignore them and at worst cause them direct harm.

“Our lab doesn't wait for the negative harms to occur before we start talking about them,” explains Bozeman, who holds a courtesy appointment in the School of Public Policy. “Our lab forecasts what those harms will be so decision-makers and engineers can develop technologies that consider these things.”

He focuses on urbanization, the food-energy-water nexus, and the circular economy. He has found that much of the research in those areas is conducted in a vacuum without consideration for human engagement and the impact it could have when implemented.

Bozeman is lobbying for built-in tools and safeguards to mitigate the potential for harm from researchers using AI without appropriate consideration. He already sees a disconnect between the academic world and the public. Bridging that trust gap will require ethical uses of AI.

“We have to start rigorously including their voices in our decision-making to begin gaining trust with the public again. And with that trust, we can all start moving toward sustainable development. If we don't do that, I don't care how good our engineering solutions are, we're going to miss the boat entirely on bringing along the majority of the population.”

BBISS Support

Moving forward, Hester is excited about the impact the Brooks Byers Institute for Sustainable Systems can have on AI and sustainability research through a variety of support mechanisms.

“BBISS continues to invest in faculty development and training in community-driven research strategies, including the Community Engagement Faculty Fellows Program (with the Center for Sustainable Communities Research and Education), while empowering multidisciplinary teams to work together to solve grand engineering challenges with AI by supporting the AI+Climate Faculty Interest Group, as well as partnering with and providing administrative support for community-driven research projects.”

Georgia’s coastal ecology is being degraded by several threats. Erosion caused by a combination of traffic from water vessels, sea-level rise, increased storm intensity and frequency, and property development, are negatively impacting both coastal living systems and the state’s economy. Tourism, agriculture, recreation, fisheries, property development, and trade (through the Port of Savannah) all rely on healthy coastlines.

Roney’s interest in coastal ecology and oysters drew her to focus her doctoral thesis on this problem. She divided her project into two parts. The first involved understanding how much oyster reefs reduce the erosion caused by wave energy (ship wake) from water traffic. The second part demonstrated a method for making young oysters resistant to predation — increasing their survival rates and that of the reef colonies they call home. Roney focused her research on two major waterways in the Savannah area. The Intracoastal Waterway and the South Channel of the Savannah River, which leads to the Port of Savannah, are both subject to heavy ship and boat traffic. According to Roney’s collaborators at Georgia Tech, 65% of the wave energy lashing the South Channel’s shores is generated by cargo vessels navigating to and from the Port of Savannah. Because traffic along the Intracoastal Waterway is subject to very few speed restrictions, there is plenty of erosive wave energy there also, even though the vessels are almost exclusively small.

Roney chose one site in each waterway to place her reef structures. Mesh bags of oyster shells were seeded with young oysters by personnel working at a University of Georgia Shellfish Research Lab. Roney created her reef structures by placing these bags in a row 15 to 20 meters long and a meter wide. Once established, Roney found that constructed reefs dissipate 40% of the wave energy before it reaches the marsh edge. “This is an experimental pilot study, so the reefs are on the smaller side,” Roney explained. “Reefs as large as 100 meters long may be necessary to protect certain areas — which sounds like a big investment. But because these are living shorelines, they are self-sustaining, and will keep growing and building on themselves.”

Establishing oyster reefs can be challenging, however, because predators feast on young oysters. Blue crabs are among the most voracious. The second part of Roney’s research was to develop a method that improves adolescent oysters’ chances of surviving to adulthood — when they infrequently succumb to predation. Roney and her collaborators at Georgia Tech identified two compounds found in blue crab urine, called trigonelline and homarine, that induce young oysters to devote more energy toward growing their shells, which become 25-60% stronger than normal. Roney found that after four to eight weeks of exposure to these compounds in hatchery conditions, their overall survival rate improved by 30% once placed in a reef. Her method not only helps constructed reefs to become established, but can also help existing oyster reefs become more resilient by slowing, or reversing, their decline.

While coastal restoration projects are not new in Georgia, the techniques Roney developed are relatively novel. Conventional shoreline restoration projects involve excavation, placing gravel beds, and extensive plantings, mostly with sea grasses. Roney has shown that using living shoreline strategies are less intensive and less expensive to establish and are also effective in reducing wave energy in waterways vulnerable to erosion. Perhaps most significantly, these techniques also restore the foundational functions of the ecosystems in which they are placed. The reefs become nurseries, incubating fish, bird, plant, and crustacean species.

Roney engaged several partners over the four years of her project, many in the communities along Georgia’s coast. Over 35 coastal residents, business owners, citizen scientists, and students volunteered their time and resources to help Roney’s project succeed. Roney said, “I think the most rewarding part of the project has been seeing how many people are truly invested in our coastal resources and want oyster reefs to thrive.”

This project isn’t likely to end once Roney earns her PhD. For living shoreline restoration practices to catch on, several other problems require investigation. Roney wants to devise a way to slowly release predator cue compounds into the water near oyster reefs, so baby oysters won’t need to spend as much time in a hatchery before being placed in the wild. Perfecting such a time-release mechanism could also help rejuvenate naturally occurring oyster reefs under threat from erosion and predation.

Roney also wants to try combining constructed oyster reefs with oyster farms, integrating one of the most sustainable ways that protein can be raised with living shoreline restoration. “As the mariculture industry in Georgia grows, there will be lots of opportunities to investigate the possible intersections between the ecological benefits, engineering benefits, and cultural benefits of oyster farming,” Roney said. “Food might be a continuous byproduct of shoreline restoration projects.”

Roney’s research shows that economic development and preserving, or even regenerating, diverse and productive coastal habitats for future generations don’t have to be mutually exclusive propositions.

Roney’s thesis advisor is Marc Weissburg, Brook Byers Professor in the School of Biological Sciences. Kevin Haas, professor in the School of Civil and Environmental Engineering, helped Roney map and measure the hydrodynamic forces in her study zones. The Coastal Resources Division of the Georgia Department of Natural Resources, the National Parks Service, and the University of Georgia Marine Extension and Georgia Sea Grant program provided access, permitting, funding, and resources.

“Malaria kills over 500,000 annually with the mortality rate substantially higher in Africa,” says Frooman. “Our research explores how specific peptides bind to proteins that trigger immune responses.”

Frooman originally hoped the research would help her learn how to think like a scientist and gain basic lab knowledge.

She gained those skills and more, quickly becoming recognized as an exceptional researcher.

“Marielle is one of the most passionate and talented undergraduate researchers I have ever worked with,” says Andrew McShan, McShan Lab principal investigator and associate professor in the School of Chemistry and Biochemistry. “She is also a caring mentor and motivated future leader who wants to change the world. Her malaria research has the potential to provide real therapeutic outcomes, including better designs for vaccines and immunotherapy.” 

From curiosity to contribution

Frooman’s journey into undergraduate research began with persistence. After a year and a half of searching for lab opportunities, she attended a School of Chemistry and Biochemistry research showcase. She approached several graduate students and professors with no success, until she met McShan.

“Our first meeting was so relaxed and friendly that I didn’t even realize Professor McShan was the principal investigator,” admits Frooman. “That’s how it all started.”

Once she officially joined the lab, Frooman contributed to every stage of the research, including designing experiments, performing computational and wet lab work, analyzing data, and writing and presenting the paper.

Lessons in resilience

The team faced several challenges.

“The research was delayed by failure after failure,” says Frooman. “But each setback taught us something valuable.”

The team’s biggest challenge involved trying to grow crystals of the peptide/HLA (protein) complexes to determine how they fit together. They spent two years attempting various methods, but nothing worked.

Guided by McShan, Frooman and the team then came up with the idea of using computational modeling to enable a deeper understanding of how the peptides and proteins interact at both biophysical and structural levels.

“Utilizing the computational modeling enabled us to see the best bindings and turned into a game-changing insight for our research, potentially leading to the design of more effective malaria treatments and vaccines,” explains Frooman.

She is quick to credit Georgia Tech and McShan for providing her with such a valuable learning experience.

“At many universities, undergraduates rarely do meaningful research, but at Tech, it’s a priority,” explains Frooman. “I’m extremely grateful for the opportunity to grow in such a supportive environment, and to learn from mentors like Professor McShan who lead by example and make time for every student.”

Her advice to other undergraduates entering research?

“Embrace your failures. They make the successes even more rewarding,” shares Frooman.

Outside the lab

On campus, Frooman is president of the Student Affiliates of the American Chemical Society and Cleanup Crew at GT, a member of Alpha Phi International Fraternity, and a campus tour guide who serves on their executive board. 

She especially loves being a tour guide as it allows her to share her love of Georgia Tech and its people:

“Everyone is unapologetically themselves and fully invested in their major or interests. As someone who loves chemistry, I enjoy being surrounded by people who are just as dedicated to their passions.”

Frooman is a recipient of the Chance Family Scholarship, presented to two School of Chemistry and Biochemistry upperclassmen, recognizing their academic excellence, research contributions, and potential for career success in the field.

Recently, she shifted her research focus to organic synthetic chemistry and now works in the Gutekunst Lab. Her career goals include earning a Ph.D. in Chemistry with an emphasis on natural product synthesis, the lab-based creation of complex chemical compounds found in nature.

“I’ve seen what university labs can do,” says Frooman. “I hope to one day lead my own lab, advancing impactful research and mentoring the next generation of scientists.”

The study, “Evidence for a composite volcano on the rim of Jezero crater on Mars,” was published this May in the Nature-family journal Communications Earth & Environment, and underscores how much we have left to learn about one of the most well-studied regions of Mars.

Lead author Sara C. Cuevas-Quiñones completed the research as an undergraduate during a summer program at Georgia Tech; she is now a graduate student at Brown University. The team also included corresponding author Professor James J. Wray (School of Earth and Atmospheric Sciences), Assistant Professor Frances Rivera-Hernández (School of Earth and Atmospheric Sciences), and Jacob Adler, then a postdoctoral fellow at Georgia Tech and now an assistant research professor at Arizona State University. 

“Volcanism on Mars is intriguing for a number of reasons — from the implications it has on habitability, to better constraining the geologic history,” Wray says. “Jezero Crater is one of the best studied sites on Mars. If we are just now identifying a volcano here, imagine how many more could be on Mars. Volcanoes may be even more widespread across Mars than we thought.”

A mountain in the margins

Wray first noticed the mountain in 2007, while considering Jezero Crater as a graduate student. 

“I was looking at low-resolution photos of the area and noticed a mountain on the crater’s rim,” he recalls. “To me, it looked like a volcano, but it was difficult to get additional images.” At the time, Jezero Crater was newly discovered, and imaging focused almost entirely on its intriguing water history, which is on the opposite side of the 28-mile-wide crater.

Then, Jezero Crater, due to these lake-like sedimentary deposits, was selected as the landing spot for the 2020 Perseverance Rover — an ongoing NASA mission seeking signs of ancient Martian life and collecting rock samples for possible return to Earth.

However, after landing, some of the first rocks Perseverance encountered were not the sedimentary deposits one might expect from a previously-flooded area — they were volcanic. Wray suspected he might know the origin of these rocks, but to make a case for it, he would need to show that the mountain on the edge of Jezero Crater could indeed be a volcano.

A new researcher — and old data

The opportunity presented itself several months after Perseverance landed when Cuevas-Quiñones applied to a Summer Research Experience for Undergraduates (REU) program hosted by the School of Earth and Atmospheric Sciences to work with Wray. 

“A previous study led by Briony Horgan (professor of planetary science at Purdue University) had also suggested that Jezero Mons could be volcanic,” Cuevas-Quiñones says. “I began wondering if there was a way to home in on these suspicions.”

The team partnered with study coauthor Rivera-Hernández, who specializes in characterizing the surface of planets and their habitability. They decided to use datasets gathered from spacecraft orbiting Mars to compare the properties of Jezero Mons to other, known, volcanoes. “We can’t visit Mars and definitively prove that Jezero Mons is a volcano, but we can show that it shares the same properties with existing volcanoes — both here on Earth and Mars,” Wray explains.

“We used data from the Mars Odyssey Orbiter, Mars Reconnaissance Orbiter, ExoMars Trace Gas Orbiter, and Perseverance Rover, all in combination to puzzle this out,” he adds. “I think this shows that these older spacecraft can be extremely valuable long after their initial missions end — these old spacecraft can still make important discoveries and help us answer tricky questions.”

For Cuevas-Quiñones, it also underscores the importance of REU programs and opportunities for undergraduates. “I was an undergraduate student at the time, and this was my first time conducting research,” she says. “It was fascinating to learn how different data sets could be used to decode the origin of a landscape. After Jezero Mons, it became clear to me that I would continue to study Mars and other planetary bodies.”

The search for life — and determining Mars’ age

The discovery makes the crater even more intriguing in the search for past life on Mars. A volcano so close to watery Jezero Crater could add a critical source of heat on an otherwise cold planet, including the potential for hydrothermal activity — energy that life could use to thrive. 

This type of system also holds interest for Mars as a whole. “The coalescence of these two types of systems makes Jezero more interesting than ever,” shares Wray. “We have samples of incredible sedimentary rocks that could be from a habitable region alongside igneous rocks with important scientific value.” If returned to Earth, igneous rocks can be radioisotope dated to know their age very precisely. Dating the Jezero Crater samples could be used to calibrate age estimates, providing an unprecedented window into the geologic history of the planet.

The take home message? “Mars is the best place we have to look in our solar system for signs of life, and thanks to the Perseverance Rover collecting samples in Jezero, the United States has samples from the best rocks in the best place on Mars,” Wray says. “If these samples are returned to Earth, we can do incredible, groundbreaking science with them.”

DOI: https://doi.org/10.1038/s43247-025-02329-7

Funding: Cuevas-Quiñones was supported by Georgia Tech’s 2021 Research Experience for Undergraduates program sponsored by NSF and 3M corporation. Wray was supported by NASA funding for Co-Investigators on HiRISE and CaSSIS. CaSSIS is a project of the University of Bern and funded through the Swiss Space Office via ESA’s PRODEX program. The instrument hardware development was also supported by the Italian Space Agency (ASI) (ASI-INAF agreement 2020-17-HH.0), INAF/Astronomical Observatory of Padova, and the Space Research Center (CBK) in Warsaw. Support from SGF (Budapest), the University of Arizona Lunar and Planetary Lab, and NASA are also gratefully acknowledged. Operation support from the UK Space Agency is also acknowledged.

This year’s cohort spans a wide range of industries, including artificial intelligence, defense, healthcare, gaming, sustainability, media management, agriculture tech, fashion tech, education, and more. 

“These founders are in the messy middle and that's a beautiful place to be. There’s a lot of freedom in that,” said Margaret Weniger, director of Startup Launch. “We’re all going to be in this together. It's a safe space to try new things. It’s OK if it doesn't work out because what we want founders to learn is an entrepreneurial mindset and entrepreneurial spirit — something you take with you no matter what you do after this.”

Over the next 12 weeks, teams will validate ideas, build products, and acquire customers with the help of dedicated coaches, a robust founder community, and a network of mentors and alumni. 

Raghupathy "Siva" Sivakumar, Georgia Tech’s inaugural vice president of Commercialization and the faculty founder of CREATE-X, spoke about the core of CREATE-X and what it would take for founders to succeed.

“Startup Launch is not about Georgia Tech gaining from your success. We are here just for one reason, which is to make you successful,” he said. “You need to hold yourself accountable. You need to be ambitious in terms of how big a problem you solve. You need to be emphatic that the customer matters. The successful teams are 100% behind what's going to make the lives of customers easier and better.”

In 2014, CREATE-X was co-founded by Sivakumar, Steve McLaughlin(who is now the president of The Cooper Union for the Advancement of Science and Art), and other Georgia Tech faculty, including Ray Vito, Craig Forest, and Ravi Bellamkonda (who is now the executive vice president and provost of The Ohio State University). The program received its initial major philanthropic support from Chris Klaus, a Georgia Tech alumnus and tech entrepreneur, whose gift helped launch the initiative, and , played a key role in building out the program's maker courses. Over the years, CREATE-X has continued to grow, thanks largely to the philanthropic support of alumni and foundations who believe in its mission.

In the last decade, the program has produced over 650 startups, $2.4 billion in portfolio valuation, and had eight founders named to Forbes’ 30 Under 30. Wagner shared stories of past teams who pivoted dramatically — from a glucose-monitoring pillow to a sobriety app now valued at over $350 million, and from a camping gear delivery service to a billion-dollar logistics platform. 

“We don’t know which ideas will become the next unicorns,” Weniger said. “But we’re betting on you.”

At the kickoff event, McLaughlin and Klaus were honored for their contributions to Georgia Tech’s entrepreneurial ecosystem. McLaughlin encouraged the founders through the story of CREATE-X.

“From the very beginning, we challenged CREATE-X to be a startup as well. To this day, CREATE-X has raised its own money to do this. It's a reminder of what it takes to make this happen,” he said. “This is the most difficult challenge you have ever taken. I think at the time, we were probably skeptical about whether students could do it. Now we know that you can.”

Georgia Tech President Ángel Cabrera reflected on the impact of McLaughlin, Klaus, and others who saw the vision of Georgia Tech being an entrepreneurial campus. 

“Ten years ago, this was a crazy, absurd idea,” he said. “Now, 150 teams are working on their own crazy ideas. Even though sometimes there's this idea of the entrepreneur as a loner, what you learn very quickly is entrepreneurship is a team sport.”

Klaus spoke about people collaborating and helping solve problems together. 

“I'm especially inspired by Georgia with its complex history,” he said. “It continues to be a place where peace can be envisioned and pursued. I think this recognition strengthens my commitment to building bridges, resolving conflict, and lifting up voices that seek unity. As you build your businesses, you'll be building collaborations and partnerships, and hopefully make the world a better place.”

As the summer progresses, founders will be guided by CREATE-X’s core values: experiential education, entrepreneurial confidence, and real-world impact. Weniger encouraged teams to “show up uncomfortable” and “leverage every single resource” available.

The journey will culminate at Demo Day, where teams will showcase their startups to investors, industry leaders, and the broader community. The event is free, open to the public, and promises a front-row seat to the next wave of Georgia Tech-born innovation.

Demo Day 2025 will take place on Thursday, Aug. 28, at 5 p.m., in the Exhibition Hall. For more information and to RSVP, visit the CREATE-X Demo Day Eventbrite.

She said the police officer who interviewed her was dismissive and neglected to write down details that Foriest found significant. The deficient police report was picked up by local media, which led to news stories that inaccurately described the crime and left out important information.

Foriest said she learned from the incident that incomplete information doesn’t mitigate violence. The perspectives and stories of people who experience violence are essential to reliable data.

The incident guided Foriest as she committed to research that gathers complete and accurate data on multiple types of violence, including violent injury and homicide, intimate partner violence, gender-based violence, and suicide.

Foriest earned a bachelor’s in health science from Columbus State University. She also holds two master’s degrees: one in public health from the University of Southern California, and another in technology leadership and management from Agnes Scott College.

In 2021, Foriest started her Ph.D. in human-centered computing at Georgia Tech to understand how technology influences violence.

“I look at all types of violence as an outcome of how technology affects communication,” she said. 

One thing she discovered was that even though technology can amplify victims’ voices, it is often used to silence them.

“The same social dynamics that keep people from disclosing their violent experiences to formal reporting sources offline also happen online,” she said.

Bringing the Cardiff Model to the U.S.

Before arriving at Tech, Foriest worked for eight years as an injury prevention coordinator at Grady Memorial Hospital in Atlanta. She implemented a trauma recovery center and Atlanta’s first hospital-based violence intervention program.

While in that position, she worked with the Cardiff Model for Violence Prevention, a public health approach to violence prevention developed by researchers at Cardiff University in Wales.

The Cardiff model’s philosophy is that violence prevention is best achieved when the healthcare and law enforcement sectors combine geographical data to determine where violence occurs in a community. 

“The Cardiff model taught Wales there was a lot about violence they didn’t know from police data alone,” Foriest said. 

One example is that researchers learned an alarming number of hospital patients were brought in from local taverns. This finding informed policymakers to implement new regulations, such as changing licensing requirements and serving alcohol in toughened glasses or non-glass vessels so they can’t be used as weapons.

In 2011, the city of Cardiff reported a 42% reduction in hospital admissions for hospital injuries. It wasn’t long before the researchers in the U.S. began importing the Cardiff model. In 2018, it became an official policy of the Centers for Disease Control and Prevention (CDC). 

The U.S. Department of Justice found in 2022 that 58% of violent crimes were not reported to law enforcement. Sixteen cities that make up the Cardiff Model for Violence Prevention National Networkare now gathering and mapping patient-reported violent injury data from hospitals to fill that data gap. 

Atlanta is one of the cities in that network, and Foriest has been an on-the-ground researcher collecting that data. Her work with the Cardiff model seamlessly integrated into her Ph.D. research as she sought ways to turn technology into a safe avenue of violence disclosure.

Working with Alex Godwin, a former Ph.D. student at Georgia Tech who is now an assistant professor at American University, she helped develop a user interface and mapping algorithm. The tool allows hospital patients who are violence victims to identify the location of the violent incident they experienced.

Foriest said, “Around the Covid-19 pandemic, we had challenges getting patients screened, and we thought we should explore different options.

“Our interface allows patients to tap down to the degree they’re comfortable on the geographic location where they were injured.

“It improved our ability to map data tremendously and decreased some of the risks patients face when disclosing violence.”

Foriest and Godwin's paper on the development of the interface tool earned an honorable mention for best paper at the 2025 Conference on Human Factors in Computing Systems (CHI) in Yokohama, Japan.

Foriest also co-authored an award-winning paper at the 2024 Conference on Computer-Supported Cooperative Work (CSCW). That paper examined how social media often silences violence victims.

Foriest is also a fellow for Data Science and Innovation at the CDC, where she continues her work on the Cardiff model. She also examines how news media coverage of suicides can often reinforce stigmas about the causes of suicide in that role.

Thriving at Tech

Foriest is entering her fifth year as a Ph.D. student, but before she came to Tech, she had no computing experience. She applied to numerous Ph.D. programs but was eventually persuaded that technology could complement her public health expertise and her goal of preventing violence.

“Tech was the only place where I could gain a new skill set while doing the things that I wanted to do in research,” she said. 

“That felt like the best fit for me, where I would get the most out of my training. I was encouraged by faculty and my peers to recognize that my perspective is valuable, and I can speak from that place and bridge my knowledge with HCI concepts.”

Players of the Current Crisis video game are pondering these questions, similar to professional grid managers during the Texas Smokehouse Creek fire in 2024. But the players did not purchase Current Crisis at a run-of-the-mill gaming store. They might have played it at Georgia Tech’s Dataseum, which featured the game in a recent exhibition. Or they might have helped develop it in weekly meetings with Daniel Molzahn, associate professor in the School of Electrical and Computer Engineering and EPIcenter initiative lead. 

“Current Crisis started as a computer simulation I programmed in Summer 2020 for a senior-level course I taught that fall,” says Molzahn. “My students had to dispatch crews to maintain or repair a simplified model of the Georgia power grid. In the middle of the Covid-19 pandemic, each dispatch had a risk of infection and quarantine, which meant losing the crew for the rest of that round. The students had a fixed budget to balance two competing goals: operating a power system with minimal outages and keeping the repair crews healthy.” 

The class project was popular, and its scope began to grow. Molzahn proposed turning his simulation into a video game in a July 2021 grant application to the National Science Foundation. He received the five-year award that fall and launched his “Vertically Integrated Project” on power grid gaming the following spring. It soon attracted about 35 students per semester, from sophomores to those pursuing graduate degrees in various disciplines. Most students stay for three to four semesters.

Tristan Ziegler joined the VIP as a computational media sophomore in Spring 2022 — and still works on it three years later as a professional programmer. “I found the project by searching for ‘game’ on the VIP website,” says Ziegler, who graduated in 2024. “It offered much more freedom than traditional classes but still allowed me to earn credits and grades, unlike a student organization where you volunteer your time.”

The students quickly discovered the benefits of working toward a shared goal in smaller groups, focused on coding, grid modeling, graphic design, or artistic creativity. Some volunteered to lead initiatives, such as organizing the Dataseum exhibition or the 2025 Seth Bonder summer camps, where they will teach high schoolers the basics of game programming. 

Another long-term member of the VIP team is Ryan Piansky, a doctoral student, who studies the resilience of power grids to wildfires. He combines well-known engineering tools — algorithms for finding a mathematically optimal problem solution — with historical wildfire data to evaluate grid management decisions.

“I have examined if policies based on established engineering principles help the people who need the most help, reduce the risk of outages broadly across the whole grid, and optimally allocate limited resources,” explains Piansky, who works in Molzahn's research lab. “To do that, I combine power grid models with realistic wildfire simulations to assess if those policies would likely generate desirable outcomes in a range of plausible scenarios.”

The VIP work on grid modeling has informed Piansky’s research, but the climate models he uses to mimic the spread of wildfires are too complex for a fast-moving video game. That’s why he has helped the students develop simplified versions of these models. Humidity and vegetation, for example, influence both real fires and those popping up in Current Crisis. 

Piansky’s research is part of Molzahn’s long-term goal: developing computer tools that help professional grid managers improve the grid’s resilience to natural disasters — from pandemics and wildfires to hurricanes, heat waves and floods. 

“We plan to record the choices made by Current Crisis players in crowdsourced datasets that will support our research,” says Molzahn. “By using these datasets to train machine-learning algorithms, we can harness the power of AI to develop better disaster response policies.” (The European Space Agency uses a similar gamification strategy to map moon craters.) 

The project’s benefits go well beyond these research contributions. Its educational value includes experience working in multidisciplinary teams of students at different levels and leadership development. Molzahn also hopes the game will help build public acceptance of disruptive actions during real disasters. 

“Recognizing the tradeoffs inherent in grid management is important, whether it’s understanding why power shutoffs reduce fire risks or why service restorations are time-consuming,” says Molzahn. “This may also generate broader public support for electricity rate increases and tax allocations to pay for infrastructure hardening.”

Written by: Silke Schmidt

EPIcenter will provide a full stipend and tuition for the 2025 summer semester to support the students.

“I look forward to hosting a fantastic cohort of early-career energy scholars this summer,” said Laura Taylor, EPIcenter’s director. “The summer research program will not only help the students advance their research while engaging in interdisciplinary dialogue but also offers professional development opportunities to position them for a strong start to their careers.”

The students will work with EPIcenter staff and be provided with on-campus workshops on written and oral communications. Biweekly meetings over the summer will offer the students an opportunity to share their work, progress, and ideas with each other and the EPIcenter faculty affiliates. In addition, the students will have the opportunity to engage with programs and distinguished guests of the center. 

For students interested in presenting their research at a conference, EPIcenter also will provide travel grants of up to $600 pursuant to having their paper/presentation posted on the EPIcenter website.

"I applied to the Summer Research Program because its structure and community aligned perfectly with my summer plan on dissertation work in energy policy,” said Yifan Liu. “I aim to finalize key dissertation chapters and engage closely with peers and mentors to prepare me for the job market." 

The program offers students an opportunity to promote their work through the EPIcenter communication channels including the website, news feeds, blogs, and the SEI newsletter.

“I am very excited to spend my summer at EPIcenter exploring how battery storage entry affects competition in the electricity market,” said Maghfira “Afi” Ramadhani, one of the student affiliates selected for the summer research program. “Specifically, I look at how the rollout of battery storage in the Texas electricity market impacts renewable curtailment, fossil-fuel generator markup, and generator entry and exit.”

With a variety of backgrounds and perspectives on energy, each of the students in the summer program brings something unique to EPIcenter.

La’Darius Thomas: “My project explores the potential of peer-to-peer energy trading systems in promoting decentralized, sustainable energy solutions. I aim to contribute to the development of energy models that empower individuals and communities to directly participate in electricity markets.”

Niraj Palsule: “I intend to gain interdisciplinary insights interfacing energy transition technology and policy developments by participating in the EPIcenter Summer Research Program.”

John Kim: “I believe the EPIcenter Summer Research Program will deepen my investigation of how environmental hazards disproportionately affect vulnerable communities through research on power outage impacts and lead contamination. This summer, I hope to refine my analysis and complete research on the socioeconomic dimensions of power reliability and environmental resilience.”

Mehmet “Akif” Aglar: "I applied to the EPIcenter Summer Research Program because it offers the chance to work alongside and learn from a community of highly qualified researchers across various fields. I believe the opportunity to present my work, receive feedback, and benefit from the structure the program provides will be invaluable for advancing my research."

About EPICenter

The mission of the Energy Policy and Innovation Center is to conduct rigorous studies and deliver high impact insights that address critical regional, national, and global energy issues from a Southeastern U.S. perspective. EPICenter is pioneering a holistic approach that calls upon multidisciplinary expertise to engage the public on the issues that emerge as the energy transformation unfolds. The center operates within Georgia Tech’s Strategic Energy Institute.

The crowd grew so large that no one could move in the alley, resulting in the deadliest crowd crush in the nation’s history. Nearly 160 people were killed, and another 196 were injured.

Soonho Kwon, a first-year human-centered computing Ph.D. student at Georgia Tech, lived within walking distance of the alley when the incident occurred.

“It was tragic,” Kwon said. “It really makes you think about how life is fragile. Everyone in my community talked about what it would have been like if they were in that alleyway.”

Many of the victims were young people — some of them teens who had no identification on them. Kwon thought about their family members being told their loved ones’ lives had been cut short. He wondered what memories those families would have of the deceased.

The incident inspired Kwon to create a new mobile platform that helps young adults and career professionals create a post-death memorial for their families. The platform, which Kwon and his research collaborators named Timeless, allows users to be remembered how they want to be remembered in the event of their untimely death.

“Most death preparation services are for terminally ill patients or aging adults, focusing on will management or funeral planning,” Kwon said. “We thought such needs may differ for young adults and asked how we could design a system that better caters to their needs.”

Timeless is a photo-based death preparation system that enables users to send a physical package containing pre-curated pictures, voice recordings, and letters to a designated recipient in the event of their passing. 

The system syncs with a user’s mobile photo album and creates a list of scanned faces. Users can select a face and view all the photos they’ve taken with that person. They can choose which photos they want sent to that person after death and write individual messages for each image.

Once the user’s death has been reported, Timeless sends a package to each selected individual with printed photos, letters, and a QR code or a CD that contains videos or voice recordings.

Breaking the Ice

Kwon and his collaborators designed Timeless based on a group study that asked participants to imagine what would happen if they unexpectedly died. The participants were asked what was on their bucket lists, their epitaphs, and what they would wish for if they could make one wish come true.

“Surprisingly, people were happy to participate because we framed it in a way that wasn’t gloomy,” Kwon said. “Many shared that reflecting on their death motivated them to actively express their love and be grateful for what they have. Turning something as heavy as death into something positive was a key design implication.”

Digital vs. Physical

Kwon began his research career examining virtual commemoration systems, including Facebook and Instagram commemoration pages, during the Covid-19 pandemic and exploring how technology can meaningfully memorialize the deceased.

He said two aspects distinguish Timeless from other commemoration platforms: 

• The deceased can decide how and by whom they want to be remembered.
• The fusion of digital memorialization with physical memorialization

“Leveraging only the digital side of it can be superficial,” Kwon said. “We build monuments, statues, and tombstones because the notion of death itself is losing your physical presence. By making it physical, we aimed to connect the discussion on digital legacies to traditional human commemoration forms.”

AI Afterlife

Kwon also said he is aware of artificial intelligence (AI) afterlife. This emerging technology allows people to train an AI agent and produce digital avatars with which family and friends can communicate after they die.

Meredith Ringel Morris, director and principal scientist for human-AI interaction at Google DeepMind, spoke about AI afterlife in October during the Summit on AI, Responsible Computing, and Society hosted by Georgia Tech’s School of Interactive Computing.

In her talk, Morris spoke about the criticism AI afterlife is already facing for causing people to experience extended grief and the inability to move on from losing a loved one.

Kwon said another drawback is that AI agents are susceptible to hallucinations and could say untrue things about the deceased. 

“How can you say for sure that the representation of AI is me?” he said. “As researchers, our role is to explore and critically examine how the emergence of such technology may shape society while striving to ensure its development benefits people.” 

Kwon sees Timeless as a catalyst for meaningful discussions about how a digital legacy curation system may accurately reflect a user’s wishes before death. 

He will present a paper on Timeless's design process and its implications at the 2025 ACM Conference on Human Factors in Computing Systems (CHI) this week in Yokohama, Japan.

Ph.D. candidate Md Abdur Rahaman’s dissertation studies brain data to understand how changes in brain activity shape behavior. 

Computational tools Rahaman developed for his dissertation look for informative patterns between the brain and behavior. Successful tests of his algorithms show promise to help doctors diagnose mental health disorders and design individualized treatment plans for patients.

“I've always been fascinated by the human brain and how it defines who we are,” Rahaman said. 

“The fact that so many people silently suffer from neuropsychiatric disorders, while our understanding of the brain remains limited, inspired me to develop tools that bring greater clarity to this complexity and offer hope through more compassionate, data-driven care.”

Rahaman’s dissertation introduces a framework focusing on granular factoring. This computing technique stratifies brain data into smaller, localized subgroups, making it easier for computers and researchers to study data and find meaningful patterns.

Granular factoring overcomes the challenges of size and heterogeneity in neurological data science. Brain data is obtained from neuroimaging, genomics, behavioral datasets, and other sources. The large size of each source makes it a challenge to study them individually, let alone analyze them simultaneously, to find hidden inferences. 

Rahaman’s research allows researchers and physicians to move past one-size-fits-all approaches. Instead of manually reviewing tests and scans, algorithms look for patterns and biomarkers in the subgroups that otherwise go undetected, especially ones that indicate neuropsychiatric disorders.

“My dissertation advances the frontiers of computational neuroscience by introducing scalable and interpretable models that navigate brain heterogeneity to reveal how neural dynamics shape behavior,” Rahaman said. 

“By uncovering subgroup-specific patterns, this work opens new directions for understanding brain function and enables more precise, personalized approaches to mental health care.”

Rahaman defended his dissertation on April 14, the final step in completing his Ph.D. in computational science and engineering. He will graduate on May 1 at Georgia Tech’s Ph.D. Commencement. 

After walking across the stage at McCamish Pavilion, Rahaman’s next step in his career is to go to Amazon, where he will work in the generative artificial intelligence (AI) field. 

Graduating from Georgia Tech is the summit of an educational trek spanning over a decade. Rahaman hails from Bangladesh where he graduated from Chittagong University of Engineering and Technology in 2013. He attained his master’s from the University of New Mexico in 2019 before starting at Georgia Tech. 

“Munna is an amazingly creative researcher,” said Vince Calhoun, Rahman’s advisor. Calhoun is the founding director of the Translational Research in Neuroimaging and Data Science Center (TReNDS).

TReNDS is a tri-institutional center spanning Georgia Tech, Georgia State University, and Emory University that develops analytic approaches and neuroinformatic tools. The center aims to translate the approaches into biomarkers that address areas of brain health and disease.    

“His work is moving the needle in our ability to leverage multiple sources of complex biological data to improve understanding of neuropsychiatric disorders that have a huge impact on an individual’s livelihood,” said Calhoun.