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.”

To help find answers, researchers at the Institute for Neuroscience, Neurotechnology, and Society (INNS) are using math, data, and AI to unlock the secrets of thought. Together they are helping turn the brain’s raw electrical “noise” into real insights about how people think, move, and perceive the world.

Fair warning: Prepare your neurons for the complexity of this brain research ahead.

Building AI Like a Brain

What if artificial neurons in AI programs were arranged as they are in the brain?

AI programs would then help us understand why the brain is organized the way it is. This neuro-AI synthesis would also work faster, use less energy, and be easier to interpret. Creating such systems is the goal of Apurva Ratan Murty, an assistant professor of Psychology who is creating topographic AI models like the one above of three domains — vision, audition, and language inspired by the brain. In the near future, he predicts doctors might be able to use these patterns to predict the effects of brain lesions and other disorders. “We’re not there yet,” he says. “But our work brings us significantly closer to that future than ever before.”

Computing Thought and Movement

How cats walk keeps Chethan Pandarinath on his toes. This biomedical engineer uses sensors to analyze how two sets of feline leg muscles — flexors and extensors — are controlled by the spinal cord. Understanding how that happens could help patients partially paralyzed from spinal cord injuries, strokes, or progressive neuro-degenerative diseases get back on their feet again. “My lab is using AI tools that allow us to turn complex spinal cord activity data into something we can interpret. It tells us there’s a simple underlying structure behind the complex activity patterns,” says the associate professor.

Revealing the Brain’s Spike Patterns

“The brain is like a symphony conductor,” says Simon Sponberg. “Individual instruments have some independent control, but most of the music comes from the brain’s precise coordination of notes among the different players in the body.” This physics professor studies the fantastically fast-beating wings of the hummingbird-sized hawk moth (Manduca sexta). Its agile flight movement comes as a result of spikes in electrical activity in 10 muscles. Sponberg found something that surprised him — the brain focuses less on creating the number of spikes than in orchestrating their precise patterns over time. To Sponberg, every millisecond matters. “We are just beginning to understand how the nervous system first acquires precisely timed spiking patterns during development,” he says.

Predicting Decisions Through Statistics

Put a mouse in a maze with food far away, and it will learn to find it. But life for mice — and people — isn’t so simple. Sometimes they want to explore, only want water, or just want to go home. What’s more, animals make decisions based on their history, not just on how they feel at the moment. To dig deeper into the decision-making process, Anqi Wu, an assistant professor in the School of Computational Science and Engineering, is giving mice more options. By using a new computational framework called SWIRL (Switching Inverse Reinforcement Learning), her findings have outperformed models that fail to take historical behavior into account. “We’re seeking to understand not only animal behavior but also human behavior to gain insight into the human decision-making process over a long period of time,” she says.

Modeling the Mind’s Wiring With Math

Connectivity shapes cognition in the cerebral cortex, a layered structure in the brain. The visual cortex, in particular, processes visual data from the retina relayed through the Lateral Geniculate Nucleus (LGN) in the thalamus, and directs it to the correct cognitive domain in the brain. How it does this is the mystery that computational neuroscientist Hannah Choi wants to solve. “The big question I’m interested in is how network connectivity patterns in the architecture of the LGN are related to computations,” says this assistant math professor. To find answers, she shows mice repeated image patterns such as flower-cat-dog-house and then disrupts the pattern. The goal? To grasp how the thalamus’s nonlinear dynamical system works. If scientists and doctors better understand how brain regions are wired together, such knowledge could lead to better disease treatment.

This story was originally published through the Georgia Tech Alumni Magazine. Read the original publication here.

Today, he is the chief executive officer of Andson Biotech, a growing biotools startup he co-founded with Andrei Fedorov, associate chair for graduate studies and the Rae S. and Frank H. Neely Chair at the George W. Woodruff School of Mechanical Engineering. The company is commercializing a breakthrough technology Chilmonczyk developed during his doctoral research that simplifies the development and production of cell and gene therapies.

Read the full story on the George W. Woodruff School of Mechanical Engineering website.

“A small vial of genetically engineered cells can contain multiple millions of dollars’ worth of intellectual property and require several years of work to develop,” said Corey Wilson, a professor in Georgia Tech’s School of Chemical and Biomolecular Engineering (ChBE). “Accordingly, the protection of high-value engineered cell lines has become critically important to the biotechnology industry.”

Wilson and his research team have published their findings in Science Advances demonstrating the effectiveness of their new biological security technology, known as GeneLock™, in protecting high-value engineered cell lines.

GeneLock is a cybersecurity-inspired technology that protects valuable genetic material directly at the DNA level. To demonstrate its strength, Wilson’s team conducted what they describe as a first-of-its-kind biohackathon, detailed in the new paper, to simulate unauthorized access. 

“GeneLock greatly improves our ability to protect high-value engineered cell lines by expanding security from the lab environment to the genetic level,” Wilson said.

Economic Impact

What are the stakes? Estimates place the global market for high-value genetic materials at more than $1.5 trillion, projected to reach $8 trillion by 2035. The use of these materials ranges from advanced medicines and proprietary research enzymes to specialty chemicals and sustainable materials.

Currently, the protection of high-value cell lines depends on physical safeguards such as restricted lab access and secure facilities, Wilson explained.

“The key weakness of physical security measures is once circumvented, there are typically no measures in place to protect valuable cells from theft, abuse, or unauthorized use,” Wilson said. 

“Once a sample leaves the building, the DNA it carries typically remains fully functional. This is like placing an unlocked cellphone in a desk drawer. Anyone who gains access to the drawer can view sensitive content on the phone­­­­­­­—or in this case will have full access to the valuable cell line.”

Genetic Passcode Protection

The GeneLock biological security technology developed by Wilson and his team places a passcode on engineered cells, akin to those used on ATM machines and protected cellphones.

Instead of leaving a valuable gene in readable form, the team scrambles the DNA sequence of interest. The scrambled genetic asset remains in a nonfunctional state unless the living cell where it resides receives the correct sequence of chemical inputs. Those inputs act as a molecular passcode.

“Only the right combination, delivered in the right order, rearranges the DNA into a working form,” Wilson said.

Biohackathon Security Test

To evaluate the technology, the researchers organized a blue team and a red team in what they describe as an ethical biohackathon. The blue team designed the encrypted DNA sequence, while the red team was challenged to discover the correct chemical passcode through experimentation in a gray box exercise, meaning the red team had partial knowledge of the system but did not have access to the internal designs. 

“This approach for testing security strength is commonly used in cybersecurity,” Wilson explained. 

The blue team engineered the system inside Escherichia coli, or E. coli, a bacterium widely used in biotechnology. The protected asset was a fluorescent protein gene selected as a measurable stand-in for commercially valuable targets. When the correct chemical sequence was applied, the fluorescence turned on. Without the correct passcode, the gene remained scrambled and the cells could not fluoresce green. 

“In practice, most DNA sequences produce valuable proteins or chemicals that are essentially invisible to the human eye, requiring specialized devices or experiments to observe,” Wilson said. “If the biohackathon were conducted with a standard commercially valuable target, the penetration testing would have taken more than 10 times longer to complete, years instead of months.”

The biohackathon results showed a dramatic reduction in risk. GeneLock reduced the probability of unlocking the genetic asset by random search to about 1 in 85,000 (a 0.001% chance), assuming the unauthorized user had access to the required chemical inputs.

Without access to those inputs, “the likelihood of success by chance becomes effectively negligible,” said Dowan Kim (Georgia Tech PhD 2024), co-lead author of the study.

Commercial Uses and What’s Next 

Although the researchers used a non-commercial fluorescent protein as a test case, the implications extend much further. Many biotechnology companies rely on proprietary engineered strains. New England Biolabs, for example, produces more than 265 non-disclosed enzymes in E. coli, each representing a high-value cell line. 

Protein-based drugs are also manufactured in living cells, and proprietary metabolic pathways are used to produce specialty chemicals, bioplastics, and high-value ingredients. 

“In each case, the genetic blueprint inside the cell represents intellectual property that can be protected by our technology,” said Ishita Kumar, a PhD candidate in ChBE and co-lead author of the study.

While the team’s current focus is on protecting intellectual property in the form of high-value cells, future iterations aim to strengthen biological security more broadly. 

“We are currently developing protection measures to mitigate unauthorized use or release of sensitive cell lines that can be potentially hazardous to human health or the environment,” Wilson said.

“As it stands, GeneLock represents an important shift in biological security, enabling, for the first time, protection of valuable cells at the genetic level, even after physical security measures have been bypassed,” he added. 

The work is already moving toward commercialization. The team filed a provisional patent application with the U.S. Patent and Trademark Office in February 2026 and is forming a company to deploy the technology.

CITATION:

Dowan Kim, Ishita Kumar, Mohamed Hassan, Luisa F. Barraza-Vergara, Christopher A. Voigt, and Corey J. Wilson, “Protecting cells at the genetic level and simulating unauthorized access via a biohackathon,” Science Advances, 2026.

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.

The two‑day event took place Feb. 4 – 5, coinciding with the Critical Minerals Ministerial hosted by U.S. Secretary of State Marco Rubio in Washington, D.C., on Feb. 4, which brought together more than 50 nations to strengthen and diversify global critical mineral supply chains. During this ministerial, U.K. Minister Seema Malhotra and U.S. Under Secretary of State Jacob Helberg signed a Critical Minerals Memorandum of Understanding, strengthening bilateral cooperation between the United States and the United Kingdom on critical mineral supply chains. 

These broad efforts are supported by White House Executive Order 14363, which defines the Genesis Mission and aims to accelerate scientific discovery through AI. The order identifies critical minerals supply chain resilience as a national security imperative.

In Atlanta, these themes were brought to life in real time. The GEMs-4 workshop brought together researchers, policymakers, national labs, industry leaders, and workforce organizations from both the U.S. and the U.K. to address shared challenges in technology translation, permitting, investment, and talent development. 

The state of Georgia’s integrated ecosystem, linking research universities, legacy industries, technical colleges, national labs, and public‑private partnerships, served as a case study. Presenters highlighted how existing industrial assets in the Southeast are being incorporated into emerging clean energy and critical minerals supply chains, offering a model for other regions seeking to build capabilities around extraction, processing, and manufacturing.

A U.K. member of Parliament representing Cornwall, where the U.K. has lithium reserves and deep critical mineral expertise, joined the convening, as well as representatives from the U.K. Critical Mineral Association, Camborne School of Mines, and the University of Kent. Together, they explored opportunities and challenges, from a fundamental science to a commercialization perspective grounded in real-world experience. 

The alignment between the ministerial in Washington and the expertise present in Atlanta demonstrated the value of state-level engagement and how national agreements translate into practical collaboration on the ground. 

“The Southeast has the research depth, industrial footprint, and collaborative spirit needed to lead in critical minerals innovation,” said Yuanzhi Tang, Georgia Power Professor in the School of Earth and Atmospheric Sciences, executive director of the Strategic Energy Institute, and founding director of the Center for Critical Mineral Solutions at Georgia Tech. “GEMs‑4 showed what’s possible when universities, industry, and government partners align around shared priorities.” 

Day one featured strategic dialogue on critical mineral resources, innovation pathways, and partnership models. A recurring theme was the co-production of critical minerals alongside major mineral commodities. “Many critical minerals are produced as byproducts of larger mining operations, making it essential to integrate recovery strategies into existing mineral industries rather than developing entirely new extraction systems,” noted Crawford Elliott, professor of geosciences at Georgia State University.

Day two transitioned to field‑based learning, led by Paul Schroeder, professor of geology at the University of Georgia. Participants visited active operations to better understand how regional industrial strengths can support national and international supply chain goals. Schroeder said, “Connecting people to the long-standing mineral extraction economy at the mining and plant sites, where the work gets done with an amazingly skilled workforce, underscores the unique role of Georgia’s place‑based capacity in advancing national and transatlantic supply chain goals.”

Organizers emphasized that resilient supply chains rely on regional capabilities built over time through university collaboration, industry partnerships, and community engagement. With three years of inter‑university coordination now underpinning the GEMS platform, the 2026 workshop demonstrated how the Southeast is contributing actionable models for U.S.-U.K. cooperation.

“Ecosystem-building at this scale requires participation from every part of the value chain, and we are encouraged by the model GEMs presents,” said Rachel Galloway, Consul General at British Consulate General Atlanta. “The collaboration across universities, industry, and government is exactly what enables long‑term impact on both sides of the Atlantic.”

Through focused dialogue and partnership-building, the symposium strengthened transatlantic collaboration, highlighted regional strengths, and accelerated innovation and translation across the critical minerals value chain, from resource characterization and processing to recycling, manufacturing, and deployment.

For more information about the GEMS initiative, visit: https://gems.research.gatech.edu/.

Artificial intelligence has been touted as the most transformative technology of our time. With only a few years of mainstream use, it’s changed how we work and communicate, generated billions of dollars in investments, and sparked global debate. But according to leading neuroethics expert Karen Rommelfanger, the race isn’t over yet. 

“Can you think of a more transformative technology than one that intervenes with the fundamental organ that drives your experience in the world?” 

That fundamental organ is the brain.  

Technologies interfacing directly with the brain have been reserved for treating severe injury or disease for decades. Now, neurotechnology is expanding into brain-responsive wearables meant to enhance, augment, and monitor everyday life. As these technologies accelerate and AI is incorporated, the question is no longer if neurotechnology will transform society, but how — and who will shape the boundaries. 

These are some of the questions on which Karen Rommelfanger has built her career. Trained as a biomedical researcher and neuroscientist, Rommelfanger went on to found the Institute for Neuroethics, the world’s first think and do tank devoted entirely to neuroethics, public engagement, and policy implementation.  

“The brain is special; it’s central to who we are,” says Rommelfanger, who was also an inaugural recipient of the Dana Foundation Neuroscience and Society Award. “And that means when you intervene with the brain, there are unique responsibilities. The field of neuroethics addresses things like: How do you ensure mental privacy? How do you protect free will? How do you ensure that people have the power to be narrators of their own lives and their cognitive experience?” 

Now, Rommelfanger is joining Georgia Tech’s Institute for Neuroscience, Neurotechnology, and Society (INNS) as a professor of the practice, where she will work to further embed neuroethics into Georgia Tech’s research and technology development ecosystem. 

“Georgia Tech is producing the next generation of neurotechnologists, and Karen’s expertise will help ensure we’re preparing them to think about societal impact as deeply as they think about the technical and scientific aspects of their work,” says Christopher Rozell, executive director of INNS. “Her leadership strengthens the Institute in exactly the way this moment in neurotechnology demands.”  

“Georgia Tech has many, many ways that it leads in the technology ecosystem. But one of the powerful, unique ways it can lead is through neurotechnology,” says Rommelfanger. “I hope that the INNS, given its unique mandate for neuroscience, neurotechnology, and society, can be a lighthouse for these types of conversations.” 

Neuroethics by Design 

Read the full story. »

As during previous editions, this year’s conference featured more than two dozen scientists, engineers, policy experts, and thought leaders from Georgia Tech and beyond, illustrating how collaboration across fields – from science and engineering to public policy and international affairs – helps to advance strategic research priorities. 

“Frontiers is about discovery and connections across disciplines and generations,” says Susan Lozier, dean of the College of Sciences and Betsy Middleton and John Clark Sutherland Chair. “This edition provided an inspiring glimpse into the future of space exploration and the many ways Georgia Tech is contributing to research and missions seeking answers to what lies beyond our planet.” 

Commitment to Space

Space research is a key institutional priority at Georgia Tech, which is home to numerous academic and research programs in planetary sciences, robotics, mission design, space policy, and other areas. 

The recently established Space Research Institute (SRI) serves as the central hub connecting the broad range of space-related research across campus. Led by Jud Ready, who also serves as principal research engineer at the Georgia Tech Research Institute, SRI has expanded support for space research and commercialization through initiatives such as the CreationsVC Space Fellows Program and Centers, Programs, and Initiatives seed grant program.

SRI’s efforts are in line with Georgia Tech’s long-standing contribution to space exploration. Hundreds of Yellow Jacket alumni work in the space sector, including several graduates who are playing key roles in the Artemis program. To date, more than a dozen Georgia Tech alumni have traveled to space.

Exploring the Final Frontier

The conference featured a series of panels and discussions led by faculty and researchers from the Colleges of Sciences and Engineering as well as the Ivan Allen College of Liberal Arts. 

Sessions explored how researchers are studying the processes and conditions that support planetary habitability, seeking to answer one of humanity’s greatest questions: Does life exist beyond Earth? Speakers also examined how analog fieldwork in Earth’s extreme environments can inform space exploration, and how space research, in turn, can deepen our understanding of our own world.

Additional conversations centered on building better space missions through improved understanding of team and individual resilience, data collection, navigation, and the development of advanced technologies like the robots developed through the NASA LASSIE Project. 

Frontiers also highlighted Georgia Tech’s commitment to preparing the next generation of space scientists, engineers, and leaders. Student training and engagement were recurring themes throughout the day, with speakers emphasizing opportunities for student-led and student-run missions and research. A panel of Georgia Tech alumni shared their own STEM career journeys, challenging the idea of “one right path” to success — and acknowledging the resources and opportunities available at the Institute. 

A highlight of the conference was a fireside chat with Atlanta-native, retired U.S. Army Colonel and NASA Astronaut R. Shane Kimbrough (M.S. Operations Research 1998). Kimbrough, who spent a total of 388 days in space and performed nine spacewalks across three missions, reflected on his career and the evolution of spaceflight. He emphasized the expanding role of public-private and international partnerships in advancing ambitious goals, such as creating a permanent human outpost on the Moon. 

Policy and Public

The conference also explored how policy influences space discovery and innovation, with discussions touching on such issues as space security, access, governance, sustainability — and the influence of technology and science fiction on public perception and policy. 

Panelists described current policy frameworks governing outer space as struggling to keep pace with rapidly advancing technologies and expanding activities. According to these experts, increasing tensions among commercial, research, and recreational uses of space call for greater coordination among private and government entities to balance competing priorities while maximizing opportunities for innovation and exploration. 

The conference was punctuated by a networking lunch connecting attendees with Atlanta’s public astronomy community – including partners at several universities and the Georgia Tech Astronomy Club, which set up telescopes for attendees to safely observe the sun. Later that evening, the Georgia Tech Observatory hosted its Public Night, welcoming the broader Atlanta community to campus for telescope views of Jupiter, the Orion Nebula, and other celestial bodies. 

The Observatory Night was a fitting conclusion to a full day focused on Georgia Tech’s commitment and contributions to inspiring future generations of space explorers through research, education, and outreach. 

Experience the Frontiers conference in pictures on the College of Sciences’ Flickr account.

A research team led by Yuhang Hu, associate professor in the George W. Woodruff School of Mechanical Engineering and the School of Chemical and Biomolecular Engineering, has created a new material designed to do exactly that. In a new study published in Advanced Materials, Hu and her collaborators describe a groundbreaking class of “living” polymers that can grow, shrink, heal, and even regenerate long after fabrication.

Their work combines advances in chemistry, mechanics, and materials design into a polymer platform that could reshape how engineered products are built, maintained, and recycled.

Read the full story on the George W. Woodruff School of Mechanical Engineering website.

A team of researchers led by Ankur Singh, the Carl Ring Family Professor in the George W. Woodruff School of Mechanical Engineering and professor in the Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech and Emory University, has been awarded up to $6 million from the Defense Threat Reduction Agency (DTRA) of the U.S. Department of Defense to accelerate the development of medical countermeasures (MCMs) against deadly biological threats that endanger public health, national security, and warfighters.

DTRA’s mission is to provide solutions that enable the Department of Defense, the U.S. government, and international partners to deter strategic threats. A key priority is advancing new or improved MCMs that can be deployed before or after exposure to biological or chemical agents.

Singh’s multi-year project, Systematic Human Immune Engineering for Lethal Disease (SHIELD) Countermeasures, aims to create a threat-agnostic platform that transforms how respiratory pathogens and toxins are studied. The platform is designed to speed up the discovery, development, and production of immune-based countermeasures.

Read the full story on the George W. Woodruff School of Mechanical Engineering website.

The award, named for the Iowa-based nonprofit’s founder, recognizes midcareer scientists and engineers for research impact, mentoring, scientific-community activities, and commitment to communicating science and technology. It will be formally presented to Erickson in May on the Georgia Tech campus.

Read the full story on the George W. Woodruff School of Mechanical Engineering website.

“Attending the 75th Lindau Nobel Laureate Meeting is both an honor and a responsibility: a chance to represent my academic community which focuses on the study of elusive particles called neutrinos while learning from those who have shaped the field,” says Papadopoulou, who will join Georgia Tech as a School of Physics assistant professor in August 2026. “I hope to come away with a deeper understanding of how transformative ideas emerge and how to cultivate the kind of leadership and vision needed to guide future large-scale scientific efforts that will unravel some of the mysteries of the universe.”

Papadopoulou obtained her Ph.D. in experimental physics from the Massachusetts Institute of Technology. As part of her research, she analyzed neutrino data collected by the MicroBooNE detector at Fermi National Accelerator Laboratory in Illinois and electron scattering data from the Jefferson Lab in Virginia. 

In 2022, she joined Argonne National Laboratory as a Maria Goeppert Mayer Fellow, continuing her research as a member of the MicroBooNE, Short-Baseline Near Detector, Deep Underground Neutrino Experiment, and Jefferson Lab’s Electrons-For-Neutrinos collaborations. Her work focuses on testing the performance of simulation predictions against existing and new neutrino and electron data sets. 

Papadopoulou currently serves as a J. Robert Oppenheimer Fellow at Los Alamos National Laboratory where she is working to better understand neutrino interactions.

TokenSmith is a citation-supported large language model (LLM) tutor that can be hosted locally on a user’s personal computer. The tutor only provides answers based on course materials, such as the textbook or lecture slides.  

Associate Professor Joy Arulraj began the project with support from the Bill Kent Family Foundation AI in Higher Education Faculty Fellowship last year. The fellowship, led by Georgia Tech’s Center for 21st Century Universities, supports faculty projects exploring innovative and ethical uses of AI in teaching.   

Arulraj has enlisted assistant professors Kexin Rong and Steve Mussmann to help build TokenSmith.  

Mussmann said TokenSmith is a synergistic blend of a database system and a machine learning system. The model stores textbooks, textbook annotations by course staff, common questions and answers, a learning state of the student, and student feedback in a structured database system. However, machine learning plays a key role in the answer generation as well as adapting the system to the student, course staff guidance, and user feedback.

"What excites me most is demonstrating how data-driven ML and principled database systems design can reinforce each other — one providing adaptability and flexibility, the other providing structure and traceability — in a way that benefits students," Mussmann said.

Keeping the model local has been an important focus of the project. The team wanted to create an AI tutor that helps students learn from their class resources rather than just giving answers. With each response, TokenSmith cites the origin of the answer in the provided documents.  

“One problem with LLMs is that they can hallucinate and provide wrong answers, but in this controlled environment, we can add these guardrails to make sure it’s actually helpful in an educational setting,” Rong said.  

Rong said she feels that students often undervalue textbooks, and she hopes TokenSmith can motivate students to make better use of them.  

“Textbooks can sometimes be daunting, but maybe if we combine them with the model, students might be more willing to read a paragraph or page in the textbook, and that could help clarify something for them,” she said.  

Running the model locally is more cost-effective and helps preserve the user’s privacy. But running the new tool locally comes with technical challenges.  

One challenge with creating the model is speed. Since it is a locally based model, TokenSmith depends solely on the user’s computer memory.  Tests have also shown that the tutor currently struggles to answer more complex questions. 

“We are interested in pushing the boundaries of these local models so that they give students good answers and also run fast enough to keep students engaged,” Arulraj said.  

The new study is the first to visualize mosquito flight patterns and provides hard data for improving capture and control strategies. In addition to being a nuisance, mosquitoes transmit diseases such as malaria, yellow fever, and Zika, which cause more than 700,000 deaths every year.

“It’s like a crowded bar,” said David Hu, a professor in Georgia Tech’s George W. Woodruff School of Mechanical Engineering and the School of Biological Sciences, with an adjunct appointment in the School of Physics. “Customers aren’t there because they followed each other into the bar. They’re attracted by the same cues: drinks, music, and the atmosphere. The same is true of mosquitoes. Rather than following the leader, the insect follows the signals and happens to arrive at the same spot as the others. They’re good copies of each other.”

Read more and watch: 
Georgia Tech College of Engineering newsroom and The Conversation

ISyE researchers are applying AI to complex manufacturing environments, including multistage production systems, asset management, quality improvement, and human‑centered manufacturing. Faculty leaders emphasize the importance of contextualizing large volumes of manufacturing data so AI can support reliable decision‑making, efficient operations, and sustainable outcomes. At the same time, the initiative acknowledges challenges such as data integration, system complexity, and the need to balance automation with human involvement. Together, these efforts position ISyE at the forefront of shaping AI‑powered manufacturing systems that are innovative, resilient, and socially responsible.

Read the full article in ISyE Magazine 

The paper examines various strategies for enhancing the flexibility of data center energy use. One approach is to use backup power systems, such as uninterruptible power supplies, to support the grid during emergencies. Another method involves rerouting computing jobs to different data centers in other locations to balance energy demand. The authors also discuss implementing smart scheduling techniques that shift workloads to off-peak hours, reducing strain on the grid. Additionally, they highlight adjusting processor speeds by lowering CPU (central processing unit) and GPU (graphics processing unit) clock rates to limit power consumption when needed. Finally, the paper suggests pre-cooling data center equipment to limit the energy required for cooling during peak demand periods. Notably, experimental evidence shows that underclocking GPUs can cut power consumption by 40% with only a 22% performance loss, suggesting technical feasibility for demand-response interventions.

Despite these technical options, the authors find that real-world cost considerations and reliability concerns limit widespread adoption. Data center operators generally do not change their behavior in response to electricity prices, as job revenue far outweighs energy costs under normal conditions. For example, a GPU rented at $2 per hour consumes only $0.04 worth of electricity at average prices, making curtailment unattractive except during extreme price spikes. Surveys indicate that operators are reluctant to compromise reliability or deploy backup systems for ancillary services. Consequently, price-based incentives alone are unlikely to drive meaningful flexibility.

Read more on the EPIcenter Webpage
Listen to a podcast on the research here

That’s one of the main findings from a study by AI Caring on what older adults expect from explainable AI (XAI).

AI Caring is one of three AI Institutions led by Georgia Tech and funded by the National Science Foundation (NSF). The institution supports AI research that benefits older adults and their caregivers.

Niharika Mathur, a Ph.D. candidate in the School of Interactive Computing, was the lead author of a paper based on the study. The paper will be presented in April at the 2026 ACM Conference on Human Factors in Computing Systems (CHI) in Barcelona.

Mathur worked with the Cognitive Empowerment Program at Emory University to interview 23 older adults who live alone and use voice-activated AI assistants like Amazon’s Alexa and Google Home.

Many of them told her they feel excluded from the design of these products.

“The assumption is that all people want interactions the same way and across all kinds of situations, but that isn’t true,” Mathur said. “How older people use AI and what they want from it are different from what younger people prefer.”

One example she gave is that young people tend to be informal when talking with AI. Older people, on the other hand, talk to the agent like they would a person.

“If Older adults are talking to their family members about Alexa, they usually refer to Alexa as ‘she’ instead of ‘it,’” Mathur said. “They tend to humanize these systems a lot more than young people.”

Good Explanations

The study evaluated AI explanations that drew information from four sources of data:

• User history (past conversations with the agent)
• Environmental data (indoor temperature or the weather forecast)
• Activity data (how much time a user spends in different areas of the home)
• Internal reasoning (mathematical probabilities and likely outcomes)

Mathur said older users trust the agent more when it bases its explanations on data from the first three sources. However, internal reasoning creates skepticism.

Internal reasoning means the AI doesn’t have enough data from the other sources to give an explanation. It provides a percentage to reflect its confidence based on what it knows.

“The overwhelming response was negative toward confidence scores,” Mathur said. “If the AI says it’s 92% confident, older adults want to know what that’s based on.”

This is another example that Mathur said points to generational preferences.

“There’s a lot of explainable AI research that shows younger people like to see numbers in explanations, and they also tend to rely too much on explanations that contain numerical confidence. Older adults are the opposite. It makes them trust it less.”

Knowing the Context

Mathur said that AI agents interacting with older adults should serve a dual purpose. They should provide users with companionship and support independence while reducing the caretaking burden often placed on family members. 

Some studies have shown that engineers have tended to favor caretakers in the design of these tools. They prioritize daily tasks and routines, leaving some older adults to feel like they are merely a box to be checked.

She discovered that in urgent situations, older users prefer the AI to be straightforward, while in casual settings, they desire more conversation.

“How people interact with technological systems is grounded in what the stakes of the situation are,” she said. “If it had anything to do with their immediate sense of safety, they did not want conversational elaboration. They want the AI to be very direct and factual.”

Not Just Checking Boxes

Mathur said AI agents that interact with older adults are ideally constructed with a dual purpose. They should provide companionship and autonomy for the users while alleviating the burden of caretaking that is often placed on their family members. 

Some studies have shown that engineers have strayed toward favoring caretakers in the design of these tools. They prioritize daily tasks and routines, leaving some older adults to feel like they are a box to be checked.

“They’re not being thought of as consumers,” Mathur said. “A lot of products are being made for them but not with them.”

She also said psychological well-being is one of the most important outcomes these tools should produce. 

Showing older adults that they are listened to can significantly help in gaining their trust. Some interviewees told Mathur they want agents who are deliberate about understanding their preferences and don’t dismiss their questions.

Meeting these needs reduces the likelihood of protesting and creating conflict with family members.

“It highlights just how important well-designed explanations are,” she said. “We must go beyond a transparency checklist.”

As new data centers continue to be built and proposed in Georgia, counties and municipalities across the state are considering how to guide this growth. EPIcenter’s data center dashboard provides policymakers, planners, researchers, and community stakeholders with a centralized resource to better understand how data center regulations are being developed and applied across Georgia and the U.S.

“Our Data Center Hub provides Georgia communities with a one-stop shop to understand how their neighbors are managing land-use regulations for data centers,” said Laura Taylor, director of EPIcenter. “It brings together clear, accessible information to help jurisdictions plan when data center growth occurs in their area.”

The dashboard is organized around five thematic areas commonly addressed in data center land-use regulations: Site Planning and Building Design, Infrastructure and Utilities, Environmental and Community Protections, Public Safety and Security, and Lifecycle Governance. Within each theme, users can explore specific regulatory topics and access the relevant ordinances enacted by Georgia communities.

To build the dashboard, EPIcenter researchers conducted a comprehensive review of municipal codes across the state.

“We reviewed municipal codes for about 180 cities and counties across Georgia and identified ordinances that specifically address data center development,” said Yang You, EPIcenter’s research associate who developed the project. “In total, we found 19 data center-specific topics that ordinances tend to cover. We analyzed ordinances across jurisdictions and organized their ordinance provisions into topics such as building placement, setbacks, infrastructure, and environmental considerations to make it easier to compare how different jurisdictions regulate data centers.”

You added that the dashboard also incorporates examples from outside of Georgia. By gathering ordinances from other states and pairing them with Georgia-specific examples, EPIcenter aims to provide a clear framework to help communities efficiently address data center land-use regulation.

The Georgia Data Center Ordinance Hub is available through the Energy Policy and Innovation Center website.

That support, however, begins to disappear in these restrictive cultures once women reach menopause, according to new research from Georgia Tech

Naveena Karusala, an assistant professor in Georgia Tech’s School of Interactive Computing, and master’s student Umme Ammara are working toward improving existing technologies and designing new ones for a demographic they believe has been neglected.

Karusala and Ammara co-authored a paper based on a study they conducted with women in urban Pakistan experiencing menopause.

“Women’s health is understudied in general, but menopause is more neglected than other women’s health issues,” Karusala said. “Our choice to focus on menopause is motivated by expanding how we holistically think about women’s well-being across their lifespan.”

Karusala and Ammara will present their paper in April at the 2026 ACM Conference on Human Factors in Computing Systems (CHI) in Barcelona.

Masking Symptoms

Menopause is diagnosed after 12 consecutive months without a period, vaginal bleeding, or spotting. The transition to menopause, called perimenopause, usually happens over two to eight years.

Hormone changes may cause symptoms such as irregular periods, vaginal dryness, hot flashes, night sweats, trouble sleeping, mood swings, and brain fog.

These symptoms can be debilitating in some cases and affect daily life. However, Ammara said women are pressured to remain silent, maintain appearances, and regulate their emotions to meet social expectations.

“Understanding menopause is important because a woman would be experiencing all these symptoms, and people will not understand those as actual symptoms,” Ammara said. “There’s been resistance to the idea of the medicalization of menopause. People don’t view it as an illness, but as a life transition and something that happens naturally.”

Feeling Isolated

The women interviewed by Karusala and Ammara either stayed at home full-time or were part of the workforce.

The researchers discovered that trusted family members might be the only sources women who stay at home and do not work turn to for disclosure. 

“Women at home have the flexibility to take breaks or work at their own pace, so a lot of their experience is shaped by the emotional barriers they face,” Ammara said. 

“That could come from their husbands and family members. Some are supportive and some are not. They might weaponize it and use that term against them, or they might dismiss what they’re going through.”

Ammara said it might be easier for women in the workforce to confide in their coworkers, but explaining to an employer that they need sick leave for menopause symptoms can be intimidating.

Even in online communities that have enabled women to anonymously share their health experiences, menopause is seldom discussed.

Raising Awareness

Karusala and Ammara argue in their paper that a public health approach could be the most effective way to spark conversation about menopause in a patriarchal culture in which technology use varies.

They said the challenge in implementing technologies geared toward menopause support is that the condition isn’t well understood in public. Improving maternal health, for example, is easier to promote within these societies because of the general understanding that motherhood is important.

“There must be an existing infrastructure to build on,” Karusala said. “For example, menstrual and maternal health are taught in schools and regularly discussed in primary care. Cultural and social meaning and importance are placed on motherhood.

“A lot of that doesn’t exist for menopause. Primary care doctors are unprepared to talk about menopause compared to other health issues.”

Design Solutions

Ammara said that the most effective way for technologies to make an impact on women going through menopause is to directly address systemic power structures around women’s health within Pakistani culture.

It can start with the husbands. 

“Framing the issue for husbands to understand menopause should be at the forefront of designing technology solutions,” she said. 

“In Islamic contexts, we suggest using faith-based framings. This has been proposed for maternal health in prior works that draw on Islamic principles to engage expectant fathers in providing care and support. Framing it around religious responsibility to involve men in the journey can also be done for menopause.”

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 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.

Indoor farms, also known as vertical farms, are popular among agricultural researchers and are expanding across the agricultural industry. Some benefits they have over outdoor farms include:

• Year-round production of food crops
• Less water and land requirements
• Not needing pesticides
• Reducing carbon emissions from shipping
• Reducing food waste

Additionally, some studies indicate that indoor farms produce more nutritious food for urban communities. 

However, these farms are often inaccessible to birds, bees, and other natural pollinators, leaving the pollination process to humans. The tedious process must be completed by hand for each flower to ensure the indoor crop flourishes.

Ai-Ping Hu, a principal research engineer at the Georgia Tech Research Institute (GTRI), has spent years exploring methods to efficiently pollinate flowering plants and food crops in indoor farms to find a way to efficiently pollinate flower plants and food crops in indoor farms.

Hu, Assistant Professor Shreyas Kousik of the George W. Woodruff School of Mechanical Engineering, and a rotating group of student interns have developed a robot prototype that may be up to the task.

The robot can efficiently pollinate plants that have both male and female reproductive parts. These plants only require pollen to be transferred from one part to the other rather than externally from another flower.

Natural pollinators perform this task outdoors, but Hu said indoor farmers often use a paintbrush or electric tootbrush to ensure these flowers are pollinated. 

Knowing the Pose

An early challenge the research team addressed was teaching the robot to identify the “pose” of each flower. Pose refers to a flower’s orientation, shape, and symmetry. Knowing these details ensures precise delivery of the pollen to maximize reproductive success. 

“It’s crucial to know exactly which way the flowers are facing,” Hu said.

“You want to approach the flower from the front because that’s where all the biological structures are. Knowing the pose tells you where the stem is. Our device grasps the stem and shakes it to dislodge the pollen.

“Every flower is going to have its own pose, and you need to know what that is within at least 10 degrees.”

Computer Vision Breakthrough

Harsh Muriki is a robotics master’s student at Georgia Tech’s School of Interactive Computing, who used computer vision to solve the pose problem while interning for Hu and GTRI.

Muriki attached a camera to a FarmBot to capture images of strawberry plants from dozens of angles in a small garden in front of Georgia Tech’s Food Processing Technology Building. The FarmBot is an XYZ-axis robot that waters and sprays pesticides on outdoor gardens, though it is not capable of pollination.

“We reconstruct the images of the flower into a 3D model and use a technique that converts the 3D model into multiple 2D images with depth information,” Muriki said. “This enables us to send them to object detectors.”

Muriki said he used a real-time object detection system called YOLO (You Only Look Once) to classify objects. YOLO is known for identifying and classifying objects in a single pass.

Ved Sengupta, a computer engineering major who interned with Muriki, fine-tuned the algorithms that converted 3D images into 2D.

“This was a crucial part of making robot pollination possible,” Sengupta said. “There is a big gap between 3D and 2D image processing.

“There’s not a lot of data on the internet for 3D object detection, but there’s a ton for 2D. We were able to get great results from the converted images, and I think any sector of technology can take advantage of that.”

Sengupta, Muriki, and Hu co-authored a paper about their work that was accepted to the 2025 International Conference on Robotics and Automation (ICRA) in Atlanta.

Measuring Success

The pollination robot, built in Kousik’s Safe Robotics Lab, is now in the prototype phase. 

Hu said the robot can do more than pollinate. It can also analyze each flower to determine how well it was pollinated and whether the chances for reproduction are high.

“It has an additional capability of microscopic inspection,” Hu said. “It’s the first device we know of that provides visual feedback on how well a flower was pollinated.”

For more information about the robot, visit the Safe Robotics Lab project page.

Georgia Tech’s Qi Tang is building machine learning (ML) models to accelerate nuclear fusion research, making it more affordable and more accurate. Backed by a grant from the U.S. Department of Energy (DOE), Tang’s work brings clean, sustainable energy closer to reality.

Tang has received an Early Career Research Program (ECRP) award from the DOE Office of Science. The grant supports Tang with $875,000 disbursed over five years to craft ML and data processing tools that help scientists analyze massive datasets from nuclear experiments and simulations.

Tang is the first faculty member from Georgia Tech’s College of Computing and School of Computational Science and Engineering (CSE) to receive the ECRP. He is the seventh Georgia Tech researcher to earn the award and the only GT awardee among this year’s 99 recipients.

More than a milestone, the award reflects a shift in how nuclear research is done. Today, progress depends on computing and data science as much as on physics and engineering.

“I am honored and excited to receive the ECRP award through DOE’s Advanced Scientific Computing Research program, an organization I care about deeply,” said Tang, an assistant professor in the School of CSE. 

“I am grateful to my former colleagues at Los Alamos National Laboratory and collaborators at other national laboratories, including Lawrence Livermore, Sandia, and Argonne. I am also thankful for my Ph.D. students at Georgia Tech, whose dedication and creativity make this award possible.”

[Related: New Faculty Applies High-Performance Computing, Scientific Machine Learning Interests to Studies in Plasma Physics]

A problem in nuclear research is that fusion simulations are challenging to understand and use. These simulations generate enormous datasets that are too large to store, move, and analyze efficiently.

In his ECRP proposal to DOE, Tang introduced new ML methods to improve the analysis and storage of particle data.

Tang’s approach balances shrinking data so it is easier to store and transfer while preserving the most important scientific features. His multiscale ML models are informed by physics, so the reduced data still reflects how fusion systems really behave.

With Tang’s research, scientists can run larger, more realistic fusion models and analyze results more quickly. This accelerates progress toward practical fusion energy.

“In contrast to generic black-box-type compression tools, we aim at preserving the intrinsic structures of the particle dataset during the data reduction processes,” Tang said. 

“Taking this approach, we can meet our goal of achieving high-fidelity preservation of critical physics with minimum loss of information.”

Computing is essential in modern research because of the amount of data produced and captured from experiments and simulations. In the era of exascale supercomputers, data movement is a greater bottleneck than actual computation.

DOE operates three of the world’s four exascale supercomputers. These machines can calculate one quintillion (a billion billion) operations per second.

The exascale era began in 2022 with the launch of Frontier at Oak Ridge National Laboratory. Aurora followed in 2023 at Argonne National Laboratory. El Capitan arrived in 2024 at Lawrence Livermore National Laboratory.

With Tang’s data reduction approaches, all of DOE’s supercomputers spend more time on science and less time waiting for data transfers.

“Qi’s work in computational plasma physics and nuclear fusion modeling has been groundbreaking,” said Haesun Park, Regents’ Professor and Chair of the School of CSE. 

“We are proud of Qi and what this award means for him, Georgia Tech, and the Department of Energy toward leveraging computation to solve challenges in science and engineering, such as sustainable energy."

Previous Georgia Tech recipients of DOE Early Career Research Program awards include:

Itamar Kimchi, assistant professor, School of Physics

Sourabh Saha, assistant professor, George W. Woodruff School of Mechanical Engineering

Wenjing Lao, associate professor, School of Mathematics

Ryan Lively, Thomas C. DeLoach Professor, School of Chemical & Biomolecular Engineering

Josh Kacher, associate professor, School of Materials Science and Engineering

Devesh Ranjan, Eugene C. Gwaltney Jr. School Chair and professor, Woodruff School of Mechanical Engineering

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.

In these contests, a handler directs a trained dog with whistle signals to guide a small group of sheep across a field and sometimes split the flock cleanly into two groups. But sheep do not always cooperate.

Researchers at the Georgia Institute of Technology studied how handler–dog teams manage these unpredictable flocks in sheepdog trials and found principles that extend beyond livestock herding.

In a study published in Science Advances as the cover feature, the researchers applied those insights to computer simulations showing how similar strategies could improve the control of robot swarms, autonomous vehicles, AI agents, and other networked systems where many machines must coordinate their actions despite uncertain conditions.

Group Movement Dynamics

“Birds, bugs, fish, sheep, and many other organisms move in groups because it benefits individuals, including protection from predators,” said Saad Bhamla, an associate professor in Georgia Tech’s School of Chemical and Biomolecular Engineering. “The puzzle is that the ‘group’ is not a single organism. It is built from many individuals, each making local, imperfect decisions.”

When a predator threatens a herd of sheep, individuals near the edge often move toward the center to reduce their own risk, Bhamla explained. “This is ‘selfish herd’ behavior,” he said. “Shepherds exploit that instinct using trained dogs.”

From examining hours of contest footage, the researchers found that controlling small groups of sheep can be harder than managing large ones. A larger group, with more sheep protected in the center, may behave more coherently than a small group as the animals constantly shift between two instincts: “follow the group” and “flee the dog.”

“That switching behavior makes the group unpredictable,” said Tuhin Chakrabortty, a former postdoctoral researcher in the Bhamla Lab who co-led the study.

Looking closely at how dogs and their handlers guide small groups, the researchers found that unpredictability in the flock’s behavior does not always make control harder. “Under the right conditions, that ‘noisy’ behavior might actually be a benefit,” Bhamla said.

Successful Sheep Herding

Sheepdog handlers categorize sheep by how strongly they respond to a dog’s threatening pressure. Some very responsive sheep might panic under too much pressure, while others might ignore mild pressure and require stronger positioning by the dog.

The researchers observed that successful control often followed a two-step pattern. First, the dog subtly influenced the sheep’s orientation while the animals were mostly standing still. Once the flock was aligned in the desired direction, the dog increased pressure to trigger movement. The timing of those actions was critical, because alignment within a small group could disappear quickly as individuals switched between instincts.

“In our simulations, increasing pressure makes the flock reach the desired orientation faster, but how long the flock stays aligned is set mainly by noise,” Chakrabortty said. “In essence, dogs can steer the direction, but they can’t hold that decision indefinitely, so timing matters.”

The Department of Energy Office of Science recently released two reports through its Advanced Scientific Computing Research (ASCR) program. The reports were produced by workshops that brought together researchers from universities, national labs, government, and industry to set priorities for scientific computing.

Professor Felix Herrmann served on the organizing committee for the Workshop on Inverse Methods for Complex Systems under Uncertainty. Assistant Professor Peng Chen joined Herrmann as a workshop participant, contributing expertise in data science and machine learning.

Inverse methods work backward from outcomes to find their causes. Scientists use these tools to study complex systems, like designing new materials with targeted properties and using past wildfires to map vulnerable areas and behavior of future fires.

The ASCR report highlighted Herrmann’s work on seismic exploration and monitoring through digital twins. Founded on inverse methods, digital twins upgrade from static models to virtual systems that accurately mirror their physical counterparts. 

Digital twins integrate real-time data sources, including fluid flows, monitoring and control systems, risk assessments, and human decisions. These models also account for uncertainty and address data gaps or limitations. 

The DOE organized the workshop to support the growing role of inverse modeling. The group identified four priority research directions (PRDs) to guide future work. The PRDs are:

• PRD 1: Discovering, exploiting, and preserving structure
• PRD 2: Identifying and overcoming model limitations
• PRD 3: Integrating disparate multimodal and/or dynamic data
• PRD 4: Solving goal-oriented inverse problems for downstream tasks

“A digital twin is a system you can control, like to optimize operations or to minimize risk,” said Herrmann, who holds joint appointments in the Schools of Earth and Atmospheric Sciences, Electrical and Computer Engineering, and Computational Science and Engineering.

“Digital twins give you a principled way to consider uncertainties, which there are a lot in subsurface monitoring. If you inject carbon dioxide too fast, you will will increase the pressure and may fracture the rock. If you inject too slow, then the process may become too costly. Digital twins help us make balanced decisions under uncertainty.”

Supercomputers, algorithms, and artificial intelligence now power modern science. However, these tools consume enormous amounts of energy. This raises concerns about how to sustain computing and scientific research as we know them in the decades ahead.

Professors Rich Vuduc and Hyesoon Kim co-authored the report from the Workshop on Energy-Efficient Computing for Science. At the three-day ASCR workshop, participants identified five key research directions:

• PRD 1: Co-design energy-efficient hardware devices and architectures for important workloads
• PRD 2: Define the algorithmic foundations of energy-efficient scientific computing
• PRD 3: Reconceptualize software ecosystems for energy efficiency
• PRD 4: Enable energy-efficient data management for data centers, instruments, and users
• PRD 5: Develop integrated, scalable energy measurement and modeling capabilities for next-generation computing systems

“I’m cautiously optimistic about the future of energy-efficient computing. The ASCR report says, from a technological point of view, there are things we can do,” said Vuduc.

“The report lays out paths for how we might design better apps, hardware systems, and algorithms that will use less energy. This is recognition that we should think about how architectures and software work together to drive down energy usage for systems.”

Tang will lead the strategic vision, interdisciplinary research efforts, and internal and external partnerships at SEI, strengthening connections across Georgia Tech’s Colleges, Interdisciplinary Research Institutes (IRI), the Georgia Tech Research Institute (GTRI), and external partners to advance energy-related initiatives.

Founded in 2004, SEI is one of Georgia Tech’s IRIs and serves as a campuswide hub for energy research, education, and engagement.

Tang is the Georgia Power Professor in the School of Earth and Atmospheric Sciences. Her research and leadership focus on advancing secure, circular, and sustainable energy systems by integrating Earth, environmental, biological, materials, and sustainability sciences and innovations. She previously served as an initiative lead on critical minerals and sustainable resources at SEI as well as the associate director for interdisciplinary research at the Brook Byers Institute for Sustainable Systems.

“Professor Tang brings a strong record of research impact, leadership of complex initiatives, and a collaborative approach that will help elevate Georgia Tech’s energy research enterprise,” said Julia Kubanek, vice president for Interdisciplinary Research at Georgia Tech. “She brings deep expertise in fundamental Earth and environmental science, including water, soil, and energy research, while also leading state and regional partnerships in emerging, applied areas such as critical minerals. Most importantly, she is community-minded with excellent listening and consensus-building skills.”

As executive director, Tang will develop and communicate a unifying vision to advance interdisciplinary energy research and strategic thought leadership at Georgia Tech, integrating expertise across engineering, sciences, computing, business, design, economics, policy, and the humanities.

Tang is also the founding director of the Center for Critical Mineral Solutions and leads a multidisciplinary coalition spanning three University System of Georgia institutions. The coalition connects research, industry, and policy to build Georgia’s critical minerals innovation ecosystem, while driving resource advancement, workforce development, and economic impact.

“I'm honored to serve as the executive director of SEI. Georgia Tech’s energy research and the people behind it have always inspired me. I’m eager to listen, learn, and work alongside our community,” said Tang. “SEI connects research excellence with real-world impact, and I look forward to partnering across campus, industry, government, and communities to translate breakthrough ideas into solutions that strengthen energy security, reliability, and affordability.”

About the Strategic Energy Institute

The Strategic Energy Institute (SEI) serves as a system integrator for more than 1,000 Georgia Tech researchers working across the entire energy value chain. SEI brings together expertise to address complex energy challenges, from commercializing scalable technologies to informing long-term energy strategy and policy. Through research, education, community building, resource development, and thought leadership, SEI mobilizes Georgia Tech’s collective strengths to advance reliable, affordable, and lower-carbon energy solutions for a growing global demand.

“Arts organizations contribute so much to the vibrancy of a community,” said Caley Landau, program manager for GAIN and marketing strategist at EI². “They help create a sense of place and provide the ‘something to do’ that small cities and towns want to offer residents, new workers, and prospective businesses. Our hope is to enhance the arts and cultural ecosystem in Middle Georgia by providing training and technical assistance to the organizations that produce art in the region.”

A Rural Community Already Investing in Placemaking

Perry was selected as the pilot location in part for its active downtown revitalization work and commitment to placemaking. Through the Georgia Economic Placemaking Collaborative, Perry city staff partnered with EI²’s Center for Economic Development Research to develop strategies for arts‑based community development.

“Working alongside the Georgia Tech team has been a wonderful experience,” said Alicia Hartley, downtown manager for the City of Perry. “We hope that participants walk away from the cohort inspired and empowered to activate their organizations in creative and meaningful ways.”

Listening First, Then Providing Targeted Support

The program will begin with a listening session to understand participating organizations’ needs. EI² will then design tailored workshops drawing from experts at Georgia Tech and beyond. Every other month, cohort members will meet for sessions on business practices, digital tools, operational efficiency, marketing, placemaking partnerships, and other areas that support long‑term sustainability.

“They sound like great ideas — murals, pop‑up exhibits, outdoor performances — but how do you really get down to the nuts and bolts of making them happen?” Landau said. “And how do you bring the right partners to the table? That’s what we’ll explore together.”

A Statewide Mission, Strengthened Through the Arts

As Georgia Tech’s economic development arm, EI² administers programs that support entrepreneurs, manufacturers, communities, and municipalities across the state and around the world.

“GAIN represents an important part of EI²’s comprehensive approach to economic development,” said David Bridges, vice president of EI². “It gives us another way to create impact in Georgia by applying our expertise to serve arts organizations that are vital to Georgia communities.”

Jason Freeman, associate vice provost for Georgia Tech Arts, noted that the pilot aligns with the Institute’s broader commitment to supporting arts, culture, and creativity statewide.

“Through GAIN, I’m excited to learn more about the arts ecosystem in Middle Georgia,” Freeman said. “The lessons we learn will inform both statewide collaborations and new initiatives emerging through our Creative Quarter innovation district on campus.”

Program Funding and Support

The pilot is funded through the NEA’s Our Town program, which supports projects integrating arts, culture, and design into community development. The Georgia Council for the Arts is partnering with EI² on cohort recruitment, curriculum development, and arts‑based placemaking strategies.

Recruitment has begun. Arts nonprofits and arts‑based businesses in Middle Georgia may apply at innovate.gatech.edu/gain/.

If you’ve walked the aisles of a grocery store, scrolled through social media, watched television, or set foot in a fast-casual restaurant chain in recent months, you know that protein is having its moment.  

As artificial intelligence (AI) drives explosive growth in data centers, communities across the U.S. are facing rising electricity costs, new industrial development, and mounting strain on an aging power grid.

At Georgia Tech, several faculty members are approaching these sustainability challenges from different but complementary angles: examining how data center policy affects local communities, modeling how AI-driven demand reshapes regional energy systems, and building tools that help the public understand the tradeoffs embedded in grid planning. Together, their work highlights how better data, thoughtful policy, and public engagement can guide more resilient and equitable decisions in an AI-powered future.

AI’s Hidden Footprint: How Data Centers Reshape Communities

Ahmed Saeed studies the infrastructure most people never see. An assistant professor in the School of Computer Science and a Brook Byers Institute for Sustainable Systems (BBISS) Faculty Fellow, Saeed focuses on how data centers — the backbone of modern AI — are built, operated, and regulated, and what their growth means for host communities.

“Data centers are the infrastructure for our digital life, so more of them are necessary to keep doing what we’re doing,” he said.

Data center energy consumption could double or triple by 2028, accounting for up to 12% of U.S. electricity use, according to a report by Lawrence Berkeley National Laboratory. U.S. spending on data center construction jumped nearly 70% between May 2023 and May 2024, according to the American Edge Project.

Georgia is an AI data center hub, ranked fourth globally, with $4.6 billion in AI-related venture capital invested across 368 deals, the American Edge Project reported. At a recent town hall in DeKalb County, Georgia, Saeed helped residents connect AI’s promise to its local consequences. Training large AI models can require tens of thousands of graphics processing units (GPUs) running for days or weeks, driving an unprecedented wave of data center construction. AI-focused chips, he noted, can consume 10 to 14 times more power than traditional processors.

That demand often shows up as pressure on local infrastructure. Communities are increasingly concerned about electricity and water use, grid upgrades, and who ultimately pays. In Virginia, Saeed pointed to a legal dispute in which consumer advocates warned that data centers could raise electricity bills by 5% in the short term and up to 50% over time, while utilities argued those investments were inevitable and could benefit customers in the long run.

Environmental concerns add another layer. Saeed cited controversies over water use and backup diesel generators in states, including Georgia and Tennessee, alongside a recent Environmental Protection Agency (EPA) ruling that tightened generator regulations. While diesel generators are clearly harmful, he cautioned that long-term, rigorous evidence linking data centers to regional health impacts remains limited.

Saeed’s research aims to reduce those impacts directly. By optimizing how workloads are scheduled across large server fleets, his team has demonstrated power savings of 4 – 12%, a meaningful gain if U.S. data centers approach projected levels of up to 12% of national electricity use by 2028.

For Saeed, data centers are akin to highways: essential to modern life, disruptive to nearby communities, and shaped by policy choices. The question, he argues, is not whether AI infrastructure should exist, but how transparently and fairly it is built.

Economist Probes the Energy Costs of the AI Boom

While headlines often frame AI as an energy crisis, Georgia Tech environmental and energy economist and BBISS Faculty Fellow Tony Harding is focused on measuring its real — and uneven — impacts. Harding, an assistant professor in the Jimmy and Rosalynn Carter School of Public Policy, uses economic modeling to examine how AI adoption affects energy use, emissions, and local communities.

In recent work published in Environmental Research Letters, Harding and his co-author analyzed how productivity gains from AI could influence national energy demand. Their findings suggest that, at a macro level, AI-related activity may increase annual U.S. energy use by about 0.03% and CO₂ emissions by roughly 0.02%.

“Those numbers are small in the context of the overall economy,” Harding said. “But the impacts are highly uneven.”

That unevenness is evident in where data centers are built. While Northern Virginia remains the country’s top data center hub, with 343 operational data centers, states like Georgia, which currently has 94 operational data centers, are rapidly attracting facilities due to reliable power and favorable tax policies. 

Harding’s latest research focuses on local effects, asking why data centers cluster in urban areas, how they influence housing markets, what happens to electricity prices, and whether they exacerbate water stress. Early evidence suggests large facilities can increase local electricity rates, contributing to public backlash and regulatory response. In Georgia, the Public Service Commission has begun requiring new, high power draw customers (like data centers) to cover more of the costs associated with grid expansion.

Harding’s goal is to give policymakers better evidence to design incentives and guardrails. “To manage these technologies responsibly,” he said, “we need a clear picture of their intended and unintended consequences.”

Gamifying a Strained and Aging Power Grid

Daniel Molzahn is tackling another side of the problem: how to modernize an aging power grid under growing demand. Electricity demand is expected to rise about 25% by 2030, driven by data centers, electric vehicles, and broadscale electrification. At the same time, much of the U.S. electricity grid is nearing the end of its lifespan, with many transformers being decades old.

To make these challenges tangible, Molzahn, an associate professor in the School of Electrical and Computer Engineering, developed a browser-based game with a group of students through Georgia Tech’s Vertically Integrated Projects program called Current Crisis. Players take on the role of a utility decision-maker, balancing reliability, wildfire risk, renewable integration, and affordability.

The game grew out of Molzahn’s National Science Foundation CAREER award and reflects his belief that complex systems are best understood experientially. Its initial focus is wildfire resilience, modeling how grid infrastructure can both spark and suffer damage from fires.

But resilience comes at a cost. Burying power lines, for example, reduces wildfire risk but dramatically increases expenses. Players must confront the same tradeoffs utilities face: improve reliability or keep rates low.

Molzahn hopes the game will help students and the public grapple with the realities of planning future power systems. “These choices aren’t abstract,” he said. “They shape affordability, resilience, and our path toward a cleaner grid.”

The project now involves nearly 40 students from across campus, supported by Sustainability NEXT funding and a collaboration with Jessica Roberts, former BBISS Faculty Fellow and director of the Technology-Integrated Learning Environments (TILES) Lab in the School of Interactive Computing.

“As a learning scientist, I look at how to engage people with science and scientific data and get people having conversations they might not otherwise have,” says Roberts, who hopes the seed grant helps the team determine first that they are going in the right direction and, second, how to broaden the impact.

One student, Stella Quinto Lima, a graduate research assistant in Human-Centered Computing, has made the game the focus of her doctoral thesis. Through the game, she wants players to notice their misconceptions about the power grid, energy use, and AI, and to use critical thinking to identify, question, and possibly undo those misconceptions.

 “I hope that we can really engage adults and help them see it’s not black and white. The game is not only about power grids, but how AI affects the grid, how it affects our lives, and how it will impact our future.”

The team plans to expand the game’s features, use it in outreach programs, and analyze player decisions as a source of data to study energy-system decision-making.

“We want to change the conversation about power and power grid stability, reliability, and sustainability, Roberts said, “and find a way to get this message to a larger public.”

The Georgia Institute of Technology and Augusta University have launched a collaborative effort to boost the city’s medical device innovation ecosystem. 

Some labs in the School of Electrical and Computer Engineering (ECE) use liquid nitrogen and liquid helium to chill cryogenic test systems to as low as 4 Kelvins (K), or -452.47 degrees Fahrenheit (F), temperatures that rival the coldest regions of deep space.

At this point, materials and electronic devices stop behaving in familiar ways, which is exactly why ECE researchers use these extreme conditions to explore and develop new semiconductor technologies.

“Electronics are very temperature dependent,” Professor John Cressler said, whose lab houses some of these cryogenic test systems. “Whether you see it or not, every electronic you buy has a tested temperature spec associated with it.”

Current commercially sold devices, including most cell phones, are made to run between 32 F and 85 F. Researchers in ECE test across a far wider range, as they develop technology with extraterrestrial and quantum computing applications in mind.

Other ECE teams work in natural extremes, carrying instruments into polar regions where cold creates challenges that no lab can fully replicate.

Just as cold pushes athletes in different ways, it guides ECE research down its own distinct paths.

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

Historically, most engineers believed the former, using heterogeneities, or differences, in materials to make materials stronger and more resilient. However, research from Georgia Tech is showing that, in some cases, heterogeneities make materials weaker and can even accelerate cracks. 

Led by School of Physics Assistant Professor Itamar Kolvin, the study, “Dual Role for Heterogeneity in Dynamic Fracture,” was published in Physical Review Letters this fall. 

While Kolvin’s work is theoretical, the results of the research are widely applicable. “Predicting this type of toughening effect helps engineers decide how much reinforcement to add to a material, and the best way to do so,” he says. “Cracks are complex — they interact with the material, change shape, and respond dynamically. All of this affects the overall toughness, which impacts safety.”

Building Strong Materials

The study found that the key to crack behavior starts at the microscopic level where the material’s microscopic structure influences how it resists cracks running at different speeds.

“Cracks propagate by breaking bonds, and that costs energy,” he explains. “On top of this, materials experience extreme deformations close to where the crack runs, which costs additional energy. In some materials, the amount of this energy cost can depend on the crack’s speed because of microscopic friction between molecules.”

Other materials, like window glass, are mostly indifferent to the crack speed. These materials are made of simple molecules, allowing a crack to propagate slowly or quickly using the same amount of energy. The researchers found that including heterogeneities can help strengthen these materials.

Materials made of more complex molecules, like polymer plastics and gels, on the other hand, are velocity dependent: it takes more energy for a crack to propagate faster. In these materials, heterogeneities are less effective at toughening, and if the crack is fast enough, heterogeneities could help it advance. “That’s something we didn’t expect when we started,” Kolvin says.

Disorder Versus Design

After discovering which types of materials can benefit from heterogeneities, Kolvin wanted to investigate the best way to add them. “Natural materials like rocks are usually very messy and disordered,” he explains, “but in engineering, heterogenous materials tend to be patterned.” For example, imagine a manufactured material: heterogeneities may be added in a grid-like or other patterned way. Now, contrast that with the irregular freckles and inclusions you might see in a rock found in a streambed.

Kolvin’s question was simple: which material was stronger? The results, again, were surprising. The disordered case — similar to what is found in nature — created the toughest material. 

Among the patterned materials the team tested, only one was as tough as the disordered case — and every other pattern tested made the material weaker.

From Lab to Landscape

At Georgia Tech, Kolvin’s lab focuses on the mechanics of materials — both solid and fluid. “We are using our expertise in physics to explore questions across different fields,” he says. “A common concept is treating materials as continua — zooming out from molecular detail to look at how materials deform and flow at the large scale.”

This current research follows suit with applications ranging from investigating the smallest material microstructures to predicting earthquake fractures. “Earthquake faults are highly disordered, and simulating these ruptures is a major challenge, usually requiring supercomputers to solve crack propagation in three dimensions,” Kolvin says. “But with the tools our study has developed, we can simulate similar conditions and large systems using just a desktop computer.”

“This opens the doors for scientists, engineers, physicists, and geologists to explore problems right from their own computer, allowing more researchers access to more tools,” he adds. “And new tools often lead to new discoveries.”

DOI: https://doi.org/10.1103/j4vb-y1ng

"The IOP has a long and distinguished history as the primary learned society and professional body for physicists in the U.K., Ireland, and beyond,” says Kamerlin, who completed both a Master of Natural Sciences and a Ph.D. in Theoretical Organic Chemistry from the University of Birmingham in the United Kingdom. “As a society, it plays an important role in building community, promoting science, advancing advocacy for our discipline, and supporting the next generation of physicists.”

Kamerlin joins a list of distinguished Fellows that includes legendary physicists such as Dame Jocelyn Bell Burnell, a preeminent astrophysicist responsible for the discovery of pulsars (a previously unknown type of star) and the first female president of the IOP.

“It is a great honor to be awarded Fellowship of the IOP, particularly as women more broadly remain vastly underrepresented in physics,” Kamerlin says. “I look forward to giving back to the physics community, supporting the mission of the society, and working to remind the next generation that physics is for everyone."

About Lynn Kamerlin

Kamerlin’s research in computational biophysics is at the intersection of chemistry and biology, where she focuses on investigating fundamental physical chemistry and using computational tools to understand complex biomolecular problems. Currently, she is interested in leveraging machine learning tools to design new enzymes and in predicting protein structures and behaviors using large language models.

In addition to her roles at Georgia Tech, Kamerlin is a senior editor of Protein Science, the editor-in-chief of Electronic Structure, and was named a 2025-27 visiting professor at Lund University. She was also named a Fellow of the Royal Society of Chemistry, received the 2026 Inspiration and Resilience Award from the Biochemical Society, and was the 2023 Biophysical Society Theory & Computation Subgroup Mid-Career Award Winner.

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.”

Nearly two dozen venture capital (VC) leaders based in Atlanta and the Southeast participated in a half-day summit at the College on Jan. 21.

Co-hosts Dean of Computing Vivek Sarkar and Noro-Moseley Partners General Partner Alan Taetle organized the invitation-only summit. Their goals were to:

• Showcase the College’s research strengths and entrepreneurial culture
• Deepen connections between academic innovation and startups
• Explore opportunities for collaboration, commercialization, and startup growth

The summit’s guest list included founders, partners, and leaders from VC firms. Many of these firms focus on early-stage startups in SaaS, fintech, cybersecurity, and other emerging technology markets.

Research With Commercial Impact

Sarkar outlined the College of Computing’s academic mission and research priorities during his opening remarks. He emphasized the College’s role in advancing innovation in cybersecurity, artificial intelligence (AI), and other emerging research areas.

“One of the College’s strategic pillars is what I call ‘X to the power of Computing’,” Sarkar said. “Look at any discipline or industry X to see where they're innovating and where their advances are being made, and that’s where Computing meets that discipline.”

Along with remarks from the dean, the summit featured presentations highlighting Georgia Tech’s entrepreneurial ecosystem and College-led research initiatives with strong commercialization potential.

Expanding Support for Student Founders

Jen Whitlow leads Community Partnerships at Fusen, a global platform for student founders created by Atlanta philanthropist Christopher W. Klaus. She described Klaus’s support for student entrepreneurship, including GT Computing’s annual Klaus Startup Challenge. In 2025, Klaus awarded five winning teams $150,000 each to cover startup costs.

Whitlow also updated guests on Klaus’s commitment, announced in May 2025, to covering the incorporation costs for any graduating student who aspires to launch a startup.

“More than 600 graduates from last year’s Spring and Fall Commencements have accepted the gift, and more than 225 recent graduates have completed their incorporation to date,” Whitlow said. She added that a second cohort of Fall 2025 graduates is being processed over the next few weeks.

Offering an enterprise-level view, CREATE-X Rahul Saxena presented recent updates to commercialization at Georgia Tech and efforts to streamline entrepreneurial processes.

Saxena emphasized the launch of Velocity Startups, an accelerator that provides the resources and infrastructure student startups need to bring their innovations to market.

Building the Pipeline From Research to Startup

Following these updates, GT Computing faculty delivered lightning-round presentations highlighting the College’s research strengths in AI, cybersecurity, and high-performance computing.

“The tighter the local investing community is with Georgia Tech, the better off both are,” said Taetle, who has been a member of the College’s Advisory Board for more than 20 years.

“It’s critical in this super-competitive world that we do everything that we can to support this fantastic university.”

Taetle added that the summit was part of a broader effort to strengthen the College’s entrepreneurial pipeline.

“There are some really big ideas here, which could turn into really big companies,” he said. “We’ve made some great strides on the commercialization front, but we still have that opportunity and challenge in front of us.”

The afternoon concluded with a discussion of next steps and engagement opportunities, led by Sarkar and Jason Zwang, GT Computing’s senior director of development. The discussion focused on research partnership opportunities, startup formation, and student involvement.

Zwang emphasized the importance of investing in Atlanta’s innovation ecosystem, citing the city’s strong fundamentals and pro-growth climate for entrepreneurship.

“This gives us a unique opportunity to start working more closely with the local VC community, and it’s also great for our students,” Zwang said.

Sarkar agreed, saying, “There’s no downside for students to get involved in a startup. It might take off and be a bonanza. If not, the experience makes you a more competitive hire because of the breadth of experience you gain at a startup.”

To foster these opportunities for students, Zwang said that a key priority is to establish earlier, more intentional connections among students, startups, and investors.

“This is a pivotal moment,” he said. “We can determine how to connect students with the VC and startup community earlier and ensure these investors remain involved with the College.”

College leaders said the summit underscored Computing’s commitment to fostering an entrepreneurial culture and to building lasting relationships that can help accelerate the real-world impact of its research beyond the Institute.

“Georgia Tech is a force multiplier for entrepreneurship,” said Sarkar. “We’re here to change the world. We want to inspire a culture of bold, big entrepreneurial thinking, and look forward to the next steps that will follow this VC summit.”

“Support from the RCSA is much appreciated right now to maintain our research productivity and pedagogic service to our student body,” says Agarwal. “The focus of RCSA extends beyond scientific research to include student success, which is in excellent concert with Georgia Tech’s mission.”

Agarwal, who joined Georgia Tech in 2017, holds joint appointments in the Schools of Chemistry and Biochemistry and Biological Sciences. His research group studies natural products — small molecules created by living organisms — to understand how they are made and explore potential uses. In 2021, Agarwal was named an RCSA Cottrell Scholar in recognition of his study of natural products found in oceans and his efforts to develop new curricula for undergraduates related to this research.

His additional professional recognitions include the NSF CAREER Award, the American Society of Pharmacognosy Matt Suffness Young Investigator Award, the Camille Dreyfus Teacher-Scholar Award, and the Sloan Research Fellowship.

The new initiative was sparked by ongoing research at Georgia Tech — and a Yellow Jacket connection: when Postdoctoral Research Fellow Hannah Youngblood’s work on exfoliation glaucoma (XFG) was featured by the BrightFocus Foundation, it caught the attention of Jennifer Rucker, an Alabama resident who was diagnosed with XFG several years ago.

Excited that the research could change outcomes for people like her — and proud that it’s happening at her husband Philip Rucker’s, EE 72, alma mater — Jennifer Rucker reached out to Youngblood and her advisor, School of Chemistry and Biochemistry Professor and Kelly Sepcic Pfeil, Ph.D. Chair Raquel Lieberman. 

“As the wife of a Georgia Tech graduate and an individual with pseudoexfoliation glaucoma, I was inspired to support the scientists whose efforts may help me and others,” Jennifer Rucker says. What followed was a meaningful dialogue and a shared sense of purpose — and the creation of the Georgia Tech Glaucoma Research Fund (Wreck Glaucoma! Fund). 

“It meant so much that Jennifer took the initiative to reach out to learn more about our research,” says Lieberman. “Moments like this remind me how deeply meaningful it is to connect with people in the broader community who are navigating glaucoma. Opportunities for such personal connections are rare, but they inspire and further motivate us to achieve our lab’s mission to improve the lives of individuals suffering from blindness diseases.”

A Personal Connection

Youngblood’s interest in glaucoma research also stems from a personal connection: her father was diagnosed with glaucoma as a young adult. Now, Youngblood studies the genetic and molecular factors behind XFG in the Lieberman research lab. 

“XFG is an aggressive form of the disease with no known cure,” Youngblood says. While scientists know that XFG is the result of abnormal accumulation of proteins in the eye, current treatments only address symptoms rather than treating the root cause of the disease.

“We know XFG is driven by protein buildup, but we still don’t know why it happens,” she explains. “My work studying specific genetic variants aims to uncover this.” 

The Genetics of Glaucoma

In particular, Youngblood is researching the role of LOXL1, a protein that plays a role in soft tissue throughout the body, including the eyes.

“Research has shown that people with variants in the genes responsible for this protein are more likely to have XFG,” she says. “That made me curious to see if the variants might be impacting the structure of the LOXL1 protein itself and how those variants might lead to disease.”

Youngblood is currently testing her theory in the lab. “My hope is that new insight into proteins like LOXL1 will bring us closer to treatments that address XFG at its source,” she says. “The new Georgia Tech Glaucoma Research Fund is a tremendous step forward in making that hope a reality.”

Support the Georgia Tech Glaucoma Research Fund

Please visit the Glaucoma Research Fund support page to give to this specific program. To discuss additional philanthropic opportunities, please contact the College of Sciences Development Team: development@cos.gatech.edu

Your investment ensures that these scholars and researchers have world-class resources, facilities, and mentors to excel in this critical work. Thank you for helping us shape the future.

“The Sloan Research Fellows are among the most promising early-career researchers in the U.S. and Canada, already driving meaningful progress in their respective disciplines,” says Stacie Bloom, president and chief executive officer of the Alfred P. Sloan Foundation. “We look forward to seeing how these exceptional scholars continue to unlock new scientific advancements, redefine their fields, and foster the wellbeing and knowledge of all.”

"This is a wonderful and welcome surprise that will support my ongoing research on mountains across the globe,” says Freeman. “It's a vote of confidence and will let me get out there and get to work."

Freeman is one of 126 scientists selected this year for the honor and will receive a two-year $75,000 grant of flexible funding to support his research.

He joins the ranks of nearly 50 faculty from Georgia Tech who have received Sloan Research Fellowships, including School of Mathematics’ Alex Blumenthal in 2024, Hannah Choi in 2022, Yao Yao in 2020, Konstantin Tikhomirov in 2019, Lutz Warnke in 2018, Zaher Hani in 2016, Jen Hom in 2015, and Greg Blekherman in 2012; School of Chemistry and Biochemistry's Vinayak Agarwal in 2018; School of Earth and Atmospheric Sciences' Christopher Reinhard in 2015; and School of Physics’ Chunhui (Rita) Du in 2024 and Tamara Bogdanović in 2013. 

Freeman joined the Institute in 2023 and was also recently named a 2024 Packard Fellow by the David and Lucile Packard Foundation and 2025 Early Career Fellow by the Ecological Society of America.

Understanding the ‘escalator to extinction’

Known for his groundbreaking research in climate change and bird ecology, Freeman studies birds worldwide from Appalachia to Ecuador. He specializes in tropical populations where his work is centered on understanding how mountain species respond to a changing climate — and how to facilitate their survival. 

“Tropical mountains are some of Earth’s largest biodiversity hotspots; they harbor an extraordinary number of species,” shares Freeman. “Additionally, tropical mountain birds are particularly sensitive to environmental change, so they can serve as an early warning system for global conservation efforts.”

Previously, his research has shown that some species are on an ‘escalator to extinction’ with vulnerable groups moving to higher elevations to escape warming temperatures. At the top of the escalator, some summit-dwelling species are disappearing. 

“We know that many species are on this escalator,” Freeman says. “The next step is to figure out which species are most vulnerable and why. In order to direct conservation efforts, we need to know who is vulnerable, why small increases in temperature have dramatic effects, and what can be done to help.”

A worldwide early warning system

To uncover those answers, Freeman is taking two approaches: mapping global patterns with big picture data and conducting on-the-ground research in the tropics.

To target the former, he created the Mountain Bird Network, which supports community scientists in conducting bird surveys on their local mountains. The goal is to create a system that allows researchers to diagnose vulnerable species before they are too sparse to save.

“When a species is in trouble, we need to know as soon as possible,” Freeman says. “Once a population is small enough to be at risk of extinction, it’s very hard to reverse that process. The Mountain Bird Network collects data on mountain bird abundances and distributions across the globe, which, when used with data from a global citizen science program called eBird, can be leveraged to build models to identify which species might be vulnerable before those populations become critically small.”

A living lab on Tech Mountain

Freeman’s other avenue of research involves building an ambitious living laboratory in Pinchincha, Ecuador. The research site will span thousands of meters along the flanks of a local mountain, spanning lowland rainforest, foothill rainforest, and cloud forest ecosystems.

“The mountain is home to thousands of birds from hundreds of species,” Freeman says. “My goal is to track and understand their daily lives — and how climate changes impact them.”

Using cutting-edge tracking technology, he will tag and monitor their daily movements, mapping those against microclimate sensors placed at different elevations along the mountain’s slopes. The challenge of placing and maintaining thousands of tiny sensors in rugged conditions means that it has never been done before.

“We’ll track these birds for at least five years –- but hopefully for decades,” Freeman says. “The data we gather at Tech Mountain will be the first of its kind, and my hope is that it makes a real difference in conservation efforts worldwide.”

What does it mean to design systems that endure even after major disruptions? This question framed the 2026 Brook Byers Institute for Sustainable Systems (BBISS) Sustainability Showcase, where conversations over two days spanned the Georgia coast, wildfire modeling, AI data centers, infrastructure, community engagement, and the joy of working for a more sustainable and resilient world. Across disciplines and scales, a unifying theme emerged: resilience is not a single solution. It is a systems-level challenge requiring integration across science and technology, policy, communities, and human experience.

From Coastlines to Communities

The showcase opened with a keynote from President Emeritus G. Wayne Clough on wildlife management and resiliency along Georgia’s coast. The conversation that followed between Clough and BBISS Executive Director Beril Toktay highlighted the interconnection between public policy, wilderness conservation, community leadership, and scientific research. The session highlighted not only the urgency of protecting fragile ecosystems, but also that resilience works best when it is community-focused and community-driven.

Subsequent panels continued this systemic perspective. Sessions on community engagement, biotechnology-derived, climate-resilient plants, the flood resilience of Georgia coastal communities, wildfire prediction and prevention, and infrastructure resilience analytics all emphasized that resilience depends on the synthesis of many disciplines.

Across sessions, researchers emphasized that infrastructure resilience must include governance frameworks informed by good science, community engagement based on trust, and sustained collaboration that seeks to constantly improve the science, policy, and stakeholder relationships. The researchers demonstrated that they understand their role to be greater than merely modeling risk, but as collaborators who translate research into practical solutions that communities can adopt, maintain, and trust.

AI Data Centers: A New Resilience Frontier

Day two shifted attention to data centers, which are emerging as a critical resilience frontier. As artificial intelligence systems scale rapidly, so does the infrastructure that powers them, as well as the growing realization that digital systems are physical systems. Conversations examined the feedback loops that play a significant role in determining environmental impacts, such as chip architecture, AI workloads, data center sustainability, appropriate AI usage, and who makes the decisions on data center infrastructure development. 

One of the most fascinating sessions came from Alexandria Smith, assistant professor in the School of Music at Georgia Tech. She presented an artistic yet algorithmic composition that sonified data from AI data centers. Through translating kilowatt-hour usage and interconnection data into immersive soundscapes, she reframed data centers not as static input-output machines, but as adaptive, living systems. Drawing inspiration from Physarum polycephalum, a slime mold without a brain or nervous system known for its innate problem-solving abilities, she invites the listener to imagine infrastructure that senses, adapts, and self-optimizes.

Campus as a Living Laboratory

In her session, Professor Jennifer Chirico, associate vice president of Sustainability, highlighted Georgia Tech’s 2024 Climate Action Plan, focusing on building energy efficiency, renewable integration, materials management, and mobility transitions. The plan frames the Georgia Tech campus as a test bed for resilience strategies — an ecosystem where research, operations, and policy intersect. Chirico highlighted several examples where the alignment between research and implementation was essential in moving projects from modeling to pilot projects to sustained institutional change.

Finding Joy in Climate Action

Rebecca Watts Hull, Matthew Realff, and Christie Stewart led an interactive discussion inspired by Ayana Elizabeth Johnson’s framework for accelerating long-term climate action. Participants were asked three simple questions: What are you good at? What work needs doing? What brings you joy? Sustainability and climate research are fields often defined by serious urgency, crisis narratives, and burnout. This session offered a personal framework for resilience where emotional sustainability, professional fulfillment, and joy matter just as much as the motivation to drive a mission ever forward.

Building a Shared Vision

The Sustainability Showcase concluded with a facilitated visioning session led by Kristin Janacek, associate director for Interdisciplinary Research Impact, and Beril Toktay. In small groups, leaders, researchers, and community members worked to define what resilience looks like for them.

After the conversations, several themes emerged:

• Resilience must move from research to practical and community-based solutions to sustained action.
• Networks create opportunity but require long-term stewardship to endure.
• Choosing the right metrics to measure resilience will galvanize efforts to strengthen it.
• Community capacity is at least as important as built infrastructure.

Over two days, it became clear that Georgia Tech is not approaching resilience as a narrow technical problem. It is approaching it as a systems challenge — one that spans coastlines, campuses, disciplines, data centers, the Appalachian Mountains, data models, the arts, and human relationships. Designing systems that endure requires more than innovation. It requires collaboration, stewardship, and a shared commitment to long-term impact. The conversations launched at this year’s BBISS Sustainability Showcase laid the foundation for continued coordination and ambitious action in the months ahead.

The project, inspired by an Atlanta Science Festival event hosted by School of Chemistry and Biochemistry Assistant Professor Andrew McShan, develops an innovative outreach and teaching module around nuclear magnetic resonance (NMR) techniques, and is designed for easy adoption in introductory chemistry and biochemistry courses. 

Published earlier this year in the Journal of Chemical Education, the study, “Automated Chemical Profiling of Wine by Solution NMR Spectroscopy: A Demonstration for Outreach and Education” was led by a team from the School of Chemistry and Biochemistry including lead author McShan, Ph.D. students Lily Capeci, Elizabeth A. Corbin, Ruoqing Jia, Miriam K. Simma, and F. N. U. Vidya, Academic Professional Mary E. Peek, and Georgia Tech NMR Center Co-Directors Johannes E. Leisen and Hongwei Wu.

“NMR is one of the most widely used analytical tools in chemistry and the life sciences, and Georgia Tech hosts one of the most cutting-edge NMR centers in the world,” McShan says. “Our study shows that you don’t need advanced training to appreciate how powerful tools like NMR work and how those tools are used in research.”

All materials, tutorials, and data are freely available via online tutorials and a YouTube video, enabling educators to replicate or adapt the activity even in settings with limited access to NMR facilities.

Wine sleuthing at the Atlanta Science Festival

From families with K-12 students to undergraduates to adults with no prior chemistry experience, nearly 130 visitors explored wine chemistry at the Georgia Tech NMR Center during the Atlanta Science Festival event. With McShan’s guidance, they identified and quantified more than 70 chemical components that influence wine taste, aroma, and quality by analyzing the chemical composition, structure, and dynamics of molecules.

Taking on the role of wine investigators (a real-world application of NMR), the group investigated examples of wine fraud, learning to identify harmful additives like methanol, antifreeze, and lead acetate – additives that played roles in both historical and modern wine scandals.

“By connecting the science to something familiar like wine, we were able to spark curiosity and excitement across age groups,” says McShan. “This a framework for how complex analytical techniques can be made inclusive, interactive, and inspiring whether in the classroom or at a science festival.”

Science for all

The study underscores the potential of NMR and other powerful technologies as outreach opportunities – from engaging the public to better teaching undergraduate students.

“After the event, adults said they learned how chemical composition affects wine characteristics and how NMR is used in research and industry,” McShan says. “Younger participants learned key concepts about wine composition and found benefits from the sensory elements, like watching the spectrometer in action.”

They aim to use these takeaways to continue developing outreach tools. “My end goal is to develop NMR into a practical teaching tool by grounding the technique in real-world examples,” adds McShan. “Using this approach is a clear avenue to introducing the general public to the world-class instruments used by researchers at Georgia Tech and exposing undergraduate students to the powerful analytical techniques they are likely to encounter throughout their careers.”

Funding: National Science Foundation

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.

“The selection committee received more than a dozen proposals that push the boundaries of AI-enabled science and encourage collaboration across units. I look forward to seeing the great science, strong results, and successful future external funding enabled by these seed grants,” says Dimitrios Psaltis, professor in the School of Physics and director of the AI4Science Center. 

Launched earlier this semester, the center promotes cross-disciplinary research on AI tools that address scientific challenges. The following three proposals were selected by the center based on their scientific goals, extent of interdisciplinary collaboration, and potential for outside funding: 

Spring 2026 AI4Science Center Seed Grant Recipients  

Graph Foundation Models for Protein Conformational Dynamics | School of Chemistry and Biochemistry 

• PIs: Professor Peter Kasson, School of Chemistry and Biochemistry; Professor JC Gumbart, School of Physics; Assistant Professor Amirali Aghazadeh, School of Electrical and Computer Engineering
• Graduate student: Jeffy Jeffy
• Team statement: “The AI4Science Center’s seed funding will allow us to complete and test a prototype of our new deep learning architecture for protein dynamics. We're super excited about the project and happy that this gives us support to pursue our new idea.”

Combinations of Verified AI and Domain Knowledge for New Insights in Theoretical Physics | School of Physics

• PIs: Assistant Professor Aishik Ghosh, School of Physics; Professor Vijay Ganesh, School of Computer Science
• Graduate student: Piyush Jha
• Team statement: “This seed funding gives us an opportunity to connect two fields in a way that could transform our approach to certain problems in theoretical physics.”

Harnessing the Manifold Geometry of Neural Representations for Robust LLM Safety | School of Psychology 

• PIs: Assistant Professor Audrey Sederberg, School of Psychology; Assistant Professor Pan Li, School of Electrical and Computer Engineering
• Graduate student: Ruixuan Deng
• Team statement: “Our project injects insights from human neuroscience directly into AI safety algorithm design, allowing us to move beyond black-box approaches toward more interpretable and principled safety mechanisms. By closing the loop, these computational models will also provide new feedback and insights for neuroscience.”

A nationally respected aerospace and research leader, Gazarik has led large, complex research organizations across government, industry, and academia, shaping strategy, driving growth, and building institutions that deliver mission-critical innovation. With more than three decades of experience, his career reflects a deep ability to align technology with national priorities and guide organizations through periods of change and opportunity. 

A Georgia Tech alumnus, Gazarik currently serves as faculty director of the Engineering Management Program at the University of Colorado Boulder and as a part‑time staff member at the Johns Hopkins Applied Physics Laboratory. He previously held senior leadership roles at NASA, including director of engineering at NASA Langley Research Center and inaugural associate administrator for the Space Technology Mission Directorate (STMD). In industry, he spent eight years as vice president of engineering at Ball Aerospace, leading its strategic growth from an elite science contractor into a strategic national security asset that doubled in size.

“Mike Gazarik brings a rare combination of technical depth, executive leadership, and deep government experience,” said Tim Lieuwen, Georgia Tech’s executive vice president for Research. “He knows large research enterprises operate within the realities of policy and budget and has a proven ability to align technology with mission priorities while earning trust across stakeholders. We are excited to welcome Mike back to Georgia Tech to lead GTRI at a pivotal moment for research and innovation.”

GTRI employs more than 3,000 employees, conducting nearly $1 billion in annual research in areas such as autonomous systems, cybersecurity, electromagnetics, electronic warfare, modeling and simulation, sensors, systems engineering, and threat systems. GTRI’s renowned researchers combine science, engineering, economics, and policy to address challenges facing national security, industry, and society.

For nearly a century, GTRI has partnered with government and industry to deliver solutions to the most mission-critical challenges facing our nation,” said Georgia Tech President Ángel Cabrera. “We are proud to welcome Mike Gazarik to lead a crown jewel of our research enterprise and a crucial component of our nation’s science and technology fabric. His experience and leadership will strengthen GTRI’s ability to deliver on its mission and help make our nation safer, healthier, and more competitive.”

Gazarik is widely recognized for leading complex research enterprises with a focus on stability, strategic alignment, and mission impact. At NASA, he helped shape the agency’s science and technology enterprise during periods of fiscal constraint and technical risk, maintaining balance across broad mission areas and forming STMD to consolidate technology development. At Ball Aerospace, he guided significant growth and aligned strategy with evolving national security and civil space needs. His academic work has focused on preparing engineering leaders for mission-driven organizations — experience that aligns closely with GTRI’s role as a trusted partner to government and industry.

He earned a B.S. in electrical engineering from the University of Pittsburgh and an M.S. and Ph.D. in electrical engineering from Georgia Tech. Gazarik is a fellow of the American Institute of Aeronautics and Astronautics (AIAA), a former chair of AIAA’s Corporate Strategic Committee, and was elected to the AIAA Board of Trustees in 2025. His honors include NASA’s Outstanding Leadership Medal, the Silver Snoopy Award, the 2023 AIAA Rocky Mountain Section Educator of the Year, and recognition as Engineering Manager of the Year by the American Society of Engineering Management.

“GTRI has a remarkable legacy of delivering solutions that matter for the nation,” said Gazarik. “I’m honored to return to Georgia Tech and lead an organization that combines deep technical expertise with a mission-driven culture. My focus will be on listening, building on GTRI’s strengths, and ensuring we continue to advance research that makes a real difference for our partners and society.”

As director, Gazarik will lead GTRI’s multidisciplinary research enterprise, advancing its mission to deliver high‑impact science and technology solutions in support of national security, space systems, and critical societal needs.

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.
 

“I am honored to receive the fellowship and am deeply grateful to the AMS for this award,” says Chen. 

The Stefan Bergman Fellowship is the society's first award specifically for early-career mathematicians. It supports scholars advancing research in real analysis, complex analysis, or partial differential equations and may be used in whatever capacity most effectively enables their work.

“There is intense competition for the Stefan Bergman Fellowship, but the breadth and depth of Gong's remarkable contributions clearly stood out,” says School of Mathematics Chair Michael Wolf. “We are thrilled that we were able to attract Gong to our faculty, and we are pleased to hear of his well-deserved award."

Chen’s research has earned wide recognition and focuses on problems in mathematical physics through the lens of analysis. He studies dispersive partial differential equations, drawing on harmonic analysis and spectral theory. His work is motivated by the pursuit of a rigorous mathematical understanding of fundamental physical phenomena.

“I owe a profound debt of gratitude to my mentors for their guidance and support, especially my thesis advisor, Wilhelm Schlag. I would also like to thank my collaborators for their inspiration and support, and my family for their unwavering encouragement,” says Chen.

He earned a bachelor’s degree in mathematics, summa cum laude, from the University of Minnesota and received his Ph.D. in mathematics from the University of Chicago. Chen has been an assistant professor of mathematics at Georgia Tech since July 2022.

“The School of Chemistry and Biochemistry is thrilled to see that Neha Garg is included in the current WCC Rising Star cohort,” says School of Chemistry and Biochemistry Chair and Professor Vicki Wysocki. “She is richly deserving of this award, given her excellent work on the interactions between eukaryotes (e.g., humans) and the microbiome.”

Garg obtained her Ph.D. from the University of Illinois Urbana-Champaign and conducted postdoctoral research at UC San Diego (UCSD)'s Skaggs School of Pharmacy and Pharmaceutical Sciences. She has been at Georgia Tech since 2017.

“This award is a tremendous source of personal pride as it acknowledges my lab’s hard work in the field of microbial chemistry,” says Garg. “It’s especially meaningful that it's a WCC award because it serves as a powerful platform for me to inspire young women.”

She adds that visibility remains essential for advancing women in STEM.

“Imposter syndrome is real, so awards like this are important for women in science,” explains Garg. “I’m grateful this recognition exists, and I’m proud and happy to be honored.”

As part of the Rising Star Award, Garg will be honored at a WCC luncheon and deliver a scientific talk highlighting her career path and current research at the ACS Spring 2026 Meeting in March.

Chemical communication and connection

Garg’s lab studies the chemistry that underlies crosstalk between the human microbiome and its host. The microbiome includes vast communities of bacteria living on and inside the body — from the skin and mouth to the gut, reproductive system, and lungs. Her group examines how these microbes and human tissues exchange information through small molecules.

“Our work aims to understand the chemistry of collaboration between the microbiome and its host,” says Garg. “We focus on the lungs and airways, studying how epithelial cells and microbial communities interact through nutrients and microbial compounds. These molecules form a chemical dialogue, and my lab builds models to decode and investigate it.”

By mapping this communication network, Garg hopes to shape future therapeutic strategies.

“Understanding collaboration between the microbiome and the host will help develop microbiome-targeted therapies,” she explains. “These therapeutics could prevent respiratory infections, promote the growth of beneficial bacteria, limit harmful bacteria, or influence host tissues in ways that improve health.”

Her work also extends to marine systems. Garg’s team studies similar chemical interactions between microbes and corals, offering insight into ecosystem resilience and ocean health.

Garg was co-nominated by Pieter Dorrestein, professor at UCSD’s Skaggs School of Pharmacy and Pharmaceutical Sciences, and Bradley Moore, distinguished professor of marine chemical biology and director of the Center for Marine Biotechnology and Biomedicine at UCSD’s Scripps Institution of Oceanography. Moore also serves as a distinguished professor at the UCSD Skaggs School of Pharmacy and Pharmaceutical Sciences.

“She’s a multidisciplinary wizard leading a revolution in functional metabolomics,” says Moore. “Neha gives me great hope for a better tomorrow in science.”

“Neha is a remarkable scientist taking on deeply compelling questions in metabolic communication,” adds Dorrestein. “Her leadership, integrity, and commitment to mentorship make her a true role model for emerging scientists.”

Awards and accolades

Garg has earned numerous honors throughout her career, including the Royal Society of Chemistry's 2024 Natural Product Reports Emerging Investigator Lectureship Award, the 2023 ACS Academic Young Investigator Award from the Division of Organic Chemistry, Georgia Tech’s 2022 Junior Faculty Teaching Excellence Award, and a 2021 NSF CAREER Award. While working on her Ph.D. at the University of Illinois Urbana-Champaign, she received the Anne A. Johnson Work Award for Excellence in Biochemistry, which recognizes one female student per year for excellence in Ph.D. thesis research.

Culture and community at Georgia Tech

Garg credits her experience at Georgia Tech — and the Institute’s strong support of women in STEM — for shaping her path as a scientist and mentor. She praises the collaborative environment, helpful colleagues, and the number of women in leadership roles. Garg also appreciates the work of Georgia Tech organizations such as Women+ in Chemistry and the Center for the Study of Women, Science, and Technology.

“Georgia Tech provides a supportive, collegial, and respectful environment where women in STEM can thrive and truly make a difference,” says Garg.

The interactive dashboard compiles and visualizes data gathered by Matisoff, along with Program and Operations Manager Michael Morley, offering a comprehensive view of SAF production, feedstock availability, and policy trends.

EPIcenter Research Associate Yang You has designed the dashboard to translate complex datasets into policy-relevant insights for decision-makers. By organizing key metrics into interactive visuals, the dashboard helps stakeholders assess market readiness and identify regulatory actions that could accelerate SAF adoption.

Emphasizing the importance of data-driven insights, Matisoff said, “The Department of Energy has a Grand Challenge to produce 3 billion gallons a year of Sustainable Aviation Fuel by 2030, and 35 billion gallons a year by 2050. By compiling and visualizing SAF data, we can help policymakers and researchers understand progress towards these goals, where the key opportunities and bottlenecks are – and how to move forward effectively”. 

Why SAF Matters
While aviation only accounts for about 3% of global greenhouse gas emissions, it is a rapidly growing share, and decarbonizing this sector is considered one of the most challenging aspects of the energy transition. Produced from renewable feedstocks, sustainable aviation fuel offers a pathway to reduce lifecycle emissions from air travel without requiring major changes to aircraft or infrastructure. However, SAF production and deployment face hurdles related to cost, supply chain development, and policy support.

EPIcenter’s Director Laura Taylor highlighted the dashboard’s role in addressing these challenges:
“Sustainable aviation fuel is a cornerstone of decarbonizing air travel, but the market is complex and rapidly evolving. The dashboard provides clarity by organizing the relevant data in a way that’s accessible and actionable for decision-makers.”

“This tool is meant to bridge analysis and action,” said You. “By visualizing SAF production, capacity, and offtake dynamics, the dashboard allows policymakers and stakeholders to see where the market is moving, where gaps remain, and how targeted infrastructure investments or supportive policies could unlock scale.”

The EPIcenter SAF Dashboard is intended as a resource for industry leaders, policymakers, and researchers working to accelerate SAF adoption. By providing transparent, data-driven insights, Georgia Tech aims to support informed decisions that advance innovation and sustainability in aviation.

To explore the dashboard and learn more about Georgia Tech’s work on sustainable aviation fuel, visit EPIcenter’s SAF page. 

The award will support the design of nature-based solutions including living shorelines and marsh restoration in flood-prone areas of Camden County, Georgia, adjacent to Naval Submarine Base Kings Bay, Cumberland Island National Seashore, and the city of St. Marys. 

“Restoring wetlands in Camden County is not just an environmental priority — it’s a resilience strategy for the entire region,” says principal investigator (PI) Joel Kostka, Tom and Marie Patton Distinguished Professor, associate chair for Research in the School of Biological Sciences, and faculty director of Georgia Tech for Georgia’s Tomorrow. “Each acre of restored marshland protects coastal communities from natural hazards like storms and flooding, provides essential marine habitat, and has the potential to aid the Navy and the Army Corps of Engineers in developing management alternatives for dredged materials. When our wetlands flourish, our whole coastline does.”

In addition to Kostka, co-PI’s include University of Georgia (UGA) Skidaway Institute of Oceanography Director Clark Alexander, UGA Associate Professor Matt Bilskie and Professor Brian Bledsoe, The Nature Conservancy Coastal Climate Adaptation Director Ashby Worley, and Georgia Tech alumnus Nolan Williams of Robinson Design Engineers, a firm dedicated to the engineering of natural infrastructure in the Southeast that is owned and operated by Georgia Tech alumnus Joshua Robinson.

A coastal collaboration

The new project, known as a “pipeline project” by NFWF,  builds on multiple resilience plans and years of previous research conducted by the established team. “This is a testament to the value of the long-term collaborations and partnerships that enable coastal resilience work,” Kostka says. “We’re working closely with local communities and a range of city, state, and federal stakeholders to ensure these solutions align with local priorities and protect what matters most.”

It’s not the first time that the team has brought this type of collaboration to the coastline. Since 2019, Kostka has worked alongside the South Carolina Department of Natural Resources, the South Carolina Aquarium, and Robinson Design Engineers in a $2.6 million effort to restore degraded salt marshes in historic Charleston, also funded by NFWF. Now in the implementation phase, much of the marsh restoration in Charleston involves planting salt-tolerant grasses, restoring oyster reefs, and excavating new tidal creeks — work that is being spearheaded by local volunteers.

“Coastal resilience isn’t something one group can tackle alone,” Kostka adds. “That shared, community-driven vision is what makes these projects possible.”

However, most popular AI-powered chatbots are not trained to recognize when someone is in crisis. LLMs also cannot determine when to refer someone to a human specialist.

New Georgia Tech research projects that address these issues may soon provide people seeking mental health support with safer experiences. 

Google has awarded research grants to three faculty members from the School of Interactive Computing to study artificial intelligence (AI), trust, safety, and security. The grants were among dozens awarded by the company to researchers across the country.

Professor Munmun De Choudhury, Associate Professor Rosa Arriaga, and Associate Professor Alan Ritter are among the recipients of the 2025 Google Academic Research Awards. 

Their projects will explore questions like:

• What harms could occur if people consult LLMs for mental health advice?
• Which groups are most at risk of receiving harmful guidance?
• When should an LLM stop responding and refer someone to a human professional?

De Choudhury and Arriaga will examine how LLMs might harm people seeking mental health care.

De Choudhury’s work focuses on spotting when chatbot conversations go wrong and lead users toward self-harm. She is also studying design changes that could prevent these situations.

Her project, Exiting Harmful Reliance: Identifying Crises & Care Escalation Needs, is in partnership with Angel Hsing-Chi Hwang from the University of Southern California. Together, they will review real and synthetic chat transcripts with clinicians to find language patterns that signal risk.

“A chatbot will always give a response and keep talking to you for however long you want,” De Choudhury said. “That may not be a good thing for someone in crisis. We need to know when the right response is to stop and suggest talking to a human.”

Understanding Risks for Low-Income Users

Arriaga’s project, Dull, Dirty, Dangerous: Investigating Trust of Digital Resources Among Low-SES Mental Health Care Seekers, looks at how LLMs affect people with low socioeconomic status (SES).

Dull, dirty, and dangerous is a phrase used to describe work that is well-suited for robot automation because they are repetitive, physically taxing, or hazardous for humans. Arriaga said she adapted these terms for her research to create a taxonomy of the harms AI can cause to people seeking mental health care.

Arriaga also wants to label the trust factors that chatbots have that attract low-SES users to seek their advice, and how these may differ for adults and adolescents across contexts. 

“We know one of the reasons some users go to LLMs is because they aren’t insured and can’t afford a therapist,” she said. “LLMs are available 24-7. Maybe it doesn’t start as a trust issue. Maybe it starts with availability. 

“Some of these human-AI conversations that result in harmful mental health advice didn’t begin on the topic of mental health. In one case, the person started going to the machine for help with homework.

“Then this relationship evolved into personal matters. Should we constrain the system to limit itself to helping someone with their homework and not wander off that subject into mental health matters?”

Managing Privacy Risks for Social Media

Ritter will use the Google award to advance research on social media privacy tools, including interactive AI agents that help people make more informed decisions about what they share online.

His project, AI Tools to Help Users Make Informed Decisions About Online Information Sharing, focuses on reducing privacy risks in both text and images by identifying when posts reveal more than users intend.

“We’ve been developing methods to assess risks in text, and now we’re extending that work to images,” Ritter said. “People post photos without realizing how easily they can be geolocated by advanced AI systems. A casual selfie near home might contain subtle cues about where you live, like a street sign, that reveal private details.”

The project aims to create AI agents that review content within user posts, flag elements that pose risk, and suggest safer alternatives. Ritter said he wants people to maintain control over their privacy without limiting freedom of expression.

Ritter will deploy advanced reasoning models capable of probabilistic privacy estimation. These systems can infer how identifiable a piece of text might be or how likely an image is to reveal a user’s location.

For images, Ritter and his collaborators will use models that identify geolocatable features, allowing users to edit or hide them before posting.

For more on Ritter’s research, read how an LLM he co-developed protects the privacy of users on social media.

The College of Computing named Professor Rich Vuduc as director of the Center for Scientific Software Engineering (CSSE). The Georgia Tech hub is dedicated to building reliable, high-performance software for scientists.  

Under Vuduc’s leadership, CSSE strives to accelerate the pace and increase the quality of scientific discovery by developing custom software tools and best practices tailored to researchers’ needs.

“There is a reproducibility and reliability problem right now with scientific software,” Vuduc said. “The promise of CSSE is to leverage capabilities shared between Georgia Tech, Schmidt Sciences, and industry experts to address this problem.” 

Issues arise because scientists often need to develop their own software for experiments or data analysis. However, troubleshooting coding issues and other bugs can slow down research.

To assist these scientists, CSSE receives their input to create custom software tools and best practices. The center employs professional software engineers who build and deliver products tailor-made to the needs of researchers at Georgia Tech and broader scientific communities.

Beyond its research focus, CSSE helps Georgia Tech fulfill its educational mission. The center provides students with direct access and exposure to real-world software engineering.

As the center enters its third year, Vuduc wants to better prepare students for employment by enhancing their hands-on experience while learning from CSSE engineers.

To achieve this goal, Vuduc is working to establish a Ph.D. fellowship program in which CSSE engineers mentor students. This program would connect academic inquiry with industry expertise, creating the next generation of dynamic leaders in computational science.  

Vuduc also envisions pairing CSSE with Georgia Tech’s Vertically Integrated Projects (VIP) program. This approach would allow undergraduate students to earn class credit while working with CSSE engineers on large software engineering projects spanning multiple semesters.

“The center gives our students access to something that is very unique to find in a university environment,” Vuduc said. 

“The software engineers in CSSE mostly come from industry. They have over 65 years of combined experience doing real-world software engineering that students can learn from.”

Vuduc is a 2010 recipient of the Gordon Bell Prize and a leading expert in high-performance computing (HPC). He was a finalist for the award in 2020 and 2022.

The Gordon Bell Prize, often referred to as the Nobel Prize in supercomputing due to the scope and magnitude of research it recognizes, celebrates achievement in HPC research and application. 

Vuduc joined Georgia Tech in 2007 as one of the first faculty hired for the new Division of Computational Science and Engineering (CSE). Not a stranger of leading new units, he saw CSE begin offering M.S. and Ph.D. degrees in 2008 and attain school status in 2010.  

Since 2021, Vuduc has served as co-director of the Center for Research into Novel Computing Hierarchies (CRNCH). 

CRNCH is an interdisciplinary research center at Georgia Tech that explores technologies and approaches that will usher the next generation of computing. Areas CRNCH studies include quantum computing, brain-inspired computing, and approximate computing. 

Vuduc will step down as CRNCH co-director to fulfill his role as CSSE director. The College of Computing will lead a search for CRNCH’s next co-director.

“In a sense, the CRNCH to CSSE transition was partly a natural one because one thing that contributes to software challenges is that hardware platforms are also changing and evolving very rapidly,” said Vuduc. 

“People are exploring radically new hardware systems and we will have to write software configured for those too. Centers, like CRNCH and CSSE, strongly position Georgia Tech to lead these endeavors.” 

Alessandro (Alex) Orso, the previous CSSE director, departed Georgia Tech earlier this year to become dean of the University of Georgia’s College of Engineering. Orso and Distinguished Professor Irfan Essa wrote the proposal to bring CSSE to Georgia Tech.

Georgia Tech formed CSSE in 2022 after securing an $11 million grant from Schmidt Sciences. Former Google CEO Eric Schmidt and his spouse, Wendy Schmidt, founded the philanthropic venture that funds science and technology research and talent networking programs. 

Georgia Tech’s CSSE is part of Schmidt Sciences’ Virtual Institute for Scientific Software (VISS) program. This network helps scientists obtain more robust, flexible, scalable open-source software. 

Schmidt Sciences is investing $40 million in VISS over five years at four universities: Georgia Tech, University of Washington, Johns Hopkins University, and University of Cambridge.

CSSE uses the funding to employ a software engineering lead, three senior and two junior software engineers. The Schmidt Sciences grant equips these engineers with computing resources to build scientific software. Along with the director, an advisory board guides the group’s work to meet the point of need for scientists in the field. 

“I am grateful to Schmidt Sciences for their support of CSSE. It aligns with our college’s strategic goals and expertise in scientific software, and I am delighted that Rich has agreed to take on this important role,” said Vivek Sarkar, Dean and John P. Imlay Jr. Chair of Computing.

“I know that Rich is committed to growing CSSE's internal and external visibility and long-term sustainability. I am confident that he will also help further socialize CSSE among internal stakeholders across Georgia Tech.”

Despite their importance, most of what scientists know about proteins only comes from a small sample size. This stands in the way of fully understanding how most proteins work and unlocking their full potential.

Georgia Tech’s Yunan Luo believes artificial intelligence (AI) could fill this knowledge gap. The National Science Foundation agrees. Luo is the recipient of an NSF Faculty Early Career Development (CAREER) award. 

“So much of biology depends on knowing what proteins do, but decades of research have concentrated on a relatively small set of well-studied proteins. This imbalance in scientific attention leads to a distorted view of the biological landscape that quietly shapes our data and our algorithms,” Luo said.

“My group’s goal is to build machine learning (ML) models that actively close this gap by generating trustworthy function predictions for the many proteins that remain understudied.”

[Related: Yunan Luo to use AI for Protein Design and Discovery with Support of $1.8 Million NIH Grant]

In his proposal to NSF, Luo coined this rich-get-richer effect “annotation inequality.” 

One problem of annotation inequality is that it slows progress in disease prognosis, drug discovery, and other critical biomedical areas. It is challenging to innovate the few proteins that scientists already know so much about. 

A cascading effect of annotation inequality is that it diminishes the effectiveness of studying proteins with AI.  

AI methods learn from existing experimental data. Datasets skewed toward well-known proteins propagate and become entrenched in models. Over time, this makes it harder for computers to research understudied proteins. 

“Protein annotation inequality creates an effect analogous to a vast library where 95% of patrons only read the top 5% popular books, leaving the rest of the collection to gather dust,” Luo said.

“This has resulted in knowledge disparities across proteins in current literature and databases, biasing our understanding of protein functions.”

The NSF CAREER award will fund Luo with over $770,000 for the next five years to tackle head-on the problem of protein annotation inequality.

Luo will use the grant to build an accurate, unbiased protein function prediction framework at scale. His project aims to:

• Reveal how annotation inequality affects protein function prediction systems
• Create ML techniques suited for biological data, which is often noisy, incomplete, and imbalanced  
• Integrate data and ML models into a scalable framework to accelerate discoveries involving understudied proteins

More enduring than the ML framework, Luo will leverage the NSF award to support educational and outreach programs. His goal is to groom the next generation of researchers to study other challenges in computational biology, not just the annotation inequality problem.

Luo teaches graduate and undergraduate courses focused on computational biology and ML. Problems and methods developed through the CAREER project can be used as course material in his classes.

Luo also championed collaboration with Georgia Tech’s Center for Education Integrating Science, Mathematics, and Computing (CEISMC) in his proposal. 

Through this partnership, local high school teachers and students would gain access to his data and models. This promotes deeper learning of biology and data science through hands-on experience with real-world tools.  

Luo sees reaching students and the community as a way of paying forward the support he received from Georgia Tech colleagues. 

“I am incredibly grateful for this recognition from the NSF,” said Luo, an assistant professor in the School of Computational Science and Engineering (CSE). 

“This would not have been possible without my students and collaborators, whose hard work laid the groundwork for this proposal.”

Luo praised CSE faculty members B. Aditya Prakash, Xiuwei Zhang, and Chao Zhang for their guidance. All three study machine learning and computational bioscience, two of CSE’s five core research areas. 

Luo also thanked Haesun Park for her support and recommendation for the CAREER award. Park is a Regents’ Professor and the chair of the School of CSE.

University research drives U.S. innovation, and Georgia Institute of Technology is leading the way.  

The award — named in recognition of Carl Gans’ contributions to animal morphology, biomechanics, and functional biology — is one of the highest honors from the Society for Integrative and Comparative Biology (SICB), and recognizes Manafzadeh’s “exceptional creativity and originality in comparative biomechanics research as well as her strong mentoring contributions.”

“I’m very fortunate to have done science with incredible mentors, collaborators, and students who’ve helped me develop this body of research,” she says. “I’m grateful to be recognized with the Carl Gans Award, and look forward to continuing to explore new ways to study biomechanics when I start my lab at Georgia Tech.”

The new Manafzadeh Lab at Georgia Tech will investigate how joints work and where they come from — both evolutionarily and developmentally. With powerful new technology, called X-Ray Reconstruction of Moving Morphology (XROMM), Manafzadeh can look inside bodies with 4D “X-ray vision” — and can create animations of moving skeletons with sub-millimeter precision. 

“This research has the potential to transform our understanding of animal motion,” she says, “and that can ultimately open doors to everything from personalized surgical treatments for people to new designs for bio-inspired robots.”

As part of the award, Manafzadeh will deliver a plenary speech on “Joints: Form, Function, and the Future of Comparative Biomechanics” this January at the annual SICB meeting in Portland, Oregon.

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