The surrounding trees resemble those of a eucalyptus forest, which could indicate northern Portugal or the Spanish region of Galicia.

It’s the signposts on the road that give it away. They are flat and wide, which is common in Spain but not in Portugal.

Casapu, a master’s student in Georgia Tech’s School of City and Regional Planning, correctly reasons that the picture of a road he’s looking at is in Galicia.

Give Casapu a photo, and he will likely be able to tell you where it was taken. 

“I start with infrastructure clues that are specific to a country, region, state or province,” Casapu said. “They include roads or electricity poles, which often remain consistent throughout a country. Once you narrow down the country, you can use more specific factors like vegetation, specific landscapes, or architecture, because these are very nuanced. It’s a top-down approach.”

This is why Casapu is the reigning GeoGussr World Champion — and the ideal expert to test vision-language models (VLMs) on how good they are at geolocation.

GeoGuessr is a geography browser game launched in 2013 that invites players to guess the location of random Google Street View images. Casapu was already known as one of the top players in the world before he won the third annual GeoGussr World Championship in September.

At the beginning of the spring 2025 semester, School of Interactive Computing professor James Hays reached out to Casapu and invited him to collaborate on a new project. Hays was looking to create a dataset to evaluate VLMs' geolocation ability and reasoning. 

“VLMs are surprisingly good at geolocation right out of the box, even when they’re not trained to be good at it,” Hays said.

Hays and his colleagues, associate professors Alan Ritter and Wei Xu, took issue with many AI companies claiming that the VLMs they were releasing were not good at geolocation.

“When Open AI released GPT 4 Vision, there were privacy concerns about the model’s ability to geolocate someone based on photos they’ve shared on the internet,” Ritter said. “Open AI said this wasn’t a concern and claimed the model wasn’t good at geolocation beyond being able to recognize a city or famous monument. We found that wasn’t the case. These VLMs are state-of-the-art at image geolocation tasks.”

Show Your Work

Hays and Ritter enlisted a team of some of the world’s top geolocators. It consisted of Casapu, Joshua Diao, a master’s student in computer science, and Tejas Santanam, a Ph.D. student in industrial engineering. They each received 500 images to geolocate.

Team members recorded their reasons for each of their answers. The result was GeoRC, the first benchmark for VLM geolocation performance, consisting of 800 “ground truth” reasoning chains. 

Hays and Ritter gave the same images to GPT 5, Gemini, Llama, and Qwen. The highest-performing model geolocated with 90% accuracy — not far off from the team’s 96% score.

However, a major distinction showed up in the reasoning chains. While Casapu and Diao provided clear explanations for how they deduce each location, the VLMs either couldn’t provide reasoning for their guesses or were vague in their answers.

“The research community has been demanding explanations from these models,” Hays said. “For example, how do they know the location is in Italy?”

Hays has been researching this subject for almost 20 years. As a Ph.D. student at Carnegie Mellon University in 2008, he was the first researcher to take a machine learning approach to geolocation. He introduced a new algorithm that could estimate a geographic location from a single image.

“When experts have audited these reasoning chains, we’ve noted many suspicious or hallucinated attributes,” he said. “When they hallucinate a geographic property, why is it so often consistent with the correct guess?

“I believe they’re not revealing the true reasoning pathway that they used to determine the image was Italy. They’re just implicitly recognizing that it was Italy for many reasons, then hunting for evidence to support that. Some of the things they say are true and supported by the image, and some are fabrications.”

Practice Partner

Casapu said there may be only a handful of GeoGuessr players who can currently outperform some top-tier VLMs in geolocation, and it may not be long before no one can.

“I think it could be more difficult playing against these models than playing against another human because a human has the possibility of making mistakes at the top level,” Casapu said. “If a well-trained model has that level of consistency, that is far beyond a normal person, and it would be much more difficult to beat.”

He added that working with Hays and competing against a machine improved his skill level and provided valuable practice ahead of the world championship. 

“It helps to take a step back and see why you’re making the guesses that you are,” he said. “Since then, I’ve taken a more methodical approach to how I practice. Writing these things down is a great way to see what you know and see why you make the guesses that you do. It’s been a great training tool.”

Casapu will defend his title at the 2026 GeoGussr World Championship in September.

Hays, Ritter, Xu, Casapu, Diao, and Santanm are all co-authors of a paper on GeoRC along with lead author Mohit Talrej and Ph.D. students Ethan Mendes and Jim Thannikary. The paper will be presented next week at the 64th Annual Meeting of the Association for Computational Linguistics (ACL) in San Diego.

Six years after demonstrating that membranes could separate crude oil at the molecular level, Georgia Tech researcher Ryan Lively is part of an international team that has taken the concept a significant step further.

The team, including investigators at the Korea Advanced Institute of Science and Technology (KAIST), discovered that a membrane material widely believed to be non-selective for molecules as small as those found in crude can in fact selectively separate crude oil into lighter and heavier fractions in a way researchers did not expect. 

“Dingjing’s selection for this honor is a remarkable recognition of the originality, impact, and promise of her scholarship,” says School of Psychological and Brain Sciences Chair Tansu Celikel. “This achievement is especially significant for Georgia Tech as she is the first person from the Institute to receive this distinction and only the third recipient from the state of Georgia.”

Shi obtained her Ph.D. in Quantitative Psychology from the University of Virginia in 2020. After working as an assistant professor at the University of Oklahoma, she joined Georgia Tech in 2025.

“Receiving this award is an honor and a responsibility,” says Shi. “This international recognition of my early work encourages me to keep pushing the scientific boundaries of my field and to continue pursuing research that creates meaningful and lasting real-world impacts.”

Foundational Methodology Development

As a quantitative methodologist, Shi develops statistical and computational models that focus on reducing dimensionality (the number of attributes, features, or independent directions needed to describe an object, dataset, or mathematical space); improving classification; and enabling technology-based, real-time adaptive assessment in psychological, brain, biomedical, and health-related research. Specifically, her research transforms complex brain imaging outputs (such as MRIs and EEGs), real-time ecological assessments, and multi-sensor wearable streams into compact, information-rich representations, and she designs personalized, adaptive intervention systems to deliver context-aware and dynamically updated support for individuals.

Shi’s work has been funded by federal agencies such as the National Science Foundation, the National Institutes of Health, the Federal Aviation Administration, and the Department of Homeland Security. She was a recipient of the SAS Institute Advanced Statistical Fellowship as well as the Citation Abstract Award from the Society of Behavioral Medicine. 

“I’m excited to work at Georgia Tech in the School of Psychological and Brain Sciences because its strong focus on technology and psychological brain sciences aligns perfectly with my research program,” says Shi. “Being part of such a stimulating academic environment, with outstanding colleagues and talented students, makes it an ideal place to contribute, collaborate, and grow as a researcher and educator.”

For years, scientists studying the human gut have relied on a material that most people would never expect: a jelly made from mouse tumors. Called Matrigel, it is used to grow tiny, patient‑derived versions of the intestine that help researchers understand disease, test new drugs, and explore future therapies. However, since this material comes from animal tissue, it’s unpredictable, difficult to control, and limits medical applications. 

Communities across Georgia and the nation are navigating a range of economic and energy-related pressures. Gas prices, inflation, and the rapid growth of data centers are shaping the cost of goods and services, influencing everyday household financial decisions.

At the same time, ongoing geopolitical tensions are driving fluctuations in global oil markets and fuel prices. The expansion of AI data centers is also increasing demand for land, power, and water resources. And conflicts involving energy infrastructure in parts of the Middle East and Europe have affected supply stability.

Responding to these challenges requires careful analysis of emerging trends, supported by strong research in policy and economics. Faculty Affiliates of Georgia Tech’s Energy Policy and Innovation Center study these complex, interconnected issues affecting energy systems, costs, and access. They analyze emerging trends, evaluate policy options, and identify practical pathways forward.

Read Full Story on the EPIcenter News Page

This battle of the brains has also been playing out over the course of evolution, but not as a simple clash between old and new. 

“There was a theory proposed in the ‘50s that the brain evolved in layers starting with basic bodily functions, to emotions in the reptilian brain, leading up to sophisticated reasoning in humans,” explains Nabil Imam, an assistant professor in the School of Computational Science and Engineering and a faculty member with Georgia Tech’s Institute for Neuroscience, Neurotechnology, and Society (INNS). “This is not how an evolutionary biologist would think about the problem.”

Instead of a “new” brain layered over an “ancient” one — or even a logical brain versus an emotional one — research published in Science Advances reveals that brain evolution may come down to wiring. 

By studying the architecture of both biological and artificial brains, Imam’s team found that brain evolution is a strategic allocation of limited real estate. They propose a computational tug-of-war between two fundamentally different types of internal wiring — ones established even before birth.

This new understanding not only helps resolve a longstanding mystery in brain evolution but could also help us design more efficient AI systems.

The Problem With the “Lizard Brain”

When we refer to our “logical” or “lizard” brains, we’re really talking about different groups of brain regions. The logical brain is known as the neocortex, the brain’s outer layer responsible for vision, perception, reasoning, and other higher-level functions. For the lizard brain, the story gets a bit complicated.

“The limbic system, sometimes called the ‘reptilian brain,’ controls emotion broadly speaking — but it also has other components with distinct functions,” explains Imam. The system has separate regions for memory, smell, and navigation in addition to emotional regulation. “Why do people group all these different regions into one big system? There hasn’t been a good theory for what is common between these different circuits.”

To investigate, Imam’s team looked beyond individual regions to examine how these systems scale across species. Instead of comparing single areas based on function, the team analyzed how the limbic system and the neocortex change together across evolutionary history.

The result was remarkably consistent. When one component of the limbic system was larger, the others were also larger, while the neocortex was consistently smaller. These regions don’t vary independently. “Rather,” says Imam, “it’s a coordinated expansion of these regions across species.”

This reveals something new: The limbic system behaves not as a loose collection of functions, but as a unified network that expands and contracts as a group across evolution.

But what is driving this coordinated push and pull?

Maps Versus Barcodes

Imam argues that it comes down to how these different parts of the brain are wired before birth.

In the neocortex, neural circuits are organized as spatial maps. Areas that process touch in nearby parts of your body, like your index finger and thumb, are physically close to each other in the brain. The same is true for sight and sound. 

Wires in the limbic system, however, are not spatially organized. They function more like a bar code, firing in unique, distributed patterns to represent specific scents or complex memories.

To test whether this was an innate trait or acquired through experience, the team developed AI models for different senses. They found that when they pre-wired an AI with localized, spatial connectivity, the network was naturally very good at processing vision, sound, and touch information. Conversely, distributed, “barcode-style” networks were essential for the AI to excel at scent recognition and memory.

The Evolutionary Tug-of-War

The final piece of the puzzle explains how the size of brain components changes predictably across species. Because resources like space and energy are limited, natural selection chooses which system to prioritize.

The team simulated evolution by creating a multimodal network where the spatial and distributed domains competed for “real estate.” When the environment rewarded smell, all areas of the distributed system expanded and the neocortex shrank. When vision was rewarded, the opposite occurred.

This explains why the nine-banded armadillo, which relies on scent, has a massive limbic system, while the highly visual squirrel monkey is dominated by its neocortex. Across the 182 species studied, the research shows that brain evolution is not about adding new layers of "logic," but about strategically reallocating space between different wiring systems to support survival.

By translating this biological architecture to AI systems, engineers could create machines that learn as efficiently as the human brain, requiring far less data and energy.

“Today's artificial neural networks are trained by vast amounts data — it’s about nurture,” says Imam. “But the brain is not a blank slate that gets trained by experience. It is a mix of nature and nurture, and the nature is that pre-wired architecture.” 

“We could translate that architecture to AI systems to make it more brain-like, or make it learn or function as efficiently as the brain.”

This work was a collaboration with Cornell University and was supported by the National Science Foundation.

DOI: doi.org/10.1126/sciadv.aec6112

The latest rankings build on a record year for Georgia Tech commercialization. In 2025, the Institute reported advancing hundreds of technologies toward the marketplace, while achieving record levels of invention disclosures, issued patents, and licensed technologies. Those milestones underscore Georgia Tech’s expanding role in transforming research discoveries into products, companies, and partnerships that create economic and societal value.

“The strong performance reflects a commercialization strategy focused not only on protecting IP, but also on helping researchers translate discoveries into practical applications,” said Raghupathy “Siva” Sivakumar, chief commercialization officer at Georgia Tech. “Whether through licensing technologies, launching startups, or partnering with industry, we are building pathways that help researchers transform discoveries into real-world solutions.” 

From advanced health technologies to environmental monitoring tools and next-generation aerospace ventures, Georgia Tech innovations are reaching users and markets in increasingly diverse ways. One example is Kinemo, a startup developed through Georgia Tech research that is helping people with limited mobility regain independence through wearable assistive technology. Founded by researchers from the College of Engineering, Kinemo uses physiological sensing and small intentional movements to enable users to control digital devices. The company works closely with clinicians and patients at Shepherd Center to refine the technology and expand accessibility for individuals living with spinal cord injuries and mobility limitations.

Another example is Skopii, a startup launched from research in the lab of environmental engineering professor Ameet Pinto. The company is commercializing portable imaging and artificial intelligence technology that enables users to rapidly analyze microorganisms in water and environmental systems, eliminating the need for lengthy laboratory testing. The technology has the potential to improve decision-making for water utilities, food production systems, and environmental monitoring efforts.

As research institutions face increasing pressure to demonstrate impact beyond publications and laboratory discoveries, Georgia Tech continues to show how world-class research can translate into technologies, startups, jobs, and solutions that improve lives. The latest AUTM rankings provide another measure of that success, highlighting an innovation ecosystem that consistently moves ideas from the lab to the marketplace.

Startups such as Kinemo and Skopii illustrate the broader commercialization approach reflected in Georgia Tech's AUTM rankings. 

T1D is caused by the autoimmune destruction of insulin-producing pancreatic beta cells, requiring individuals to manage their blood glucose levels through lifelong insulin therapy. Transplanting pancreatic islets has long been investigated as a potential curative treatment, but long-lasting success in extrahepatic sites has been limited—particularly when islets are transplanted beneath the skin—due to poor blood vessel formation, immune rejection, and cellular stress following transplantation.

Vlahos’ research addresses these limitations by combining synthetic biology and tissue engineering in a new way: engineering cells to actively reshape their local environment after transplantation to make it more hospitable for the graft. Rather than relying solely on biomaterials or porous structures to support transplanted cells, the project focuses on programming the cells themselves to sense stress and respond dynamically.

Read the full story.

Artificial intelligence isn't just changing the way we think about human intelligence — it's changing the way we study the mind. "In recent years," says School of Psychology Assistant Professor Ratan Murty, "it has become very apparent to us that we have new ways to study the brain." 

Those new methods were top of mind as over 100 researchers from across Atlanta gathered for this year’s Computational Cognition Conference (CoCo Con). Hosted by Georgia Tech’s Center of Excellence in Computational Cognition (CoCo) on March 13, the conference allowed researchers from Georgia Tech and beyond working at the intersection of the mind and advanced computing to gain insights into both human cognition and artificial intelligence. 

CoCo itself is “a hub for research, education, and community” housed within the Georgia Tech School of Psychology says Robert Wilson, associate professor in Psychology and director of CoCo. Launched in 2023, the center is home to more than 50 affiliate faculty and 100 trainees across Georgia Tech, Atlanta, and beyond using computational methods to study the mind. Through chalk talks, educational programs, and conferences like CoCo Con, the center aims to rethink how we approach the study of the mind. 

The conference featured multidisciplinary talks spanning the full breadth of computation cognition — from exploration and avoidance in anxiety, what makes music memorable, the theory of mind in humans and machines, dynamic drift diffusion modeling, and the structure of memory for narratives — overall highlighting the interdisciplinary nature of the field. 

Additionally, the day featured a robust poster session highlighting work by the eight inaugural CoCo Pilot Grant recipients as well as other postdoctoral scholars, graduate students, and undergraduates doing computational cognition research at Atlanta-based institutions. In total, there were 20 posters ranging from the physics of cognition to naturalistic decision making and beyond.  

A running theme throughout the conference was the growing influence of cutting-edge technologies like artificial intelligence — and how researchers are preparing for the ethical, social and practical challenges that they bring. “The next operating system won’t run on your phone,” said DeBrae Kennedy-Mayo, senior academic professional in the Scheller College of Business and one of the conference speakers. “It will run on your brain.” With such rapidly advancing technology and the growing reach of computational cognition research, institutions like CoCo are looking to rethink the current practices of studying brain data in a modern light.  

Ending the conference was a panel discussion with researchers from across psychology, anthropology, and related fields to reflect on the future of brain research. Together, they explored what it means to do computational cognition research through the central question: What should be in the CoCo canon? 

The discussion emphasized that understanding what we are studying — and how we study it — is particularly important in an interdisciplinary field. While the narrative or canon of a field is defined by shared knowledge, skills, and history, computational cognition blurs those boundaries. Ultimately, as posed by Emory Department Chair and Professor of Anthropology Dietrich Stout, the field is “an interdisciplinary space trying to become a disciplinary space” within the vast array of sciences, technology, mathematics, and engineering.  

With or without a defined canon, the day underscored the importance of computational cognition for understanding not just how the mind works, but the future of cutting-edge technologies that shape how we approach the study of the mind. 

Through a major investment from the U.S. Department of Energy (DOE), Georgia Tech is helping accelerate the development of domestic critical minerals from unconventional and secondary resources. The $7.5 million award positions the Institute to advance supply chain solutions that span resource discovery, processing, recycling, and circular materials management.

Selected by DOE’s Office of Critical Minerals and Energy Innovation, Georgia Tech will lead the Critical Minerals in the Atlantic Seaboard Plain (CM-MAP) project. The regional effort builds on DOE’s Carbon Ore, Rare Earth, and Critical Minerals (CORE-CM) initiative and will examine potential resources across the Atlantic coastal plain.

The CM-MAP project will focus on sedimentary deposits, including kaolin, bauxite, heavy mineral sands, and phosphates, as well as legacy mining residues, coal combustion byproducts, and other unconventional and secondary resources that could support future recycling and circular economy opportunities.

Drawing on existing infrastructure, regional assets, industry bases, and scientific expertise, CM-MAP will establish a regional innovation ecosystem that supports domestic critical mineral production, recycling, and advanced manufacturing, while fostering new economic opportunities throughout the Southeast.

“This is a powerful example of how Georgia Tech brings together leading research capabilities and partnerships from industry, government, nonprofits, and national labs to address complex national challenges,” said Tim Lieuwen, executive vice president for Research. “By identifying and domestically sourcing critical minerals, we are helping secure essential supply chains, while enabling the next generation of energy and materials technologies.”

The DOE award builds on a growing network of research, industry, regional, and international partnerships led by Georgia Tech to translate scientific discovery into real-world supply chain solutions, including:

• Research leadership — Founded in 2024, Georgia Tech’s Center for Critical Mineral Solutions serves as a hub for interdisciplinary research and technology development across the Institute.
• Regional partnerships —Through the Georgia Partnership for Essential Materials, a flagship regional collaboration platform, Georgia Tech, the University of Georgia, Georgia State University, and the Georgia Mining Association convene stakeholders from across the critical minerals sector. The partnership brings together industry, nonprofit organizations, regional economic development agencies, national labs, universities, and technical colleges to connect, collaborate, and stay engaged in the latest developments.
• International engagement — A U.K.-U.S. working group extends partnerships across the Southeastern United States and Southwest United Kingdom, connecting researchers, industry leaders, and government agencies working to strengthen global supply chains.
• Georgia Critical Mineral Supply Chain Manufacturing Demonstration Center — Supported through congressional funding, the center is developing capabilities and regional supply chain demonstrations that connect resource development, materials processing, recycling, and advanced manufacturing.

As part of CM-MAP, researchers will analyze materials collected from natural deposits and industrial sites throughout the Southeast to identify their critical mineral content. The resulting large datasets will be combined with artificial intelligence and machine learning approaches to better understand and predict where resources exist, optimize extraction pathways, and inform future recovery and recycling strategies.

“This project brings together a highly collaborative team from Georgia Tech, national labs, industry partners, and research institutions across the region,” said Yuanzhi Tang, the principal investigator and Georgia Power Professor in the School of Earth and Atmospheric Sciences, with a courtesy appointment in the School of Civil and Environmental Engineering.

Tang is also the founding director of the Center for Critical Mineral Solutions and executive director of the Strategic Energy Institute. 

“Through this award, we are working to build secure and resilient critical materials supply chains, from resource discovery and characterization to processing, recovery, recycling, and advanced manufacturing, while also developing the skilled workforce needed to support these emerging industries,” Tang said. “Our vision is to create a regional innovation ecosystem that embraces both unconventional resources and circular economy approaches to maximize the value of materials already in use.”

Learn more about critical materials research and workforce development efforts at Georgia Tech by visiting the Center for Critical Mineral Solutions webpage.   

Gong Chen, assistant professor in the School of Mathematics, has received a $450,000 National Science Foundation Faculty Early Career Development (CAREER) Award to study the long-term behavior of solitons — coherent, particle-like waves observed across physics and mathematics.

While most waves spread out as they disperse (for example, ripples on water), a soliton is different: it can keep a coherent shape while moving, and in some cases, it can interact with other waves and still emerge recognizable afterward.

“Solitons are important because they appear across many areas of science, including fluid dynamics, optics, plasma physics, field theory, and models from mathematical physics,” says Chen. “From a mathematical point of view, they are a beautiful testing ground for understanding nonlinear behavior.”

Predicting Waves

According to Chen, a guiding idea in the field is that complex nonlinear waves may eventually resolve into a collection of stable solitons alongside dispersive radiation — the more diffuse portion of the wave that spreads out and weakens. Chen’s research focuses on how these waves behave over long periods of time, especially when multiple solitons interact.

“If we start with a complicated nonlinear wave, can we predict what it will look like far in the future?” asks Chen. “I want to understand not just whether a wave is stable, but how it evolves: how stability can fail, how energy is exchanged, and how complicated wave motion eventually organizes itself.” 

His work examines multi-soliton systems and more complex wave structures, including topological solitons, where long-range interactions and internal fluctuations make the mathematics more challenging. 

Chen is developing new mathematical frameworks tailored to these moving and interacting waves, including tools from spectral theory and nonlinear scattering. These approaches allow researchers to analyze wave behavior with new precision in settings where existing methods are limited.

A key part of this work involves nonlinear dispersive equations, which capture the competing effects that shape wave systems. 

“A complicated wave may contain several solitons, some radiation that spreads away, and small oscillations trapped near the solitons,” explains Chen. “Nonlinear dispersive equations allow us to ask precise questions: Which part of the wave persists? Which part disperses? How much energy is released during a collision? Does the system eventually simplify into solitons plus radiation?”

Although the work is theoretical, it strengthens the foundation for models used widely in science and engineering.

“A better theoretical understanding of solitons and dispersive waves improves the reliability of these models,” Chen says. “It helps us know when coherent structures should persist, when they should radiate energy, and when instability or collision effects may change the outcome.”

Beyond Research: Teaching and Impact

Chen plans to use the CAREER Award to integrate research and education. He is organizing a summer school focused on dispersive waves and developing new courses, including a second-level course in partial differential equations that emphasizes connections to physical phenomena.

“The CAREER Award provides the stability and long-term support needed to pursue a coherent research program rather than isolated projects,” says Chen. “For me, the award is especially meaningful because the research and education components are closely connected.”

Chen aims to help students connect mathematical theory with real-world phenomena. 

For Chen, that connection is what makes the field compelling.

“One point I would emphasize is that soliton dynamics is a place where abstract mathematics meets very intuitive physical pictures,” says Chen. “Understanding when that particle-like behavior persists, when it breaks down, and what remains afterward is both mathematically deep and scientifically natural.”

The NSF Faculty Early Career Development Program is a five-year grant designed to help promising researchers establish a foundation for a lifetime of leadership in their field. Known as CAREER awards, the grants are NSF’s most prestigious funding for early-career faculty.

As fans around the world search for tickets to FIFA World Cup 2026 matches, a team of Georgia Tech students is working to make buying tickets to major events less stressful and more transparent. 

It affects up to one-third of the human population and can create symptoms severe enough to lead to hospitalization, yet much about what causes it remains a mystery. It’s rarely discussed in public, often goes undiagnosed, and remains a consistently underfunded and understudied area of science.  

The grant will support building a robotics and AI ecosystem for dexterous and mobile manipulation, enabling robots to move through environments, interact with objects, and adapt to changing conditions.

Ye Zhao, LIDAR director and associate professor in the George W. Woodruff School of Mechanical Engineering, leads the project, with Anqi Wu, assistant professor in the School of Computational Science and Engineering, serving as co-principal investigator.

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

FIFA President Gianni Infantino likened the scale of each game to that of a Super Bowl. The success of a tournament that large will rely heavily on technology, affecting everything from the players on the pitch, all the way to viewers at home.

On top of the state-of-the-art technology used at many large events, this World Cup will also see the debut of new technology. At the center of much of it will be electrical and computer engineering.

Experts from the Georgia Tech School of Electrical and Computer Engineering (ECE) weigh in on how the field is enabling the technology behind the world’s largest sporting event.

Read Full Story on the ECE News Page

Researchers at Georgia Tech say they have developed a system to help answer that question.

Known as FIRA, the tool analyzes drone crashes to determine whether they were caused by poisoned machine-learning (ML) models. The team will present its findings at the 35th USENIX Security Symposium in August. 

The research addresses a growing safety challenge as drones are increasingly used for deliveries, infrastructure inspections, and agriculture.

As drones rely more on machine learning to navigate and make decisions, they also become vulnerable to model poisoning attacks. In these attacks, adversaries manipulate an AI system during its learning phase, embedding hidden triggers that can cause failures under specific conditions.

“Machine learning drones are making more decisions in flight, which makes ML a safety-critical component of these systems,” said Yizhi Huang, Ph.D. student and lead researcher on the project. 

“When something goes wrong, investigators need a way to ask whether the model was responsible, but the model is the part of the system that no one can examine after a crash. FIRA gives investigators a way to investigate these cases by reconstructing what the model was doing during the crash. As more drones run with ML, this kind of forensic capability can help drones be used more effectively and safely.”

When a drone crashes, investigators must determine whether the cause was malicious interference, weather, or mechanical failure. Without reliable forensic tools, accountability is difficult to establish, and safety standards are harder to enforce.

FIRA identifies how drone components interact with machine learning models and monitors those interactions in real time, even with limited bandwidth.

The system functions like a flight recorder, capturing key system activity and reconstructing a timeline after a crash. It then analyzes the model’s behavior to determine whether a malicious trigger was introduced via poisoned ML training data.

In tests across multiple drone platforms and crash scenarios, FIRA identified failure causes and distinguished cyberattacks from environmental or mechanical issues.

The system does not require access to a drone’s source code, making it practical for real-world investigations.

“As commercial drone use expands, tools like FIRA could help improve accountability and trust in AI-powered systems operating in public airspace,” said Huang. 

FIRA: Enabling Automatic Forensic Investigation of Unmanned Aerial Vehicles was led by Georgia Tech’s Cyber Forensics Innovation Lab in cooperation with the Cyber-Physical Security Lab. These labs reside in the School of Cybersecurity and Privacy and the School of Electrical and Computing Engineering. 

School of Electrical and Computer Engineering (ECE) Assistant Professor Amirali Aghazadeh and Ph.D. student Daniel Saeedi have developed AstroAgents, an AI system that analyzes mass spectrometry data — detailed chemical compositions from meteorites and Earth soil samples — to generate novel hypotheses about the origins of life on the planet. 

What sets AstroAgents apart is its use of agentic AI. Unlike traditional AI systems that perform fixed tasks, this agentic system is designed to pursue a scientific goal. It draws from astrobiology literature, interprets complex data, and proposes original ideas that researchers can investigate further. 

Their paper, recently featured in the journal Nature, is opening new possibilities for how scientists explore questions that have remained unanswered for decades. 

In a special Q&A, Aghazadeh and Saeedi explain how AstroAgents analyzes space chemistry, what it’s revealing about the possible origins of life on Earth, and what they hope to explore next.

READ THE Q&A

It’s a role she knows well.

For more than 11 years, Stoinski has served as president, CEO, and chief scientific officer of the Dian Fossey Gorilla Fund, leading efforts to help the world better understand and protect Rwanda’s mountain gorillas — a species with only about 1,000 left in the wild.

Although she now oversees a multimillion-dollar budget and 400 employees worldwide, she never planned to be a CEO.

“I’m a scientist at my core,” says Stoinski. “Day to day, I function more as a leader and executive, but I still think of myself as a scientist first.”

Her job covers a wide range of responsibilities, including fundraising, public speaking, budgeting, and strategy. One week, she might find herself observing gorilla behavior in Rwanda; the next, she’s back in the U.S., discussing conservation on the popular Armchair Expert podcast. 

“I love my job,” she says. “It doesn’t feel like work; it’s a passion.”

A Helluva Scientist

One of the reasons Stoinski chose Georgia Tech for her Ph.D. was its connection to Zoo Atlanta.

Her doctoral advisor, the late Terry Maple, emeritus professor in the School of Psychological and Brain Sciences, served as director of Zoo Atlanta, giving students rare access to conservation-focused research.

“The zoo was our lab. I studied elephants, lemurs, gorillas, and golden lion tamarins, both in the zoo and in the wild in Brazil and Africa,” says Stoinski.

She appreciates how Georgia Tech prepared her for the challenges of her career.

“The rigor of a Georgia Tech education is something you need as a scientist,” she says. “I also had the opportunity to do a lot of public speaking and teaching, which are huge parts of my job now.”

Leading Global Conservation Efforts

After earning her Ph.D., Stoinski spent 14 years with Zoo Atlanta while also working with the Atlanta-based Dian Fossey Gorilla Fund. She became CEO in 2014 and now oversees conservation and research programs in Rwanda and the Democratic Republic of the Congo.

Under her leadership, the Fossey Fund has expanded its footprint, including opening its Ellen DeGeneres Campus in 2022, a 12-acre research and education center in Rwanda.

The site includes labs, classrooms, and a restored landscape, where roughly 250,000 plants from 110 species have been planted to reestablish native ecosystems.

“We host hundreds of students — including groups from Georgia Tech, and support dozens of graduate and postdoctoral researchers, from countries all over the world including many from Africa,” she explains. “Seeing their excitement and commitment gives me lots of hope for the future.”

Scientific Storytelling

A Gorilla Story follows the Pablo family of mountain gorillas living on the slopes of Volcanoes National Park in northwestern Rwanda.

“The Pablo group goes back to Dian Fossey’s time,” explains Stoinski. “It’s the largest group of gorillas ever recorded, at one point reaching 65 individuals. An average gorilla family is about 10.”

Due to Rwandan regulations, filming could take place for just one hour each day. Filmmakers and scientists would often have to hike for five to six hours to reach the gorillas.

Because Dian Fossey Gorilla Fund researchers have followed these gorilla families for decades, they were already familiar with the individual gorillas, including six generations of family history, which “makes the story incredibly rich,” says Stoinski.

“You see grief, relationships, alliances — all of it,” she says. “Ultimately, I hope that connection leads people to care and to take action.”

Collaborative Conservation

Stoinski’s career is all about taking action — and inspiring others to do the same.

“We need people on the ground doing this work, but we also need people outside of our field to support and be aware of what’s happening to gorillas and the planet’s biodiversity,” she says.

She encourages Tech students to stay informed:

 “Even if you’re not going into conservation, take a class, listen, learn,” she says. “Unfortunately, there are real challenges facing the next generation.”

She frequently points out that by helping gorillas, we’re saving ourselves, sharing that gorillas live in the Congo Basin, one of the most important ecosystems on Earth. By dispersing seeds and maintaining forest structure, they help sustain environments critical for climate stability and planetary health.

“Protecting gorillas means protecting those ecosystems, which ultimately support human survival.”

A Lasting Georgia Tech Connection

Stoinski maintains strong ties to Georgia Tech through research collaborations and student engagement. Projects over the years have included helping to establish the Center for Geographic Information Systems and Remote Sensing at the University of Rwanda, geospatial mapping, and architectural design and planning. 

She invites alumni and students to engage with the work firsthand.

“I encourage more Georgia Tech alumni and students to work with us or come see us. And if you want to meet with a Georgia Tech grad, I lead tours: we can put on our Tech gear and take a photo with the gorillas!”

Logically this makes sense and has been backed up by past security research. However, researchers at Georgia Tech have found hidden paths in cyber-physical systems that attackers can use to disrupt or even destroy them.

To find these hidden paths before an attacker does, the researchers built a testing tool called ICSFlux. This new tool leans on the physics used by the industrial process and maps out the system to find new threats that were once thought impossible. 

ICSFlux was deployed across 11 different programmable logic controllers in six industrial sectors, including chemical manufacturing, water treatment, power grids, aircraft, desalination, and waste processing. The process uncovered twenty genuine safety violations. 

In one case drawn from a chemical-plant simulation, an attack path uncovered by the tool drove a reactor past its safe pressure limit and into a simulated explosion. By using nothing but valid operator commands, the team took the reactor from a completely normal and stable state to critical territory. 

Because the method relies only on the physics of a process and not on the details of any one controller, the same tool worked across all six sectors without being rebuilt, and it reduced the search space by roughly 50%.

Burak Sahin, a Ph.D. student at Georgia Tech and the study's lead author, found that by sending a series of perfectly normal, fully authorized commands, intruders can slowly nudge a physical process toward a dangerous state. 

“These systems are usually judged safe as long as nobody hacks into them,'' Sahin said. “What we found is that an attacker who can send everyday commands, the same ones a normal operator sends, can patiently steer the process toward a failure. No single command looks wrong, which is exactly why the usual defenses miss it.''

Most existing tools assume an attacker can rewire the controller or change the software inside it. In the real world, those controllers are locked down and cannot be touched. ICSFlux takes the opposite and more realistic view. It treats the controller as a sealed box that cannot be opened and works only with the commands an operator is normally allowed to send.

Rather than measuring how much of a controller's software it has exercised, the usual yardstick for this kind of testing, ICSFlux measures how close the physical system is getting to an unsafe limit and steers its testing in that direction.

“Two different sensor readings can run through the exact same code and still send a reactor in completely different directions,'' Sahin said. “Looking only at the software tells you nothing about whether the physical system is safe. We had to follow the physics, not the code.''

One of the study's most important takeaways emerged when the researchers tightened the safety margins to see whether caution alone would help. Even when every command stayed within approved limits, the way the controller reacted to a steady stream of small adjustments could still cause pressure to overshoot and the reactor to fail. In other words, staying inside the rules was not always enough.

All of the team's experiments were carried out on secured, controlled test beds. The work was conducted with Georgia Tech's Cyber-Physical Systems Security Lab, whose research spans the security of cyber-physical systems from industrial programmable logic controllers to marine, automotive, and drone platforms. Georgia Tech's Cyber Forensics Innovation Laboratory, a team of researchers who work together to further the investigation of advanced cyber crimes and the analysis and prevention of next-generation malware attacks, also contributed to the paper. 

The labs are a collaboration between the School of Cybersecurity and Privacy and the School of Electrical and Computer Engineering. 

Fuzzing the Physical Space: Physics-Aware Testing of Black-Box Industrial Control Systems' was accepted to the 2026 IEEE Symposium on Security and Privacy. In addition to Sahin, the team includes Ph.D. students David Oygenblik, Mingxuan Yao, and Yizhi Huang as well as Associate Professors Brendan Saltaformaggio, and Saman Zonouz.

The workshop is part of Georgia Tech’s Advanced Manufacturing Pathways (AMP) program, a collaboration between the Georgia Tech Manufacturing Institute (GTMI) and Georgia Tech Research Institute (GTRI), which connects rural educators with hands-on manufacturing training. This particular training was delivered through a partnership between GTMI, STEM@GTRI — GTRI’s K-12 outreach program — and the George W. Woodruff School of Mechanical Engineering, leveraging the facilities and expertise of the Montgomery Machining Mall to provide teachers with direct experience in modern manufacturing. Building on GTRI’s Rural Computer Science Initiative, the program expands access to high-skill, high-wage career pathways across rural communities. The initiative is supported through state funding.

The workshop comes at a time when demand for skilled manufacturing workers continues to grow nationwide, particularly in roles requiring precision, technical expertise, and problem-solving.

Inside the Machine Shop 

The training took place June 3 – 5 in the Montgomery Machining Mall, where staff provided access to facilities, equipment, and technical expertise that made the immersive learning experience possible.

Teachers designed and manufactured a metal meat tenderizer and a metal coaster etched with both the Georgia Tech logo and their name. For many, this was their first exposure to advanced manufacturing tools and processes, and a glimpse into high-skill, high-wage careers within reach for their students.

“Many of these teachers have never been exposed to any advanced manufacturing,” said Sean Mulvanity, a program manager for STEM@GTRI and project lead for this workshop. “By the time they walk out of here, they’ve actually created and manufactured physical items they can take back to their students.” Unlike traditional professional development, the workshop places teachers directly in the machine shop, working on heavy equipment. 

For AMP program leaders, this pilot was a way to build momentum for school districts that may add advanced manufacturing courses and to make the machine shop feel less intimidating in the process. 

“One of the biggest misconceptions about modern manufacturing is that it is inaccessible or limited to specialized factory environments,” said GTMI Deputy Director Steven Ferguson. “Today’s manufacturing combines hands-on skills, digital technologies, AI, and problem-solving in ways that are relevant to students across many career pathways. By giving teachers direct experience in the machine shop, we help them bring that excitement back to their classrooms and show students that they can design, build, and innovate in their own communities.”

From the Shop Floor to the Classroom 

One of the workshop participants is James Beveridge, who teaches computer science for grades 6-12 in the Chattahoochee County School District, a small, rural district south of Columbus. He has participated in multiple Georgia Tech-led training programs, and he runs a full computer science pathway for 450 middle and high school students. This fall will mark his third year in the Rural Computer Science Initiative and teaching computer science after two decades in industry.

Beveridge had some informal experience with tools growing up — his father taught him basic carpentry and welding — but he had never done formal machining work before the AMP workshop.

“Working with metal is different than working with wood, obviously, but it’s been really interesting to see the precision involved,” he said. “With wood, you can be off by a sixteenth of an inch, and nobody cares. When you’re machining metal parts, it has to be very, very precise. Learning to use the precision measuring tools has been eye-opening.”

For Beveridge, one of the biggest benefits of his ongoing work with Georgia Tech through the Rural Computer Science Initiative and related programs is that he never leaves empty-handed.

“Every time I come up here to learn something new, they send me home with the equipment to teach it with,” he said. “The first time, I left with a classroom set of robots so my students could learn to program. Another time, it was a more advanced humanoid robot with artificial intelligence. Now, I’m going back with new skills in machining and a physical project I can show my students.”

Another participant, Juone Brown, teaches high school computer science and AI to students at Dooly County High School in Vienna, Georgia. This is her second year in the rural computer science partnership and her fourth year teaching at Dooly. Previously, Brown was a professor for 25 years at Fort Valley State University. 

Like Beveridge, Brown has no formal machining background but said the way workshop instructors broke down each step — especially the math behind the cuts — made the work feel approachable.

“It has been fantastic and really well-paced,” she said. “We all come from different backgrounds, but the way they present the information makes it click. We know the math, but when you’re on the machine, and they show you easier ways to get the cut you need, it’s very encouraging.”

She’s already thinking about how to translate that feeling for her students, many of whom prefer building things to writing code. “I’m always telling them that skills pay the bills,” Brown said. “A lot of my students are hands-on. Now I can connect what we’re doing in class to real parts and jobs.”

Bringing Advanced Manufacturing to More Georgia Classrooms 

After the workshop, teachers are expected to integrate machining concepts into existing courses or help build new manufacturing pathways at their schools.  

AMP program leaders intentionally kept this pilot cohort small. The team plans to repeat the workshop several times over the coming year, expanding to more schools and districts across Georgia, building local champions who can help launch advanced manufacturing programs in their communities.

About the Georgia Tech Manufacturing Institute (GTMI)

The Georgia Tech Manufacturing Institute (GTMI) convenes industry leaders, government partners, and top researchers to collaborate on the grand challenges facing manufacturing today: accelerating technology development and deployment; creating, maintaining, and filling quality jobs; ensuring global competitiveness; and advancing economic and environmental stability. 
Our vision is to ensure rapid innovation that secures U.S. dominance in advanced manufacturing. Through the design and development of artificial intelligence systems, secure digital manufacturing, additive and subtractive processes, and large-scale production enterprises, GTMI stands at the forefront of manufacturing innovation — leveraging state-of-the-art facilities, including the Advanced Manufacturing Pilot Facility, to turn research breakthroughs into market-ready solutions. 

About the Georgia Tech Research Institute (GTRI)

The Georgia Tech Research Institute (GTRI) is the nonprofit, applied research division of the Georgia Institute of Technology (Georgia Tech). Founded in 1934 as the Engineering Experiment Station, GTRI has grown to more than 3,000 employees, supporting eight laboratories across more than 20 locations nationwide and performing more than $919 million in problem-solving research annually for government and industry. GTRI's renowned researchers combine science, engineering, economics, policy, and technical expertise to solve complex problems for the U.S. federal government, state, and industry.

Researchers at Georgia Tech say they have developed a system to help answer that question.

Known as FIRA, the tool analyzes drone crashes to determine whether they were caused by tampered machine-learning (ML) models. The team will present its findings at the 35th USENIX Security Symposium in August. 

The research addresses a growing safety challenge as drones are increasingly used for deliveries, infrastructure inspections, and agriculture.

As drones rely more on machine learning to navigate and make decisions, they also become vulnerable to model poisoning attacks. In these attacks, adversaries manipulate an AI system during its learning phase, embedding hidden triggers that can cause failures under specific conditions.

“Machine learning drones are making more decisions in flight, which makes ML a safety-critical component of these systems,” said Yizhi Huang, Ph.D. student and lead researcher on the project. 

“When something goes wrong, investigators need a way to ask whether the model was responsible, but the model is the part of the system that no one can examine after a crash. FIRA gives investigators a way to investigate these cases by reconstructing what the model was doing during the crash. As more drones run with ML, this kind of forensic capability can help drones be used more effectively and safely.”

When a drone crashes, investigators must determine whether the cause was malicious interference, weather, or mechanical failure. Without reliable forensic tools, accountability is difficult to establish, and safety standards are harder to enforce.

FIRA identifies how drone components interact with machine learning models and monitors those interactions in real time, even with limited bandwidth.

The system functions like a flight recorder, capturing key system activity and reconstructing a timeline after a crash. It then analyzes the model’s behavior to determine whether a malicious trigger was introduced via poisoned ML training data.

In tests across multiple drone platforms and crash scenarios, FIRA identified failure causes and distinguished cyberattacks from environmental or mechanical issues.

The system does not require access to a drone’s source code, making it practical for real-world investigations.

“As commercial drone use expands, tools like FIRA could help improve accountability and trust in AI-powered systems operating in public airspace,” said Huang. 

FIRA: Enabling Automatic Forensic Investigation of Unmanned Aerial Vehicles was led by Georgia Tech’s Cyber Forensics Innovation Lab in cooperation with the Cyber-Physical Security Lab. These labs reside in the School of Cybersecurity and Privacy and the School of Electrical and Computing Engineering. 

When a bartender checks an ID, they quickly verify a customer’s date of birth and identity before serving them. 

“It’s a tremendous honor to be recognized alongside such an inspiring group of scientists,” Manafzadeh says. “I’ve always been motivated by big, fundamental questions, and it’s exciting to see that kind of curiosity-driven research celebrated.”

Manafzadeh will join Georgia Tech in August 2026 as an assistant professor in the School of Biological Sciences. Her research investigates how joints function and how they evolved, using advanced technology to create animations of moving skeletons with sub-millimeter precision.

“My research is aimed at understanding how joints work and where they come from,” she explains. “Physicians can repair ACL injuries and perform hip replacements, but we still don’t fully understand joint mechanics at a fundamental level.” Because joints are a shared feature of virtually all vertebrates, she adds, nearly all movement — from slithering to sprinting to soaring — depends on them.

Manafzadeh first applied these methods to pterodactyls, “reanimating” the extinct animals to study how they flew. Now, her research could also open doors to personalized surgical treatments for people and new designs for bio-inspired robots.

“I used to see ash settling on our terrace from time to time and thought it was just waste,” Tripathi said.

Years later, at Georgia Tech, Tripathi started looking at that ash differently. What once appeared to be ordinary industrial waste became the focal point for her work. 

As a postdoctoral researcher in the School of Civil and Environmental Engineering, Tripathi, along with Ching-Hua Huang, Turnipseed Family Chair and Professor, and Xing Xie, Carlton S. Wilder Assistant Professor, both in the School of Civil and Environmental Engineering, developed a method to recover rare earth elements from coal fly ash.

Rare earth elements (REEs) help power electric vehicle motors, wind turbines, MRI machines, smartphones, and defense systems because of their unusually strong magnetic and electrical properties. Despite the name, most REEs are not actually rare in quantity. They’re rare in concentration. REEs are scattered through the Earth’s crust in amounts too small to mine easily, and much of their global supply chain remains concentrated outside of the United States.

That imbalance has turned REEs into both an economic and national security concern. Countries are competing for the materials sustaining advanced manufacturing, energy systems, and military technologies, increasing pressure to find domestic sources. That urgency has pushed researchers like Tripathi, Huang, and Xie to look at coal fly ash differently: not just as industrial waste but as a potential source of materials that modern technology depends on.

Coal naturally contains trace amounts of rare earth elements. Burning the coal concentrates those elements in the ash left behind.

Tripathi developed a method for extracting rare earth elements that avoids the corrosive chemicals used in conventional extraction. The same ash that once coated her rooftop could now become a secondary domestic source of critical materials.

Mining What Was Left Behind

Coal fly ash already exists in enormous quantities across the United States. About 2 billion tons are stored in impoundments, such as storage ponds and landfills, according to the Department of Energy.

Those sites require long-term monitoring because coal fly ash can release contaminants into soil and groundwater. Major storms can also damage storage sites and spread the material into surrounding communities and waterways.

Inside that ash, REEs are dispersed in tiny concentrations. Recovering them is a challenge; recovering them cleanly is an even greater one. Many existing recovery methods rely on concentrated acids, large amounts of water, or extreme heat during extraction. Some techniques require temperatures high enough to rival industrial furnaces. Others create additional waste streams.

Tripathi and her team wanted a different approach. 

They built the system around a recyclable ionic liquid, a salt-based substance stable enough to operate under conditions that would break down water-based systems. The liquid pulls rare earth elements away from the ash. An applied electrical current then causes the recovered elements to collect onto a surface where they can be removed. Afterward, the liquid can be cleaned and reused.

“The beauty of this system is that it works beyond the limits of water,” Tripathi said. 
“The ionic liquid allows us to recover rare earth elements under conditions that water-based systems just can’t handle.”

The process also changes depending on the voltage applied. At lower voltages, the system selectively recovers neodymium, an REE used in high-strength permanent magnets found in electric vehicles, wind turbines, and defense systems. At higher voltages, it recovers a broader mixture. The system recovered nearly half of the available neodymium during testing.

Beyond Coal Ash

Tripathi has shown that the chemistry works in small batches. The next challenge is scale: whether the system can recover enough rare earth elements efficiently enough to make the process commercially practical.

The same approach could extend beyond coal fly ash. Batteries, discarded electronics, and medical waste all contain valuable metals that often end up buried in landfills or destroyed during disposal.

For Tripathi, the idea began at home, where fly ash would settle on her terrace. What once seemed like an ordinary nuisance could help reshape how critical materials are recovered from waste. 

Tripathi’s research is published in Environmental Science and Technology. 
It was supported by the U.S. Department of Energy.

For most, that heart-pounding uncertainty ends the moment the foot finds solid ground. But for many individuals living with conditions like stroke or spinal cord injury (SCI), that sense of disconnect is a permanent reality.

“These conditions of course have a huge effect on our ability to move around and be independent — but the other side of it is the sensory feedback that we lose,” says Matthew Flavin, an assistant professor in the School of Electrical and Computer Engineering. Most rehabilitation treatments primarily focus on restoring movement, but “even if you have motor control, if you can’t feel when your foot's touching the ground it can be really hard for you to move around safely.” 

In a new study published in Proceedings of the National Academy of Sciences, Flavin and an interdisciplinary team of researchers introduce a way to bridge this gap: a wearable “sensory substitution” system that translates foot pressure into high-tech patterns of heat and vibration they can feel elsewhere. 

The system uses high-resolution pressure-sensing insoles designed by the team, which are placed inside a user's shoes to record how their weight shifts in real-time. This data is streamed via Bluetooth to a flexible, skin-conformable array of haptic receivers worn on the forearms, a part of the body that often retains sensation in SCI. The receivers give quick pressure feedback through vibration, while also alerting the user to longer-term pressure “hotspots” through heat. 

“One of the limitations of a lot of approaches in haptics is that you're having to map a missing sense onto a completely different sense,” says Flavin. “We’re keeping the type of information that we're missing, which is the distribution of pressure, and we're just basically putting it on a different part of their body.”

Rerouting the lost sensation was key to making the device intuitive to learn. Participants were able to correctly identify the “feel” of the ground through their arms with high accuracy within a mere two-hour session. When tested with a small group of participants with stroke or SCI, the wearable significantly improved standing balance and led to steadier walking.

“What’s encouraging about these early results is that participants appeared to use the feedback in ways that supported balance and walking,” says John Rogers, a materials science and engineering professor at Northwestern University who collaborated on this study. “Our study suggests that providing pressure information through another part of the body could be a practical path for helping people compensate for lost sensation.” 

While vibration provides immediate feedback for walking and balance, the team views the thermal feedback as a tool for long-term health. Heat is a slower, low-frequency signal that could alert patients to pressure hotspots, potentially preventing diabetic foot ulcers or pressure injuries for those who are bedridden or use wheelchairs.

The small, lightweight system is completely untethered, making it suitable for use during daily activities in and outside the clinic. It’s also highly adaptable to different injury types, which is ideal for conditions as variable as stroke, SCI, and diabetic neuropathy. Placement of the haptic receivers can be adjusted based on where a patient has the most sensation, and the sensitivity of the insoles can be tailored to each patient. 

As a member of several of Georgia Tech’s Interdisciplinary Research Institutes — the Institute for Neuroscience, Neurotechnology, and Society, the Institute for Robotics and Intelligent Machines, and the Parker H. Petit Institute for Bioengineering and Biosciences — Flavin credits the project’s success to an interdisciplinary effort and deep engagement with clinicians and patients.

“This reinforces the importance of really engaging with your stakeholders very early on,” says Flavin. “If you're not continually refining that concept with those stakeholders, you quickly find that they might be looking for something that your device isn't delivering.”

With new funding from the National Science Foundation (NSF), the team is now working to make the technology even smaller and more reconfigurable, moving closer to a standard wearable for daily clinical use.

DOI: https://doi.org/10.1073/pnas.2536577123

1. It’s not about exposure anymore. Atlanta is already a global city, so the focus is on whether the World Cup delivers lasting value for residents.
2. Economic impact is uneven. Big headline numbers do not show who actually benefits, and much of the spending may not reach local communities.
3. Infrastructure will be tested. Transportation and downtown systems will face heavy strain, raising concerns about what improvements last beyond the event.
4. The hidden story is food and logistics. Behind the scenes, Georgia Tech researchers are working to reduce food waste and strengthen systems that could outlast the tournament.

A Global Stage and Familiar Promises

As Atlanta welcomes the world for the 2026 FIFA World Cup, the promises are familiar: millions of visitors, global attention, economic growth, and a chance to showcase the city on one of the biggest stages in sports.

But Georgia Tech experts say the real question is not whether the tournament will generate activity — it is who benefits from it and what remains after the final match is played.

From Visibility to Value

Mega-events have long been sold as catalysts for transformation. The 1996 Olympics reshaped Atlanta’s physical landscape and helped position the city as a global destination. Thirty years later, the World Cup arrives at a very different moment.

“There are similarities,” said Emily Barrett, assistant professor in the School of City and Regional Planning. “Like the Olympics, the World Cup is an accelerator for infrastructure upgrades and public and private investment alike.”

Atlanta is seeing significant public investment in transportation improvements and billions of dollars in private development downtown. But today’s Atlanta is very different from Atlanta in the 1990s.

“Atlanta is no longer a city seeking recognition on the world stage,” Barrett said. “We are a thriving and growing city.”

That shifts the conversation from visibility to value.

“The open question is whether hosting mega-events makes the city work better for the people who live here,” Barrett added.

The Economics Behind the Headlines

Assessing that value becomes more complicated when economic forecasts enter the conversation.

Large projections often dominate headlines, but Declan Abernethy, lecturer in the School of History and Sociology, cautions that economic impact estimates rarely tell the whole story.

“It is far easier to put out an economic impact projection compared to the difficulty of measuring impact,” Abernethy said.

While visitors will spend money on hotels, restaurants, transportation, and entertainment, he notes that much of that spending may not reach the community.

“When we look closely at that spending, we can see that much of the profit will be taken in by large corporations or FIFA in the immediate vicinity of Mercedes-Benz Stadium and not as much by Atlanta residents or small businesses,” he said.

According to Barrett, economic studies often overlook a critical question: What could alternative investments have accomplished?

“Economic studies rarely account for displacement costs, or whether the same public dollars could have generated similar or better outcomes if invested elsewhere,” she said.

Pressure Points Across the City

The World Cup’s impact extends beyond economics; it will also test Atlanta’s infrastructure at a scale few events can match.

Michael Hunter, professor in the School of Civil and Environmental Engineering, says the biggest challenge may be the volume of people moving through the city.

“There will be a number of pressure points. However, one of the most significant will be just the number of people,” Hunter said. “This event will attract significant crowds.”

Atlanta’s transportation agencies have spent years preparing, drawing on lessons learned from events including the Super Bowl, World Series, and major concerts. Still, capacity limits are unavoidable.

“There is only so much traffic that MARTA or any transit agency can handle,” Hunter said. “People need to understand that there will be congestion and longer wait times. The key is to be patient.”

The concern is whether those investments result in lasting improvements or merely support a few weeks of activity.

Abernethy argues that the World Cup should be viewed as part of a broader vision for Atlanta rather than a standalone catalyst.

“We are seeing the World Cup as a part of a longer-running and more cohesive vision for sport and economic development downtown,” he said. “Atlanta may not be repeating the same cycle nor cracking downtown’s development problem with the World Cup itself.”

Behind the Scenes: Food and Logistics

Infrastructure challenges extend beyond transportation. Feeding hundreds of thousands of visitors while minimizing waste requires its own network of logistics, coordination, and planning.

Nicole Kennard, a research scientist at Georgia Tech’s Brook Byers Institute for Sustainable Systems, views the tournament as an opportunity to strengthen how food moves throughout the city.

“These large events are a really big opportunity for us to coordinate and test our infrastructure,” Kennard said. “We have to think critically about how to improve the infrastructure and ensure its resilience and efficiency.”

Working with organizations such as Second Helpings Atlanta, the official food rescue partner for the World Cup, Georgia Tech researchers are building technologies and tools to improve coordination among food rescue groups. The effort aims to keep surplus food out of landfills by quickly moving it from stadiums and vendors to local food organizations.

“It’s really a logistics problem, a data problem, and a coordination problem,” Kennard said. “The faster you can move food from the point of surplus directly to a pantry, the more likely it is to reach people who need it.”

What Legacy Looks Like

Ultimately, Atlanta’s World Cup legacy may not be measured by attendance figures or visitor spending alone.

“How we evaluate success depends on what we choose to measure, and too often we focus on headline numbers instead of who actually benefits,” said Abernethy.

Kennard sees the tournament as a chance to build systems that outlast the event itself. “What we build for the World Cup could become critical infrastructure for future emergencies and disasters,” she said.

Atlanta already knows how to host a global event. Whether the investments, partnerships, and infrastructure created for the World Cup leave the city stronger after the crowds leave remains to be seen.

The continued recognition highlights Georgia Tech’s research leadership in advancing energy solutions across technology, science, policy, and economics and in delivering technically advanced solutions that is scalable, secure, and sustainable for the future.

“The scale and integration of our energy ecosystem is among Georgia Tech’s great strengths,” said Executive Vice President for Research Tim Lieuwen. “A defining part of that ecosystem is the Strategic Energy Institute (SEI), our interdisciplinary research institute that brings together the talents of researchers from across disciplines to accelerate energy innovation and deliver real-world solutions.”

SEI integrates energy activities at Georgia Tech by connecting more than 1,000 researchers across the entire energy value chain and enabling collaboration with industry, government, communities, and nonprofits. SEI is deeply engaged in building community, developing resources, promoting thought leadership, and marshaling the full resources of Georgia Tech around tackling the tough energy and environmental problems and opportunities society faces.

“Georgia Tech’s energy leadership is built on the depth of our research and the breadth of our collaborations,” said Yuanzhi Tang, SEI’s executive director. “By connecting expertise across the full energy value chain, we are advancing solutions that enhance affordability, reliability, security, and sustainability.” 

U.S. News & World Report evaluates the academic research performance of universities in 51 subject areas using indicators such as publications, citations, and global and regional research reputation. Georgia Tech was assessed among 292 institutions in the U.S. and continues its strong standing in the rankings, claiming the No. 32 spot overall in the nation and No. 9 among public universities.

The seed grant program, administered by the Brook Byers Institute for Sustainable Systems (BBISS), reaches faculty members from a diverse array of disciplines due to the generous support provided by broad-based partnerships in addition to the funds provided by the Sustainability Next committee. This year’s partners are the School of Civil and Environmental Engineering, the College of Design, BBISS, the Renewable Bioproducts Institute, the Georgia Tech Research Institute, and the Institute for Data Engineering and Science.

The goal of the program is to nurture promising research areas for future large-scale collaborative sustainability research, research translation, and/or high-impact outreach; to provide mid-career faculty with leadership and community-building opportunities; and to broaden and strengthen the Georgia Tech sustainability community as a whole. The call for proposals was modeled after the Office of the Executive Vice President for Research’s Moving Teams Forward and Forming Teams programs.

This year’s seed grant awards align with the four main thematic areas in which BBISS aims to enhance Georgia Tech’s research to address some of our most pressing sustainability challenges:

• AI and Sustainability, and the Sustainability of AI Infrastructure.
• Climate Science, Technology, and Solutions.
• Healthy Environments and Sustainable Resource Use.
• Resilience and Regeneration.

The 2026 Sustainability Next Seed Grant awards are:

Forming Teams:

• Actualize Shallow Geothermal Systems for Decentralized Heating. Principal Investigator (PI): Sheng Dai.
• Building Community University Research Capacity for PFAS Testing and Treatment. PI: Ruth C. Yow. Co-Principal Investigators (Co-PIs): Joe Bozeman, Yongsheng Chen, and Ahmed Ibrahim Yunus.
• A Global Sustainability Analysis of Places “Urbanizing from Within.” PI: Gregory Randolph. Co‑PIs: Sabina Dewan, Yiyi He, John Taylor, and Celine Vacchiani‑Marcuzzo.
• Creating a Refusal Taxonomy to Explore Alternate Computing Practices. PI: Richmond Wong. Co‑PIs: Heidi Biggs and Carl DiSalvo.
• Demystifying Data Centers: Examining Georgia Tech’s Coda HPCC in the Context of Sustainability and Resilience. PI: Scott Duncan. Co-PIs: Jung-Ho Lewe and David Solano Sarmiento.
• Physical Transport of Sunlight‑Exposed Dissolved Organic Carbon in the New Arctic. PI: Lilian Dove. Co‑PI: Jennifer Bowen.

Moving Teams Forward:

• Agentic AI Digital Twins for Hurricane Resilience in Coastal Georgia. PI: Ali Sarhadi.
• CLEAR‑SE: Co‑Creating a Center‑Scale Network for Advancing Collaborative, Long‑Term Action Research on Community‑Led Resilience and Disaster Risk Reduction in the Southeast. PI: Sofía Pérez‑Guzmán. Co‑PI: Jennifer Hirsch.
• Data Center Effects on Communities in Georgia’s Black Belt. PI: Cindy Kaiying Lin. Co‑PIs: Joe Bozeman, Anthony Harding, Allen Hyde, Nicole Kennard, Jung-Ho Lewe, and Ahmed Saeed.
• Reimagining Southern Forests: Enabling Cost‑Effective Sustainable Production of High‑Value Climate‑Ready Southern Pines. PI: Caitlin Petro. Co‑PIs: Lucas Clay, Ulrika Egertsdotter, and Joel Kostka.
• Human‑Technology Collaborations: Towards Sustainable and Inclusive Food Systems. PI: Rosemarie Santa Gonzalez. Co‑PIs: Ashutosh Dhekne, Sylivia Janicki, Nicole Kennard, Yaman Sangar, and Abigale Stangl.
• Guiding Transportation with Community Action through Research, Education, and Service (GT‑CARES). PI: Rounaq Basu. Co-PIs: Sofía Pérez‑Guzmán, Jennifer Hirsch, and Scott Moffat.
• Instability‑Resolved Ocean Mixing for Climate Prediction and Climate Solutions. PI: Suhas S. Jain. Co‑PIs: Mohammad Mohaghar, and Donald Webster.
• Buildings Next: Forming a Transdisciplinary Consortium for Sustainable Building Innovation. PI: Paula Gomez. Co‑PI: Allison Bridges.
• Paper and Natural Dye Living Exhibition. PI: Anna Doll. Co‑PI: Virginia Howell.

1. You’re paying more at the pump, and it’s not going away anytime soon.

Gas prices are the most visible sign of the crisis, and the increases are already significant. National average retail gasoline prices are more than $1.20 higher than they were in February, before the conflict escalated.

“Even though U.S. petroleum production often exceeds our consumption, we are not insulated from disruptions in global oil supply because oil is a globally traded commodity,” says director of the Energy Policy and Innovation Center, Laura Taylor. “If supply is restricted anywhere in the world, prices will rise everywhere, including in the U.S.”

Markets expect some relief by fall, with future prices pointing lower than today’s levels. But Tony Harding, assistant professor in the Jimmy and Rosalynn Carter School of Public Policy, cautions, “Prices are likely to remain above pre-conflict levels for the foreseeable future, and temporary relief measures, such as Georgia’s motor fuel tax suspension, will not last forever.”

Taylor puts it plainly: “Wages are not rising faster than prices, so people are feeling the pinch and will continue to do so.”

2. Your summer plans just got more expensive.

The impact does not stop at the gas station. For Americans planning summer travel, the timing of this conflict could not be worse. Matthew Oliver, associate professor in the School of Economics, points to commercial air travel as one of the most exposed sectors.

“Jet fuel prices have roughly doubled in the wake of the current oil price spike, putting immediate upward pressure on airfares,” says Oliver.

The ripple effects extend far beyond travel. 

“Oil is an input into the supply chain of nearly every good at some point,” says Bobby Harris, assistant professor in the School of Economics. “When input costs go up, prices go up.”

3. Expect to pay more at the grocery store.

The connection between Middle East tensions and the American dinner table is more direct than many realize, because petrochemicals are a key feedstock for fertilizer production.

“Higher oil prices lead to higher fertilizer prices, which lead to higher food prices,” says Oliver. 

Combined with existing tariff pressures and tight supply chains, the strain on household budgets is coming from multiple directions at once.

“If the crisis persists, there will be upward pressure on the prices of nearly every physical good,” Oliver adds.

4. The government’s options are limited, and the clock is ticking.

Washington has tools to respond, but none are silver bullets. The Strategic Petroleum Reserve currently holds around 400 million barrels and can release about 4 million barrels per day, roughly 20% of U.S. daily demand.

“I see the Strategic Petroleum Reserve as a tool to buy time during a crisis,” says public policy professor Dan Matisoff. “But if the conflict drags on, we will ultimately be in a more vulnerable position.”

Quick fixes like price caps or demand subsidies carry trade-offs. 

“Subsidies can mitigate the impact of price shocks, but they can also mask important market signals that help balance supply and demand,” says Harding, using Europe’s 2022 energy crisis as a cautionary example.

5. The smartest thing Americans can do right now is think about efficiency.

“People in general tend to undervalue energy efficiency,” says Matisoff. “Think of energy efficiency investments as a sort of hedge or insurance against volatile energy prices.”

That means considering fuel efficiency when buying a car, and looking at heat pumps, electric vehicles, and home energy upgrades when the time is right.

“Higher energy prices increase the value of investing in energy efficiency upgrades to your home and adopting technologies that are less dependent on fossil fuels,” says Harding.

For families navigating uncertainty, both economists and policy experts point to the same practical advice: Reduce your exposure to fossil fuel price swings before the next crisis hits.

Lieuwen, the executive vice president for Research and Regents’ Professor in the Daniel Guggenheim School of Aerospace Engineering, received the ASME medal in 2025 in recognition of his pioneering contributions to combustion, clean energy, and the science of resilient energy systems. It is the first ASME Medal ever awarded to a Georgia Tech faculty member or graduate, marking a milestone both for Lieuwen and the Institute.

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

Scientists have captured the most detailed structural images to date of a specific type of protein’s DNA repair process. The research could reveal ways to inhibit the effects of the BRCA1 and BRCA2 gene mutations that heighten the risk for breast, ovarian, and other cancers.

“This work lets us see, step by step, one mechanism by which cancer cells could manage to repair their DNA when BRCA genes mutate and fail,” says study co-author Vicki Wysocki, who is chair of the Georgia Tech School of Chemistry and Biochemistry. “By capturing this process in detail, this study opens the door to understanding how those cancerous cells survive and how treatments might disrupt that mechanism.”

Designated as a Breakthrough Article, the study Mechanism of single-strand annealing from native mass spectrometry and cryo-EM structures of RAD52 homolog Mgm101 was recently published in Nucleic Acids Research.

In addition to Wysocki, who is a professor in the School of Chemistry and Biochemistry and a professor emerita at Ohio State University, the Georgia Tech research team included co-first author Zihao Qi, a Ph.D. candidate in the Wysocki Lab.

They were joined by Ohio State researchers co-first author Carter Wheat and senior author Charles Bell, who is a professor of biological chemistry and pharmacology in the College of Medicine. Additional authors include Metro High School student Miqdad Hussain and CAS researcher Katerina Zakharova.

When BRCA Fails

Normally, BRCA genes help prevent cancer by acting as tumor suppressors — producing proteins that help repair broken DNA. When cancer cells lack the tumor-suppression function of normal BRCA genes, research has shown that a protein called RAD52 performs DNA repair.

Since RAD52 allows cancer cells to survive and replicate without tumor suppression, researchers have wondered if blocking it would kill the cancerous cells. Blocking RAD52, however, requires fully understanding its repair activities, which have been difficult to capture with even the most sophisticated techniques. 

DNA strands break every day in cells, which is why proteins exist to fix the breaks and keep cellular processes running smoothly, the team says. But because repairs must happen quickly and human proteins are often more complex than their ancestral counterparts, even the most advanced imaging equipment can’t capture every step in the process.

In order to understand RAD52 better, the research team turned to its ancestral protein, Mgm101, to observe several key steps in its DNA repair process.

A Clearer Image

The team decided to leverage multiple types of imaging. Wysocki’s lab at Georgia Tech conducted native mass spectrometry and mass photometry, using light to measure masses of protein-DNA complexes. The results showed that the ancestral protein Mgm101 assembled from a single copy of itself into a large multi-unit ring composed of 19 copies of the protein.

“This ring is essentially a template,” Wysocki explains. “The first strand of DNA can come down, and then the second strand comes on and starts being annealed to the first strand.” Annealing occurs when two single strands of DNA come together to form the characteristic double helix structure.

The findings were supported by what Bell’s lab determined using cryogenic electron microscopy, observing structures floating in solution and frozen in a thin layer of ice.

“RAD52 high-resolution structures have been determined with single-stranded DNA, but not with the two DNAs that it’s trying to anneal,” Bell says. “Its job is to bind single-stranded DNA and anneal it to its complement sequence. It’s been captured structurally, but only in a few states relevant to the reaction.”

“Here, we have more of the states along the full pathway from substrate, to intermediate and product. And the duplex intermediate is a conformation that’s never been seen before.”

Previously, researchers were unsure if this DNA repair process used one protein ring or two rings working together, the team says. Their findings show that just one ring is used — and that this is likely consistent across different species.

Paths to Treatment

Next, the team plans to try capturing the same phases of the DNA repair process with RAD52 from humans. A clearer understanding of how this family of proteins binds to DNA strands and coaxes them back together after a break provides insights for drug targets that could halt the process in cancer cells empowered by mutated BRCA genes, they say.

“It’s still a proposed mechanism: Just because we see these snapshots of the process doesn’t mean we know all the details, but we do have the best snapshots for any protein that does this single-strand annealing,” says Bell. “This focuses our strategies for drug development.”

DOI: https://doi.org/10.1093/nar/gkag320

Funding: This work was supported by the U.S. National Science Foundation and the National Institutes of Health. The cryo-EM data were collected at Ohio State’s Center for Electron Microscopy and Analysis and processed using the Ohio Supercomputer Center.

It was Ferguson’s own first manufacturing industry job at Glidden Paint in high school that tipped a row of dominoes, clearing his way out of poverty. Following next in the Hall County native’s favor was his receiving the Pell Grant and HOPE Grant, which led to his associate’s degree and first job in education.

Since then, Ferguson has spent the better part of three decades advancing workforce preparation and education access in Georgia, first as chief information officer for the Technical College System of Georgia, and now through his current roles at Tech.

“Access to higher education changed the trajectory of my life. The question now is how we build systems that create those same opportunities for others — whether someone starts their career right out of high school, earns credentials while working, or returns later to pursue advanced technical education or engineering. We need to create flexible pathways that develop talent at every stage of life.”

Steven Ferguson

Forged in Manufacturing

Ferguson was born into a family of “makers,” who got by on odd jobs and money from their small bait and tackle shop on Lake Lanier and later peddling a variety of goods. At a young age, Ferguson learned salesmanship and picked up the tinkering spirit.

“My dad was always entrepreneurial, and I think you might even consider us manufacturers, always making fishing equipment or other things,” said Ferguson. “From a very young age, I was out making jig heads, tying flies, and bagging hooks or sinkers. It was definitely in my blood.”

When he was in 10th grade, a teacher nominated Ferguson for a new youth apprenticeship program. That opportunity ultimately led to his role as an information technology apprentice at Glidden Paint, which became Ferguson’s first job in the manufacturing industry. The job was a perfect fit for Ferguson, who enjoyed learning more about the manufacturing process and the practical outlet for his computing knowledge.

He continued working there until he began studying computer science at North Georgia College and State University. Later, he transferred to Gainesville College (GC) to participate in a joint enrollment program designed to lead to eventual enrollment for a bachelor’s degree at Tech.

However, before Ferguson completed his time at GC, he had an associate’s degree and, more importantly, a job offer. GC wanted him to train others for careers in information technology.

Read Full Story on the Enrollment Management News Page

That principle is especially relevant today across the artificial intelligence (AI) landscape. As systems scale, they increasingly become harder to measure, compare, and fix, particularly within proprietary environments. 

A team led by Georgia Tech, working with collaborators across industry, has developed a new approached called Chakra to bring greater clarity to complex AI systems. 

“Imagine a room where everyone is trying to collaborate, but each person speaks a different language,” said Tushar Krishna, an associate professor in the School of Electrical and Computer Engineering, who is leading the effort. “That’s a bit like today’s AI ecosystem. The internet worked because it was built on shared practices and protocols. In AI, we’re still building that kind of common foundation.” 

The work, which Krishna leads through the nonprofit MLCommons, was released alongside a paper at the 2026 Conference on Machine Learning and Systems(MLSys) in Bellevue, Wash.

RAI calls the bicycle robot an ultra-mobility vehicle (UMV). It can reach a height of 3 feet and can jump from the floor onto a platform.

The contributions of a Georgia Tech Ph.D. student helped make these feats possible through a robot control policy he developed.

Jeonghwan Kim, who is pursuing a Ph.D. in robotics under the advisement of Associate Professor Sehoon Ha, spent two semesters interning at RAI. His task was to design a policy to teach the UMV to land after a flip.

The result was iterative motion imitation (IMI), a novel method that imitates flip trajectories generated from prior examples. Kim said the robot bases its flip on a demonstration, and human engineers reconstruct and refine the flip path through simulation to fill in the gaps.

“To guide the robot to flip, we started with an imperfect trajectory generated by a motor-based controller and then ran simulations,” Kim said. “It’s an unstable trajectory, but we use it as a guide to train a single policy that can track it as it lands and tries to balance itself.”

Sticking the Landing

Kim interned under the supervision of Shamel Fahmi, a research scientist at the RAI Institute. RAI has been developing the UMV for nearly three years.

“We wanted to work on a different robot morphology that wasn’t legs or legs with wheels,” Fahmi said. “That’s when we thought of working with bikes. 

“We want to merge the athleticism of (Boston Dynamics’) Atlas with the mobility of a bike. We wanted a robot that can go anywhere, do parkour, and acrobatics.”

Fahmi said that before Kim arrived, the research team had trouble getting the UMV to land consistently without breaking or falling.

The UMV has two joints — an upper and a lower. The upper joint contains the motors and pulls the lower joint along as it propels into the air. The problem is getting the lighter lower joint to absorb the impact of landing without being crushed by the heavier upper joint.

“That’s what brings reinforcement learning into the equation,” Fahmi said. “We teach the robot to minimize its impact on the ground to land gracefully.”

Fahmi said that Kim proved the imitation examples the robot learns from don’t have to be perfect. The process takes some time, but all it needs is a rough idea to get started.

“You can have an imperfect sketch and then constantly refine it,” Fahmi said. “The first time, it’s not going to go well. 

“We don’t care about torque or power limits as long as it does the motion. Then we’ll have a slightly better reference, repeat it, and imitate it again. In every iteration, we can add more parameters.”

Up Against the Clock

Kim said he felt the pressure of time constraints during his two semesters with RAI as he worked to achieve consistent, successful landings. Even though he had multiple UMVs to experiment with, they broke down dozens of times. Each time one broke, a hardware team at RAI had to repair it.

“There was a lot of pressure to not only get this working before my internship ended, but also knowing there are costs behind every failed attempt, and every time the robot breaks, it takes time to repair it,” Kim said. 

“It took almost five months for it to land without breaking. Then we needed two more months for it to stay balanced after the landing. It requires a lot of engineering effort to achieve a robust control policy for a safe flip.”

By the time Kim left RAI, the IMI policy had achieved consistent, seamless landings.

“The jump right now is what we call the visitor demo,” Fahmi said. “If there are guests coming over to see it, we want to show them something that is extremely impressive, but also, more importantly, extremely reliable. It never fails.

“It was only possible because of the huge effort we put into designing, maintaining, and continuously improving the robot.”

Kim authored a paper on his framework and will present it at this week’s International Conference on Robotics and Automation (ICRA) in Vienna.

For more information about the UMV project, please visit the RAI blog or watch their video on YouTube.

His project was selected through a competitive, peer-reviewed process involving scientific experts, state and local resource managers, and coastal community stakeholders as part of a biennial research competition sponsored by the University of Georgia’s Marine Extension and Georgia Sea Grant, supported by the NOAA National Sea Grant College Program.

“I am excited to continue to contribute to Sea Grant’s critical mission of research that strengthens the resilience of coastal ecosystems,” says Kostka.

Strengthening Coastal Marsh Restoration

Kostka’s team will examine how locally sourced Spartina plants and beneficial root-associated microbes can improve marsh restoration outcomes. The research will evaluate plant growth, stress tolerance, and field performance to identify practical, scalable strategies for supporting coastal ecosystems.

Selected projects are intended to “advance the understanding, management, and strategic use of Georgia’s coastal and marine resources,” while producing results that address coastal management needs and remain accessible to communities, according to an article from Marine Extension and Georgia Sea Grant. In addition to faculty from Georgia Tech, the 2026 research awards will support investigators from Georgia Southern University and Savannah State University.

As an energy economist, I am often asked about what contributes to gas prices and what different policies can do to affect them.

The price of a retail gallon of gas is the sum of four things: the cost of crude oil, refining, distribution and marketing, and taxes.

In nationwide figures from January 2026, crude oil accounted for about 51% of the pump price, refining roughly 20%, distribution and marketing about 11% and taxes about 18%. That mix shifts with conditions: When crude oil prices spike, that can drive more than 60% of the price; when the price drops, taxes and logistics are larger shares of the cost.

Crude Oil is the Biggest Ingredient

Because the price of crude oil is the largest element, most of the price at the pump is derived from the global oil market.

Usually, big swings in crude prices come mainly from shifts in global demand and expectations – not from supply disruptions, according to widely cited research in 2009 by the economist Lutz Kilian.

But what is happening in early 2026 with the war in Iran is one of the exceptions: a classic supply shock. Severe disruptions to shipping through the Strait of Hormuz and attacks on Middle East oil infrastructure have taken millions of barrels a day off the global market.

Most drivers generally can’t quickly reduce how much they drive or how much gas they use when prices rise, so gasoline demand doesn’t change much in the short run. That means a jump in crude costs tends to result in people paying more rather than driving less.

Refining, Regulations, and the California Puzzle

Refining turns crude into gasoline at industrial scale. The U.S. doesn’t have a single gasoline market, though. Roughly a quarter of U.S. gasoline is a cleaner-burning blend of petroleum-derived chemicals called “reformulated gasoline,” which is required in urban areas across 17 states and the District of Columbia to reduce smog.

California uses an even stricter formulation that few out-of-state refineries make. California is also geographically isolated: No pipelines bring gasoline in from other U.S. refining regions.

California’s gasoline prices have long run above the national average, explained in part by higher state taxes and stricter environmental rules. But since a refinery fire in Torrance, California, in 2015 reduced production capacity, the state’s prices have been about 20 to 30 cents a gallon higher than what those factors would indicate.

Energy economist and University of California, Berkeley, professor Severin Borenstein has called this the “mystery gasoline surcharge” and attributes it to the fact that there isn’t as much competition between refineries or gas stations in California as in other states. California’s own Division of Petroleum Market Oversight says the surcharge cost the state’s drivers about $59 billion from 2015 to 2024. It’s not exactly clear who is getting that money, but it could be gas stations themselves or refineries, through complex contracts with gas stations.

Getting the Gas Into Your Car

The distribution and marketing category covers the costs of everything involved in getting the gasoline from the refinery gate to your tank.

Gasoline moves by pipeline, ship, rail and truck to wholesale terminals, and then by local delivery truck to service stations.

At the retailer’s end, the key factors are station rent and labor, the cost to buy gasoline in bulk to be able to sell it, credit card fees of as much as 6 to 10 cents a gallon at current prices, and franchise fees paid to the national brand, such as Sunoco or ExxonMobil, for permission to put their branding on the gas station.

Most gas station operators net only a few cents per gallon on fuel itself – which is why many gas stations are really convenience stores with pumps out front. Borenstein and some of his collaborators have also documented that retail gas prices rise quickly when wholesale costs climb but fall slowly when wholesale costs drop.

The Question of Gas Tax Holidays

The federal government charges a tax on fuel, of 18.4 cents a gallon for gasoline and 24.3 cents a gallon for diesel. States charge their own taxes, ranging from 70.9 cents a gallon for gas in California to 8.95 cents in Alaska.

When gas prices rise, many politicians start talking about temporarily suspending their state’s gas tax. That does reduce prices, but not as much as politicians – or consumers – might hope. Research on past gas tax holidays has found that consumers get about 79% of the reduction in gas taxes. That means oil companies and fuel retailers keep about one-fifth of the tax cut for themselves rather than passing that savings to the public.

Gas tax holidays also reduce funding for what the taxes are designed to pay for, typically roads and bridges. That pushes road and bridge upkeep costs onto future drivers and general taxpayers.

There is an additional problem, too: Taxes on gasoline are supposed to charge drivers for some of the costs their driving imposes on everyone else – carbon emissions, local air pollution, congestion and crashes. But Borenstein has found that U.S. fuel tax levels are already far below the true cost to society. Removing the tax on drivers effectively raises the costs for everyone else.

The Jones Act: A Small Number That Adds Up

The 1920 Jones Act is a federal law that requires cargo moving between U.S. ports to travel on vessels built and registered in the U.S., owned by U.S. citizens, and crewed primarily by U.S. citizens and permanent residents. Of the world’s 7,500 oil tankers, only 54 meet this requirement. Only 43 of these can transport refined fuels such as gasoline.

So, despite significant refining capacity on the Gulf Coast, some U.S. gasoline is exported overseas even as the Northeast imports fuel, in part reflecting the relatively high cost of moving fuel between U.S. ports.

Economists Ryan Kellogg and Rich Sweeney estimate that the law raises East Coast gasoline prices by about a penny and a half per gallon on average, costing drivers roughly $770 million a year. In light of the war’s effect on gas prices, the Trump administration has temporarily suspended the Jones Act requirements – an action more commonly taken when hurricanes knock out Gulf Coast refineries and pipeline networks.

What Moves the Number

The result of all these factors is that the price that drivers see at the pump mostly reflects the global price of crude, plus a stack of domestic costs, only some of which are inefficient.

Tax holidays give a partial, short-lived rebate. Jones Act waivers trim pennies, though permanent repeal may cause more fundamental changes, such as reduced rail and truck transport of all goods, which could lower costs, emissions and infrastructure damage associated with cargo transportation. Harmonizing fuel blends across states and seasons may lower prices somewhat, but likely at the expense of increased emissions.

Ultimately, the best protection against oil price shocks is a more efficient gas-burning vehicle, or one that doesn’t burn gasoline at all. In the meantime, the best I can offer as an economist is clarity about what that $4.30 actually buys.

This article is republished from The Conversation under a Creative Commons license. Read the original article.

The new technology is also set to revolutionize the scale of policy training data collection, which is essential to advancing robotic capabilities and meeting growing production demand.

COBALT is a mobile app that turns smartphones into controllers for robot arms. With a secure Wi-Fi connection to a server, users can move their phones in any direction, and the robot arm will mirror the motion — from anywhere in the world.

Ayush Agarwal, a Ph.D. student in Georgia Tech’s School of Interactive Computing who leads a research team developing COBALT, said it works like the games people play on smartphones. Users can press a button to have the arm grasp an object, move it, and release it with another button.

Agarwal conducted several user studies with participants in nine countries who remotely operated robot arms inside Georgia Tech’s People, AI & Robotics (PAIR) Lab. The lab is directed by Assistant Professor Animesh Garg, who advises Agarwal.

“We built an entire distribution system for remote teleoperation scaled to where we had people from Indonesia, India, and Pakistan operating for us,” Agarwal said. “They were novice operators who had never done it before. By collecting data from these new users, we showed that we can train policies to automate certain tasks.”

Garg envisions a world where data collection for policy training is done through crowdsourcing. He began working toward this goal 10 years ago as a postdoc at Stanford University, when he developed RoboTurk, an earlier version of COBALT.

“There is a large-scale data collection requirement for mass robot production to be possible, and it will not be solved purely through simulation,” Garg said.

“Our idea was, what if we could get almost every person on the planet to be a passive source for data collection? There are almost five billion people who have smartphones and know how to use them.”

Education and Economy Impact

Another major implication of COBALT could be expanded access to CS and robotics education.

Students can learn to operate a robot remotely in any classroom. In fact, Garg and his lab recently hosted students from Midtown High School in Atlanta to demonstrate COBALT and let them control robot arms from a phone.

Garg also sees the possibility of a “gig economy” in which people pay remote operators to control assistive robots in their homes and complete household chores for them.

“It could be Uber for robots,” he said. “People who want to log onto the platform can do so at their convenience and for as long as they want.”

Companies with robot-dependent labor tasks could also use the platform to enable human oversight.

“If I deploy a robot in a factory that achieves high autonomy for most tasks, but there are still times it needs help, a human could operate the robot from anywhere in the world,” Garg said.

Building a Network

Agarwal’s studies showed that people prefer to interact with and control a robot using a smartphone rather than virtual reality (VR) headsets, controllers, keyboards, mice, or other devices.

“The phone is a more intuitive interface and can provide data quality that’s on par with other commonly used devices,” he said.

Agarwal also said there is minimal latency in the video feed sent back to operators on the other side of the world. That’s because the amount of data being processed is small.

The data is carried over Web Real-Time Communication (WebRTC), the same technology used by many streaming services and web conferencing platforms such as Zoom and Google Meet.

“There’s a connection from your phone to the teleoperation server, which is connected to the robots,” Agarwal said.

“Then there’s another connection from the teleoperation server back to the user, which allows for a video stream. We need low latency on both because you don’t want the user to move their phone and wait 10 seconds to see the visual feed.”

Agarwal is the co-lead author of a paper on COBALT that is being presented at the IEEE International Conference on Robotics and Automation this week in Vienna. He said the paper stands out because it has moved from theory to the implementation of an entire distribution network. 

“The real novelty of our paper is the systems that we build around it to actually support the scaling of remote operation and data collection at a global level,” he said. 

Fiona Ryan, a Ph.D. student in Georgia Tech’s School of Interactive Computing, is pioneering research that tracks and predicts user gaze from a first-person perspective in 3D environments.

Currently, most AR devices react to where users look, playing catch-up. Ryan’s method could give these devices a heads-up and make the user experience more seamless.

“It allows an AR system to anticipate what the person will interact with next and where they’re going to look next so it can proactively render the experience,” she said.

Ryan is the lead author of the paper Forecasting 3D Scanpaths in Egocentric Video, which she will present next week at the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) in Denver.

While there is existing research on predicting user gaze from 2D still images, her work is the first to address the issue through a 3D framework.

“Because we live in a 3D world and people are dynamically moving around from multiple points of view, we need to predict gaze in 3D rather than 2D,” she said. “What we’re seeing is a path of the person’s attention in 3D through space. Our paper is the first to attempt to model this.”

Ryan conducted most of the research while interning at Meta, where she used data from Meta’s Aria Digital Twin dataset. The dataset contains first-person video footage of users interacting with objects in an apartment.

“We chose that dataset because it has a high-fidelity 3D reconstruction of a full environment, which helps us get a ground-truth 3D gaze,” she said. “We can trace eye movement and see how it intersects with the environment.”

A video demonstration of Ryan’s work shows her software tracking a user’s path toward a table with a cup on it. Once the user picks up the cup, the software correctly predicts the direction the user will turn next.

“When we look at a scene, we don’t take in everything in full detail all at once,” she said. “We fixate on certain areas, and our gaze is a sequence of fixations, which might depend on what we’re trying to do. If we want to pick up a cup, we might look toward that and then the next step would be looking at where we’re going to put it down.”

Ryan said the software can predict, on average, up to three seconds into the future — and as far as 10 seconds in some cases. That’s enough time for the AR system to proactively render a more enhanced environment.

“We’re not looking that far into the future right now, but it would be interesting to explore longer forecasting windows,” she said. “I think potential futures would diverge pretty quickly, so we’re trying to explore what can reasonably be predicted from a short segment of a person looking and moving through space.”

Ryan said her paper served as a proof-of-concept, and that there is still much future work to be done. She already has some ideas.

“I think future models can include different scenarios to help narrow down possibilities. Sometimes a person’s gaze stays on one thing for a long time. If we know what someone is trying to do, we’ll have a better idea of the likely path their attention might go.”

There could also be future implications for her work in robotics research.

“It could potentially be used for training algorithms for robots to emulate active human perception. If we can understand what a person looks at as they perform a task, we could use that to facilitate a robot learning to do that same task.” 

Fiona Ryan, a Ph.D. student in Georgia Tech’s School of Interactive Computing, is pioneering research that tracks and predicts user gaze from a first-person perspective in 3D environments.

Currently, most AR devices react to where users look, playing catch-up. Ryan’s method could give these devices a heads-up and make the user experience more seamless.

“It allows an AR system to anticipate what the person will interact with next and where they’re going to look next so it can proactively render the experience,” she said.

Ryan is the lead author of the paper Forecasting 3D Scanpaths in Egocentric Video, which she will present next week at the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) in Denver.

While there is existing research on predicting user gaze from 2D still images, her work is the first to address the issue through a 3D framework.

“Because we live in a 3D world and people are dynamically moving around from multiple points of view, we need to predict gaze in 3D rather than 2D,” she said. “What we’re seeing is a path of the person’s attention in 3D through space. Our paper is the first to attempt to model this.”

Ryan conducted most of the research while interning at Meta, where she used data from Meta’s Aria Digital Twin dataset. The dataset contains first-person video footage of users interacting with objects in an apartment.

“We chose that dataset because it has a high-fidelity 3D reconstruction of a full environment, which helps us get a ground-truth 3D gaze,” she said. “We can trace eye movement and see how it intersects with the environment.”

A video demonstration of Ryan’s work shows her software tracking a user’s path toward a table with a cup on it. Once the user picks up the cup, the software correctly predicts the direction the user will turn next.

“When we look at a scene, we don’t take in everything in full detail all at once,” she said. “We fixate on certain areas, and our gaze is a sequence of fixations, which might depend on what we’re trying to do. If we want to pick up a cup, we might look toward that and then the next step would be looking at where we’re going to put it down.”

Ryan said the software can predict, on average, up to three seconds into the future — and as far as 10 seconds in some cases. That’s enough time for the AR system to proactively render a more enhanced environment.

“We’re not looking that far into the future right now, but it would be interesting to explore longer forecasting windows,” she said. “I think potential futures would diverge pretty quickly, so we’re trying to explore what can reasonably be predicted from a short segment of a person looking and moving through space.”

Ryan said her paper served as a proof-of-concept, and that there is still much future work to be done. She already has some ideas.

“I think future models can include different scenarios to help narrow down possibilities. Sometimes a person’s gaze stays on one thing for a long time. If we know what someone is trying to do, we’ll have a better idea of the likely path their attention might go.”

There could also be future implications for her work in robotics research.

“It could potentially be used for training algorithms for robots to emulate active human perception. If we can understand what a person looks at as they perform a task, we could use that to facilitate a robot learning to do that same task.” 

The $250,000 funding award, made through GRA’s Innovation and Entrepreneurship (I&E) program, supports the translational work of Ankur Singh, Professor in the George W. Woodruff School of Mechanical Engineering and the Wallace H. Coulter Department of Biomedical Engineering, and Andrés García, Regents’ Professor in Mechanical Engineering and the Executive Director of the Parker H. Petit Institute for Bioengineering and Bioscience. Singh and García are collaborating to develop functional human antibodies against some of the most difficult-to-treat diseases. While antibody therapies already benefit an estimated 20 million patients worldwide, fewer than 10 percent of discovery efforts ultimately yield candidates suitable for clinical use.

This shortfall spans major disease areas — from oncology and autoimmune disorders to heart and metabolism-related conditions and neurological and infectious diseases — limiting therapeutic options for patients. The challenge lies not only in identifying candidate antibodies, but in engineering them to function reliably in the human body.

“The I&E program exists to bridge the gap between a discovery that works in the lab and one that can anchor a company,” said Justin Burns, Chief Innovation Officer and Vice President for Innovation and Entrepreneurship at GRA. “Singh and García are tackling a problem the field has faced for decades: A significant fraction of drug targets remains inaccessible to antibody-based therapies. Our goal is to help move bold, high-potential science toward real-world impact.”

GRA’s model targets a well-known bottleneck in translation. While university labs generate promising technologies, many stall before reaching the marketplace due to a lack of validation and early-stage development. 

Singh and García aim to overcome this barrier by using a proprietary antibody-engineering framework developed in Singh’s laboratory, and supported by an earlier GRA grant. The objective is straightforward: Increase the success rate of discovery efforts so more antibody candidates can advance toward clinical use.

“The implications extend well beyond our laboratory,” said Singh. “By expanding the pipeline of functional human antibodies, we can begin to address diseases that currently lack durable treatment options. GRA’s support is transformative — not only for advancing the science, but for positioning Georgia as a leader in biotechnology innovation.”

The project is built with real-world use in mind, aiming to turn the research into a new company and eventually a clinical product. By testing the idea early and lowering risk, the team hopes to attract investment and move the technology quickly beyond the Institute. 

García emphasized the translational vision of the work. 

“This is a transformative platform technology that overcomes major bottlenecks in antibody discovery and will accelerate and increase the efficiency of this powerful class of therapeutics,” he said.

“This effort is about rethinking how we design antibodies from the ground up — integrating biological insight with engineering principles to produce molecules that are not just viable, but clinically meaningful,” he said. “With GRA’s support, we can de-risk early discovery and create a clearer path from promising concepts to therapies that reach patients.”

 Tracey Mullen, a seasoned biopharma executive, entrepreneur, and antibody discovery and engineering leader currently serving as Chief Strategy Officer at Mosaic Biosciences, is advising the team on translational strategy, commercial development, and company formation. 

“The ability to rapidly generate functional human antibodies in physiologically relevant systems could meaningfully change how therapeutic discovery is approached,” Mullen said. “By moving beyond largely empirical, animal- or screening-heavy workflows and incorporating human-specific, mechanism-informed evaluation earlier in the process, this platform has the potential to generate more relevant antibody candidates and create a stronger path from discovery concept to translational development.”

As global demand for advanced therapeutics grows, efforts like this reflect a broader shift in how innovation moves from bench to bedside — one driven not only by scientific ingenuity, but by targeted investment at critical early stages.

With more than 150 attendees from industry, academia, and research organizations, the event’s high-level engagement underscored the urgency of critical issues facing the energy sector today, including the surging electricity demand, resiliency of the grid, and evolving supply chains, as well as the value of a dedicated space for candid, solutions-oriented dialogue.

“INTERSECT 2026 demonstrated the power of bringing together leaders who are actively shaping the future of energy,” said Laura Taylor, director of EPIcenter. “What began as a forum to explore emerging ideas has grown into a critical platform for aligning perspectives and advancing actionable solutions across the Southeast.”

This year’s program focused on real-world implementation challenges, including managing large-scale load growth and coordinating infrastructure investments to meet demand reliably and affordably. Panels featuring leaders from utilities, global energy corporations, and research organizations emphasized the importance of aligning strategy across sectors to ensure that the Southeast remains competitive and resilient.

Chris Womack, chairman, president, and CEO of Southern Company, delivered the keynote address, highlighting the unprecedented scale of current energy demands. 

“Meeting this moment requires us to think differently — serving growth while ensuring reliability, resilience, and long-term value for our customers and communities,” said Womack.

Launched in 2017, the inaugural INTERSECT conference marked the launch of EPIcenter itself and established Georgia Tech’s commitment to connecting research, industry insight, and policy development. It focused on the need to bridge the gap between rapidly advancing technologies and slower-moving regulatory and market frameworks, a theme that continues to shape its mission today. 

As INTERSECT 2026 concluded, participants pointed to a shared takeaway: With its industrial base, growing population, and integrated energy systems, the Southeast is uniquely positioned to lead in the next phase of the energy transition. With AI-driven power demand and grid infrastructure playing a significant role going forward, it is imperative to bring together the right voices to shape policies and strategies that will connect ideas to action.

The highly competitive Laboratory Placement program is a paid opportunity offered through the U.S. Department of Energy’s Science Undergraduate Laboratory Internships. It provides students from a wide range of disciplines an opportunity to contribute to cutting-edge research at leading facilities, including Argonne National Laboratory, Ames National Laboratory, Lawrence Berkeley National Laboratory, National Laboratory of the Rockies, Oak Ridge National Laboratory, Princeton Plasma Physics Laboratory, and Savannah River National Laboratory.

The program’s 2026 cohort includes 16 Georgia Tech students from disciplines such as artificial intelligence, materials science, aerospace engineering, nuclear engineering, chemical engineering, mechanical engineering, and physics. Their research placements reflect the interdisciplinary nature of today’s scientific challenges, with projects covering bioinformatics, high-energy and condensed matter physics, accelerator science, environmental management, and advanced materials.

Many of the internships are closely aligned with national energy priorities, with students working in research areas including nuclear energy, hydrogen and chemical systems, materials for energy applications, plasma and fusion sciences, and complex engineered systems.

“Georgia Tech’s deep engagement with the national laboratory system creates unparalleled opportunities for our students to contribute to the future of energy,” said Yuanzhi Tang, executive director of the Strategic Energy Institute. “By connecting interdisciplinary talent with world-class research environments, we are not only advancing discovery but also shaping the next generation of leaders who will drive secure, sustainable, and resilient energy systems.”

Working alongside national lab scientists, students will not only gain access to world-class facilities but benefit from mentorship and professional networks, while contributing to research critical to national security, economic competitiveness, and a more sustainable energy future. 

“These internships demonstrate the strength of Georgia Tech’s relationships across the federal research ecosystem,” said Robert Knotts, executive director of Federal Relations in the Office of Institute Relations. “They provide a direct pathway for students to engage in public service through mission-driven research at national laboratories — while strengthening connections that are vital to advancing national priorities in energy, security, and innovation.”

Traditional sleep monitoring systems often rely on bulky equipment and nasal cannulas — small tubes inserted into the nostrils to measure airflow. While effective, these systems can be uncomfortable, intrusive, and difficult to tolerate overnight, limiting their use for long-term monitoring at home.

Now, researchers led by W. Hong Yeo, Peterson Professor in Pediatric Research at the George W. Woodruff School of Mechanical Engineering, have developed a soft, wireless nasal patch that could offer a more comfortable alternative for monitoring breathing during sleep.

The technology, described in a recent study published in Proceedings of the National Academy of Sciences (PNAS), uses ultrathin, skin-like wearable electronics to detect subtle movements of the nose caused by breathing without tubes, wires, or direct airflow measurements.

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

The CAREER Award is the NSF’s most prestigious award in support of junior faculty who exemplify the role of teacher-scholars through outstanding research, excellent education, and the integration of education and research within the context of the mission of their organizations.

Blazeck will receive $647,941 over five years for “Creating and evolving antibodies from scratch in yeast.”

Antibodies are key proteins of the immune system that help fight disease. In people, immune cells called B cells create antibodies and then evolve them. B cells take months to do this, which makes it difficult to study antibody creation and evolution, Blazeck explained.

His CAREER project will design a method to evolve antibodies “from scratch” in yeast, which will open new avenues for exploring antibody creation, evolution, and function. 

Read the full story on the School of Chemistry and Biomolecular Engineering's website. 

Now, in a project led by the Georgia Tech Research Institute (GTRI) in collaboration with the Georgia Institute of Technology (Georgia Tech) researchers are closing the gap between Earth-based simulations and the true space environment by sending experimental materials to the International Space Station (ISS) for several months of in-orbit exposure. In a rare chance for space research, where most hardware is either left in orbit or burns up on reentry, they are getting those samples back for detailed analysis on Earth.

The materials are set to launch to the ISS in the near future as part of the Materials International Space Station Experiment 22 (MISSE-22), a testbed attached to the outside of the station. Mounted on the forward-facing side of the ISS to ensure predominant exposure to highly corrosive atomic oxygen, the test samples will spend several months enduring the extreme temperatures, radiation, and reactive environment of low Earth orbit. The team is testing a selection of lightweight, research-grade polymers designed to survive these harsh conditions. Once the samples return to Earth, engineers will examine how they held up and use that data to enhance the strategic of future satellite constellations.

This project represents a collaboration across government, academia, and industry, bringing together GTRI, Georgia Tech, the Air Force Research Laboratory (AFRL), the University of Texas at El Paso (UTEP), a California-based R&D firm Hedgefog Research Inc., and DuPont de Nemours, Inc. The research is also supported by Aegis Aerospace, which owns and operates the MISSE Flight Facility platform aboard the ISS.

Why Space is So Hard on Satellites 

Harsh conditions in low Earth orbit — the region of space extending from approximately 100 miles to over 1,000 miles above Earth, where many satellites and the ISS travel — can darken, roughen, and weaken spacecraft surfaces over time. That damage shortens satellite lifetimes and requires engineers to add extra layers of protection, increasing overall logistical burden and mission costs. 

Optimizing material durability is a strategic necessity, explained Elena Plis, a GTRI senior research engineer and principal investigator for the project, because every additional unit of shielding increases the cost of getting to orbit. To design lighter, more resilient materials, researchers need to examine how they degrade in a true space environment. However, most hardware is built for a one-way trip — designed to operate in orbit and then burn up on reentry, taking that valuable material data with it.

“The beauty of this type of experiment is that the materials return to Earth,” said Plis, who is also an affiliate of the Georgia Tech Space Research Institute. “For many missions, stuff is sent up and never seen again. Being able to test returned samples from real space conditions is unique, and I can’t stress enough how exciting that is for us.”
 

A New Generation of Polymers Head for Space

Instead of relying on familiar spacecraft materials like DuPont’s Kapton — a tough, heat-resistant polyimide plastic film that has coated spacecraft exteriors since the Apollo era — the team is sending up a set of new, lightweight, research-grade polymers. These materials are designed to improve the survivability of assets against space’s unforgiving elements.

Plis and her collaborators started with dozens of candidate materials they developed. To earn a spot on the MISSE-22, a sample has to be transparent or translucent, so light can pass through it, and researchers can examine how its optical properties change in orbit. The materials also have to be tough enough to withstand intense atomic oxygen exposure without fragmenting, which would create debris near the ISS. In the end, only a select number of the team’s materials made the cut.

The MISSE-22 testbed holds multiple experimental polymers. Instead of standard illumination, the team constructed a custom on-orbit polariscope: LEDs beneath each sample shine polarized light up through the material. A small camera system then slides over the top to capture these highly specific optical changes on a set schedule over the course of several months in space.

Using Light to Reveal Space Strain

Using polarized light and machine learning to rapidly analyze color patterns in the images they receive from orbit, the researchers can track how stress inside each sample changes over time. Periodically, the system will cycle through the materials, and the images will be downlinked to Earth.

When the extended mission ends and the samples return, the team will compare those in-orbit measurements with detailed lab tests on the actual pieces that flew. Without returned materials, they would only have images and sensor data to work from. By testing the same samples in the lab, they can check how accurate the remote measurements really are and refine their methods.

If the materials perform as expected, the results could help engineers design satellites that last longer in orbit without carrying so much protective weight —providing a significant technological advantage in space domain awareness and asset longevity.

About the Space Research Institute

The Space Research Institute (SRI) at the Georgia Institute of Technology is an interdisciplinary hub that unites faculty, staff, and students to advance research, education, and collaboration in space science and technology. Bringing together expertise across engineering, science, policy, and the humanities, SRI drives innovative projects in areas such as astrophysics, aerospace systems, astrobiology, and space policy while fostering partnerships with academia, industry, and government. As Georgia Tech’s central nexus for space-related initiatives, SRI is committed to advancing discovery, developing the future workforce, and expanding humanity’s understanding of space and its impact on life on Earth. Learn more at space.gatech.edu.

The Georgia Tech Class of 2026 celebrated one of its most significant accomplishments last week. Among those crossing the stage for the 2026 Spring Commencement is Marina Vemmou, who will be receiving her Ph.D. in computer science.   

“Her outstanding research accomplishments and contributions to the School and Georgia Tech led to this selection,” said Professor Christopher W. Jones, the John F. Brock III School Chair in ChBE@GT.

The $20,000 in discretionary funding from this one-year fellowship will support Jamali’s research activities focused on developing new tools for in situ liquid-phase transmission electron microscopy, stochastic thermodynamics, and nanoscience-based platforms.

The Spencers established the endowment from which the term fellowship funding comes in 2017. This endowment will eventually lead to the establishment of a professorship in ChBE@GT.

“Bob Spencer is a successful alumnus who has remained connected to our chemical engineering program,” according to Jones. “His family’s gift will allow ChBE@GT to support an early career professor at a critical stage of their development—the crucial years just before their promotion and tenure review. We are grateful for their support and generosity.”

Read Full Story on the ChBE Newspage

This concept of “lab tool as lab assistant” is the premise of a recent paper in npj | Computational Materials titled “Thinking Microscopes: Agentic AI and the Future of Electron Microscopy,” by Vida Jamali, assistant professor the School of Chemical and Biomolecular Engineering; Amirali Aghazadeh, assistant professor in the School of Electrical and Computer Engineering; and Josh Kacher, associate professor in the School of Materials Science and Engineering. 

In the paper, the team introduces the concept of “thinking electron microscopes,” in which agentic AI systems are directly integrated with the instrument. This allows microscopes to move beyond their conventional role as characterization tools and toward functioning as co-scientists for human users.

Drawing on advances in specialized large language models, or LLMs, that demonstrate their ability to collaborate, reason over data, and integrate prior knowledge, the team envisions specialized LLM-based agents assigned to specific roles and areas of knowledge expertise. By explicitly incorporating domain knowledge into specialized agents and distributing information across multiple agents with focused expertise, the approach enables parallel evaluation of competing hypotheses, clearer separation of roles — such as planning, simulation, and critique — and more transparent and robust reasoning.

Within the experimental pipeline, these agents can analyze materials’ properties, physical data, chemical processes, and other relevant parameters. They could also collaborate with an agent that specializes in experimental design, refining iterative closed-loop experimentation, and real-time scientific discovery.

Although the research focuses on AI collaboration, the team notes that human researchers must retain accountability for the accuracy and integrity of both the experimental process and the results reported. This oversight begins with advocating for greater open access to research materials in all formats, building community-driven data repositories, and adopting standardization in how experimental parameters and metadata are reported. Equally important, researchers should be willing to report data from failed experiments as well as successful outcomes. Finally, organizations should work together to standardize secure APIs that enable shared, remote access to infrastructure across distances.

We see this as a step toward scientific instruments that do more than acquire data; systems that can reason over experiments, adapt measurements, and participate in the scientific discovery process alongside researchers. - Vida Jamali, assistant professor the School of Chemical and Biomolecular Engineering

The team is already developing these systems by connecting cloud-based, agentic infrastructures to microscopes at the Institute for Matter and Systems at Georgia Tech. With the addition of agentic AI, the goal is to accelerate discovery and engineering of new nanoscale materials for energy and quantum applications, as well as advance capabilities in cryo-electron microscopy and structural biology. These tools can optimize data collection, link real-time microscope observations with structural models of proteins, and dynamically adjust and prioritize experiments. The team sees this work as the first step toward the next generation of “thinking” electron microscopes, as well as an advancement in scientific discovery across domains. 

 - Christa M. Ernst

This research is supported by the Institute for Data Engineering and Science and the Institute for Matter and Systems

Original Publication
Jamali, V., Aghazadeh, A. & Kacher, J. Thinking microscopes: agentic AI and the future of electron microscopy. npj Computational Materials 12, 149 (2026). https://doi.org/10.1038/s41524-026-02077-y

The Board of Regents of the University System of Georgia awarded the program the 2026 Teaching Excellence Award for Department or Program.

MSHCI program director Dick Henneman and assistant director Carrie Bruce received the award on May 12 during a Board of Regents (BOR) meeting.

Henneman has served as director of the program since 2015, and Bruce has served as assistant director since 2014. The program began in 1996 and has since expanded to be offered by four Georgia Tech schools:

• Interactive Computing
• Industrial Design
• Literature, Media, and Communications
• Psychology 

“As we put our award submission together, it was nice for us to reflect on all our hard work and to understand the impact this program has had on students,” Bruce said. “We recently surveyed alums, and so many said they were thankful for the way this program shaped their careers.”

Under the leadership of Henneman and Bruce, the program has achieved a 99% graduation rate, with about 60 graduates per year, up from about 30 since 2015. Henneman said the program has become one of the most competitive of its kind in the world, with an admission rate under 10%.

“We have some incredibly qualified students who are a part of the program,” he said. “We’ve had a number of graduates move into design management positions, and some have started their own companies.”

Henneman and Bruce said that one thing that distinguishes Tech’s MSHCI program is its close partnerships and alignment with industry. The program has an industry advisory board that keeps students informed about the skills companies value.

“We adapted our core classes quite a bit to ensure that they weren’t just getting the academic version of HCI methods,” Bruce said. “Our program is practical and focuses on what they are going to do when they get into industry.”

Though the program continues to grow, Henneman says it has maintained a sense of community among students, which he says is another thing that sets it apart. Many alumni keep in touch and return to offer industry advice, critique resumes, and conduct mock interviews with current students.

“A lot of times graduate school can be all about the individual,” he said. “As we prepare students to go work in industry, it’s all about collaboration and the people you’re working with and learning how to work on teams.”

Georgia Tech had 21 faculty and researchers recognized in the 2026 Regents Awards. From the College of Computing, Santosh Vempala was named a Regents’ Professor, while Srinivas Aluru and Ellen Zegura had their Regents’ titles renewed.

The peak of the severe weather season is nearing its end, but in Georgia, it's been a quieter period than residents have become accustomed to in years past, devoid of the flurry of tornado warnings, heavy rain bands, and thunderstorms. Zachary Handlos, director of the B.S. in Atmospheric and Oceanic Sciences degree program, explains that the region lacked a major component of the severe weather formula.  

The Shurl and Kay Curci Foundation funds science-based projects with an emphasis on advancing a healthy and sustainable future for humans, focusing on early-stage research with far-reaching and lasting implications.

“This is a special program that supports junior faculty with particular creativity,” says School of Biological Sciences Chair Todd Streelman. “The best part for me is that representatives from the Curci Foundation visit our campus and conduct in-person interviews, showing they value both the projects and the young scientists.”

Nathan McDonald: Understanding Synapses and Engineering their Repair

The McDonald Lab studies the fundamental biology of synapses, the tiny structures that allow neurons to communicate. Their research focuses on understanding how the nervous system and brain develop, specifically how hundreds of billions of neurons form and connect through trillions of synapses – and how they continue to change throughout adult life. 

“What’s exciting about the grant is that it allows us to apply that knowledge and explore whether and how we might control synapse formation,” explains McDonald.

The McDonald Lab will examine whether the molecular processes neurons use to build synapses during early development can be reactivated later in life.

If successful, the new research could have implications for aging and neurodegenerative conditions in which synapses are lost, potentially revealing ways to repair specific synapses and restore their function.

“Many researchers are interested in repairing or regenerating synapses. Most approaches so far have focused on pharmaceuticals – using drugs to influence synaptic strength. What makes our approach unique is that we are trying to leverage the developmental machinery that neurons already have,” he explains.

McDonald and his team are working with Caenorhabditis elegans, a microscopic roundworm widely used in neuroscience research. The organism offers a simplified, tractable system for examining how synapses are built, dismantled, and potentially rebuilt.

“If we can demonstrate proof of concept in a simple nervous system, that opens the door to scaling these approaches to more complex models,” explains McDonald.

He plans to use the Curci funds to support students and staff as they explore these new methods for engineering synapse formation.

“The work has the potential to be developed into something more translational and applicable to disease,” says McDonald. “These sources of funding are incredibly important for launching new research directions.”

Farzaneh Najafi: Exploring Sleep and the Cerebellum’s Role in Cognitive Health

The Farzaneh Najafi Lab examines predictive processing, how the brain makes and learns predictions about the world. Najafi’s research focuses on deepening understanding of how sleep supports learning and cognitive health across the lifespan. 

Najafi’s Curci-funded research will examine how the brain uses sleep to reorganize itself after learning, with a particular focus on the cerebellum, a region that contains nearly 80 percent of the brain’s neurons. By identifying changes in cerebellar activity during sleep, her work has the potential to improve early detection of neurological disorders.

“We know that sleep stabilizes memories in areas like the cortex and hippocampus, but we know very little about what sleep does in the cerebellum,” says Najafi. “This grant allows us to bring sleep, cerebellar circuitry, and learning together.”

Najafi and her team will combine behavioral experiments with high-resolution imaging to study how cerebellar circuits and synapses change across wake and sleep.

“We’re looking at cerebellar activity during sleep at the circuit and synapse level to see how learning-related changes unfold,” explains Najafi.

In some cerebellar disorders, sleep disturbances can appear five to 10 years before motor symptoms begin. By identifying early changes in cerebellar activity during sleep, Najafi’s research could help pinpoint neurological disease at a stage when intervention may still be possible.

Curci funding will allow Najafi’s lab to collect foundational data needed to establish the first mechanistic links between sleep, cerebellar activity, and long-term brain health.

“Many traditional funding mechanisms are hesitant to support these kinds of higher‑risk directions, especially early on, but this award makes it possible to pursue a new and promising line of inquiry,” says Najafi.

“From my seat, I can feel the energy. I see the momentum. We're all about growth and change,” said Vivek Sarkar, dean and John P. Imlay Jr. Chair of the College of Computing. 

“But those are just words. What's really behind the words is all the hard work put in by all of you.Today's celebration is for the entire College, all of you, and all your hard work.”

Students, faculty, and staff from the School of Computational Science and Engineering (CSE) were among those recognized at the celebration. Their accomplishments reflected a year dedicated to excellence in research, teaching, and service. School of CSE award recipients included:

• Grace Kim, M.S. computer science (CS) student: Donald V. Jackson Fellowship
• Sri Ranganathan Palaniappan, M.S. CS student: Donald V. Jackson Fellowship
• Ethan Yang, M.S. CSE student: Marshall D. Williamson Fellowship
• Alumnus Austin Wright (Ph.D. ML-CSE 2025): Outstanding Doctoral Dissertation Award
• Huili Huang, Ph.D. CSE student: Outstanding Graduate Research Assistant Award
• Arlene Washington-Capers, school administrative officer: 25 Years of Service Acknowledgment

Two lecturers in the School of Computing Instruction with ties to the School of CSE received awards at the celebration.

Max Mahdi Roozbahani received a Dean’s Award, which went to instructors who taught class sizes over 350 students this year. A Class of 2019 CSE alumnus, Roozbahani teaches CSE 6242: Data and Visual Analytics.

Nimisha Roy received the Monica Sweat Outstanding Lecturer in External Engagement Award. She earned her Ph.D. in CSE in 2021. 

Professor Polo Chau advises Kim, Palaniappan, and Wright, and recommended them for their awards. 

Chau is an associate director of Georgia Tech’s M.S. Analytics program, which won the UPS George D. Smith Prize at the Institute for Operations Research and the Management Sciences (INFORMS). The award recognizes excellence in preparing students to become practitioners of operations research and analytics.

For Kim, the Jackson Fellowship was the latest achievement in a year decorated with accolades. She was one of two School of CSE students to receive the National Science Foundation (NSF) Graduate Research Fellowship Program award (GRFP). Kim was also selected for a Fulbright U.S. Student Program Research award.

Ph.D. student Abir Haque was CSE’s second NSF GRFP awardee, receiving the grant to advance research in scientific computing. Advised by School of CSE Professor and Associate Chair Edmond Chow, Haque additionally received a Department of Energy (DOE) Computational Science Graduate Fellowship.

Chow was appointed to several leadership roles this year in the Society for Industrial and Applied Mathematics (SIAM). The organization selected Chow as vice president for programs. SIAM also named him as co-chair of next year’s Conference on Computational Science and Engineering. 

NSF presented the CAREER award to two CSE faculty. Assistant Professor Yunan Luo received a grant to build artificial intelligence models to study understudied proteins in biology. 

Elizabeth Qian is an assistant professor in the Daniel Guggenheim School of Aerospace Engineering with a joint appointment in the School of CSE. Her NSF CAREER award will support research developing machine learning methods that learn from multi-fidelity data.

Researchers from the School of CSE were finalists for the 2025 Gordon Bell Prize. Assistant Professor Spencer Bryngelson led a team that included Ph.D. students Ben Wilfong and Anand Radhakrishnan, Research Staff member Dan Vickers, and alumnus Henry Le Berre (CS 2025). 

The team achieved the largest computational fluid dynamics (CFD) simulation to date, exceeding the current record by a factor of 20. The group simulated interacting plumes of 33 rocket thrusters inspired by the SpaceX Super Heavy booster.

Bryngelson advises Melody Lee, an undergraduate student who was one of three Georgia Tech students to receive a Barry Goldwater Scholarship this year. She received the award to continue research at the intersection of quantum computing and CFD.

Assistant Professor Qi Tang received the DOE Early Career Research Award. He is the first-ever faculty member from CSE and the College of Computing to receive the award. 

The $875,000 award will support Tang for five years as he researches particle data processing and compression, with applications in fusion, accelerator, and nuclear physics.

Tang was also selected as a Summer Early Career Scholar of Digital Futures at KTH Royal Institute of Technology in Sweden.

Bryngelson and Tang were selected as collaborators for three DOE Predictive Science Academic Alliance Program (PSAAP IV) Centers. The program leverages the academic community to advance science-based modeling and simulation. 

One of Tang’s students, Alex de Magalhaes, received a SPARK Award scholarship from the Georgia Tech Strategic Energy Institute. The award recognizes outstanding student engagement in energy research.

The National Institutes of Health (NIH) awarded prestigious R01 grants to three CSE faculty, each valued at $1.2 million. 

Assistant Professor Anqi Wu is using the grant to study multi-animal social behavior using advanced representation learning and reinforcement learning. 

NIH awarded a grant to Assistant Professor Kai Wang and Professor B. Aditya Prakash to build an AI framework to efficiently treat patients diagnosed with diabetes and other chronic diseases.

Prakash advises M.S. student Sudarshan Anand, who claimed two awards at the 2025 International Conference on Biomedical and Health Informatics. First, Anand was the champion of the conference’s data challenge competition. Then, the conference selected him as a Young Professional NextGen Scholar. 

Ph.D. student Yiqiao (Ahren) Jin was selected as a 2026 MLCommons ML and Systems Rising Star. He was one of 39 total awardees and participated at the 2026 ML and Systems Rising Stars workshop is hosted by AMD.

Assistant Professor Victor Fung won a 2025 Google Scholar Program award. He received the award in the Applied Science category for multi-modal scientific agents for in silico materials discovery and inverse design. The Research Scholar Program provided up to $60,000 to early-career professors to support advancement of their research.

This year, the College of Computing selected School of CSE Professor Rich Vuduc as director of Georgia Tech’s Center for Scientific Software Engineering (CSSE). The center was formed in 2022 from an $11 million investment from Schmidt Sciences. Georgia Tech was one of four universities that Schmidt Sciences selected to host a center. 

CSSE develops custom software tools and best practices to meet scientists' needs. Overall, this approach accelerates the pace and quality of scientific discovery.

Vuduc advised alumnus Elizabeth Hong (CS 2025), who received a Fulbright U.S.-Korea Presidential STEM Initiative Award. Designed to promote academic and cultural exchange, the award provided graduating college seniors and graduate students funding to pursue independent research projects in Korea on STEM topics of their choice.

Vuduc advises Ph.D. student Max Hawkins, who was selected for the OMSCS Pre-Doctoral Fellowship program. 

The program provided Hawkins support to design and teach a one-credit, pass/fail/audit seminar course. Hawkins taught Computing at Scale: The Design, Operation, and Societal Impacts of Data Centers in Fall 2025 and a research course in Spring 2026.

Hawkins also received a $3,000 scholarship through the 7X24 Exchange Atlanta Scholarship Program. He was one of three scholarship recipients awarded to students in the greater Atlanta area with research interests in the data center industry.

Vuduc advises Team Phoenix, Georgia Tech’s student cluster competition team. Team Phoenix placed first among USA participants and sixth internationally at SC25’s IndySCC competition (30 total teams, 12 USA and 18 international). The team was graded on optimizing techniques and running industry standard benchmarks on supercomputers. 

The team included computer science undergraduate students Alexander Ichtovkin, Alex Kim, Aiden Lambert, Sahil Samar, Seth Yiming Shi, and Venkata Sai Aditya Reddy Devarapalli. Graduate students Charles Lindsey and Jay Saraha mentored the team coached by Research Scientists Jeff Valdez, Aaron Jezghani, and Will Powell.

Alumni Ziyi (Francis) Yin (Ph.D. CSE-CSE 2024), Rafael Orozco (Ph.D. CSE-CSE 2024), Mathias Louboutin (Ph.D. CS-CSE 2020), and Professor Felix Herrmann received an honorable mention for the Best Paper of 2024 from the journal Geophysics. The award, presented in 2025, recognized the group’s work on WISE: a full-waveform variational inference via subsurface extensions.

Georgia Tech approved both of CSE’s promotion cases this year. Elizabeth Cherry will be promoted to full professor. Srijan Kumar will be promoted to associate professor with tenure. 

The NSF CAREER Award supports early-career faculty who have the potential to serve as academic role models in research and education and to lead advances in the mission of their department or organization. The award provides $662,045 over five years to support Sanders’ project, Patterning Hard Interlocking Particles to Achieve Soft Materials and Structures.

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

That sense of purpose shaped Spring 2026 Commencement, where School of Computational Science and Engineering (CSE) graduates celebrated years of research, collaboration, and discovery.

“Today, we celebrate you, your accomplishments, and your potential,” said Georgia Tech President Ángel Cabrera in his commencement address to Ph.D. graduates.

“I thank you for choosing a career of science and research when some question science and research. We need you to continue on this path. The world needs you.”

In addition to administering its flagship CSE Ph.D. and M.S. programs, the School of CSE offers doctoral degrees in computer science and machine learning. Ph.D. students who received their diplomas and doctoral hoods on May 7 at McCamish Pavilion were:

• Muhammed Balin (Ph.D. CS-CSE 2026), advised by School of CSE Professor Ümit Çatalyürek
• Andrew Hornback (Ph.D. CS-CSE 2026), co-advised by School of CSE Assistant Professor Yunan Luo and Wallace H. Coulter Department of Biomedical Engineering Professor May Wang
• Chengrui Li (Ph.D. CSE-CSE 2026), advised by School of CSE Assistant Professor Anqi Wu
• Xinhai Pan (Ph.D. CSE-CSE 2026), advised by School of CSE Assistant Professor Anqi Wu
• Kaan Sancak (Ph.D. CSE-CSE 2026), advised by School of CSE Professor Ümit Çatalyürek
• Agam Shah (Ph.D. ML-CSE 2026), co-advised by Scheller College of Business Professor Sudheer Chava and School of CSE Associate Professor Chao Zhang
• Kartik Sharma (Ph.D. CS-CSE 2026), advised by School of CSE Assistant Professor Srijan Kumar

This semester, 14 CSE doctoral students completed M.S. degrees and will continue their studies at Georgia Tech. They are: 

• Bin Bai (M.S. EAS-CSE), advised by School of Earth and Atmospheric Sciences Assistant Professor Pengfei Liu
• Afrouz Delshad (M.S. CSE-CSE 2026), advised by College of Computing Associate Dean for Graduate Education and School of CSE Associate Professor Elizabeth Cherry
• Roy Makkar Gabriel (M.S. ECE-CSE 2026), advised by School of Electrical and Computer Engineering Professor Ali Adibi
• Alina Maximovna Gorbunova (M.S. ISYE-CSE 2026), co-advised by H. Milton Stewart School of Industrial and Systems Engineering Professors Kamran Paynabar and Jianjun Shi
• Wenbo Hao (M.S. MATH-CSE 2026), advised by School of CSE Assistant Professor Peng Chen
• Xueyu Hu (M.S. MSE-CSE 2026), advised by School of Materials Science and Engineering Regents’ Professor Meilin Liu
• Dayoung Kang (M.S. AE-CSE 2026), advised by Daniel Guggenheim School of Aerospace Engineering and School of CSE joint Assistant Professor Elizabeth Qian
• Soohwan Kim (M.S. ME-CSE 2026), advised by George W. Woodruff School of Mechanical Engineering Professor David Hu
• Xuanang Li (M.S. MATH-CSE 2026), advised by School of Mathematics Assistant Professor Tom Kelly
• Nitya Maruthuvakudi Venkatram (M.S. AE-CSE 2026), advised by School of AE Regents’ Professor Dimitri Mavris
• Nilavrah Sensarma (M.S. BIO-CSE 2026), advised by School of Biological Sciences Professor John McDonald
• Benjamin Wilfong (M.S. CSE-CSE 2026), advised by School of CSE Assistant Professor Spencer Bryngelson
• Xiaofeng (Alex) Wu (M.S. CEE-CSE 2026), advised by School of Civil and Environmental Engineering Regents’ Entrepreneur David Frost
• Keyang (Alfred) Zhong (M.S. ISYE-CSE 2026), advised by School of ISyE Professor Chelsea White

Georgia Tech’s CSE graduate program includes 12 schools and departments participating as home units. These home units represent the colleges of Computing, Engineering, and Sciences. This approach facilitates an immersive, interdisciplinary experience in which students study computational methods within their respective domains.

Georgia Tech celebrated master’s graduates at a May 9 ceremony at Bobby Dodd Stadium. After the Institute celebration, graduates were recognized during ceremonies held by their respective colleges.

Mohammed Wazir Adain (M.S. CSE 2026)

Aditi Agarwal (M.S. CSE 2026)

Sudarshan Anand (M.S. CSE 2026)

Arjun Bansal (M.S. CSE 2026)

Shraddha Bharadwaj (M.S. CSE 2026)

Aarushi Biswas (M.S. CSE 2026)

Anurita Bose (M.S. CSE 2026)

Hao-Cheng Chang (M.S. CSE 2026)

Nai-Jen Cheng (M.S. CSE 2026)

Yida Cheng (M.S. CSE 2026)

Denys Chernenko (M.S. CSE 2026)

Aarushi Vishal Dhanuka (M.S. CSE 2026)

MacKenzie Taylor Starr Drury (M.S. CSE 2026)

Chandra Sekhar Reddy Edula (M.S. CSE 2026)

Shiqi Fan (M.S. CSE 2026)

Yuanting Fan (M.S. CSE 2026)

Wen (Ava) Feng (M.S. CSE 2026)

Amrutha Praveen Ganapathiyat Othayoth (M.S. CSE 2026)

Aman Garg (M.S. CSE 2026)

Xin Guan (M.S. CSE 2026)

Yunmei Guan (M.S. CSE 2026)

Srihas Gunda (M.S. CSE 2026)

Yihui Han (M.S. CSE 2026)

Keenan Wai-sean Hom (M.S. CSE 2026)

Shiqi Hu (M.S. CSE 2026)

Wenxin Jiang (M.S. CSE 2026)

Harneet Singh Khanuja (M.S. CSE 2026)

Hyunjeong Kim (M.S. CSE 2026)

Vijay Prabhas Kodamalla (M.S. CSE 2026)

Neel Kothari (M.S. CSE 2026)

Ziji Li (M.S. CSE 2026)

Qinye Liu (M.S. CSE 2026)

Ruixin Liu (M.S. CSE 2026)

Yibo Liu (M.S. CSE 2026)

Shenyifan Lu (M.S. CSE 2026)

Wenliya Lyu (M.S. CSE 2026)

Aditya Akash Mavle (M.S. CSE 2026)

Samuel Wesley Moss (M.S. CSE 2026)

Shruti Santosh Murarka (M.S. CSE 2026)

Karthic Palaniappan (M.S. CSE 2026)

Shrey P. Patel (M.S. CSE 2026)

Tanish R. Patwa (M.S. CSE 2026)

Tim Minh Phan (M.S. CSE 2026)

Jing Qi (M.S. CSE 2026)

Wanrong Qi (M.S. CSE 2026)

Hui Qiao (M.S. CSE 2026)

Aditya Raghavan (M.S. CSE 2026)

Araceli Rodriguez Vallejo (M.S. CSE 2026)

Chloé Saleh (M.S. CSE 2026)

Vanshika Shah (M.S. CSE 2026)

Kaichen Shen (M.S. CSE 2026)

Bohan Shu (M.S. CSE 2026)

Kunhao Song (M.S. CSE 2026)

Ajeet Karthik Subramanian (M.S. CSE 2026)

Jingyun Sun (M.S. CSE 2026)

Yupeng Tang (M.S. CSE 2026)

Michael Kenneth Thompson (M.S. CSE 2026)

Yu Chu Tsai (M.S. CSE 2026)

Viren Dipin Varma (M.S. CSE 2026)

Aarushi Chetan Wagh (M.S. CSE 2026)

Yiling Wu (M.S. CSE 2026)

Yitong Wu (M.S. CSE 2026)

Jiayi Xu (M.S. CSE 2026)

Shuyan Yang (M.S. CSE 2026)

Yiming Ye (M.S. CSE 2026)

Zhenghao You (M.S. CSE 2026)

Yijia Zeng (M.S. CSE 2026)

Jinkai Zhan (M.S. CSE 2026)

Yuehan Zhang (M.S. CSE 2026)

Xinyu Zhao (M.S. CSE 2026)

Yuqian Zheng (M.S. CSE 2026)

Alexander Zhou de Magalhaes (M.S. CSE 2026)

Shizhuo Zhu (M.S. CSE 2026)

Xiaoai Zhu (M.S. CSE 2026)

Xinjie Zhu (M.S. CSE 2026)

Omar Garcia Urdiales, CREATE‑X’s associate director of Learn, brings a global entrepreneurial experience to Georgia Tech: founder and CEO of a startup operating in the AWS Accelerator Loft, longtime startup coach in Europe’s major innovation hubs, lecturer across multiple universities, and an external doctoral researcher in entrepreneurship and digitalization. He brings this background to his teaching of Startup Lab’s latest iteration – a significant redesign developed by VentureLab’s Director Keith McGreggor. McGreggor created the course and has evolved it over many years, building on its initial success.  

“This new iteration of Startup Lab allows us to meet students exactly where they are,” said McGreggor. “By doing this, we give them the strongest foundation possible, providing them with the tools to grapple with uncertainty and build their confidence.” 

Startup Lab has long anchored the Institute’s entrepreneurial pathway with clearer structure, a unified language, and a deeper focus on reflective growth, so more Georgia Tech students can discover (and trust) their own entrepreneurial judgment.

Startup Lab is expanding responsibly, with six sections in Atlanta and additional global sections in France and Asia-Pacific taught by faculty trained in the curriculum. Students here benefit from a program that’s learning across borders and bringing that learning back to campus.

“Startup Lab is not about becoming an entrepreneur, but about engaging in the unknown and adopting entrepreneurial behavior, which can be applied to all career paths,” Urdiales said. “Students become better equipped to identify problem spaces and solve them through evidence-based building.” 

Start Where You Are

Urdiales emphasized that Startup Lab is built for students who are still exploring, uncertain, or are simply curious.

“Many students tell us they’re curious about entrepreneurship but feel not ready,” he said. “They worry they’re too introverted for customer interviews or assume Startup Lab is only for people with fully formed ideas. In fact, those are the most common misconceptions.”

The course’s first few weeks focus on training students to see struggles and patterns in the world. Then, they apply those skills on a team, exploring, designing, and testing a concept with real people. The nonnegotiable outcome isn’t the best idea; it’s a more confident, evidence-driven version of you. 

“Startup Lab is strengthening that self-awareness. All of us who are entrepreneurs, we don’t grow linearly. We have various iterations of how we see things,” Urdiales said. “This ability to see patterns or to see problems with customer discovery, it’s a learning process and a growth process.” 

Building Muscle Memory

Urdiales said that students won’t have a passive experience in the lab.

“To become an entrepreneur, you need to do it. You need to engage with customers. You need to get out of the building,” he said. “It gives you the ability to incorporate theoretical frameworks into practical solutions and then understand these more practical outcomes.”

Aligning with CREATE-X’s culture of continuous iteration, Startup Lab is tightening the hands-on core of the course around four simple, repeatable tools so that entrepreneurial thinking becomes muscle memory, not a one-off assignment. The new iteration of the curriculum, developed by McGreggor, helps students learn to: 

• Elicit grounded problem stories from real people (and separate observations from interpretations).
• Make explicit strategic decisions — who you serve, what you offer, how you deliver, how you get paid — and back them with discovery evidence.
• Externalize your logic with clear Business Model Canvas snapshots (hypotheses ≠ decisions ≠ open questions).
• Design minimum viable experiments (MVEs) that can falsify assumptions, not just confirm them. 

“What we have is a frontier model in entrepreneurial education,” said McGreggor. “The result is a course that teaches sound decision making and builds entrepreneurial confidence that rewards authentic discovery and iteration over performative polish. It creates a more solid foundation for entrepreneurial thinking and sets students up to engage more deeply with everything that follows in their CREATE-X pathway.” 

Reflection as a Feature

As a part of Startup Lab, instructors integrate reflection throughout the semester, which helps students notice patterns of work, make small experiments, and adjust based on what’s learned. Students often worry they’re not the founder type or that their introversion will hold them back; Startup Lab reframes those worries as raw material for growth, including communication skill building and one-on-one interactions you won’t always get in higher-level courses. 

Startup Lab integrates HaradaLite — McGreggor's adaptation of the Japanese Harada Method — as a weekly reflection practice in which students keep a reflection log, helping them notice patterns of work, run small experiments, and adjust based on what's learned. With this approach, educators are able to measure the growth of entrepreneurial confidence by self-report, leading to a more quantitative approach to teaching.

A Common Language Across CREATE‑X

There’s no mandated order for CREATE-X courses. Startup Lab simply makes the next steps clearer by providing a shared language and milestone structure across sections and instructors, so whatever comes next (I2P, Capstone, Launch, or an internship), you can carry forward a coherent, evidence- aware story of your work. 

“All CREATE‑X Learn sections will work with the same milestone objectives,” Urdiales said. “Students trained in Startup Lab are already trained in the muscles of entrepreneurship. They’re more equipped to go into Make and Launch or be a leader within their industry.”

Built To Be Inclusive Across Disciplines and Needs

Startup Lab is about becoming the kind of person who can see opportunities, reason from evidence, and make better decisions when the path isn’t obvious. 

• You do not need an idea or a pre‑built team — curiosity is enough.
• You do not need special permits to enroll. Startup Lab is open to anyone ready to explore.
• You can benefit from the course before or after I2P or Capstone, since there’s no fixed order to the CREATE‑X pathway.
• Introverts are welcome. The course intentionally builds communication skills through structured, low-pressure interviews and guided interaction. 

“Startup Lab helps students see the world’s problems and fill the gaps with fresh ideas, teaching them to see and understand the important difference between evidence and inference,” said McGreggor. “This lays the foundation that leads to good founders, and builds the entrepreneurial confidence needed to succeed.”

What You’ll Actually Do 

Students in Startup Lab can expect a workshop-heavy, conversation-rich semester with weekly artifacts, scenario-based decision prompts, startup reports, and quizzes that keep you honest about what you’re learning. You’ll assemble a Continuity Pack near the end: a compact bundle of your best discovery evidence, decisions, MVEs, economics, and final story slides so your future self (or your I2P/Launch application) can pick up right where you left off. 

The course also sets norms for modern tool use. AI is welcomed as a coach and organizer, after your own baseline thinking and research, and as an enhancement of the real conversations you have. That matters because Startup Lab’s promise is that you build solid judgment under the test of uncertainty, critical to the world of today and the future that is being built. 

Jump Into Startup Lab

You don’t have to have it all figured out. If you’re a first-year student still exploring, a junior craving real-world projects, or a senior looking to stand out in interviews, Startup Lab is for you. 

Seats fill quickly across all sections — and for good reason.
This course gives you the clearest, most supportive on‑ramp into CREATE‑X, with a global methodology, a unified curriculum, and instructors who believe deeply in your potential to grow. Learn how to think entrepreneurially. See the world differently. Build the confidence that will follow you long after the semester ends.

Register for Startup Lab for Fall 2026.

 

Between orchestra concerts, magic shows, and yo-yo exhibitions, Li thrives in the limelight. In fact, not much rattles his nerves considering the five years of pressure he endured studying computational neuroscience at Tech.

Before he returns to New York City to continue building brain-interface technologies at Meta, we caught up with Li to learn how he keeps such a cool head at Georgia Tech and beyond.   

Graduate: Chengrui Li

Research Interests: Computational neuroscience, eye-tracking experiments and data analysis, statistical machine learning

Education: Ph.D. in Computational Science and Engineering (CSE)

Faculty Advisor: School of CSE Assistant Professor Anqi Wu

What persuaded you to attend graduate school at Georgia Tech?

My undergraduate was at Sichuan University in China. We knew that the most cutting-edge technology and research were in the United States, so I participated in an undergraduate exchange program at the University of Tennessee, Knoxville, during my third year. 

I wanted to pursue a Ph.D. in neuroscience while also becoming very proficient in math and computer science (CS). This led me to apply to the CSE Ph.D. program over others. Georgia Tech’s CS ranking is very high, and the CSE program is very interdisciplinary, which matched my expectations super well. I did attain a solid education in math and CS at Georgia Tech. I also advanced my interest in neuroscience and its application by studying mathematical models and algorithms.

What research project from Georgia Tech are you most proud of?

My variational importance sampling paper is a favorite. That one was based heavily on statistical inference. I spent many hours working through complicated derivation calculations, often half-awake and half-asleep after several late nights. 

This paper confirmed to me, though, that innovative research requires both hard work and inspiration, and that this endeavor can be rewarding. The paper was selected as a top 5% spotlight paper at ICLR 2024, a world-leading conference on artificial intelligence research.

Could you share more about your role as a research scientist at Meta?

I have been working on Meta’s electromyography (EMG) neural band. This next-generation human-computer interaction device connects with and navigates Meta’s AI glasses.

With the neural band, you can use finger gestures to control the display content you see through the glasses, like swiping your thumb to scroll the screen, or writing on your lap as if you had a pen in your hand to send WhatsApp messages.

How did your Georgia Tech education prepare you for this role?

By pursuing my Ph.D., I am more proficient in critical thinking, math, coding, and presentation. During my interview, I demonstrated these skills and provided my publication records. This helped me land an internship, enabled my success in that role, and led to a full-time position. Additionally, my background in computational neuroscience best matched the work on the EMG neural band team at a big tech company.

What advice would you give someone interested in graduate school?

First, be clear whether a bachelor’s or master’s degree meets your work needs, or if you are truly interested in a scientific research topic. This interest should be based on your own passion, not the current trends. Interest is an important factor in deciding to pursue a Ph.D. because you have to like the topic and like it for a long time. A Ph.D. will require you to dive deep into a subject you must be genuinely curious about.

Second, we are in a new era with rapid advances in information technology. Time is an invaluable resource and is shaped by technology. You have to think more about your time, consider where and how you spend it, and embrace ways to use it more efficiently. 

Can you tell us more about your hobbies and how you keep up with them?

I started learning violin when I was five years old, and magic tricks when I was 11. The brain is a supercomputer suitable for functional computation. Our brain is an interface between the objective and subjective, where computation plays a core role in integrating these exact mechanics into interpretations of the world. This realization was one of the important factors that inspired me to pursue my Ph.D. research in computational neuroscience.

Another comparison I’ve learned after playing violin for 23 years is that the cochlea in our inner ear is a fast Fourier Transformer that simultaneously computes the aesthetic of music for us. Performing magic tricks for 17 years taught me that all the occurrences of seemingly low-probability magic phenomena are achieved by either letting it be a certain event or exhausting all possibilities.

I also have other hobbies, like yo-yo balls. I enjoy performing all these skills in front of audiences. Performing brings me satisfaction when I see excitement and happiness from the people I entertain. I am very grateful to my parents for their cultivation and encouragement in doing things that bring me fulfillment. They taught me to be curious and explore my interests, to enjoy pastimes, and instilled the habit to not give up my passions. These were not secondary things that distracted me from coursework or Ph.D. research, but rather complementary parts of my life that bring out the best in me.

What is your favorite Georgia Tech memory?

I have a lot. For my research, I debated frequently with Anqi Wu, my advisor. These often went late into the night to defend my stances. These challenged my beliefs and made me a stronger scholar, for which I am grateful to Anqi for her time and patience.  

I also enjoyed performing in the Georgia Tech symphony orchestra with our great conductor, Chaowen Ting. I was involved with the Georgia Tech Chinese Students and Scholars Association, where I showcased magic and yo-yo performances at organization events.

Jain is one of 15 scientists selected this year for “their promise to change their fields by solving nature’s puzzles in a broad range of fields and develop next-generation technologies that can reveal biological function,” according to a Searle Scholars Program press release. 

“We are honored to be part of the Searle Scholars Program,” Jain says. “For a young lab with ambitious goals, this kind of recognition means everything. It gives us the confidence and resources to pursue high-risk, high-reward questions that could one day make a real difference for people affected by neurodevelopmental disorders.”

Jain received his Ph.D. in molecular and cellular biology from the University of Arizona and completed his postdoctoral work at the University of California, Los Angeles. He joined Georgia Tech in 2024.

The Parker H. Petit Institute for Bioengineering and Bioscience (IBB) at Georgia Tech has launched the Spatial Omics and Data Analytics (SODA) Center, a new interdisciplinary research hub advancing the next frontier of biomedical discovery. 

Christopher Zuo never thought of himself as someone mosquitoes singled out. They bit him from time to time, he said, but no more than anyone else who spent a lot of time outdoors. 

That is clearest on the surface, where Shah studied how public statements by businesses and financial institutions shape market behavior. At a deeper level, though, his success was buoyed by support from professors and his mentorship of younger students.

Shah’s ability to connect and invest in others led him to partner with Georgia Tech colleagues and start a financial technology business. He returns to campus this week to officially graduate from Tech, giving us a chance to catch up about his grad school experience and life as an entrepreneur.

Graduate: Agam Shah

Research Interests: Quantitative and computational finance, artificial intelligence, natural language processing, large language models (LLMs)

Education: Ph.D. in Machine Learning, home unit in the School of Computational Science and Engineering (CSE)

Faculty Advisors: Scheller College of Business Professor Sudheer Chava and School of CSE Associate Professor Chao Zhang

What persuaded you to attend graduate school at Georgia Tech?

Georgia Tech’s dedicated College of Computing strongly appealed to me. I was particularly drawn to the interdisciplinary nature of its machine learning Ph.D. program and the School of Computational Science and Engineering, both of which align well with my research interests. 

What research project(s) from Georgia Tech are you most proud of and why?

I am proud of all 20-plus research papers I have had the opportunity to contribute to at Georgia Tech. However, if I had to choose one, it would be my work on Federal Open Market Committee (FOMC) text analysis, which was also highlighted in the news. 

This work is not only well-cited in academic literature, but the language model developed in the paper is also actively used by economists at many of the world’s top central banks, including researchers at the FOMC and the Bank of England. It is also used by leading financial institutions such as BlackRock and Daiwa Securities. Since its release, the model has achieved over 100,000 downloads on Hugging Face. 

What can you tell us more about your startup, ZettaQuant?

 ZettaQuant aims to solve one of the biggest challenges in using LLMs and agents: working effectively with massive underlying datasets. We serve as a layer between raw data and LLMs, helping distill billions of tokens into the relevant context that models can use. 

As a deep-tech startup, we are actively engaging with industry practitioners to better understand how to design and engineer our system to integrate seamlessly with their evolving AI workflows. Given the complexity of the problem we are tackling, particularly in advancing document intelligence systems, we are currently very focused on research and foundational development. 

How did your Georgia Tech education prepare you for starting ZettaQuant?

Not just my education, but my entire experience at Georgia Tech, extending beyond the classroom, prepared me for this journey. I met my co-founders at Georgia Tech, and many of the initial use cases we are exploring at ZettaQuant are built on open-source research I conducted there. 

In addition to research, I mentored more than 300 students through the Vertically Integrated Project “NLP for Financial Markets.” This experience taught me how to manage teams and think about building systems with a long-term vision. 

What advice would you give someone interested in graduate school?

 Most people pursue graduate school after already completing more than 15 years of education. Also, people who are admitted to a top school like Georgia Tech are often already well-positioned to secure strong job opportunities. So, graduate school should provide value beyond what you could learn outside the classroom. 

Before deciding, think carefully about what you hope to gain from graduate school that you cannot otherwise. Once you enroll, take full advantage of the faculty, research labs, networks, and seminars. Many students underutilize these opportunities during their undergraduate and graduate years. 

I would also like to quote the epilogue of my Ph.D. thesis: ‘Advice is abundant; conviction must be your own.’ Build a strong conviction about what you want to achieve from graduate school before committing to it. 

What did you do for fun and relaxation while attending Georgia Tech? Do you still keep up with these now?

 This may sound unconventional, but I spent a significant amount of time mentoring and teaching throughout my Ph.D. Many of my mentees went on to gain admission to top graduate programs. This included two students I mentored for all four years of their undergraduate studies who later joined the ML Ph.D. program at Georgia Tech. They are now teaching and mentoring students, completing a full-circle journey. 

Working with mentees and supporting their growth gives me a strong sense of fulfillment and serves as a form of relaxation. In addition, I enjoy listening to music, especially while coding, and I continue to do that today. 

What is your favorite Georgia Tech memory?

 If I had to choose one favorite memory, beyond the many exciting late nights in the lab, it would be proposing to my wife on Tech Green at Georgia Tech. She is also a Yellow Jacket, having completed her undergraduate degree here and currently pursuing her Ph.D. Our home truly is a hive of Yellow Jackets. 

Jack Hayley’s path through Georgia Tech’s computational media program centers on exploring how sound and software work together across film, games, and interactive media. 

That plan lasted about three years.

“I initially thought I’d just continue in research without a Ph.D.,” Bhaskar said. “My advisor encouraged me to stay, but I wanted to experience industry first.”

In addition to perspective, working outside academia offered Bhaskar clarity. Over time, he found himself drawn back to the kind of deeper, more impactful research he had glimpsed during his graduate studies. Watching colleagues with doctoral degrees tackle complex problems reinforced his decision.

“I realized I missed research,” he said. “And seeing the kind of work Ph.D. graduates were doing motivated me to apply.”

That decision led him to Georgia Tech, where the strength of its cybersecurity and network security research stood out. The program’s interdisciplinary approach was a major draw.

“Some schools are strong in one area,” he said. “Here, there’s collaboration across domains. That was important to me.”

When Bhaskar arrived, the School of Cybersecurity and Privacy had not yet fully taken shape. Research groups, including the Institute for Information Security and Privacy, were already active, but the school's formal structure emerged during his second year.

Working with his advisor, Paul Pearce, Bhaskar shifted his research focus from binary and static analysis to network security, a transition that required both adjustment and curiosity.

“I wanted to move into something with more direct real-world impact,” he said.

This led him to work on censorship measurement, internet security and privacy, areas where technical findings can have global implications. With guidance from Pearce and support from other faculty working in similar areas, he quickly found his footing.

His favorite research project however, was in fact his first. 

In earlier research, unexplained anomalies had appeared in measurement data. At first, the assumption was that they stemmed from geolocation issues. However, after digging deeper, Bhaskar uncovered a different cause: routing changes.

“That discovery showed that routing can significantly affect measurement results,” he said.

What began as a narrow investigation turned into a broader insight. One that reshaped how those measurements could be interpreted.

Along the way, other milestones followed, including his first paper accepted to a top conference.

“That was a big moment,” Bhaskar said.

But beyond publications and research breakthroughs, it’s the day-to-day experience of doctoral life that made the strongest impression.

“The camaraderie stands out the most,” he said. “Especially during deadlines. Everyone is working hard, but you still take time to step away, talk, and support each other.”

That sense of community extended beyond his own lab. Interactions with neighboring groups and researchers in fields like cryptography broadened his perspective and shaped his approach to problems.

“The way different groups think about problems is really valuable,” he said.

Outside the lab, Atlanta played its own role in the experience. From sporting events to concerts, the city offered a balance to the intensity of research.

“There’s a lot to do,” Bhaskar said. “I tried to take advantage of that.”

Now, as he prepares to graduate, the next chapter is already in motion. Bhaskar will move to the West Coast for a post-doctorate security research role at Stanford University, following a summer internship that offers time to reset before the transition.

“Abhi's work is excellent,” said Pearce. “During the course of his Ph.D. he discovered important underlying phenomena that influence how we measure and understand internet censorship and end-to-end network behaviors broadly.” 

“He's an outstanding researcher and community leader, and while his contribution as a student to my group and SCP will be missed, we're excited about what he accomplished and his next steps!”

Mizan Rahman knows there’s much that academia and industry can learn from each other.

He’s living proof of it.

The 52-year-old entrepreneur will receive his Ph.D. in human-centered computing (HCC) as he walks across the stage on Thursday at Georgia Tech’s Spring 2026 Ph.D. Commencement.

When Rahman was accepted into the HCC Ph.D. program, he’d already founded three successful tech startups and was an angel investor in numerous others. He also earned a master’s in computational science and engineering from Georgia Tech in 2013.

Rahman took on the challenge of a Ph.D. because he’s always been in pursuit of a holistic view of technology. One perspective he said he needed to understand was that of the end user.

“I’d already done computer science and computational science and engineering, so I wanted to look at the human dimension, the user’s perspectives, and society,” Rahman said. “You’ve got to build technology that fits into our human dynamics.”

Rahman’s journey began as an undergraduate in chemical engineering at Miami Dade College and Florida Atlantic University. He switched to computer science after his roommate, also a CS major, showed him some programming he had been working on.

“I couldn’t sleep after that,” Rahman said. “I was writing software all night. I loved solving problems through technology.”

Early Success

Rahman invented BayBuilder, a strategic sourcing automation technology, in 1999. The software was adopted by major Fortune 500 companies. Rahman estimates it has saved these companies $1 billion in procurement spending.

Baybuilder was acquired by a NASDAQ-listed firm in 2001, and he was ready to start his next company.

“I’ve been an entrepreneur as far back as I can remember,” Rahman said. “I was born with it. If I saw something that didn’t exist, I created it.”

After relocating to Atlanta, Rahman founded a new company, M2SYS Technology. Governments around the world used the company’s innovative identity technology to automate processes and deliver efficient services to citizens. M2SYS also worked with the CDC to treat HIV in Haiti and Zambia, as well as many U.S. hospitals, including Grady Memorial in Atlanta, to protect patients from fraud and receiving the wrong treatment.

Rahman’s most recent startup, CloudApper AI, introduced a new system architecture that generates secure software requiring minimal ongoing maintenance. His non-biased algorithm, which he created during his Ph.D. for CloudApper, is now used by major companies to streamline automated resume analysis and candidate scoring.

Living in Two Worlds

Rahman began his Ph.D. in 2021, but he kept his new venture to himself and his family. He didn’t tell his employees he was pursuing a Ph.D., and he didn’t disclose his industry background to his fellow doctoral students.

“I kept the other side of me far away,” he said. “The people who knew, they knew, but I purposefully didn’t discuss my outside activities and experience. I wanted to fit in, and I think I was able to do that.”

When Rahman was at his company, he was a CEO and entrepreneur, and when he was at Georgia Tech, he was a researcher. But what he was learning as a researcher began to change how he perceived his business. 

“I wanted to be a researcher and think like a researcher and not just always think about sales and marketing,” he said. “I started bringing in more ideas about how the user should be thought of in our products. I’m sure they were wondering why I was emphasizing that so much, but it was because I was applying what I was learning in my Ph.D. 

“Now I’ve been on both sides, I want to be connected to both in the future, applying research principles and practices in product development and innovation.”

Building Community Through Makerspaces

When it came time for Rahman to choose a subject for his dissertation, he returned to his roots and looked for ways technology can support young entrepreneurs and their startups. That’s when he began conducting research in makerspaces.

“I wanted to find out how we can bring innovation to a scale where anybody can participate,” he said. “I saw this happening in makerspaces where regular people learn, collaborate, and build products and companies from scratch. I saw that the community at large is facing a sustainability crisis.”

Rahman argued in his dissertation that makerspaces can play a significant role in local innovation. When people struggle to survive, it disrupts communities in numerous ways.

Rahman details four studies conducted over three-and-a-half years that show how socio-technical factors drive organizational sustainability in makerspaces and how AI tools can foster an innovative culture within them.

“The compelling thing about his research is that he shows that people come to makerspaces for the tools, but they stay for the people,” said Rosa Arriaga, associate professor and Rahman’s advisor.

“He has plenty of work from his ethnographic research that shows that a makerspace can have all the tech and resources, but if there isn’t cohesion among the people, there’s a problem.”

It Takes a Village

Rahman is the first to admit that it’s not possible for one man to run a company while pursuing a Ph.D. He needed a community. This starts with his family. His wife, Mohu Sultana, now serves as interim CEO of M2SYS and has supported Rahman throughout his Ph.D. research.

The Georgia Tech community has been part of Rahman’s life in some way since he started his career. 

Sultana holds a bachelor’s degree in computer science from Tech, and their daughter, Malisha Rahman, is graduating this week with a bachelor’s in economics and international affairs. Malisha Rahman has also been accepted into the HCC program and will begin her Ph.D. in the fall. 

Rahman said that any student who wants to create a tech startup will have an advantage from access to Georgia Tech’s network.

“The Georgia Tech startup community is fantastic,” he said. “There is a tremendous amount of knowledge here, and the research community can help shape the next big thing. We have CREATE-X, a place where you can find mentorship from faculty who started in industry. You’ll learn things I wish I knew before I started.”

As an energy economist and an international trade economist, we field a lot of questions during such episodes, because when oil prices go up, manufacturers, businesses and ultimately consumers pay more.

Some basic economics

Crude oil may be the most important commodity in the global economic system.

It’s a literal fuel for the industrial economy. It powers the engines that drive transportation and paves the roads vehicles drive on. It’s a source for plastics from which the world’s products get made and packaged, and a key ingredient at some point in almost every supply chain. Even fertilizers that boost the food supply are made from it. In short, it is difficult to imagine modern life without oil and its derivatives.

And when its supply changes, its price changes. Economists explain this using a fundamental model of our field: the supply-demand diagram. When there’s less of something to go around, competition among consumers who want it and companies that need it can drive the price up.

Sometimes this process can play out over time, allowing people to adjust their purchasing or activities to dampen price shocks. But when a significant source of the world’s oil is effectively blocked without much advance notice, such as when the the U.S. and Israeli attacks on Iran closed the Strait of Hormuz, prices can rise sharply in a short period of time.

A natural question many people ask when oil prices spike is: Where does all that additional money go, and who benefits from it?

Some people have written entire books dissecting all the places that money goes when it leaves consumers’ pockets. But ultimately, the bulk of the money heads in the direction of the source of the oil itself – the oil companies.

What they do with the money varies widely, depending on where in the world an oil company is operating and who owns it. What also matters is the business environment – the set of laws and regulations – in which the company operates.

Middle East faces danger

Oil producers in the Middle East face significant new risk because of the war in Iran, including threats to production, processing locations and shipping routes. These risks raise their costs for insurance, security and transportation.

But production costs in the region are relatively low, so higher global oil prices typically still translate into strong profits.

For a major exporter such as Saudi Arabia, the government owns and controls nearly all oil production, so high prices generally benefit the government’s finances and investments, even during a war. In Saudi Arabia, oil revenue has historically been used to fund public spending.

West Texas gets a windfall

The Permian Basin, the largest oil field in the U.S., is a long way from the Persian Gulf. When global oil prices rise because of the war in Iran, oil companies operating in West Texas effectively get a windfall gain: Prices rise more quickly than costs, at least in the short run.

The immediate effect is more income from higher prices. The money largely goes to company owners – meaning shareholders – through dividends, debt reduction, company-backed purchases of its own stock, and reinvestment in drilling and production. Over time, companies may decide to spend some of that windfall on building more production capacity or pipelines to get more oil and gas to market.

North Sea boosts government revenue

In the North Sea, between the island of Great Britain and Scandinavia, a mix of multinational and government-owned companies produce most of the oil.

In the U.K., private shareholders are the primary beneficiaries of higher profits from increased oil prices, though an additional tax on oil and gas companies’ profits means the government also collects a significant share of the money, which it uses to help pay public expenses.

In Norway, oil revenues flow into the Government Pension Fund Global, the world’s largest sovereign wealth fund, valued at over $2 trillion. Laws govern how much, and for what purposes, money can be withdrawn from the fund, supporting public spending and preserving wealth for future generations. This is a similar model to Alaska’s state-owned program, funded by oil revenue, that pays for government services and sends an annual dividend to every permanent resident.

Russian oligarchs get rich

Russian oil is subject to stringent economic sanctions imposed by major industrial countries as a response to the Russian invasion and occupation of parts of Ukraine. While the U.S. cannot control how much Russia charges for its oil, it can control services needed to move Russian oil around the world. Under current price sanctions, Western shipping, insurance and financing can be used to ship and sell Russian crude oil only if the price is below $60 per barrel.

Russia’s oil industry is dominated by government-controlled companies whose leaders maintain close ties to President Vladimir Putin. The dealings of those shadowy figures are often shrouded in secrecy, but it is likely that they and Putin’s military-industrial complex – not the Russian people – are the main beneficiaries of high oil prices.

What this means for you

Everyday U.S. consumers may not like the idea of their hard-earned cash going into the already deep pockets of any of these groups. But in the short run, there’s not much to do but pay the price. For the long run, however, people around the world are already thinking and talking about, and opting for, sources of energy that don’t depend on fossil fuels.

This article is republished from The Conversation under a Creative Commons license. Read the original article.

“I’m honored to receive the 2026 Odum Award,” says Weigel, who is a senior academic professional in the School of Biological Sciences. “Georgia Tech is widely recognized for its research excellence, but teaching is mission-critical to the ways we serve the public good. This award reflects the incredible work happening in our classes and communities that drives science, and science education, forward.”

Weigel is among 10 individuals selected nationwide for annual ESA awards. “This year’s award recipients have each contributed something important to ecology, often in very different ways,” says ESA President Peter Groffman. “These are ecologists whose efforts have shaped the field, supported colleagues and created opportunities for others. I’m glad to see that kind of work acknowledged.”

About Emily Weigel

Weigel’s work focuses on improving biology education by examining how student backgrounds, values, and instructional practices shape learning outcomes. Her impact spans K–12 students, undergraduates, graduates, and members of the Atlanta community.

Known for her teaching innovations, she has pioneered new courses in biology, ecology, and statistics, and is also a leader in the Vertically Integrated Projects program at Georgia Tech.

From studying the dynamics of flu, to using drone aerial footage to monitor Georgia Tech’s changing landscape, to a long-term project monitoring the trees of the Campus Arboretum, Weigel shares that “students thrive when they develop skills through real-world experiences."

Weigel has also creatively infused the traditional “nature” topics and fieldwork found in ecology curricula with modern technology and programming skills used in research. “Effectively introducing professional skills, like programming in the language R, is innovative nationally,” she says. By making R, an open-source programming language, more accessible, “we’re preparing undergraduates for success in graduate school and their careers, and empowering them to learn other programming languages in the future.” 

In addition to teaching, Weigel plays a central role in mentoring and supporting students across the Institute. She serves as the undergraduate academic advisor for around one-sixth of Georgia Tech’s Biology majors, mentors graduate and undergraduate teaching assistants, and is an instructor for the “Tech to Teaching” capstone course in the Center for Teaching and Learning.

Eight faculty members received funding for projects that advance Georgia Tech energy research by generating early insights, expanding shared research tools, and exploring solutions related to energy policy, grid reliability, clean energy incentives, and industry‑driven innovation shaping Georgia’s energy future.

By supporting timely, policy-relevant research and engagement that connect Georgia Tech expertise with pressing regional energy challenges, the ACCELERATE program encourages collaboration across the Institute and with external partners, supports graduate student involvement, and amplifies research outputs that inform policy, regulatory, and market decisions. 

“ACCELERATE is designed to help early- and mid-career faculty move quickly on ideas that can shape energy policy and practice,” said Laura Taylor, director of EPIcenter. “By supporting both early‑stage collaboration and more developed policy research, the program enables Georgia Tech researchers to engage decision‑makers and stakeholders when it matters most.”

Proposals considered for funding were grounded in policy and behavioral research, including studies that examined how past or potential policies and regulations worked, and analyses of current market and behavioral outcomes that revealed management, policy, or regulatory gaps and opportunities.  

Funded projects span a range of disciplines and policy‑focused topics aligned with EPIcenter’s mission, with a strong emphasis on challenges facing Georgia and the Southeast. Collectively, the awards support research development, data creation, stakeholder engagement, and public-facing thought leadership intended to inform energy policy and implementation.

"As electricity demand grows, it is increasingly important to understand how industrial processes could use energy flexibly to enable efficient use of renewable resources like solar and wind,” said Micah Ziegler, assistant professor in the School of Chemical and Biomolecular Engineering and the Jimmy and Rosalynn Carter School of Public Policy. “Support from the EPIcenter ACCELERATE program enables us to ask fundamental questions about how to design flexible systems and supply chains."

Awards ranged from $5,000 to $75,000. Projects that received ACCELERATE funding include:

Measuring the Alignment Between Legislators’ Energy Bill Votes and Their District Characteristics in the Georgia House of Representatives
Faculty Researcher: Clio Andris, Associate Professor, School of City and Regional Planning and School of Interactive Computing

Strengthening Georgia Tech’s National Energy Modeling of Priority Research Areas
Faculty Researcher: Marilyn Brown, Regents' Professor and Brook Byers Professor of Sustainable Systems, Jimmy and Rosalynn Carter School of Public Policy

Protecting Consumers From Price Volatility: Evidence and Policy Lessons From Georgia's Natural Gas Market
Faculty Researcher: Dylan Brewer, Assistant Professor, School of Economics

Can Place-Based Incentives Accelerate the Energy Transition?
Faculty Researcher: Gaurav Doshi, Assistant Professor, School of Economics

The Revolving Door in Utility Regulation
Faculty Researcher: Michelle Graff, Assistant Professor, Jimmy and Rosalynn Carter School of Public Policy 

How Do Data Centers Affect Tradeoffs Between Reliability and Decarbonization?
Faculty Researchers: Tony Harding, Assistant Professor, Jimmy and Rosalynn Carter School of Public Policy, and Brian An, Assistant Professor, Jimmy and Rosalynn Carter School of Public Policy

Calculating the Emissions Cost of the Solar Rebound for the United States
Faculty Researcher: Matt Oliver, Associate Professor, School of Economics

Evaluating Long-Duration Flexibility of Industrial Demand in Electric Power Systems
Faculty Researchers: Micah Ziegler, assistant professor, School of Chemical and Biomolecular Engineering and the Jimmy and Rosalynn Carter School of Public Policy, and Constance Crozier, Assistant Professor, H. Milton Stewart School of Industrial and Systems Engineering

ACCELERATE is an annual program open to all Georgia Tech faculty, focusing on policy‑ and decision‑relevant research that advances energy affordability, reliability, resilience, and decarbonization in the region.

More information about EPIcenter’s research areas and programs is available at epicenter.energy.gatech.edu.

In 2018, the company broke ground in Social Circle, a small town an hour east of Atlanta with about 5,000 residents, to build one of its largest U.S. data centers. It opened in 2020.

Local officials called it a win. Shane Short, president and CEO of the Development Authority of Walton County, said the plant generates about $10 million annually in property tax revenue and has led to road improvements and expanded broadband.

Electric vehicle maker Rivian followed Meta’s lead and began construction on a plant near Social Circle in September 2025, adding to the area’s rapid industrial growth.

But for residents, the shift from a largely rural, agricultural economy to an energy-intensive industrial one has put new pressure on power and water systems.

“They’re seeing higher water and power bills, worse air quality, and very few jobs in return for this, while large corporations get tax benefits,” said Ahmed Saeed, an assistant professor in Georgia Tech’s School of Computer Science, describing why residents in some communities push back on new data center development.

Saeed and Josiah Hester, associate professor of interactive computing and computer science and director of the Center for Advancing Responsible AI, have spent the past year studying the energy, water, and financial demands associated with these facilities, and how those costs are distributed.

Betting on Demand

AI data centers run on specialized chips that use large amounts of electricity. That power generates heat, which requires energy- and water-intensive cooling.

The state is adding capacity based on expected demand, not current use.

Last year, the Georgia Public Service Commission approved an estimated $16 billion expansion for Georgia Power to support that growth. It is expected to produce about 10 gigawatts of electricity at a given time. That’s enough energy to power about 7.5 million homes for a year.

If that demand materializes, the electricity is used. If it doesn’t, the cost still has to be paid.

Grid Stability

“Those workloads can put a very large demand on the grid all at once, and then remove it just as quickly,” Saeed said. “That sudden change is difficult for the system to handle.”

That volatility is a separate issue.

Even if data center operators pay for the infrastructure they use, large swings in demand can still strain grid operations, especially during peak periods or extreme weather.

What Comes Next

Back in Walton County, the Meta facility is already attracting additional data centers.

Each new site adds power and water infrastructure designed to operate for decades.

The servers inside need to be upgraded every few years.

Saeed and Hester said if Georgia wants to remain an AI and cloud hub, the state needs to set the terms and companies need to meet them.

That starts with disclosure — how much power data centers draw from the grid, how that demand spikes, and how much water they use. It includes clear expectations for how those facilities respond when the grid is under stress, and protections for the communities where they’re built.

The researchers maintain that “build it and hope” is not a strategy.

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

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

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

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

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