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.   

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.

“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

The research also reveals that most websites that require age verification don’t enforce the policy.

The findings come from a new paper that researchers from the Georgia Institute of Technology and the University of California, Irvine (UC Irvine) will present at this week’s IEEE Symposium on Security and Privacy conference in San Francisco.

The research team examined Yoti, a London-based company that provides age-verification services for an estimated 60% of websites that require it. Its client list includes Meta, OnlyFans, Sony PlayStation, and TikTok.

The research team determined that the process Yoti uses to verify a person’s age broadcasts the person’s personal information to third- and fourth-party companies.

When a bartender checks an ID, they quickly verify a customer’s date of birth and identity before serving them. Companies like Yoti that employ digital age verification claim their products function the same way, but in a completely private manner. 

That analogy has justified laws passed in 25 U.S. states — comprising more than 40% of Americans — mandating the use of digital age verification to gate access to social media and adult online content.

However, by measuring online age verification, researchers reveal that the reality of these systems is far from ideal. The study found that most sites covered by these laws do not appear to enforce age verification. 

When sites comply, they force users to use third-party age-verification services like Yoti, which collect and share highly sensitive data with other third parties.

“There have been laws passed and court cases settled on the promise that these companies are incentivized to keep users’ data private” said Assistant Professor Michael A. Specter at the School of Cybersecurity and Privacy. “We found that reality is starkly different.”

Digital age verification laws are being considered by other legislative bodies to bar minors from social media sites. The problem, Specter and his colleagues argue, is that current methods of age verification are ineffective and create new privacy risks.

“In legal arguments, there have been comparisons to these services acting like a bartender checking IDs,” said Specter. “However, what is really happening is the bartender is making photocopies of the patron’s license and sending it to their food vendors.”

According to the researchers, the data is then sent to credit card companies, IP geolocation services, and data brokers. The researchers found that the information being shared can be used to identify and track devices. For example, a single verification attempt may transmit a user’s facial image, IP address, and device fingerprint to credit card companies.

Aside from privacy concerns, researchers note that differing state policies could lead to what they call the Balkanization of the U.S. web. In other words, users may have access to different parts of the internet depending on the state they are in. This will potentially limit the free exchange of ideas and information.

According to Assistant Professor Harry Oppenheimer of the Jimmy and Rosalynn Carter School of Public Policy, users are already accustomed to experiencing the internet differently across countries. However, this may signal the beginning of similar fragmentation within the United States.

“We are going to start seeing comparable differences between U.S. states,” said Oppenheimer. “Users in some states will now have to go through additional steps to access information. Close your laptop in New York before a flight to Dallas and try to load the same web page—now you see two different results.”

“We also observed age verification deployed on websites accessed from New York, which has no law requiring verification,” said Associate Professor Paul Pearce of UC Irvine’s Department of Computer Science.

“We don’t know why these sites are deploying such verification—it could be a move to limit liability or simplify operations. Regardless, it points to an emerging threat for the open Internet where restrictive laws from some states could impact the entire country and beyond.”

“This is why we can’t have nice things,” Specter added.

The study, Papers Please: A First Look at Age Verification on the Web, was led by Georgia Tech Ph.D. student Shreyas Minocha, undergraduate Isaac Sheridan, and Oppenheimer, Pearce, and Specter. It is part of the proceedings of the 47th IEEE Symposium on Security and Privacy and will be presented in San Francisco on May 20. 

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.

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.

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.

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.

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.

“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.

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.

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.

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

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

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

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.”

Associate Professor Alan Ritter and Ph.D. student Ethan Mendes were awarded fellowships for their work on creating artificial intelligence (AI) agents that function as teammates.

Mendes was named a fellow, while Ritter will serve as his fellowship advisor.

The Microsoft Research Fellowship is open to faculty, students, and postdocs. Ritter said that if Microsoft sees alignment in a project, it gives recipients the opportunity to work even closer with their collaborators by inviting them to join as additional fellows.

That turned out to be the case with Mendes after Ritter listed him as a collaborator in his fellowship proposal.

“I’m delighted to serve as Ethan Mendes’ fellowship advisor,” Ritter said. “He is an exceptionally strong researcher, and I’m excited to see his work recognized through the Microsoft Research Fellowship.”

Through the fellowship, Ritter and Mendes will design AI systems that better support collaboration and decision-making within organizations. 

“The goal is to move beyond AI as a tool for a single user and instead study how AI can help groups make more informed, transparent, and coordinated decisions,” Ritter said. “We will focus on methods that bring together information from many different sources, help people reason under uncertainty, and generate analyses that support collective problem-solving in complex work settings.”

Professor Named to Sustainability Cohort

The Purple Mai’a Foundation has selected Associate Professor Josiah Hester to join its Eahou Global Immersion Cohort.

The Purple Mai’a Foundation is a technology education nonprofit headquartered in Aiea, Hawaii, that teaches coding and computer science to Native Hawaiian students.

The 29 members of the Eahou Global Immersion Cohort from 15 countries are leaders from indigenous communities recognized for their contributions to sustainability.

Hester is a Native Hawaiian whose research centers on sustainable and battery-free technology.

The cohort will gather on O’ahu May 1-3 for Eahou Fest, where they will share stories and solutions from research around the world.

“I’m honored to be selected for the Eahou Global Immersion Cohort and to learn alongside such an inspiring group of resilience leaders who come from around the globe,” Hester said. 

“Participants are selected for their significant leadership over the past decade and their ability to bring what they learn back to their communities and integrate it into ongoing work and partnerships. I’m excited to connect these experiences with my work and bring these lessons back into research and teaching at Georgia Tech.”

Jill Watson Creator Receives AAAI Lecture Award

Professor Ashok Goel received one of the most distinguished awards from the Association for the Advancement of Artificial Intelligence (AAAI).

Goel was selected as the 20th recipient of the AAAI Robert S. Engel Memorial Lecture Award. Established in 2003, the award is given to those who have demonstrated excellence in AI scholarship, outstanding applications of AI, and extraordinary service to AAAI and the AI community.

Goel received the award in January during the AAAI Conference on Artificial Intelligence in Singapore. According to the awards program, Goel was recognized for contributions to biologically inspired design, case-based reasoning, and application of AI in virtual teaching.

Goel is the inventor of Jill Watson, one of the first AI virtual teaching assistants used in higher education classrooms.

AAAI is also the publisher of AI Magazine, which Goel served as editor-in-chief from 2016 to 2021.

“I am both honored and humbled to receive AAAI's Robert Engelmore Award,” Goel said. “Bob was a long-time editor of AAAI's AI Magazine, and many years after he retired, I became the editor of the magazine. This makes the Engelmore Award special to me.”

At Georgia Tech, undergraduate students are an integral part of the research enterprise – particularly when it comes to neuroscience. That dedication to undergraduate research was on full display on April 8, when more than 100 students from Atlanta-area universities gathered for the annual ATL Neuro Networking and Symposium Night. 

Building upon a multifaceted relationship, the two are bringing hydrogen fuel cell vehicles and fueling infrastructure to campus — turning Georgia Tech into one of the nation’s most prominent campus-based examples for hydrogen mobility.

“Hyundai Motor Group is proud to strengthen our collaboration with Georgia Tech as we work together to accelerate the future of clean mobility. Georgia Tech’s leadership in innovation and its commitment to developing the next generation of problem-solvers make it a natural partner in advancing technologies,” said Ken Ramírez, executive vice president and head of Global Energy and Hydrogen Business at Hyundai Motor Group. “By combining the university’s excellent research with Hyundai’s global experience, we are creating the foundation for real-world solutions that will help drive the energy transition and inspire future mobility leaders.” 

Ramírez is also a 1991 Georgia Tech graduate and a member of the Georgia Tech Advisory Board. 

“It’s very fulfilling to donate a handful of our NEXO fuel cell SUVs as part of our expanding relationship with Georgia Tech. Hydrogen-powered NEXO fuel cell vehicles will immediately serve to expand the clean mobility footprint on campus while providing real-world experiences with the cutting edge of zero-emissions transportation technology,” said Randy Parker, president and CEO, Hyundai Motor North America.

“Georgia Tech has a long history of working with industry to move breakthrough technologies from the lab into the real world. By expanding our work with Hyundai, we’re advancing hydrogen research, reducing emissions on our campus, and strengthening Georgia’s role in the future of clean mobility," Georgia Tech President Ángel Cabrera said.

How the Partnership Drives Hydrogen Innovation and Research

The partnership includes the donation of four Hyundai NEXO fuel cell electric SUVs by Hyundai Motor North America and a hydrogen electrolyzer project, which will be installed at Georgia Tech’s North Avenue Research Area, positioning Tech as one of the most visible real-world test beds for hydrogen mobility in the U.S.

The vehicles and infrastructure will support campus operations and interdisciplinary research. Key areas of focus include:

• Engineering: Exploring hydrogen-based systems and mobility solutions.
• Sustainability: Assessing the environmental benefits of hydrogen technologies.
• Energy systems: Understanding the integration of hydrogen fuel cells into current infrastructure.
• Public policy: Evaluating the regulatory and social implications of hydrogen adoption.

This initiative connects Georgia Tech’s research enterprise with campus operations, using the Institute as a living laboratory for clean transportation technologies. Faculty and students will study:

• Real-world performance of hydrogen technology.
• Infrastructure requirements for large-scale deployment.
• Environmental impacts of hydrogen energy systems.

Insights gathered from this initiative aim to inform and accelerate the widespread use of hydrogen technology in campuses, fleets, cities, and freight corridors. The initiative also supports Georgia Tech’s strategic plan, which includes the goal of expanding the use of zero-emissions vehicles powered by sustainable energy sources.

Why Is the Partnership with Georgia Tech Key to Hyundai Motor Group’s Vision? 

The collaboration between Hyundai and Georgia Tech is a testament to the power of aligning academic expertise with corporate innovation. Beyond hydrogen energy, the partnership seeks to advance innovation in the areas of:

• Autonomous driving
• Electric vehicle (EV) batteries
• Charging infrastructure
• Materials science
• Cybersecurity

In addition, Hyundai’s presence in Georgia underscores its commitment to the region. Georgia is home to the Hyundai Motor Group Metaplant America and also serves as a hub for zero-emissions transportation through HTWO Logistics, a clean logistics partnership that operates Hyundai XCIENT fuel cell heavy-duty trucks in logistics operations near Savannah. The collaboration with Georgia Tech builds on this regional foundation, reinforcing the link between education, research, and Hyundai's long-term goal of achieving carbon neutrality by 2045.

What’s Next for the Partnership?

The partnership between Hyundai and Georgia Tech represents more than an investment in research. It’s a shared effort to lead the next generation of mobility advancements. Additional announcements about the partnership’s research projects, educational programs, and vehicle deployment are expected in the coming months.

Backed by a four-year, $2.2 million National Institutes of Health Research Project (R01) grant, the project aims to develop a microcatheter that combines high-resolution imaging with precise pressure sensing in a single device.

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

“I am pleased to be able to recognize all of this hard work,” said Dean Vivek Sarkar during the ceremony.

One student, two staff members, and four faculty members were nominated by their SCP peers and received awards for their achievements over the past year. 

Student Solves Real World Problems

Yibin Yang (Ph.D. CS 2025) was awarded a 2025 Dissertation Award for his thesis on zero-knowledge proofs in real-world problems. SCP Professor and Senior Associate Chair Vlad Kolesnikov advised Yang and acknowledged that Yang’s work advances the field of cryptography. 

Yang contributed to the advancement of zero-knowledge proofs and multi-party computations, while also building toolchains that are faster and more usable than existing systems. His work earned a distinguished paper award at the 2023 ACM CCS, and he also served as an RSAC Security Scholar.

Staff Lead the Way

In the staff category, Mary Helen Hayes was awarded the Outstanding Staff Leadership Award, and Gina Anderson received the Ruthie Book Outstanding Staff Team Member Award.

The Outstanding Staff Leadership Award is given to a full-time administrative staff member in recognition of an outstanding record of leadership that has resulted in a significant positive impact on the College of Computing, the Institute, or the computing community. Hayes was nominated by four faculty and staff members for this award for her steady presence in SCP since she began her role as director of research operations in 2024. 

The Ruthie Book Outstanding Staff Team Member Award is presented to a staff member in recognition of their outstanding performance in honor of Ruthie Book, who exemplified excellence in her work. Anderson was nominated by SCP faculty and staff for her outstanding leadership and mentorship as assistant director of business operations.

Both received praise for their hard work from the college as well as from their supervisor, Senior Academic Officer Jan Morian. 

“I am so incredibly proud of our staff in the School of Cybersecurity and Privacy who won awards this year at the College of Computing Annual Awards ceremony,” she said.

“Mary Helen Hayes and Regina Anderson are truly outstanding staff members who exemplify Georgia Tech’s values. Their leadership has contributed substantially to the success of the school.”

Cybersecurity Faculty Net Four Awards

The College of Computing also recognized four SCP faculty members for excellence in teaching and research during the college’s annual award ceremony. 

Assistant Professor Teodora Baluta received the Junior Faculty Teaching Award for developing a new graduate-level course that brought together generative artificial intelligence (AI) security, adversarial machine learning, cryptography, and differential privacy. Her nominator, SCP Associate Professor Vassilis Zikas, said the course bridged a critical gap in a rapidly evolving area of computing. 

For his role in leading Team Atlanta to victory in the DARPA AI Cyber Challenge, Professor Taesoo Kim received the Outstanding Senior Faculty Research Award. His nominator, Regents Professor Wenke Lee, praised the team’s performance, which not only won the competition but also beat the combined score of all other competitors. The AI developed by Team Atlanta is now open sourced with the Open Source Security Foundation. 

Associate Professor Frank Li received the Junior Faculty Research Award for establishing world-class research BEES Lab at Georgia Tech. One of his nominators, Associate Professor Saman Zonouz, put Li’s name forward for his work empirically evaluating and improving internet security and privacy from an operational standpoint. 

Finally, Associate Professor Brendan Saltaformaggio received the Mid-Career Faculty Research Award. Zikas nominated him for establishing internationally recognized research in cybersecurity forensics, malware analysis, AI security, and software supply chain security. Saltaformaggio’s research highlights include the discovery of over $2 billion in stolen funds on the Ethereum blockchain. 

"We know SCP faculty conduct highly impactful research that is of the highest quality,” said SCP Interim Chair Mustaque Ahamad. “Our faculty receiving research awards at all levels recognizes this and shows how we are working to realize SCP’s vision of creating security for everyone and everything."

One the oldest existing biological societies in the world, the Linnean Society of London is renowned as the venue where, in July 1858, Charles Darwin and Alfred Russel Wallace first publicly announced the theory of evolution by natural selection — more than a year before Darwin published On the Origin of Species. The annual Bicentenary Medal is considered one of the most prestigious awards for researchers studying natural history.

“This honor is profoundly meaningful to me — both as an evolutionary biologist and a Londoner,” says Stroud. “To be recognized here, at the very heart of evolutionary biology’s history, is deeply personal, incredibly exciting, and very special.”

Stroud is one of 10 exemplary researchers to be recognized by the Linnean Society this year with a medal or award.

“We are thrilled to celebrate the 2026 Linnean Society medal and award recipients, whose work advances our vision of a world where nature is understood, valued and protected,” says Mark Watson, who serves as president of the Linnean Society. “At a time when the importance of biodiversity and conservation has never been clearer, their achievements show the power of curiosity, dedication and scientific endeavor.”

Understanding Lizards — and Life on Earth

At Georgia Tech, Stroud investigates the ecological and evolutionary processes of lizards in order to understand patterns of biological diversity at a larger scale. “Studying lizards in their natural habitats allows us to directly investigate how species adapt and evolve in real time,” he explains, “and this helps us understand how ecological and evolutionary processes shape life on Earth."

For over 10 years, he has run one of the longest-running evolutionary studies of its kind: catching, documenting, and releasing each of the 1,000 lizards who reside on “Lizard Island,” Stroud’s living lab in Florida.

In 2025, he was awarded a Packard Fellowship to further develop the project by equipping each lizard with a tiny sensor backpack to document their behaviors and movements in real time — with the goal of creating evolution’s first high-definition map.

In 2014, Stroud also founded a community science project called “Lizards on the Loose” to introduce middle school students to ecological science. A collaboration with Fairchild Tropical Botanic Garden, the program now reaches students from over 100 schools across South Florida.

It was the beginning of the Covid-19 pandemic.

The world needed a vaccine that didn’t exist, and there was no clear timeline for one. No one knew how long the vaccine development process would take — or whether it would work at all.

Then, less than a year later, Pfizer and BioNTech set a record for how fast a drug moved from clinical trials to federal authorization — and to people waiting as the virus surged worldwide.  That speed depended on more than scientific discovery. It hinged on trials, regulatory approval, and manufacturing at scale.

Experience Made the Difference

Startup BioNTech, a small biotech firm, had spent years developing mRNA technology. Pfizer, a huge pharmaceutical company, brought deep experience running large clinical trials, working with regulators, and manufacturing at scale. The two companies had worked together before, which meant they did not have to build trust, decision-making structures, or workflows in the middle of a crisis. Trials moved quickly. They knew what regulators required and how to meet those demands.

According to Georgia Tech research, that kind of business alignment is far from common — and can explain why many promising drugs never reach patients.

Manpreet Hora, senior associate dean for programs and professor of operations management in Georgia Tech’s Scheller College of Business, studies what happens after a drug leaves the lab. In a study published in Production and Operations Management, he and his coauthors analyzed nearly 300 biotech–pharma partnerships to understand why some drugs make it through and others stall.

“If you are a patient, this process is out of your control,” Hora said. “In some cases, it can cost lives.”

Where It Breaks Down

Drug development often depends on handoffs. Small biotech firms typically generate early discoveries. Larger pharmaceutical companies step in to run trials, work with regulators, and bring products to market.

But complications can arise when companies that lack similar experience levels try to develop the drug together.

Decision-making slows down. Roles become unclear. The process starts to erode.

"That's why partner choice matters," Hora said, comparing the process to a popular TV show. "It's like going on Shark Tank — just because someone is offering money doesn't mean they're the right partner."

Hora said the Pfizer–BioNTech partnership worked because both companies approached the work the same way, despite the difference in their size. Pfizer is one of the largest pharmaceutical companies in the world. BioNTech was a much smaller firm.

What Decides the Outcome

As of September 2025, 5 billion doses of the Pfizer–BioNTech Covid vaccine have been distributed globally.

Pfizer’s chairman and CEO, Albert Bourla, attributes the unprecedented success to a “world class collaboration” with BioNTech. He said, "I think it was because both companies had developed very similar cultures…We were both really very purpose-driven.”

Hora's research comes to the same conclusion: In an industry where drugs can take a decade to reach patients, the wrong partner can mean they never arrive at all. 

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

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

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

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

Coastal Case Studies

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

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

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

Regional Risks, Real Responses

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

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

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

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

Career Context

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

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

Students enjoyed the opportunity to get real-world context:

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

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

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

The paper, The Borderlands of Foldability: Lessons from Simplified Proteins, is a meta-analysis of six decades of protein research and reveals that ancient proteins may have been far more complicated and dynamic than previously thought. 

Recently published in the journal Trends in Chemistry, the study includes Georgia Tech researchers Lynn Kamerlin, professor in the School of Chemistry and Biochemistry and Georgia Research Alliance Vasser-Woolley Chair in Molecular Design, and Quantitative Biosciences Ph.D. candidate Alfie-Louise Brownless.

Co-authors also include Institute of Science Tokyo graduate student Koh Seya and Liam M. Longo, who serves as a specially appointed associate professor at Science Tokyo and as an affiliate research scientist at the Blue Marble Space Institute of Science.

The research has implications ranging from the origins of life and the search for life in the universe to cutting-edge medical innovation. “One of the biggest unanswered questions in science is how life first began,” says Kamerlin, who is a corresponding author of the study. “Understanding how the first protein-like molecules formed and what the earliest proteins may have been like is a key part of that puzzle.”

“Proteins power our bodies — and all life on Earth,” she adds. “Simply put, the evolution of proteins is the reason that we’re able to have this conversation at all.”

A Protein Folding Paradox

If proteins are the scaffolding of life, amino acids are the components that make up that scaffolding. “Today, an average protein is constructed from a chain of about 300 amino acids, involving 20 different types of amino acids,” Kamerlin shares. Proteins fold when these chains twist into a specific 3-dimensional shape, creating structures critical for biology.

However, while these folds are essential, exactly how a protein knows which way to fold remains a mystery. “We know that proteins didn’t just fold randomly,” Kamerlin shares, “because randomly trying all possible configurations would take a protein longer than the age of the universe.”

It’s a cornerstone problem in biological science called “Levinthal’s Paradox,” and highlights a fundamental mystery: Proteins fold incredibly quickly into very specific combinations — but like a sheet of paper spontaneously folding into an origami swan, researchers don’t know how proteins “choose” the folds they make.

“We can predict what a protein will look like, but can’t tell you how it got there,” Kamerlin adds. “That’s what we’re interested in exploring: how small early proteins developed into the complex proteins that support every living thing on today’s Earth.”

Simple Letters, Sophisticated Structures

Early proteins likely had access to just half of today’s amino acids. “About 10-12 amino acids were likely available on early Earth,” Kamerlin says. Like writing a story with just the letters “A” through “L,” researchers assumed that the ‘vocabulary’ proteins could build from such a limited amino acid alphabet would also be constrained.

“There is a language to protein folding,” Kamerlin explains. “That language is hidden in their structures. Our research is in trying to understand the rules — the grammar and vocabulary that dictate a protein fold.” 

The grammar they discovered was surprising: with a combination of creative techniques and environmental support, complex structures can arise from limited amino acid alphabets. 

“We found that it is possible to develop complex folds with very simple tools — and certain environments, like salty ones, can help support that,” Kamerlin shares. “Early proteins could also cross-link and associate, interacting like LEGO blocks to create more complex structures.”

Pioneering Proteins

Now, the team is conducting research in environments that could mimic conditions on early Earth — aiming to discover more about how these regions could have given rise to today’s complex proteins. “This aspect of our research also ties into the amazing space research happening at Georgia Tech,” Kamerlin says. “While we’re interested in understanding early life on Earth, our work could help inform where best to look for evidence of life beyond our planet.”

Kamerlin specializes in creating computer models that simulate possible scenarios – creating an opportunity to quickly and efficiently test many theories. The most compelling of these can then be tested by her collaborator and co-author at Science Tokyo, Liam Longo, in lab experiments. 

Protein folding is also at the forefront of medical innovation, ranging from diagnostic tools to cancer treatments and neurodegenerative diseases. “In the broader scope, we’re interested in discovering what we can design, what we can stress test, and what we can reconstruct with AI and other computational tools,” Kamerlin says. “Because if you can understand how proteins fold, you gain the ability to design them.”

Funding: NASA, the Human Frontier Science Program, and the Knut and Alice Wallenberg Foundation

DOI: https://doi.org/10.1016/j.trechm.2026.03.001

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

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

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

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

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

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

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

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

Good Explanations

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

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

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

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

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

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

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

Knowing the Context

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

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

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

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

Not Just Checking Boxes

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

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

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

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

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

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

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

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

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

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

[Related: GT @ CHI 2026]

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Now, the team is working with the Linux Foundation and the Open Source Security Foundation (OpenSSF) to ensure that its breakthrough doesn’t remain confined to a competition environment. The team’s new initiative, OSS-CRS, aims to standardize and operationalize cyber reasoning systems (CRSs) for real-world use.

“The AI Cyber Challenge pushed the boundaries of autonomous software security, with seven teams developing systems capable of finding and remediating vulnerabilities at scale,” said Andrew Chin, a Georgia Tech Ph.D. student and lead on the OSS-CRS program. 

“However, after the competition’s conclusion, it has been difficult to apply these advancements to the open-source community due to infrastructure incompatibilities and the lack of long-term maintenance for the open-sourced CRS implementations.”

To address this gap, Georgia Tech’s Systems Software Lab (SSLab), directed by Professor Taesoo Kim, is leading the development of OSS-CRS, which provides both a common framework for CRS development and the infrastructure needed to deploy these systems seamlessly across open-source projects.

As part of this effort, the team has ported its competition-winning system, Atlantis, into the OSS-CRS framework. The move makes it compatible with laptops and other everyday machines with flexible resource and budget configurations.

Interoperability is also central to the framework’s design. Atlantis can be combined with other CRSs to improve performance, including systems developed by fellow AIxCC finalists and newer agentic, command-line-based tools. This modular approach reflects a key lesson the team learned from the competition: collaboration between systems can outperform any single solution.

OSS-CRS has been accepted as a sandbox project within OpenSSF’s AI/ML Security Working Group, a milestone that brings added technical guidance and community support to the project. This includes:

• Access to mentorship
• Dedicated working group meetings
• Broader visibility through industry events, publications, and outreach efforts

The collaboration will also foster stronger connections with open-source maintainers, helping streamline vulnerability disclosure and remediation workflows.

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

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

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

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

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

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

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

Experimenting in the Wild

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

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

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

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

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

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

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

Enhancing Environmental Enrichment

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

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

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

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

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

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

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

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

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

Prausnitz, a Regents’ Professor, Regents’ Entrepreneur, and J. Erskine Love Jr. Chair in the School of Chemical and Biomolecular Engineering, is this year’s recipient of the Class of 1934 Distinguished Professor Award. 

“While I may be the focal point, it’s not a recognition of me as an individual. It’s a recognition of everything the team has done,” Prausnitz said. “I know how to do some things, but there are many things I don’t know how to do. That’s why working with others matters. You bring people together, fill in the gaps, and solve the whole problem.” 

The “some things” Prausnitz knows how to do have led to revolutionary medical innovation over a 30-year career at Georgia Tech, where he has led transformative work in microneedle drug delivery, launching 10 companies in the process. 

During that time, Prausnitz published hundreds of peer-reviewed papers, was granted dozens of patents, and advanced his work from early laboratory studies into more than 20 human clinical trials. His research has produced multiple FDA‑approved or clinically tested technologies. 

Understanding Prausnitz’s success starts with his approach to engineering in practice. Science may begin with discovery, but engineering, as he describes it, focuses on taking something uncertain and making it work. 

“One of the things that really distinguishes engineering from science is the work of problem-solving to reach an answer,” he said. “You start with something diffuse and figure out how to put all the pieces together. That to me is a hallmark of engineering.” 

That way of thinking took shape early in his life. 

Read the full story.

Presentations and lab demonstrations from nearly 50 faculty, graduate, and undergraduate students at Georgia Tech’s George W. Woodruff School of Mechanical Engineering, as well as partners from the University of Washington and the University of Texas at Austin, spotlighted new research and technologies to improve tower crane safety.

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

It’s not glamorous. It’s not trendy. In fact, it’s downright grubby. But the work that a Georgia Tech researcher and his students are doing is improving campus sustainability, one pound of food waste at a time. 

The Academy recognizes leaders across fields of study who have addressed humanity’s greatest challenges while also gathering knowledge to advance learning and the public good. This year’s class of 252 honorees was elected in academia, the arts, industry, journalism, philanthropy, policy, research, and science.  

García is one of nine honorees in the “Engineering and Technology” division. His research — both in the George W. Woodruff School of Mechanical Engineering where he serves as Regents’ Professor and in the Parker H. Petit Institute for Bioengineering and Bioscience where he is the executive director — aligns with the Academy’s service-minded mission.  

“I am inspired to find engineering solutions to serious health conditions to help people,” he said. “As a kid, I developed a musculoskeletal condition that required biomaterial devices to treat. Although imperfect, this treatment allowed me to lead a normal life.” 

Moved by his personal experience, García’s research centers on cellular and tissue engineering, which integrate biological and engineering principles to restore organ function lost to injury or disease. By studying how cells interact with the materials around them, he and his team have engineered biomaterials for the controlled delivery of therapeutic proteins and cells that enhance tissue regeneration, which could speed the healing process for patients.  

His future work will integrate biomaterials with lab‑grown replicas of human organs, known as organoids, that can be used to identify new therapies for a variety of human diseases. These organoids, though smaller and simpler than true organs, can mimic key functions that may help García and his team to find better ways to repair damaged tissues. 

García has spent the past 27 years at Georgia Tech and carries on the legacy of another Academy member — the Petit Institute’s founding executive director Robert Nerem, who was inducted in 1998. García credits his success to the support of his loved ones and the Yellow Jacket community.  

“I am deeply honored and humbled,” he said. “This award is only possible by the unending love and support of family, friends and mentors, my phenomenal past and present trainees, fantastic collaborators, and awesome ecosystem at Georgia Tech.” 

The Academy was chartered in 1780 during the American Revolution by a group that included John Adams and John Hancock. It was established to recognize accomplished individuals and engage them in addressing the greatest challenges facing the young republic. 

Membership has broadened over the years to celebrate excellence in a variety of fields. Honorees have included poet Robert Frost, musician John Legend, and chef José Andrés, who was given this year’s Ivan Allen Jr. Prize for Social Courage.  

García and the rest of this year’s class, which includes actor Jodie Foster, will be inducted in October.  

Students, faculty, and researchers from Georgia Tech and Kennesaw State University gathered on April 8 for a joint workshop between Georgia Tech's NSF Sustainable Development of Smart Medical Devices (SUSMED) program and KSU's Mobility for Everyone (MOVE) Center. The full-day event explored how sustainable design, mobility science, and health technologies are converging to shape the next generation of medical devices.  

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

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

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

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

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

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

[Related: GT @ ICLR 2026]

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

In a new research article, “Help or Hindrance? The Role of Familiarity in Product Development Teams,” Ramachandran and his co-authors Necati Tereyagoglu and Murat Unal, show the crucial role familiarity plays in team dynamics.

“Every creative organization deals with a fundamental tension,” Ramachandran said. “People love working with teammates they know well, but innovation often depends on fresh perspectives.”

There is a lot to be said about familiarity. Famously, it breeds contempt. Previous studies have shown that repeat collaboration helps teams execute smoothly. But smooth operations don’t always translate to commercial success. Ramachandran’s research shows that it can breed a different kind of trouble — an environment free from friction, debate, and novelty. Those conditions may be comfortable, but they don’t help creativity thrive. Video game development, it turns out, provides the perfect setting for productive tension.

“Video games require both bold creative ideas and flawless execution,” Ramachandran shared. “They blend art, engineering, storytelling, and software into a single product. We were curious about how familiarity impacts team dynamics within this industry. When does it help and when does it quietly get in the way?”

Read More

In December, The Conversation hosted a webinar on AI’s revolutionary role in drug discovery and development.

Science and technology editor Eric Smalley interviewed Jeffrey Skolnick, eminent scholar in computational systems biology at Georgia Institute of Technology, and Benjamin P. Brown, assistant professor of pharmacology at Vanderbilt University.

Skolnick has developed AI-based approaches to predict protein structure and function that may help with drug discovery and finding off-label uses of existing drugs. Brown’s lab works on creating new computer models that make drug discovery faster and more reliable. Below is a condensed and edited version of the interview.

Let’s start with the big picture. How is AI changing biomedical research and drug discovery, and what is the potential we are talking about?

Skolnick: The upside, potentially, is very large. One of the frustrating things about drug discovery is that, in spite of the fact that the people doing it are extraordinarily intelligent and have done an extraordinarily good job, the success rate is very low. About 1 in 5 drugs will have negative health effects that outweigh its benefits. Of the ones that pass, roughly half don’t work.

In drug development, there are several key issues: Can you predict which target is driving a particular disease? Once this target is identified, how can you guarantee the drug is going to work and isn’t simultaneously going to kill you?

These are outstanding problems in drug discovery in which AI can play an important, though not 100% guaranteed, role. Unlike us, AI can look at basically all available knowledge. On a good day it makes strong and true connections called “insights,” and on a bad day it does what is called “hallucinating” and sees things that are weak and probably false.

At the end of the day, many diseases do not have a cure. Most diseases are maintained, such as high cholesterol or autoimmune conditions. A treatment for cancer might buy you five years, and now you’re in Stage 4 and you’ve exhausted all the standard care drugs. AI can play a role to suggest alternatives where there are none.

Let’s give some basic definitions here. When we use the word drug, we’re talking about a wide range of therapies. Can you explain the range – we’ve got small molecule drugs, biologics, gene therapies, cell therapies.

Brown: We have fairly large molecules in our bodies called proteins. They are like machines that carry out specific functions and interact with one another. Oftentimes, when we’re trying to treat disease, we’re trying to alter functions of specific proteins. Many drugs, like aspirin and Tylenol, are small molecules that can fit into a protein and change its function. Fundamentally, drugs don’t have to just interact with proteins, but this is a major way in which our current repertoire of medications work.

There are also proteins that act like drugs, such as antibodies. When you receive a vaccine for a virus, your body is basically given instructions on how to develop antibodies. These antibodies will target some part of that virus. Your body is creating these big molecules, much bigger than aspirin, to go and interact with foreign proteins in a different way. Gene therapy is a larger step beyond that.

So these modalities – molecule, protein, antibody or gene – are very different types of molecules. They have different scales and rules, so the way you approach designing and discovering them various widely.

Can you briefly explain artificial neural networks, and what the “deep” in deep learning means?

Skolnick: AlphaFold, developed by DeepMind, involved understanding how neural networks worked. They built a network with a lot of inputs, which are stimuli, and outputs with different weights, similar to how your brain actually works. These simple connections, or neurons, have reinforcement learning.

They also created sophisticated neural networks, such as transformers, which do specific things like a special-purpose tool that can learn, and they added a mechanism called “attention,” which amplifies critical details. Super neural networks with transformers is what we call deep learning. These now have literally billions, if not trillions, of parameters.

Essentially, these machines can learn higher order correlations between events, meaning the patterns of conditional interactions that depend on the properties of multiple things simultaneously. In these higher order correlations, AI has the potential to see previously unknown things that are embedded in petabytes (a unit of data equivalent to half of the contents of all U.S. academic research libraries of biological data.

AlphaFold, which predicts three-dimensional, bioactive forms of a protein, has millions of sequences and a couple of hundred thousand structures. It can tell you, based on a particular pattern, what small molecule to design that sticks to a protein to induce some kind of structural shift.

How is this technology being used in biomedical research to understand molecular dynamics or, essentially, the biological processes involved in health and disease?

Brown: In 2013, there was a Nobel Prize for molecular dynamics simulations, computational tools that help you understand the motions of molecules as they move according to physics. There’s a huge body of scientific research built around those ideas.

AI and deep learning are large right now, but it’s worth mentioning that for the last decade and a half, people have been using much smaller machine learning algorithms to help design drugs. A lot of the ideas, such as [using machine learning for virtual screening], are not new and have been in practice for a while.

With AlphaFold’s technologies to help people design proteins and predict their structure, we’ve changed how we think about a lot of these problems. We have this new repertoire of approaches to build ideas around and to start thinking about drug discovery.

From 20 years ago to now, what has today’s AI technology done in terms of scale of change in this process?

Skolnick: A lot of diseases, like cancers, are caused by a collection of malfunctioning proteins. AI now allows us to start to think conceptually about how these diseases are organized and related to each other.

Diseases tend to co-occur. For example, if you have hyperthyroidism, you’re very likely to develop Alzheimer’s. Kind of weird, right? We can look at pieces, but AI can look at all the information, integrate the collective behavior and then identify common drivers. This allows you to construct disease interrelationships which offer the possibility of broad spectrum treatments that could treat whole collections of diseases rather than narrow-spectrum treatments.

Relatedly, AI also can help us understand disease trajectories. Diseases that tend to co-occur often present themselves consecutively. You have disease 1, it gives you disease 2, then gives you disease 3. This suggests that if you go back to the root with disease 1, you may be able to stop a whole bunch of stuff. You can’t analyze millions of trajectories and millions of data without a tool, so you couldn’t do this before.

This holds a lot of promise, but one also must be careful not to overpromise. It will help, it will accelerate, but it is not a substitute yet for real experiments, real clinical validation and trials.

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

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

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

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

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

Economic Impact

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

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

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

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

Genetic Passcode Protection

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

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

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

Biohackathon Security Test

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

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

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

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

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

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

Commercial Uses and What’s Next 

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

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

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

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

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

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

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

This research was funded by a grant from the National Science Foundation.

CITATION:

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

A Spark of Curiosity

In 2017, faculty conversations began circulating about a new kind of capstone experience, one driven by student discovery and entrepreneurial thinking rather than predetermined client requirements. The idea intrigued Omojokun.

“I remember thinking, this is really different from anything I’ve ever taught,” he said.

In his previous courses, Omojokun took pride in providing the structured, rigorous framework students needed to master complex concepts. While those interactions were dynamic, the curriculum required a specific, focused trajectory. CREATE-X offered a different kind of challenge: the "X" of the program, representing undefined, endless potential.

“CREATE-X is full of unknowns. You don’t know what industry the students are diving into, what roadblocks they’ll run into and navigate out of, or what small- to large-scale successes they’ll achieve throughout the semester. It really had my blood pumping,” he said. As someone who loves the challenge of academia, it was an invigorating way to help the next generation apply what they’ve learned in a new context.

Omojokun co-taught the first CREATE-X Capstone section with College of Computing students in fall 2018 alongside Craig Forest, associate director of the Invention Studio. While the initial computer science cohort was small, the experience was immediately powerful.

“It was humble beginnings but deeply eye-opening,” he said.

In this new environment, students weren't just solving problems; they were seeking them and sometimes pivoting. Traditional client-driven capstones offer students invaluable experiences in delivering high-quality products, responding to clients’ often evolving needs, and adhering to professional standards. CREATE-X added a layer of venture-validation, requiring students to identify a gap in the market and build something with commercial viability.

As the semesters continued, CREATE-X grew from a program with an interesting capstone course Omojokun enthusiastically co-taught to a professional inflection point for him. He found himself talking about it frequently, with colleagues, with students, even with prospective undergraduates who may not see a capstone for years.

He began encouraging prospective and incoming students to take CREATE-X pathways. 

“I would tell students, down to first-year students, when you get that opportunity to engage with CREATE-X, take it. You don’t even have to wait until capstone, as there are multiple pathways; in fact, Startup Lab has no prerequisites. Whatever path you take, you’ll remember it for years to come. Whether you officially take a problem solution to market or not, the entrepreneurial confidence gained is priceless.”

Spreading CREATE-X Into the College of Computing

By 2020, when the first Jim Pope Faculty Fellowship cohort opened, applying felt natural. He had already become an unofficial ambassador for CREATE-X, helping students navigate options, promoting programs in classes, and rallying colleagues to engage.

“It was an opportunity to become more connected to this thing that I felt was changing the game on campus,” he said. “It cemented my affiliation with CREATE-X.”

The fellowship gave name and weight to the work he was already doing, while also expanding what was possible.

The Jim Pope Faculty Fellowship provides faculty with $15,000 in discretionary funding, which can support a one-semester break from teaching, along with structured training in evidence‑based entrepreneurship, dedicated mentorship, and the opportunity to work closely with students launching startups.

The fellowship also equips faculty to become entrepreneurial instructors and mentors through the CREATE‑X ecosystem, giving them tools to integrate entrepreneurship into their coursework and curricula. Each cohort of fellows is trained to embed entrepreneurial methods, develop new innovation‑focused assignments, and serve as advisors within programs like Startup Lab, Idea‑to‑Prototype, and Startup Launch.

For faculty across Georgia Tech, the fellowship offers something rare: institutional backing, resources, and formal recognition for bringing entrepreneurship into their teaching and shaping how students learn to become problem‑solvers.

Omojokun said he sees CREATE-X as the apex of applying technical fundamentals. 

As part of the fellowship, Omojokun brought the program’s ethos into his courses, even a foundational course like CS 1331: Introduction to Object Oriented Programming, where he created a CREATE-X–branded final project. Students built a “problem database” application as their final homework assignment, cataloging real issues they encountered in daily life, assessing their skills to solve them, evaluating markets and metrics, and then deciding potential pathways forward.

“It’s an innovation diary,” he said. “A tool that can get them closer to thinking like a founder.”

The response from students, including many non-computing majors who take his section each semester, has been overwhelmingly positive. While the project is challenging, the open-ended nature and real-world relevance motivate deeper engagement. 

“When students believe their work will solve a meaningful problem for a meaningful population, they bring passion to it,” he said. “They start observing the world differently.”

The more Omojokun saw, the deeper his enthusiasm grew.

Shaping the College of Computing

Even as he stepped into the role of inaugural chair of the School of Computing Instruction in 2022, CREATE-X remained at the forefront of Omojokun’s conversations. Interest in the program continued to grow significantly. Students stopped him in the hallways to talk about their ideas. Faculty reached out to ask about mentorship opportunities. And he continued championing the program in the many settings he entered.

“It turns out that the most engaged group of students in CREATE-X is computing undergraduates,” Omojokun said. “I wanted to make sure that high involvement continued, no matter what size we are,” he said.

Over time, Omojokun strengthened the partnership between the College of Computing and CREATE-X, weaving entrepreneurship deeper into the College's curricular fabric.

Last January, Omojokun was appointed as the associate dean for Undergraduate Education in the College of Computing. One of his priorities was highlighting CREATE-X’s curricular impact. In coordination with key stakeholders — including Kelly Ann Fitzpatrick (computing), Craig Forest (mechanical engineering), and Raul Saxena (CREATE-X) — he nominated the program for the ABET Innovation Award.  The award honors programs that challenge the status quo in technical education and demonstrate a measurable impact on student learning in ABET-accredited disciplines, such as natural sciences, computing, engineering, and engineering technology. CREATE-X won.

The CREATE-X Advantage With Faculty 

When faculty are considering something like the Jim Pope Fellowship, Omojokun said the biggest barrier he hears about from them is time. With courses that can enroll 300 students per section and extensive responsibilities beyond the classroom, time is a scarce resource.
He could relate. 

“There are always lots of things on my physical and virtual desktop. I always warn people before they enter my office,” he said.

However, Omojokun argued that participating in the fellowship program was time well spent because it helps them rediscover the most exciting parts of teaching.

“It’s worth the time. One of the goals of teaching is to see students passionate about what they’re learning, and CREATE-X makes that happen consistently,” he said. 

The Future With Technology

As AI reshapes industries, Omojokun believes that CREATE-X equips students to navigate the unknown and forge new paths as existing ones shift, providing a versatile skill set that transfers to employment, potentially self-employment, and beyond. 

“There’s a lot of uncertainty with AI in the workspace, but CREATE-X gives students the confidence and skills to succeed at whatever comes,” he said. “We are putting students through this process of finding a problem that’s meaningful and matters to the world; mastering that allows them to lead in any environment.”

Applications Now Open: Become a Jim Pope Faculty Fellow

The 2026 Jim Pope Faculty Fellowship is now accepting applications. For faculty who want to explore integrating entrepreneurship into their teaching, mentoring student founders, and helping shape a culture of innovation across campus, this fellowship offers resources and a supported pathway to begin. Faculty from all disciplines are encouraged to apply to the Jim Pope Fellowship. Priority deadline: July 1; final deadline: Aug. 11.

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

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

Georgia Tech students will once again take part in a national competition that connects them directly with automotive industry leaders to develop the next generation of mobility innovations. 

Coca-Cola, a neighbor to Georgia Tech since 1920, expects to sell a building and adjacent land in a transaction valued at $31.3 million. The company chose to work directly with Georgia Tech on the planned transaction, reflecting the long-standing relationship between the two organizations and a shared commitment to Atlanta’s continued growth and innovation.

The expected sale includes a two-story brick building, part of Coca-Cola’s holdings since 1988, and an adjoining two-acre park along North Avenue. 

“This strategic addition to our core campus will support our growth in enrollment and research activity for years to come,” said Georgia Tech President Ángel Cabrera. “I appreciate our long relationship with The Coca-Cola Company that allowed us to pursue this opportunity as we continue to invest in our campus, our neighborhood, and Atlanta’s innovation ecosystem.”  

James Quincey, Coca-Cola’s executive chair and Georgia Tech’s 2020 Commencement speaker, said the company wanted the property to continue contributing to Atlanta’s innovation ecosystem.

“When we decided this space was no longer needed for our corporate campus, our goal was to work with Georgia Tech, as this site offers a great opportunity for them to expand,” Quincey said. “Coca-Cola has a long legacy of involvement and partnership with Georgia Tech, and we are excited to see them redevelop this important area in Atlanta.”

Georgia Tech will evaluate how the property can best support academic, research, and student needs as part of its long-term campus planning efforts. The acquisition represents a strategic step in ensuring Georgia Tech has the space needed to educate future leaders and advance research that strengthens Georgia’s economy.

About Georgia Tech

The Georgia Institute of Technology, or Georgia Tech, is one of the top public research universities in the U.S., developing leaders who advance technology and improve the human condition.

The Institute offers business, computing, design, engineering, liberal arts, and sciences degrees, as well as professional development and K-12 programs for fostering success at every stage of life. Its more than 56,000 undergraduate and graduate students represent 54 U.S. states and territories and more than 146 countries. They study at the main campus in Atlanta, at instructional sites around the world, and through distance and online learning.

As a leading technological university, Georgia Tech is an engine of economic development for Georgia, the Southeast, and the nation, conducting more than $1 billion in research annually for government, industry, and society.

About The Coca-Cola Company

The Coca-Cola Company (NYSE: KO) is a total beverage company with products sold in more than 200 countries and territories. Our company’s purpose is to refresh the world and make a difference. We sell multiple billion-dollar brands across several beverage categories worldwide. Our portfolio of sparkling soft drink brands includes Coca-Cola, Sprite, and Fanta. Our water, sports, coffee, and tea brands include Dasani, smartwater, vitaminwater, Topo Chico, BODYARMOR, Powerade, Costa, Georgia, Fuze Tea, Gold Peak, and Ayataka. Our juice, value-added dairy, and plant-based beverage brands include Minute Maid, Simply, innocent, Del Valle, fairlife, and Santa Clara. We’re constantly transforming our portfolio, from reducing sugar in our drinks to bringing innovative new products to market. We seek to positively impact people’s lives, communities, and the planet through water replenishment, packaging recycling, sustainable sourcing practices, and carbon emissions reductions across our value chain. Together with our bottling partners, we employ more than 700,000 people, helping bring economic opportunity to local communities worldwide. Learn more at www.coca-colacompany.com and follow us on Instagram, Facebook, and LinkedIn.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

That fundamental organ is the brain.  

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

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

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

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

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

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

Neuroethics by Design 

Read the full story. »

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

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

About Annie Lin

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

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

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

Why environmental science? 

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

About Madeline Weller 

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

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

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

Why environmental science?

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

The programming style relies on using generative artificial intelligence (AI) to create software code using tools like Claude, Gemini, and GitHub Copilot. According to graduate research assistant Hanqing Zhao of the Systems Software & Security Lab (SSLab), no one had been tracking these common vulnerabilities and exposures before the launch of their Vibe Security Radar.

“The vulnerabilities we found lead to breaches,” he said. “Everyone is using these tools now. We need a feedback loop to identify which tools, which patterns, and which workflows create the most risk.”

The radar extensively scans public vulnerability databases, finds the error for each vulnerability, and then examines the code’s history to find who introduced the bug. If they discover an AI tool's signature, the radar flags it. 

Of the 74 confirmed cases uncovered so far by the tool, 14 are critical risks, and 25 are high. These vulnerabilities include command injection, authentication bypass, and server-side request forgery. Zhao explained that since AI models tend to repeat the same mistakes, an attacker would need to find these bugs just once. 

“Millions of developers using the same models means the same bugs showing up across different projects,” he said. “Find one pattern in one AI codebase, you can scan for it across thousands of repositories.”

Despite its success, the team has only scratched the surface of the problem. The radar can trace metadata like co-author tags, bot emails, and other known tool signatures, but it can't identify an issue if these markers have been removed. 

The next step is behavioral detection. AI-written code has patterns in how it names variables, structures functions, and handles errors. 

“We're building models that can identify AI code from the code itself, no metadata needed,” said Zhao. “That opens up a lot of cases we currently can't touch.”

The team is also improving its verification pipeline and expanding its sources to include more vulnerability databases. The goal is to get a more complete picture of AI-introduced vulnerabilities across open source, not just the ones that happen to leave signatures behind. 

As more programmers rely on vibe coding, Zhao warns that it still needs to be reviewed as thoroughly as any other project. 

“The whole point of vibe coding is not reading it afterward, I know,” he said. “But if you're shipping AI output to production, review it the way you'd review a junior developer's pull request. Especially anything around input handling and authentication.”

When prompting AI, SSLab also recommends providing more detailed instructions to get it closer to production-ready. There are also tools to check the code for vulnerabilities after  code it has been generated. Not double-checking could lead to a catastrophe. 

“The attack surface keeps growing,” said Zhao. “More people running AI agents locally means the attacker doesn't need to break into the company infrastructure. They just need one vulnerability in a model context protocol server that someone installed and never reviewed.”

One reason the attack surfaces are expanding rapidly is AI’s evolution. In the second half of 2025, the Vibe Security Radar found about 18 cases across seven months. Then, in the first three months of 2026, it identified 56. March 2026 alone had 35, more than all of 2025 combined. 

Many tools, like Claude, are now more autonomous, allowing developers to write entire features, create files, and even make architecture decisions. 

“When an agent builds something without authentication, that's not a typo,” said Zhao. “It's a design flaw baked in from the start. Claude Code and Copilot together account for most of what we detect, but that's partly because they leave the clearest signatures.”

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

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

Commitment to Space

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

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

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

Exploring the Final Frontier

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

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

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

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

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

Policy and Public

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

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

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

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

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

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

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

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

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

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

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