As an associate professor jointly appointed in Georgia Tech’s School of Interactive Computing and School of City & Regional Planning, Andris relies on government data for her research, so slowdowns like this can be more than inconvenient. They can also hinder scientific discovery.

The problem is that many government websites that host the data aren’t user-friendly. These data sources are complex and voluminous, and the search engines are inefficient at narrowing down what users are seeking.

“It kind of has a ‘last mile’ problem,” Andris said. “Government workers and geospatial data workers have spent so much time and money creating these data sources. They’ve kept such great records year after year, but then that last mile is, how do we get it to people?”

Andris advised the federal government on this challenge while serving on the National Geospatial Advisory Committee (NGAC). The committee was formed by the Department of the Interior under the Geospatial Data Act of 2018, which established a new system for how the federal government collects, manages, and shares geospatial data.

Andris rotated off the committee in 2025 but led a report released in March 2026 titled Improving the Digital Experience for Users of National Geospatial Data. In the report, Andris and her collaborators outline recommendations for making geospatial data easy to retrieve and download. 

These recommendations were intended for government agencies with websites that feature maps and segment data by geographic region. These agencies included the U.S. Census Bureau, the United States Geological Survey (USGS), the National Oceanic and Atmospheric Administration (NOAA), the Environmental Protection Agency (EPA), and NASA. 

“The NGAC hadn’t focused yet on the way that users are interfacing with these sites, but it’s in our best interest to study it,” Andris said.

Andris and her co-authors on the report focused on five key areas for improvement:

• Provide clear navigation signposts that allow users to access data in as few clicks as possible
• Display key statistics so users know how large a file is and how many times it’s been downloaded
• Provide thumbnail previews of the data files
• Add forums for comments, discussion, and engagement
• Create user typologies to understand who is accessing the data

One glaring crack in the system Andris found was the frequency with which drop-down menus didn’t immediately take the user to the data or let them download it.

“When users click on something that says data, they should be able to get data,” she said. “It’s like going to a vending machine and having it ask if you’d like to learn more about vending machines instead of giving you what you want.” 

Andris said users should also be able to know as much as possible about a file before downloading it.

“People are used to seeing reviews and ratings on sites like Amazon to get a sense of how many people are using a product,” she said. “In that respect, we think people should be given more metrics on how many downloads the data they are seeking has. 

“They should be able to see the metadata—including the file size so they can know how much space it will take up before downloading. They should also know the file type and whether they can open it in their software.”

Andris said there’s wisdom in emulating how private companies design their websites.

“Retail sites have conditioned people to expect things to be easy. They get what they want in one click. If they don’t find what they’re looking for almost immediately, they might give up. Adopting some of these practices from industry would probably be a good idea.”

For more information about the NGAC, visit https://www.fgdc.gov/ngac/. For the full report written by Andris, click here.

U.S. Commerce Secretary Howard Lutnick said, “Hurricane Helene left Georgia growers with damaged timber and exposed weaknesses in their supply chains. With this federal funding, backed by $24 million in private investment, Georgia Tech is exploring how to turn that timber into valuable ag-nutrients and testing ways to keep supply chains moving even when storms hit.” 

The ReGEN Ag project funding is part of a larger initiative, the EDA Fiscal Year 2025 Disaster Supplemental Grant Program. The ReGEN Ag award supports two initiatives that will be implemented over an 18-month period.  

Resilient Routes, headed by SCL, will incorporate modeling with live mapping of critical infrastructure and routes to create cooperative logistics hubs. “For decades, SCL has led applied supply chain research that solves real problems for industry,” said SCL Managing Director Chris Gaffney. “Partnering with RBI on ReGEN Ag lets us put that experience to work for Georgia's forestry sector, building cooperative logistics that connect South Georgia's timber to new, higher-value products and markets.” 

ReWOOD, led by the RBI-associated Center for a Renewables-Based Economy From Wood (ReWOOD) aims to turn low-grade timber and wood waste into value-added chemicals and bioproducts. “The ReWOOD initiative builds on RBI’s tremendous strength in wood-based products to create additional revenue sources for Georgia’s forestry industry by developing processes and products to benefit human and animal health and well-being, including new materials, animal feed, care products, and many other applications,” said Andreas Bommarius, ReWOOD co-director.

Timber and its related industries play a significant role in Georgia’s economy. According to the Georgia Forestry Association, the sector contributes $41.3 billion a year to the state’s economy and supports nearly 144,000 direct and indirect jobs.  

EI² Vice President David Bridges said the ReGEN Ag project complements the unit’s broader commitment to supporting socioeconomic development across the entirety of Georgia.  

“When EI² conducted a listening tour of the state, we heard specifically from timber industry owners and companies in South Georgia about the need for finding and developing value-added products,” Bridges said. “This funding provides a chance to explore some of those pathways, while building resilience and boosting prosperity in the southern part of the state.” 

The award also allows Georgia Tech to work closely with two of its educational partners, South Georgia State College and Wiregrass Georgia Technical College, to build workforce opportunities in forestry, agriculture, biomanufacturing, and supply chain management. 

“EDA’s investment, along with significant private industry and local partner commitments, gives us a real opportunity to help rural communities recover from storms and grow stronger,” said Betsy McGriff, EI² program manager. “We’re grateful to EDA and to the partners across South Georgia who came together to make this possible, and we’re excited to get started.”

Unlike traditional AI backdoors, which manipulate a model's learned parameters, architectural backdoors hide malicious instructions directly in the code that defines how the model operates.

However, everyday image-processing operations, such as cropping, adjusting contrast, or adding noise, can change a trigger pattern and prevent an attack from working, according to new research from Georgia Tech.

The findings challenge assumptions about how practical these attacks are. Although previous research showed that architectural backdoors could work under controlled conditions, the Georgia Tech team found that existing approaches struggle to remain effective and difficult to detect when AI systems process images under realistic conditions.

“The biggest misconception is that demonstrating an architectural backdoor under controlled conditions means it will actually work in the real world,” said David Oygenblik, Ph.D. student and lead author of the study.

The study details the development of FAULT, a framework for evaluating architectural backdoors under realistic conditions.

The findings reveal a tradeoff. Attackers can make a backdoor more sensitive, so it recognizes its trigger after an image has been changed. But that also increases the chance that ordinary images will accidentally activate the backdoor, potentially hurting the AI system’s performance.

“For the architectural backdoors we study, this tradeoff is fundamental,” Oygenblik said.

The team found that this problem persisted across five methods of implementing architectural backdoors. Even when attackers knew how the system would process images, they struggled to make their attacks both reliable and difficult to detect.

The research did not test attacks against real vehicles or other production systems, nor did it demonstrate outcomes such as crashes or ransomware. Instead, it examined whether existing architectural backdoors could reliably activate under different image-processing conditions.

However, the findings highlight a potential risk in the AI software supply chain. If an attacker inserted malicious code into an AI model used in a real system, the backdoor could potentially cause incorrect predictions when its trigger was detected. The consequences would depend on how the system used the model’s output.

Because architectural backdoors hide in code, examining a model’s learned parameters or retraining it may not be enough to uncover or remove the threat.

Oygenblik said developers should test AI systems under realistic conditions, watch for unexpected drops in accuracy, and examine model code for suspicious trigger-detection logic.

Finding FAULTs in Architectural Backdoors: Why Trigger Detection Fails Under Real-World Conditions, was accepted to the ACM Conference on Computer and Communications Security. The authors will present the paper in The Hague in November.

Oygenblik conducted the research with undergraduate students Teja Akella and Tanmay Gupta, Ph.D. student Yizhi Huang, and Associate Professor Brendan Saltaformaggio of Georgia Tech’s Cyber Forensics Innovation Laboratory. The lab is a collaboration between the School of Cybersecurity and Privacy and the School of Electrical and Computer Engineering. 

Georgia Tech researchers have developed a tool that can recover deleted conversations from AI assistants running on Android phones. The tool, called ORISA, can also rebuild the recovered information into a working AI session.

The findings show that deleting an AI conversation on a phone does not necessarily mean it removes every trace.

The research could give digital investigators a new way to recover information from phones. It also raises privacy concerns for people who use AI assistants that run locally on their devices.

Local AI assistants run directly on a phone rather than sending conversations to a cloud service. While the local assistant is running, information from conversations can remain in the phone’s working memory even after it is deleted.

ORISA searches this memory for pieces of deleted conversations.

In one experiment, researchers created a fictional AI assistant called “Project Note Keeper” using the ChatterUI Android app. They gave it 100 fictional facts about a project, then deleted the conversation.

ORISA recovered information from the deleted conversation and used it to create a new working session. When researchers asked the restored assistant to list the project notes it had been given, it returned 26 facts. The original session could access only 14 facts because the rest had fallen outside its active memory.

The experiment showed that researchers could recover information the AI had already stopped actively using.

“It can help establish what information someone shared with an AI assistant and what assistance they received,” said Ph.D. student Ken Xu, lead author of the study.

The researchers tested ORISA with 10 Android apps and three AI models. Across 60 test configurations, the tool recovered conversation information that remained in the phone’s memory.

The researchers say the information becomes harder to recover as the phone’s memory is overwritten by other activity.

The research was presented at the 2026 IEEE Symposium on Security and Privacy. The paper, titled Recovering and Rehosting Mobile Local LLM Conversations and Contexts via Memory Forensics, was authored by Ph.D. students Xu, David Oygenblik, Runze Zhang, and Mingxuan Yao; Research Scientist Muhammad Ibrahim; and Associate Professor Brendan Saltaformaggio. The work was done in Georgia Tech's Cyber Forensics Innovation Laboratory, a collaboration between the School of Cybersecurity and Privacy and the School of Electrical and Computer Engineering. 

However, a new paper by a Georgia Tech-led research team suggests that the requirements can disproportionately burden family farms and other small food producers due to a lack of technological infrastructure, resources, or compliance expertise.

The rule is mandated by Section 204(d) of the Food Safety Modernization Act, which Congress passed and President Barack Obama signed into law in 2011. Intended to help the FDA quickly identify the source of contamination, the rule requires producers or distributors with more than $25,000 in annual produce sales to comply or face significant fines. 

Earlier this year, the FDA extended its compliance deadline to July 2028. One reason for the extension may be the volume of feedback from stakeholders affected by the rule. The FDA received more than 1,200 comments during an open forum, with feedback from stakeholders ranging from major distributors to small farmers. 

“Many small farmers commented on how they may not have the devices needed to input this data,” said Soonho Kwon, a Ph.D. student in Georgia Tech’s School of Interactive Computing (SIC) and lead author of the paper. “Does this mean they have to purchase it themselves? Do they need to become educated on how to use computing systems?”

Kwon is a member of the Equity and Sustainability in Computing Lab, which is led by SIC professor and chair Shaowen Bardzell.

Many small farms also said they can’t afford to hire someone to track the data.

One small farmer said the amount of data tracking required by the rule is overwhelming. Some of the required data include:

• location and name of the field where food was harvested
• date of harvest
• packing dates
• shipping dates

“Please do not force us to do technology stuff,” the commenter said. “It’s hard enough to keep up with the local demand as it is. We run a pretty low digital technology effort. It’s basically harvest fresh organically grown veggies and sell them to local people.”

Kwon said the intention of the Food Traceability Rule is admirable.

“Preventing foodborne illness is critical, and data- and technology-driven governance can be a powerful tool toward that goal,” he said. “But it’s equally important to think critically about who is supposed to be the default user of these systems, and who gets missed in the process. It’s undermining the people who are unable to comply.”

Other factors didn’t appear to be considered by the FDA, including the lack of technological infrastructure in rural America, where many foods are grown.

“Many parts of rural America have limited or unreliable internet access,” Kwon said. “If the FDA wants them to send this data, they must comply within 24 hours. Does that mean they have to stop their daily routine and drive to a city that has internet to send it? The rule is operating on the assumption that everyone is dealing with the same physical environment.”

Culture and religion also seem overlooked. Some commenters raised concerns that Amish farmers who avoid certain technologies for religious reasons would be pressured into digital record keeping.

Many major distributors and organizations expressed support for the Food Traceability Rule in the FDA’s forum. Catherine Wieczorek, a Ph.D. student in SIC and co-author on the paper, said these organizations don’t have the same tension points as smaller producers.

“Larger food producers have the operational capacity to do the type of work the rule requires,” Wieczorek said. “We find there’s a power imbalance when it comes to smaller food producers like a family farm. Change at that scale is difficult for smaller producers.”

Bardzell, who advises Kwon and Wieczorek, said the situation provides computing researchers an opportunity to create interventions that will benefit those with fewer resources.

“In a data age when we’re adding AI into our work processes and labor practices, we need to think about how this need creates unequal burdens on different stakeholders in our food system,” Bardzell said. “It’s a significant challenge for computing going forward.”

Kwon will present the paper on behalf of his collaborators next week at the ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW) in Salt Lake City, Utah. Their research is supported by the National Science Foundation.

In a study accepted for the 2026 ACM Conference on Computer and Communications Security, Georgia Tech researchers interviewed 20 military sailors about their cybersecurity experiences, training, and responses to hypothetical scenarios. Their findings point to a gap between how mariners are trained to handle emergencies and how cyberattacks can compromise the systems they depend on. 

The study found several gaps in how crews prepare for cyber threats:

• Training often misses the mark. Thirteen participants said that standard cybersecurity training was largely irrelevant to their shipboard duties, and 14 reported receiving no mission-specific cybersecurity training.
• Operational technology is often overlooked. Eighteen participants said their training did not distinguish between traditional information technology and operational technology, such as navigation and propulsion systems.
• Obvious failures are easier to recognize. Eighteen participants said they would primarily look for visible signs of operational problems when identifying a potential cyberattack.
• Cybersecurity is often a low priority. Seventeen participants described their cybersecurity training as absent, low quality, or a low priority.

These gaps matter because cyberattacks can compromise a system without causing it to stop working. For example, an attacker could manipulate navigation data, leaving a crew to make decisions based on false information.

“I’d assume it was anything but cyber at first. It would probably take me quite some time to get to that conclusion,” one participant told the researchers.

The team examined three hypothetical scenarios: GPS spoofing, loss of propulsion control in a high-traffic area, and failure of electronic navigation systems in a congested channel at night.

In each scenario, mariners would first focus on keeping the vessel safe, using established procedures to stabilize the ship and troubleshoot its systems. While this response is essential during an emergency, it could delay recognition of an attack if crews do not consider that the system or its data may have been compromised.

For example, a ship navigating a narrow channel depends on accurate location information, but what happens when its navigation systems appear to work normally while a hacker manipulates that data?

An attacker could use GPS spoofing to falsify a vessel’s reported position. If the false position is close enough to the ship’s actual location, a mariner might not notice anything wrong. The vessel could gradually head toward shallow water or another obstacle without triggering an obvious error or alarm.

“By the time the mariner realizes something is wrong, the ship’s size and limited maneuverability could make it too late to avoid a grounding or collision,” said Anna Raymaker, a Georgia Tech Ph.D. student who studies maritime security.

The scenario illustrates a central challenge in maritime cybersecurity: An equipment failure may be easy to recognize, but a cyberattack that provides false information can be much harder to detect.

Batten the Hatches: Cybersecurity with Military Mariners was written by master’s student Ryan Von Brock, Raymaker, Research Scientist Animesh Chhotaray, Associate Professors Frank Li and Saman Zonouz, and Provost & Executive Vice President for Academic Affairs Raheem Beyah.

The research was conducted in Georgia Tech’s Cyber-Physical Security Lab, a collaboration between the School of Cybersecurity and Privacy and the School of Electrical and Computer Engineering. 

Photos by Terence Rushin/College of Computing

New research from Georgia Tech suggests that a simple change to a chatbot’s instructions could reduce that risk. The work was accepted to the ACM AI Letters publication. 

Researchers Lorenzo de la Loza and Vijay Madisetti tested eight AI models in 1,280 experiments involving simulated conversations about delusional beliefs. They found that instructions designed to discourage excessive agreement reduced the models’ confirmation of those beliefs by 73.8%. Adding a self-reflection step increased the reduction to 77%.

“We think that this paper will help AI providers and solution creators better understand how best to protect and safeguard their users from harming themselves,” Madisetti said. “This may make AI safer for all of us.”

AI chatbots are designed to be helpful and supportive. But that behavior can become risky when a chatbot agrees with a user’s beliefs without questioning whether they reflect reality. Researchers call this behavior sycophancy.

Courtney Crooks, a principal research scientist at the Georgia Tech Research Institute and adjunct faculty member in Georgia Tech’s School of Cybersecurity and Privacy, said chatbot conversations can have both positive and negative effects.

People may feel more comfortable discussing difficult thoughts with a chatbot than with another person. But if the chatbot always agrees, users may miss opportunities to question their beliefs or consider other points of view.

The same behavior that makes a chatbot feel supportive, Crooks explained, can also encourage harmful patterns of thinking.

The researchers tested instructions that told AI models not to reinforce users’ beliefs simply to be agreeable. The team evaluated the models using 16 clinically derived scenarios involving delusional beliefs.

The team also tested other safety tools, including systems designed to flag potentially harmful content. The results suggest that changing a chatbot’s instructions can be an effective way to reduce excessive agreement in the scenarios tested.

Crooks called the findings a promising direction for future research combining psychology and AI safety.

The study did not test people in clinical settings or prove that the approach prevents real-world harm. However, it offers developers a potential way to make chatbots more careful when responding to vulnerable users without building an entirely new AI model.

Sivakumar currently serves as Georgia Tech’s vice president of Commercialization and chief commercialization officer, leading the Office of Commercialization. The office serves as the Institute’s central hub for student entrepreneurship, research translation and commercialization, and venture development and scaling, enabling faculty and students to bring new technologies to market. Sivakumar previously served as the founding director of CREATE-X, a Georgia Tech initiative that fosters entrepreneurial confidence and helps students launch real startups. He has also founded and co-founded multiple technology companies and held technical roles in industry. 

In addition to his administrative leadership, Sivakumar is the Wayne J. Holman Chair and professor in the School of Electrical and Computer Engineering (ECE). His research focuses on wireless networking and mobile computing. 

Sivakumar joined ECE in 2000 as an assistant professor. He earned his bachelor’s degree in computer science from Anna University in Chennai, India, and his master’s and doctoral degrees in computer science from the University of Illinois Urbana-Champaign. He is a Fellow of the Institute of Electrical and Electronics Engineers. 

After a grueling, world-class competition, the team won the $4 million first-place prize in August 2025. 

The team has since disbanded. Some members have moved into the corporate world, while others continue in academia. Despite these varied paths, Team Atlanta’s search for breakthrough AI cybersecurity solutions continues.

From AIxCC to Microsoft

Team Atlanta lead Taesoo Kim, principal security researcher Dongkwan Kim, and three other former team members joined Microsoft Security after the competition, where they continue to work on AI and cybersecurity in the Frontier Offensive Research & Generative Exploitation (FORGE) Lab.

The move has given the researchers an opportunity to apply concepts from AIxCC to real-world software. It has also exposed them to challenges that are difficult to replicate in a competition or research lab.

Dongkwan Kim said that team members continue to share what they learned through research papers, reports, software, and benchmarks. At Microsoft, these lessons are tested against real customer code.

This work led to MDASH, Microsoft's multi-agent, multi-model system for vulnerability discovery and remediation. The system uses more than 100 AI agents to search for vulnerabilities, validate potential findings, and help develop fixes.

Rather than asking a single AI model if a piece of code contains a vulnerability, MDASH can examine a problem using multiple agents. The system can also try to create an exploit to determine whether a potential vulnerability is real and reachable.

For Dongkwan Kim and the other former Team Atlanta members at Microsoft, moving from AIxCC to MDASH showed how research can look different when applied to real software.

“AIxCC was not an endpoint for Team Atlanta,” he said. “We continue sharing what we learned through technical reports, papers, open artifacts, and benchmarks for vulnerability discovery and patching.”

Working with customer code introduced new challenges for the Microsoft team. The researchers had to consider security boundaries, existing development processes, how findings would be reviewed, and how vulnerabilities would be prioritized for action.

These challenges created a new feedback loop between research and product development. The team took ideas from AIxCC, test them on real software, learn where they worked and where they fell short, and use those lessons to improve the system.

The experience also showed that AI does not replace the need for cybersecurity experts. Human researchers are still needed to provide context, decide how to break down difficult problems, validate findings, understand attack paths, and determine the potential impact of a vulnerability.

Taesoo Kim, a professor in the School of Cybersecurity and Privacy and vice president of security research at Microsoft, said the competition continues to influence the Microsoft team's work.

“Every single activity that we’ve done at Microsoft was influenced by AIxCC,” he said in a 2026 interview with Microsoft.

The work has continued to grow. In 2026, Microsoft introduced MAI-Cyber-1-Flash, an AI model built specifically for cybersecurity and designed to work with MDASH.

The model is designed to handle many of MDASH's tasks while allowing larger AI models to focus on harder problems. Microsoft reported that replacing 80% of the models used by MDASH with MAI-Cyber-1-Flash increased its performance on the CyberGym benchmark from 88.4% to 95.95%.

The benchmark includes more than 1,500 examples from 188 software projects. Microsoft also reported that the new setup can achieve similar performance at half the cost of the previous MDASH configuration.

“AIxCC has sparked cybersecurity innovation across the globe, from frontier AI companies to small academic labs,” said Taesoo Kim. “It is an incredibly exciting time to be working in AI-driven security engineering and research, as we see AI fundamentally reshape how we find and fix vulnerabilities at scale.”

Continuing the Research at Georgia Tech

The AIxCC experience also continues to shape cybersecurity research at Georgia Tech.

Jiho Kim, a Georgia Tech Ph.D. student who was part of Team Atlanta's research efforts, said one of the biggest lessons he’s brought back to campus was learning how AI and traditional security tools can work together.

One of these tools is fuzzing. Fuzzing tests software with large numbers of inputs to detect unexpected behavior or security problems. Large language models (LLMs), meanwhile, can reason about code and help guide the search.

During the AIxCC competition, the Team Atlanta combined these ideas in CtxFuzz, a system that uses an LLM to help guide fuzzing toward parts of software that may contain vulnerabilities.

The research was submitted to the ACM/IEEE International Conference on Automated Software Engineering, where it received the ACM Distinguished Paper Award.

“Since AIxCC, we’ve continued building on some of the core findings from our two-year journey with Team Atlanta,” Jiho Kim said.

“One of the biggest lessons for us was understanding how LLMs and traditional fuzzing can work together in a mutually beneficial way, using each to overcome the limitations of the other and ultimately find more and deeper vulnerabilities.”

The researchers also wanted to make the lessons from AIxCC useful to other cybersecurity researchers.

They created an Open-Source Cyber Reasoning System Framework (OSS-CRS) and CRSBench, which provides researchers and security professionals with ways to use, test, and build on technology developed through AIxCC.

“We’ve also been focused on making the results of AIxCC useful to the broader security community,” Kim said. “We created OSS-CRS and CRSBench so that researchers and practitioners can more easily use, reproduce, and build upon the capabilities and lessons from our AIxCC work.”

The team's research has also moved beyond identifying vulnerabilities. Researchers are studying how well AI models can understand and reason about computer code.

Jiho Kim and his lab mates in the Systems Software & Security Lab developed COIN, a benchmark designed to test how well LLMs can reason about code. The work has been accepted to the 2026 Conference on Empirical Methods in Natural Language Processing.

The Georgia Tech researchers are also developing additional benchmarks to study the various types of reasoning required for cybersecurity. They are using what they learn to create new datasets and methods for training AI models focused on cybersecurity.

“We’re using what we learn from these benchmarks to train cybersecurity-focused models through new datasets and training methodologies,” Jiho Kim said.

Photos by John Popham/College of Computing

Hosted at the Georgia Tech Kendeda Building for Innovative Sustainable Design, the workshop was organized by a committee of researchers and practitioners from across the macro-energy systems community. The committee was chaired by Micah Ziegler, assistant professor in the School of Chemical and Biomolecular Engineering and the Jimmy and Rosalynn Carter School of Public Policy. 

The two-day workshop brought together more than 130 participants and featured lightning talks, poster presentations, interactive learning sessions, and keynote addresses that strengthened connections across the macro-energy systems research community.

“The energy challenges facing society today are increasingly interconnected, and solving them requires a systems-level perspective,” said Christine Conwell, director of planning and operations at the Georgia Tech Strategic Energy Institute. “Supporting events like the MES Workshop, which provides a unique space for academic collaboration and knowledge sharing, aligns with the Strategic Energy Institute’s commitment to advancing research and workforce development that support more resilient and effective energy solutions.”

The workshop received financial support from the Alfred P. Sloan Foundation, which supports research and education in science, technology, engineering, math, and economics. Through its Energy and Environment program, the foundation helps advance interdisciplinary research and collaboration across the macro-energy systems field.

“The Macro-Energy Systems Workshop has become a significant forum for interdisciplinary energy systems researchers to share and discuss their work,” said Evan Michelson, director of the Alfred P. Sloan Foundation’s Energy and Environment program. “We were especially glad to help ensure participation from early-career researchers spanning a wide range of institutions, providing them access to the collaborations and conversations that will help them develop as scientists.”

Graduate students and postdoctoral scholars played a central role in this year's workshop, presenting research on energy system planning, grid reliability, technology deployment, energy transitions, and policy. Their sessions gave the early-career researchers opportunities to share new approaches to studying large-scale energy systems, interact with faculty and industry experts, refine research ideas, and build collaborations beyond their home institutions.

“This year, we significantly expanded the MES Workshop to include more early-career scholars,” said Ziegler. “The workshop provides a great opportunity for young researchers to develop ideas, connections, and a better understanding of how to design research to have a positive impact on the world.”

The workshop also featured keynote presentations from Kelly Sanders, professor of civil and environmental engineering at the University of Southern California, and Erin Mayfield, assistant professor at Dartmouth College's Thayer School of Engineering. Both speakers discussed insights from their experience contributing to policymaking and highlighted opportunities for energy systems research to inform policy decisions.

Interactive sessions led by Michelle Graff, assistant professor in the Georgia Tech Jimmy and Rosalynn Carter School of Public Policy encouraged participants to consider how macro-energy systems research can more effectively inform and support policymakers and other decision-makers. Graff developed and facilitated the sessions, with support from Morgan Edwards, assistant professor of public affairs from the University of Wisconsin-Madison, and Micah Ziegler. The first session explored how researchers can identify policy windows and position their work to inform decision-making at the right time. The second focused on matching research to the appropriate audiences and jurisdictions, highlighting opportunities to inform policy at the state and local levels.

October is Campus Sustainability Month, an international celebration of sustainability in higher education. Georgia Tech will host sustainability-focused events all month long to engage and inspire students and the entire campus community, showcasing the Institute’s commitment to responsible stewardship. 

The Institute rose three places to No. 29 among national universities and three places to No. 6 among public national universities. It also moved from No. 108 to No. 39 among Best Value Schools, a 69-place rise and the largest year-over-year improvement among Georgia Tech’s listed rankings. 

Georgia Tech also ranked No. 5 in the new Best Value Schools for the In-State Students category. 

“At a time when students and families are asking important questions about the value of higher education, Georgia Tech continues to demonstrate that world-class academic quality and affordability can go hand in hand,” said Georgia Tech President Ángel Cabrera. “Our rise among the nation’s top universities and our strong performance in value rankings reflect our commitment to delivering an education that creates opportunity, drives innovation, and creates lasting impact for our students ​and our communities.”

Engineering Reaches No. 2

Georgia Tech’s undergraduate engineering program rose one place to No. 2 nationally, tied with Stanford University and the University of California, Berkeley. Every ranked Georgia Tech engineering discipline remains in the top five nationally. 

Civil engineering moved into the No. 1 position, joining environmental engineering and industrial and systems engineering at the top of their respective disciplines. The Institute now holds three No. 1 undergraduate engineering rankings. 

Other top engineering program rankings include:

• Mechanical engineering rose two places to No. 2.
• Materials engineering moved to No. 2 (up from No. 3).
• Computer engineering advanced to No. 5 (up from No. 6). 
• Aerospace engineering at No. 2.
• Chemical engineering at No. 2.
• Electrical engineering held at No. 3.
• Biomedical engineering at No. 2. 

Computing Maintains Top-Five Standing

Georgia Tech’s undergraduate computer science program held at No. 5 nationally, tied with Princeton University and the University of Illinois Urbana-Champaign. Six ranked computing specialties placed among the nation’s top 10. 

Cybersecurity remained No. 2, software engineering held at No. 3, and artificial intelligence and data analytics/science each ranked No. 5. Computer systems advanced one place to No. 6, while theory remained No. 10. 

Scheller Business Programs Show Continued Strength

Georgia Tech’s undergraduate business program ranked No. 20 nationally, remaining among the country’s top 20 programs. Business analytics and management information systems each ranked No. 3. Quantitative analysis rose to No. 4, while production and operations management and supply chain management both maintained at No. 6. Finance advanced four places to No. 30.

Teaching and Hands-On Learning Advance

Georgia Tech climbed seven places to No. 14 for Best Undergraduate Teaching, entering the top 20. The Institute also remained No. 3 among the nation’s Most Innovative Schools. 

Experiential learning continues to distinguish the undergraduate experience. Georgia Tech ranked No. 4 for internships and co-ops, No. 12 for senior capstone experiences, and No. 14, up from No. 19, for undergraduate research and creative projects.

*Please note that this summary includes the latest rankings issued by U.S. News & World Report. Not all Georgia Tech Colleges, Schools, and subjects are ranked every year by this organization.

For the fourth year, Georgia Tech has retained its No. 1 ranking on the Princeton Review’s list of the Top 50 Best Value Colleges (Public Schools), which measures universities’ return on investment (ROI). The Institute earned the top spot with a ROI score of 95 out of 99, factoring in academic rating, financial aid offerings, and overall college costs.  

Those conversations led Raymaker to focus her research on maritime security, including vulnerabilities in the Automatic Identification System (AIS), which ships use to broadcast their location, speed, and course.

This summer, Raymaker brought this research to Massachusetts Institute of Technology (MIT) Lincoln Laboratory, where she built a test bed to study AIS security in a controlled environment. The experience has also led to new research questions, from the security of shipboard Starlink connections to autonomous vessels and other maritime technologies.

We spoke with Raymaker about her research, her experience at Lincoln Laboratory, and what she hopes to investigate next.

What will you be working on at the MIT Lincoln Laboratory next?

After submitting our paper based on this summer’s work to a cybersecurity conference, we are continuing our collaboration and starting a new project to identify critical infrastructure that uses unique protocols. The project is still in the early stages of planning and design, but I’m excited to continue working with the team.

What was the biggest challenge you faced while building and testing the AIS security testbed, and how did you work through it?

The biggest challenge was getting equipment designed to be installed and operated on a boat to function properly in a lab setting. That meant using a Faraday cage so that our AIS transmissions and security experiments wouldn’t accidentally broadcast to nearby ships or interfere with real maritime traffic. I also had to simulate GPS signals and set up additional hardware to trick the AIS transponders into thinking they were operating on a real vessel. Putting all those pieces together into a safe, realistic test bed was challenging, but it ultimately let us study the equipment in a controlled environment.

You mentioned the collaborative culture at Lincoln Laboratory. Can you share a specific interaction or experience with a researcher there that had an impact on you or your work?

Working with Hamed Okhravi, a senior staff member at Lincoln Laboratory, was an amazing experience. He was my mentor and consistently went out of his way to connect me with people who could help me find datasets, access equipment, or get the lab space I needed for my work. For example, when I realized I needed a Faraday cage for my experiments, he connected me with the Mobile Device Lab and helped me get access very quickly. The lab manager was also immediately willing to let me use the space and equipment. That experience really reflected the culture I saw throughout Lincoln Laboratory. Everyone genuinely wanted to help each other get what they needed to move their research forward.

How did Georgia Tech prepare you for the work at Lincoln Laboratory, and did the internship change how you think about your research or future career?

My experience at Georgia Tech was instrumental in preparing me for my work at Lincoln Laboratory. The way I was taught to think through difficult research problems and work independently toward solutions translated well to a large research lab. I was able to hit the ground running and take ownership of a project because Georgia Tech had prepared me to lead research independently. The internship also gave me valuable experience in a research environment outside academia, which broadened my perspective on how I could pursue research in the future.

You’ve said you want to work through the cybersecurity problems mariners have shared with you “one by one.” Which problem do you most want to tackle next, and why?

Next, I’d love to look at Starlink connectivity for ships or for autonomous shipping. Mariners we’ve spoken with have raised concerns about both. With Starlink and increasingly autonomous vessels, they worry that greater remote connectivity could give attackers new ways to access onboard systems and disrupt ship operations. I think those concerns are worth investigating.

We recently had a paper accepted at CCS that examines exposed solar distributed energy resources, and I think applying a similar perspective to exposed maritime equipment could be very interesting. That paper is available here.

We also recently had a paper on measuring GPS spoofing of ships accepted at IEEE S&P. The full paper isn’t online yet, but the project was directly motivated by mariners telling us that they were struggling with GPS spoofing. That made me want to find a way to systematically measure where spoofing was occurring. 

Ultimately, the goal is to turn that kind of research into something useful for mariners, such as warning them when they are entering an area experiencing spoofing or when their own vessel may be affected and they should no longer trust their GPS. That is the kind of research I’d like to continue doing: listening to the problems mariners are actually experiencing and finding ways to investigate and address them.

Photos by Kevin Beasley and Terence Rushin/College of Computing

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

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

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

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

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

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

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

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

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

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

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

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

As many organizations and businesses are turning to AI to improve workplace efficiency, risk remains high. Between overlooked footnotes and misread graphics, small mistakes can have expensive consequences. 

To address this challenge, researchers from Georgia Tech and J.P. Morgan developed SlideAgent. The new framework helps large language models (LLMs) better understand complex visual documents like presentation slide decks, brochures, and reports. 

SlideAgent works by breaking documents into multiple levels, allowing the model to analyze both the big picture and the fine details. This human-inspired approach leads to more accurate and reliable interpretation than existing systems. 

Beyond improving workplace tools, SlideAgent also points to a broader shift in AI. Instead of building only larger and more powerful models, the work shows how smarter design and more efficient reasoning can improve performance. 

“Multimodal LLMs such as GPT, Gemini, and Claude, can save people time and reduce the mental effort required to understand these documents, but they remain imperfect,” said Yiqiao (Ahren) Jin, a Ph.D. candidate in Georgia Tech’s School of Computational Science and Engineering (CSE).

“In high-stakes fields such as finance, for example, misreading a number, overlooking a footnote, or making an incorrect comparison across pages could affect reporting, risk assessment, or strategic decisions.” 

The researchers tested SlideAgent on a wide range of real-world documents, including financial presentations, technical slides, and visual question-answering datasets. 

The system consistently outperformed leading commercial models and open-source tools throughout the evaluation. In some cases, it improved accuracy by up to 10%. The gains were especially strong on more complex tasks, such as comparing information across slides or understanding how visuals relate to each other on a page.

“We found the results very encouraging. SlideAgent reaches an improvement of 7.9% over its proprietary base model and 9.8% over the evaluated open-source base models,” said Jin, the project’s lead researcher. 

“These are meaningful gains given the strength of the underlying multimodal models and the difficulty of the tasks.” 

Current multimodal AI systems often process entire pages at once. This approach can lead to mistakes, such as miscounting items in a chart or overlooking important details in dense visuals.

SlideAgent addresses this by mimicking how people read documents. Instead of treating each page as a single unit, the system looks at information at three levels: the full document, individual pages, and specific elements like charts, tables, and text blocks.

A network of agents, each specialized for a specific level, divides and coordinates analysis. Then, SlideAgent combines outputs to build a structured understanding of the overall document. This allows it to answer questions more accurately and reason across multiple pages.

“The central inspiration was how people naturally read a long presentation,” Jin said.

“We first develop an understanding of the overall narrative, then identify the relevant pages or sections, and finally zoom in on individual charts, tables, or text blocks when precise evidence is needed.”

The work highlights a growing challenge with AI. As systems become more popular and more powerful, users increasingly discover the technology’s limitations. This is especially true for real-world tasks that require structured reasoning and contextual understanding.

SlideAgent shows that better performance does not always come from building bigger models. Instead, it points to smarter ways of organizing how AI processes information that can lead to improvement.

The Association for Computational Linguistics (ACL) accepted SlideAgent for presentation at its annual meeting. The 64th ACL 2026 meeting took place July 2-7 in San Diego.

ACL is a scientific and professional organization for researchers in natural language processing (NLP). Its namesake conference is one of the world’s leading venues for presenting NLP research.

ACL 2026 followed a year after Jin completed an internship at J.P. Morgan AI Research, where he worked on SlideAgent. He interned under Rachneet Kaur, Zhen Zeng, and Sumitra Ganesh, all co-authors of the paper. School of CSE Associate Professor Srijan Kumar advises Jin at Georgia Tech.

Along with SlideAgent, Jin authored two other papers accepted at ACL 2026.

“Conferences such as ACL are valuable not only for sharing results, but also for refining future project ideas with the broader community. Discussions across institutions and research areas can reveal limitations, suggest new evaluations, and spark collaborations that are difficult to develop in isolation,” Jin said.

“For SlideAgent, I was particularly interested in feedback on how we can make the framework more computationally efficient without sacrificing accuracy or interpretability.”

Georgia Tech continues to invest in the evolution of its campus, creating spaces that foster innovation, sustainability, and accessibility. This update provides an overview of recent project milestones, upcoming activities, and the ways these efforts support the Institute’s long-term vision for growth and excellence.  

Before a promising new therapy can reach a patient, researchers need to answer a deceptively simple question: Will it work? 

And, for some, the rent rises.

Long after a natural disaster fades from the headlines, economic aftershocks can still push people out of their communities, not because their homes were destroyed, but because they can no longer afford to remain there.

A new Georgia Tech-led study found that rents were 6.5% to 12.5% higher than expected four years after a disaster. Similar communities that weren’t hit did not see the same jump.

Brian An, an associate professor in the Jimmy and Rosalynn Carter School of Public Policy within the Ivan Allen College of Liberal Arts, and his team studied two decades of rental housing data and federal disaster records from California and Florida. 

“We often think of housing as a market that will sort itself out,” An said. “But a natural disaster is not a normal market condition. Housing is destroyed. People are displaced. In those moments, renters can become especially vulnerable.”

After a disaster, the housing market’s usual rules no longer apply. Damaged apartment buildings mean reduced supply. Displaced homeowners enter the rental market while their homes are repaired or rebuilt. Construction, repairs, and insurance all get more expensive.

The largest rent increases followed hurricanes and wildfires more than earthquakes, flooding, and tornadoes. For communities hit repeatedly, each new storm or fire added more rent pressure. 

More Demand, Less Room

“When rents go up after a disaster, we're not talking about a small segment of housing,” An said. “We're talking about the broader rental market. That means the effects reach far beyond the homes that were damaged.”

For renters, the consequences extend beyond monthly housing costs. Higher rents can make it harder for families to remain close to support networks. Children may have to change schools. Workers may face longer commutes. Longtime residents can find themselves priced out of communities they helped build.

The findings point to a central tension in disaster recovery: Rebuilding homes is not the same as keeping communities intact.

A Different Path Home

Not every community experienced the same outcome.

Areas that received federal support through Community Development Block Grant Disaster Recovery (CDBG-DR) funds saw smaller rent increases than similar communities that did not. The money can be used to build and preserve affordable rental housing, giving residents more options as their communities recover.

An said the study cannot prove that funding alone caused rents to rise more slowly. But the pattern suggests that recovery resources may shape who can afford to stay in a community once rebuilding begins.

Rebuilding Lives, Not Just Homes

As communities face repeated hurricanes, wildfires, and other disasters, An believes policymakers need to think differently about recovery. That could mean investing in more resilient housing, expanding affordable rental options, and strengthening protections for renters after disasters strike.

“Everyone needs a place to live,” An said. “As disasters become more frequent, housing can't be an afterthought in recovery.”

An’s research is published in The Russell Sage Foundation Journal of the Social Sciences.

Upon returning to Georgia Tech, Phute reflected on her summer internship and what it taught her about the evolving relationship between research and industry.

Student: Mansi Phute

Research Interests: Machine learning (ML) robustness and artificial intelligence (AI) safety

Degree Program: Ph.D. in Computer Science

Faculty Advisor: School of CSE Professor and Associate Chair Polo Chau

2026 Internship: International Business Machines (IBM), San Jose, California

What about IBM interested you in applying for and accepting an internship there?

IBM is often at the forefront of AI safety, my field of interest, and has a culture that encourages exploratory and fundamental research. I felt this would give me a closer look at cutting-edge industry approaches without compromising on my research interests or my progress toward my thesis.

How well did your coursework and experience at Georgia Tech prepare you for your IBM internship?

My experience at Georgia Tech was very helpful in preparing me for IBM. My coursework and other academic experiences certainly transferred over, but I believe that the wide range of people I met during those courses and what I learned from them helped me connect and relate strongly with people at IBM. Being conversant in different fields of research really helped me interact better with IBM coworkers and feel comfortable in a new environment.

What did you work on while interning at IBM?

I worked on IBM’s AI Foundations team, focusing on the security of multimodal agent communication during my internship. This is an important problem as we see an increase in agents applied in many use cases. It was also closely aligned with my research interests of AI safety.

Do you have a favorite memory or remarkable achievement from your internship?

One of my favorite moments was presenting my work to a broad, cross-team audience of technical and non-technical members. Afterward, my manager told me I was good at explaining my research to people with varying levels of familiarity with the domain. This feedback meant a lot to me because communicating clearly across different audiences is a skill I've deliberately worked to improve. So, hearing that the effort was paying off was very rewarding.

Overall, how helpful was this internship toward your studies at Georgia Tech and your career as an aspiring researcher?

This internship was very valuable for my development as an aspiring researcher. I worked alongside accomplished people in the AI safety field on projects that aligned closely with my research interests. I also saw how those same projects connect to a company's broader business priorities, a perspective that isn’t easily available in academic settings. I shared many fruitful discussions with people working in safety, policy, and alignment, which gave me a much clearer sense of how industry approaches these issues compared to the more academic-oriented framing I am used to.

Based on what you learned during your internship, how important is private industry in progressing research and scientific discovery?

Working in private industry was a fascinating experience. I come away believing that industry plays an important role in advancing research, especially in AI, where companies have access to computing resources that are less prohibitive than in academic environments. I also think that because private industry has a strong hand in implementing and deploying research, understanding industry priorities can help us frame and design our research in ways that complement industry applications. This ensures research has a bigger impact, particularly in the domain of ML safety and reliability.

This summer, M.S. student Joey Cuthbert contributed to this mission through an internship at the Air Force Research Laboratory (AFRL). Upon returning to campus, Cuthbert reflected on his internship and what he learned working alongside researchers in government and the defense community.  

Student: Joey Cuthbert

Research Interests: Machine learning (ML), model-based systems engineering

Degree Program: M.S. in Computational Science and Engineering, home unit in H. Milton Stewart School of Industrial and Systems Engineering

2026 Internship: Sensors Directorate Internship Program with Air Force Research Laboratory (AFRL) and the National Air and Space Intelligence Center (NASIC), Beavercreek, Ohio

What about AFRL interested you in applying for and accepting an internship there?

The Sensors Directorate Internship Program (SDIP) provided a unique opportunity to work alongside mentors from AFRL and NASIC on a defense-related research project over a 14-week internship. This aligned with my desire to work on applied ML research in the defense sector and allowed me to better understand the ins and outs of government and government-contracting work. The program provided competitive pay and housing throughout the program, which was a huge plus for me.

How well did your coursework and experience at Georgia Tech prepare you for your AFRL internship?

My experience and coursework at Georgia Tech helped me a great deal this summer. I believe my understanding of ML has greatly improved over the past two semesters, which helped me complete my internship project. All of my experiments ran on high-performance computing (HPC) systems, and I felt I had a head start since I completed an HPC class last spring. 

What did you work on while interning at AFRL?

I worked on an image-classification robustness project for convolutional neural networks (CNNs) using synthetic aperture radar (SAR) data. I built a robustness benchmark by testing a model against nine types of noise, and used it to show how we can effectively increase robustness by inducing shape-bias in the model during training. 

Do you have a favorite memory or remarkable achievement from your internship?

During the summer, we went on a tour of nearby Wright-Patterson Air Force Base, where we visited the sensors directorate buildings and checked out some of their labs. I also received the best poster presentation award among approximately 40 interns. 

Overall, how helpful was this internship toward your studies at Georgia Tech and career as an aspiring researcher?

This program provided great strides toward my research career goals. My coursework has provided a great foundation in ML, and I was able to apply this knowledge to a project. The internship offered me lots of autonomy, as well as time to explore different paths to find results. 

From what you learned on your internship, how important are government agencies in progressing research and scientific discovery?

I believe government agencies are massively valuable in advancing research and scientific discovery, especially within the defense sector. All work at AFRL has the goal of giving warfighters the greatest advantage possible. This often entails looking 10 to 20 years into the future of science and technology and trying to get there as fast as possible. 

The internship provided Burnett with valuable insight into national laboratory research and reinforced skills he developed through his studies at Georgia Tech. When he returned to campus, we asked Burnett to share more about his internship and what he learned.

Student: Tage Burnett

Research Interests: Fusion energy, computational plasma physics, high-performance computing, and structure-preserving machine learning

Degree Program: Ph.D. in Computational Science and Engineering

Faculty Advisor: School of CSE Assistant Professor Qi Tang

2026 Internship: Oak Ridge National Laboratory, Oak Ridge, Tennessee

Many people are unfamiliar with national laboratories, like ORNL. Could you explain the purpose of these institutions and why they are important?

The Department of Energy (DOE) national laboratories are responsible for moving forward science and technology in the United States and solving high-consequence challenges in science, energy, and national security. They work on both applied and theoretical research with both short-term and long-term returns. ORNL has eight core research areas: biology and environment, energy science, fusion and fission, isotopes, physical sciences, national security, neutron science, and supercomputing. I was an intern in the supercomputing division.

How well did coursework and experience at Georgia Tech prepare you for your ORNL internship?

My coursework at Georgia Tech was vital in my preparation for this internship. I wrote highly parallel code where I leaned heavily on what I learned in CSE 6220: High-Performance Computing. I also worked on numerical methods which required an understanding of partial differential equations and numerical linear algebra which I also learned at Georgia Tech from classes like CSE 6643: Numerical Linear Algebra and a space plasma physics course.

What did you work on while interning at ORNL?

At ORNL, I was a developer on the Adaptive Sparse Grid Discretization (ASGarD) codebase. The code uses adaptive sparse grids and the Discontinuous Galerkin method to beat the curse of dimensionality and solve high-dimensional partial differential equations (PDEs). The code is designed to simulate fully kinetic plasmas in up to 6-dimensional phase space. My project was to implement an iterative method to solve the efficiently solve the Poisson equation within the codebase. This project gave me hands on experience with linear algebra, numerical PDEs, parallel computing and software engineering which was invaluable to my development as a CSE researcher.

Do you have a favorite memory or remarkable achievement from your internship?

My favorite memory from my internship was spending time with the other ORNL interns outside of work. There was an amazing group of interns at ORNL, and it was great getting to know them. One particularly good memory was when we went out to a restaurant with live music and played laser tag during our last week of the internship to celebrate our time at ORNL. The achievement I am most proud of was getting a working, highly efficient version of the Poisson solver into ASGarD. The ASGarD codebase is open source, so I hope other plasma physics researchers will use the code and find it helpful for their research.

While interning, you were selected for a GEM Fellowship, which Georgia Tech and ORNL nominated you for. What does this fellowship mean to you and is there anything you would like to say to your supporters?

To me, receiving the GEM Fellowship indicates that other people recognize the hard work I am doing, and they believe in my ability to meaningfully contribute to the field. Having this support from GEM, ORNL, and Georgia Tech gives me greater confidence in myself and my potential and inspires me to put my all into my work. I would like all my supporters to know that I am so grateful for the opportunity you have given me to be a part of the excellent community of researchers within GEM, ORNL, and Georgia Tech. I will do my very best to make your support worthwhile!

Overall, how helpful was this internship toward your studies at Georgia Tech and career as an aspiring researcher?

The internship was extremely important to both my studies at Georgia Tech and my career as a researcher. The hands-on experience I gained is irreplaceable and it helped me to apply all the skills I have developed throughout my education. I am also optimistic that the internship will open doors for me when I am seeking a job post-graduation.

The ribbon-cutting ceremony marks the completion of a project years in the making. The facility brings together the H. Milton Stewart School of Industrial and Systems Engineering and the Scheller College of Business in a shared environment designed to encourage collaboration among students, faculty, researchers, entrepreneurs, and industry partners. 

The building reflects Georgia Tech’s belief that many of the challenges facing Georgia and the nation require expertise from multiple fields. From advanced manufacturing and artificial intelligence to healthcare, supply chains, and entrepreneurship, the next generation of leaders must understand both technology and business — and know how to work across disciplines. 

The project was made possible through support from the state of Georgia and the extraordinary generosity of Georgia Tech alumni and their families: Bill and Penny George, Ernest “Ernie” Scheller, and H. Milton “Milt” Stewart and Carolyn Stewart. Their leadership investments, along with the support of many other donors who contributed to the facility, reflect a shared commitment to generations of engineers, business leaders, entrepreneurs, and innovators who will help shape Georgia’s future. 

“People will notice the striking architecture, the classrooms, and the technology inside the new towers,” said Georgia Tech President Ángel Cabrera. “What matters most is what that design enables — the learning and exchange of ideas between students, the multidisciplinary collaborations between engineering and business faculty, and the support of innovation and entrepreneurship at the heart of Tech Square. We are grateful to the Georges, the Schellers, the Stewarts, and all our donors for their truly transformative investment, which will make our signature innovation district even more vibrant.”  

Located in the heart of Tech Square, George Tower | Scheller Tower strengthens connections between Georgia Tech and the companies, startups, researchers, and entrepreneurs that make Atlanta one of the nation’s leading innovation communities. By bringing education, research, and industry closer together, the building creates more opportunities for ideas to move into the marketplace and benefit communities across Georgia and beyond. 

The building also reflects the kind of engineering Georgia Tech teaches. Designed for the next 50 years, George Tower | Scheller Tower incorporates advanced systems and sustainable design strategies that significantly reduce energy and water use, lower environmental impact, and create efficient, flexible spaces for learning and collaboration. The project recently earned LEED Platinum certification, the highest level awarded by the U.S. Green Building Council, and a 4 Peach rating, the highest rating through the Georgia Peach Green Building Rating System administered by the Georgia State Financing and Investment Commission. The Georgia Peach Program recognizes state-owned and state-managed buildings that demonstrate excellence in energy efficiency, sustainable construction, environmental stewardship, and resource conservation. 

George Tower | Scheller Tower represents more than an investment in Georgia Tech. It is an investment in Georgia — one that will pay dividends through the talent, discoveries, and partnerships created here for generations to come. 

Ahmadi and Brown find that neighborhoods with higher shares of Black residents experience higher energy burdens, even after accounting for factors such as income, renter status, and housing characteristics. In this study, energy burden refers mainly to the share of household income spent on electricity, gas, and water. The authors estimate that an approximately 11 percentage-point increase in a neighborhood’s Black population share is associated with about a 1 percentage-point increase in household energy burden, equal to an average annual increase of about $785 in utility costs. These findings suggest that unequal energy burdens are tied not only to household finances, but also to the lasting effects of segregation and discrimination. 

Read Full Story on the EPIcenter Page

When Chevron reported its highest quarterly profit in six years on July 31, 2026, it was just one detail in a larger picture: Analyst firm Wood Mackenzie estimates the global oil and gas industry is on course for a cash windfall of US$495 billion in 2026. That’s profit above and beyond what the industry expected before the U.S.-Israel war with Iran began.

Three separate bills seeking to tax those profits are now in Congress, and President Donald Trump has even said the oil companies are “making too much money.”

As an applied microeconomist, I am often asked how taxes affect economic activity. Economists have long held a more nuanced view of windfall taxes than either side of the current debate suggests. Advocates often make overly optimistic revenue projections, and opponents often overstate how much such a tax might discourage investment. A 1980s U.S. windfall-tax experiment is instructive on both counts.

Read Full Story on The Conversation

Continuing to earn distinction for its academic strength and providing a strong return on investment, Georgia Tech is the No. 5 public school (No. 27 overall) on Forbes’ 2027 list of America’s Best Colleges. 

Despite decades of research, the chaotic nature of turbulence makes it difficult to predict and control. This challenge impedes more than smoother air travel. Solving the turbulence problem could lead to advances in areas ranging from sustainable energy to training a smarter workforce for the era of artificial intelligence (AI).

To advance understanding of turbulence, the National Science Foundation is establishing a new, $30 million Science and Technology Center (STC) at Michigan State University. Georgia Tech is among eight universities supporting the center.

Assistant Professor Qi Tang will join the STC for Transformative Explorations in Multi-Physics and Engineering of Scientific Turbulence (TEMPEST). TEMPEST, launching on Sept. 1, aims to build trustworthy, predictive models of real-world turbulence. 

Tang will lead TEMPEST’s modeling and scientific machine learning (ML) efforts. NSF will fund Tang and Georgia Tech with over $1 million from the center’s five-year, $30 million award.

By understanding and predicting turbulence, TEMPEST can unlock new applications, with a focus on fusion energy and national security. The center will also generate long-term research projects with applications in air and space flight, manufacturing, chemistry, and broaden science education and AI fluency.

“Turbulence has resisted prediction for a century,” said Tang, a faculty member in the School of Computational Science and Engineering (CSE).

“STC TEMPEST aims to develop a unified, predictive science that advances fusion energy, improves hypersonic technologies, and deepens our understanding of how stars created the elements that make up our world and ourselves. For everyday people, the center points toward abundant clean energy and faster, more efficient flight."

Turbulence is the motion of a fluid characterized by chaotic changes in pressure and speed. Turbulent flows can occur across all scales, from interactions between subatomic particles to astrophysical scales, including supernovas, black holes, and cosmic rays. 

While turbulent flows are common and occur naturally, scientists still do not fully understand them. Small changes in a turbulent flow can produce dramatically different outcomes. Combined with the countless interactions across multiple scales of time and space, this makes turbulence extraordinarily difficult to predict.

“Rather than studying individual pieces of this enormously complex problem in isolation, we are bringing together theory, experimentation, computation and artificial intelligence to develop a deeper understanding of turbulence across scales,” said Michael Murillo, an MSU professor and the director of TEMPEST. 

“Our goal is not simply to understand turbulence better, but to make it predictable and controllable in ways that will enable new technologies and scientific discoveries.”

The NSF TEMPEST award supports students and researchers at Michigan State University, Auburn University, Baylor University, Georgia Tech, San José State University, Texas A&M University-Corpus Christi, University of Rochester, and Yale University to combine theory, computation, AI techniques, and experimentation to build trustworthy predictive models of real-world turbulence for high-consequence applications.

Additional partners include Los Alamos National Laboratory, Sandia National Laboratories, Lawrence Livermore National Laboratory, Pacific Fusion, and General Atomics.

Together, TEMPEST researchers will build more accurate and reliable physics-grounded models. The center will test new ideas against real-world observations, then use those results to refine the models. 

Tang contributes expertise in ML, scientific computing, and plasma physics to STC TEMPEST. 

Earlier this year, Tang received an Early Career Research award from the Department of Energy’s Office of Science. He is using the award to build ML and data science tools that help scientists analyze massive datasets from fusion experiments and simulations.

This interdisciplinary approach is intended to move science from understanding why turbulence behaves as it does to predicting how it will behave. Through prediction and simulation, scientists could eventually engineer solutions to control turbulence in real-world scenarios.

The center will make its data and software broadly available and engage the public through museum exhibitions, immersive media, and educational programs that are expected to reach more than 10,000 K-12 students annually. TEMPEST will also help train an AI-fluent scientific workforce prepared to tackle complex problems across disciplines.

“One reason I am excited to work in TEMPEST is because it aligns perfectly with our School of CSE mission. As a discipline, CSE complements theory and experimentation as a mode of scientific discovery,” Tang said. 

“We build computational models to simulate scientific and engineering concepts, like turbulence in this case, so that we can test theories that are too difficult, expensive, or risky for physical experiments.”

Maintaining campus buildings often means identifying problems before they become visible. Georgia Tech’s Planning, Design, and Construction department is piloting an innovative building envelope assessment at Lyman Hall that uses drone-mounted infrared technology to detect hidden moisture intrusion and potential building performance issues.  

As Georgia Tech President Ángel Cabrera delivered his final Institute Address from the Walter G. Ehmer Theater inside the John Lewis Student Center, he emphasized that the end of his tenure is not the end of a race but rather the next leg of a relay. As he prepares to pass the baton to the next president, he outlined Tech’s unprecedented momentum.  

Georgia Tech researchers spent two years helping to answer that question through DARPA’s AI Cyber Challenge (AIxCC), a competition designed to test whether AI could identify and fix security vulnerabilities in real-world software.

Now, they are sharing what they learned with the cybersecurity community.

Their paper, SoK: DARPA’s AI Cyber Challenge (AIxCC): Competition Design, Architectures, and Lessons Learned, was presented at USENIX Security 2026, one of the world's leading cybersecurity conferences. The paper was selected as a runner-up for the conference’s distinguished paper award, placing it among 36 recognized papers from 362 accepted papers out of 3,028 submissions.

The paper examines how the seven finalist teams approached the competition and what the results reveal about the future of AI-powered cybersecurity.

Putting AI to the Test

AIxCC challenged teams to build Cyber Reasoning Systems (CRSs) that could operate with minimal human assistance to identify software vulnerabilities, develop fixes, and determine whether security alerts were real threats.

The teams had 143 hours to analyze 53 software projects during the final competition.

Georgia Tech’s Team Atlanta, which won the competition, used an approach that combined multiple AI agents with traditional security tools. Other teams used different approaches, including applying AI for specific tasks or building highly autonomous AI agents.

The variety of systems provided researchers with a rare opportunity to compare different approaches to AI-powered cybersecurity.

Lesson from the Competition

One of the biggest lessons was that reliability matters as much as intelligence.

Some systems were highly capable but struggled to remain operational while analyzing large, complicated software projects. The strongest systems were often those that could work reliably throughout the competition.

The researchers also found that AI and traditional security tools have different strengths. Traditional tools were still effective at finding common bugs, while AI performed better at reasoning through more complex problems.

However, AI-generated fixes remain a major challenge.

Researchers found that 38% to 46% of AI-generated patches were semantically incorrect. This means a patch might stop a security problem but also break a feature or create another problem.

The results show that AI can play an important role in cybersecurity, but human experts are still needed to verify the safety of AI-generated fixes.

Sharing the Lessons

Cen Zhang, the paper’s first author, said the research offers a unique look at the competition by combining lessons from the finalist teams, organizers, and DARPA’s data.

“This paper provides a unique angle on how AIxCC was designed, the techniques teams used, and what the scores reveal and conceal,” Zhang said.

Jiho Kim presented the paper at USENIX Security 2026. He said the presentation was an opportunity to share lessons from two years of work with the broader cybersecurity community.

“Seeing the strong interest and thoughtful questions from the audience made the experience particularly rewarding,” Kim said.

The researchers say they hope the lessons from AIxCC will help guide the next generation of cybersecurity tools.

Georgia Tech is hosting the 2026 MFEM (Modular Finite Element Methods) Community Workshop, Sept. 22-25. MFEM supports research in computational physics, earth systems modeling, engineering, energy, and other fields. 

The four-day workshop is being held at the Georgia Tech Global Learning Center and will focus on improving software for scientific computing and discovery. Participants can also attend online. Registration for the workshop is open through Sept. 11. 

“We're very excited and grateful for the opportunity to have this workshop at Georgia Tech,” said Tzanio Kolev, a computational mathematician at Lawrence Livermore National Laboratory (LLNL).

“Georgia Tech has a great reputation in our field, and hosting at universities is a great way to connect with students. We see students as our future colleagues who will improve MFEM for generations to come.”

MFEM is an open-source software library for solving equations in computational models. Scientists and engineers use it to build and test virtual designs on some of the world’s most powerful supercomputers before creating real-world prototypes.

In fact, MFEM powered a tsunami early-warning model that ran on El Capitan, the world’s second-fastest supercomputer. The framework completed a simulation in a fraction of a second, 10 billion times faster than conventional algorithms. Kolev was part of the team that won the 2025 Gordon Bell Prize for the project.

MFEM’s impact extends beyond its original developers. The AWS Center for Quantum Computing uses the software as the foundation for a tool called Palace. This project runs 3D electromagnetic simulations to aid in the design of quantum computing hardware.

“These workshops have been very beneficial for both the broader user community and also for MFEM developers,” said Kolev.

“Every workshop, we are surprised by the ways people are building on our work, seeing what incredible, interesting, amazing things they do with it.”

Next month’s workshop at Georgia Tech will connect MFEM users and developers from national laboratories, academia, government, and industry. 

The United Kingdom Atomic Energy Authority joins LLNL and Georgia Tech in sponsoring this year’s workshop. Nearly 20 scientists from Department of Energy (DOE) laboratories are attending in person. They represent LLNL, Los Alamos National Laboratory, Princeton Plasma Physics Laboratory, and the Naval Nuclear Laboratory.

The workshop’s first day features a free, hybrid tutorial. LLNL’s High Performance Computing Innovation Center will lead the tutorial, helping new users get started with MFEM and learn what the software can do. The tutorial requires separate registration for virtual participants.

The workshop will also host a simulation and visualization contest. Participants can submit images and videos of simulations using MFEM, which will be posted in a gallery. The workshop organizers will select an overall winner.

Further workshop activities include:

• MFEM news and roadmap for future projects
• Talks from application developers
• Student-user lightning talks
• In-person poster sessions
• Office hours with MFEM experts

The MFEM workshop highlights the role open-source software plays in scientific discovery. 

By making tools freely available, researchers can build on each other’s work rather than starting from scratch. This shared approach can accelerate innovation, improve software, and make advanced computing tools accessible to a wider community.

Georgia Tech hosts a Center for Scientific Software Engineering and an Open-Source Program Office. This year’s workshop connects these units with the MFEM community to help put the software into the hands of more researchers across science and engineering.

“The MFEM workshop aims to foster collaboration among all MFEM users and developers,” said Qi Tang, a workshop organizer and assistant professor in the School of Computational Science and Engineering.

“Hosting its annual community workshop brings researchers from DOE laboratories, universities, and industry to campus, giving Georgia Tech faculty and students direct access to experts from the field.”

Angus Wilkinson, associate chair and professor in the School of Chemistry and Biochemistry and the School of Materials Science and Engineering, has been elected chair of Georgia Tech's Faculty Executive Board. 

In time for the fall semester, the ribbon has been cut, and students will soon move into Georgia Tech’s newest traditional residence hall — the Bud and Val Peterson Residence Hall.  

Georgia Tech’s Itamar Kolvin is aiming to solve that problem using molecular motors powered by tiny chemical reactions, giving researchers a new way to guide how fibers assemble into larger structures in the lab. The work could open the door to advances in wound healing, artificial tissues, and organ repair.

Now, Kolvin, an assistant professor in the School of Physics, has been awarded a $747,000 CAREER grant from the National Science Foundation (NSF) to support this research.

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

“The CAREER award is a crucial opportunity to push this research forward,” says Kolvin. “NSF plays a critical role in advancing science, and we wouldn’t be able to do our work without their support. I’m incredibly grateful for their commitment to advancing science.”

Microscopic Motorboats

While the body naturally assembles these fibers, their small size makes protein filaments difficult to control in a lab setting. Without guidance, the materials grow randomly, creating weak and disorganized structures. But Kolvin has found that exposing the filaments to controlled fluid flows can help them grow in predictable ways.

That’s where Kolvin’s molecular motors come in. He attaches the motors to rod-shaped particles called microtubules, transforming the otherwise inert particles into microscopic motorboats. Powered by chemical reactions, the microtubules move through the fluid and generate tiny currents. Those currents guide the suspended protein filaments, directing how they align and assemble.

Like sticks in a stream, the current helps the protein filaments align with the flow around them. When millions of filaments interact in this way, they can form bundles, clusters, and large-scale networks. 

“How do these rods align, when do they tangle, and when do they form networks?” Kolvin asks. “I’m interested in learning how we may be able to predict and ultimately control that behavior in order to direct the ways these structures can grow.”

Flexible Filaments

Kolvin’s earlier work has already shown success with actin, the filaments responsible for building muscles. When suspended in fluid, the molecular motors helped actin fibers bundle together and form a membrane-like structure. 

While that work demonstrated that molecular motors could influence assembly, Kolvin now aims to create a more dynamic, tunable system. Actin is limited, he explains, because of its simple rod-like shape, lack of rigidity, and because its bonds become permanent once the fibers bundle together.

He believes the more rigid, helix-shaped flagella in this new work will offer a wider range of opportunities. “The shape and rigidity of flagella expand the variety of patterns they can form,” he explains. “These new structures could have different applications.”

Toward Tunable Materials

Through molecular engineering, the Kolvin Lab creates flagella that are temperature-sensitive, meaning that they can make and unmake bonds at different temperatures. This property might be key in creating a system that could be assembled and disassembled on demand.

“This could make it possible to tune materials in real-time by warming or cooling the system," Kolvin explains.

By combining molecular motors with temperature-sensitive protein fibers, Kolvin aims to create systems that can be predictably shaped, assembled, and disassembled on demand, opening the door to new possibilities for tissue engineering and regenerative medicine. 

The work could also help answer long-standing problems in physics about active matter and collective behavior, revealing how flow and shape influence the way millions of microscopic building blocks align, pack, and assemble into complex materials.

“This CAREER award provides an exciting opportunity to pursue new ideas and tackle difficult, far-reaching questions,” Kolvin says. “I’m looking forward to seeing where this research leads in the years ahead.”

"One of the goals of the program is to give students the time and support needed to make meaningful progress on their dissertation research while helping them understand the broader policy, economic, and societal implications of their work," said Laura Taylor, director of EPIcenter.

The stipends enable participants to focus exclusively on clearly defined research goals. The program also supports peer discussions, communication training, and interdisciplinary learning opportunities designed to strengthen both their research and professional development.

This year's cohort explored topics ranging from electricity markets and air pollution to critical mineral supply chains and grid modernization, highlighting the breadth of energy-related research taking place across Georgia Tech.

Exploring Complex Energy Challenges

Ana Mazmishvili, who studies environmental and energy economics, used the summer to examine how climate policies affect communities across state lines.

"My research measures who is actually exposed to pollution from power plants when some states adopt climate regulations to cut emissions while neighboring regions do not," Mazmishvili said. "Because air doesn't stop at state borders, the key question is what happens once the pollution is emitted, and who ends up breathing it."

Her work focuses on the Regional Greenhouse Gas Initiative (RGGI), a cap-and-trade program in the Northeast, and investigates whether the benefits and burdens of emissions reductions are distributed equitably between regulated and neighboring states.

Mazmishvili said the program provided valuable time to focus on her job-market paper, a central component of her dissertation.

"The regular meetings with the program director and other fellows create useful accountability checkpoints and let me hear perspectives from people in very different fields," she said. "We're also learning how to make academic research understandable to a general audience, a skill I expect to use well past this summer."

Industrial and systems engineering doctoral student Faeze Fahimi Aghda spent the summer developing an optimization model for the U.S. gallium supply chain, a critical component of many advanced technologies.

Her research uses mathematical modeling to examine where and when domestic gallium processing facilities should be established under the threat of supply disruptions.

"Working on my research through EPIcenter has taught me to look at my problem from a policy point of view rather than focusing only on the math," Fahimi Aghda said. "The feedback within the meetings helped me improve my model."

Ryan Anthony, in the Jimmy and Rosalynn Carter School of Public Policy, explored how one of the largest oil shocks in U.S. history affected electricity customers and whether utility ownership influenced the impact on consumers.

"So far, my research suggests that it mattered a lot,” Anthony said. “Municipal utilities held rates down and absorbed many of the costs, while private, investor-owned utilities passed more costs through to their customers."

Anthony said the program provided critical support for the archival research required for the project.

"My project depends on data that only exists in old government reports, and that kind of archival work is difficult to fund," he said. "EPIcenter gave me the time and space to do it properly."

Connecting Research to Real-World Impact

For Samin Alipour, the summer provided an opportunity to explore how electric grids can adapt to growing numbers of distributed energy resources.

"Most electric distribution systems were built like one-way roads, carrying power from a substation to homes and businesses," Alipour said. "Rooftop solar, batteries, and electric vehicles are turning those roads into two-way systems."

Her research examines how these emerging technologies can be coordinated to increase grid flexibility and clean energy adoption while maintaining safety and reliability and ensuring that costs and benefits are distributed fairly.

With support from EPIcenter, Alipour focused on the economic and policy dimensions of those challenges. "I did not want my research to remain only a technical model," she said. "The program has helped me connect the technical results of my dissertation to economic value, reliability, equity and compensation policy."

One study developed during the summer was accepted for presentation at a specialized power systems conference, an achievement Alipour credits in part to the opportunity to focus on the broader implications of her work.

Building the Next Generation of Energy Scholars

Beyond advancing individual research projects, the Summer Research Program encourages students to engage with colleagues from different disciplines and develop skills for communicating complex ideas to broader audiences.

“Through regular cohort meetings, participants build a community of accountability, discuss research challenges, explore interdisciplinary energy topics, and develop communication skills,” said Gil Gonzalez, program support coordinator for EPIcenter. “Students also write a research-focused blog post for EPIcenter and present their work at the program's fall workshop, which allows them to share their research with the broader Georgia Tech energy community.”

As EPIcenter continues to support interdisciplinary energy scholarship at Georgia Tech, the Summer Research Program equips future leaders with the tools to address complex energy challenges through technological innovation, informed policy, and economic analysis.

As a new semester dawns and thousands of new Yellow Jackets arrive, Week of Welcome is a chance for students new to campus to learn their surroundings, meet new people, and have fun before classes begin.  

Generating $6.3 billion in economic impact for Georgia’s economy in fiscal year 2025, Georgia Tech surpassed its own record and continues to lead all state public universities, according to a University System of Georgia (USG) study.  

What started as concern about food waste has grown into a campuswide effort to help food-insecure Georgia Tech students while keeping thousands of meals out of the waste stream. Since launching in 2024, Green Forks has transformed surplus food from catered events into a valuable resource for students in need. 

The Air Quality Index (AQI) measures how clean or polluted the air is. A healthy AQI is between zero and 50, but when wildfire smoke blows in and settles over cities, the AQI can reach levels of 500 or more. Poor air quality changes where and how people spend their time and money, reduces productivity (even for those working indoors), and increases healthcare costs.

“Environmental regulations like the Clean Air Act dramatically improved our air quality over the past 40 years, but as wildfire season becomes the new normal, wildfire smoke is eroding those gains,” Wichman said. According to recent research, wildfire smoke has erased about a quarter of the progress made over previous decades, and more than half in many western states. 

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Most members of the Georgia Tech community rarely think about campus utilities, and that's exactly how Jermaine Clonts likes it. 

Georgia Tech is one of America’s best colleges, according to Money magazine.  

Fueled by the generosity of thousands of alumni, donors, corporations, foundations, and friends, this defining moment builds on the strongest two-year fundraising performance in Georgia Tech’s history and reflects extraordinary engagement across the Institute. Recent milestones underscore the breadth of support behind Transforming Tomorrow, including the 79th Roll Call, which raised $8.8 million, and Georgia Tech Athletics’ Full Steam Ahead initiative, which led to more than $100 million in gifts and commitments.

The collective support of donors, including gifts from first-time donors, is already making a difference across campus — in the experiences of students, the work of faculty, and the spaces that shape learning and discovery.

Transforming Campus and Expanding Opportunity

Donor support has fueled major projects such as the Thomas A. Fanning Student-Athlete Performance Center, which opened in May, and George Tower | Scheller Tower, which will open in September. Scheller Tower will house MBA and executive education programs for the Ernest Scheller Jr. College of Business, while George Tower will become the new home of the H. Milton Stewart School of Industrial and Systems Engineering. These facilities are designed to foster collaboration, innovation, and student success.

This momentum continues as Georgia Tech advances new capital projects, including the Aerospace Engineering Building, Medical Innovation Building, Creative Quarter, and Alumni Welcome Center — each critical to the Institute’s future growth.

At the same time, philanthropy is transforming access to education. Donors have contributed more than $513 million to expand scholarship and fellowship support, opening doors for talented students and ensuring that financial barriers do not limit opportunity.

Investing in Students, Faculty, and Research

Support for students extends from undergraduate access to graduate-level research and discovery. Graduate fellowships funded through the campaign are enabling students to pursue advanced study, contribute to research labs, and play a central role in Georgia Tech’s academic mission.

At the faculty level, donor investment continues to strengthen Georgia Tech’s ability to attract and retain world-class educators and researchers. A landmark example is the $100 million bequest from the estate of alumnus John W. Durstine, the largest gift in the Institute’s history, supporting faculty excellence in the George W. Woodruff School of Mechanical Engineering.

In health research, a significant commitment has established the Parker H. Petit Center for AI-Driven Health Innovation, a new research hub focused on using artificial intelligence to model diseases, identify treatment paths, and move discoveries closer to patient care.

Driving Innovation Through Collaboration and Industry Engagement

Philanthropy is also fueling new interdisciplinary initiatives that reflect Georgia Tech’s collaborative, forward-looking approach. The Tony Kepano Joint Center for Real Estate brings together the Ernest Scheller Jr. College of Business and the College of Design to create a multidisciplinary platform for education, research, and industry engagement.

Corporate and foundation partnerships are accelerating progress in key areas. The Delta Air Lines Foundation’s $5 million commitment is helping fund the new Aerospace Engineering Building. This facility will elevate one of the nation’s top-ranked aerospace programs, fuel the state’s economy, and accelerate innovation across the aviation industry.

Georgia Tech’s multidecade partnership with Hyundai Motor Company is advancing research and education in sustainable mobility, hydrogen technologies, and workforce development, while strengthening the Institute’s role in driving innovation and economic growth.

Looking Ahead: Sustaining Momentum

The campaign’s success reflects the collective efforts of alumni, donors, volunteers, faculty, staff, students, and partners who have advanced Georgia Tech's mission and strengthened its impact. The momentum created through their generosity will help shape the Institute’s future for years to come.

“Behind every gift is someone who believes in Georgia Tech’s mission and wants to help us amplify our impact,” said Georgia Tech President Ángel Cabrera. “Their generous support has expanded access to education, strengthened research and innovation, and strengthened our Institute to make sure it keeps creating value for generations to come. I am profoundly grateful to each of our donors for investing in Georgia Tech. 

I’m equally grateful to our deans, faculty, Campaign Steering Committee volunteers, and every member of our Development team for opening doors, carrying our message everywhere, and persuading others to participate in this campaign. Congratulations to all of them on reaching the most ambitious philanthropic goals in Institute history.”

Researchers at Georgia Tech play a key role in the international collaboration. The Georgia Tech-LIGO research group includes School of Physics Professor Laura Cadonati, Assistant Professor Surabhi Sachdev, Research Scientist Margaret Millhouse, Postdoctoral Scholar Prathamesh Joshi, eight graduate students, and multiple undergraduates.

The LVK network detects gravitational waves when a massive cosmic event — like the collision of two black holes — creates invisible ripples in the fabric of space-time. Waves ripple out at the speed of light, and millions of years after the events that first created them, they reach the LVK detectors. 

But detecting gravitational waves does not simply mean capturing a signal — clues first need to be untangled from background noise.

“Identifying gravitational-wave signals requires carefully separating real astrophysical events from random fluctuations in the data,” says School of Physics graduate student Urja Shah, whose work to quickly identify phenomena supports rapid follow-up by the broader astronomical community.

To support the identification of phenomena, School of Physics graduate student Megan Arogeti conducts consistency tests between waveforms, checking results to find unexpected or unusual features. “Tests like this give us confidence in our models as we continue to observe gravitational waves with increasing sensitivity,” she explains. “They support new observations and help identify exciting new physics.”

“These efforts help ensure that gravitational-wave signals are robustly identified and accurately characterized, turning each detection into a precise measurement,” adds Shah. “In turn, these measurements deepen our understanding of some of the most massive and dense objects in the universe and the fundamental laws governing the cosmos.”

Astrocalibration Autotune

When a sensor detects a gravitational wave, it produces a distinctive response, says School of Physics graduate student Shobhit Ranjan. “Those signals encode a wealth of information we can analyze to learn about their sources — their masses, spins, distance, and location.” But in order to detect these chirps, the detectors must be carefully calibrated, and if calibration is not optimal, the signals can be compromised.

Now, a new tool is helping the LVK collaboration recalibrate less optimal signals. The technique is already showing promise: In an article recently accepted in Physical Review Letters, LVK researchers successfully applied it to two interesting signals. The first signal served as a testing opportunity for the method. The team used astrocalibration to recover the data and check it against secondary independent calibration data that was available. They then put the technique to use, recovering information from a second event where no secondary calibration data were available. 

“Like autotune in the music industry, the new research shows that theoretical models can be used as guides, similar to how sheet music can help a studio shift off-key music to its correct tone,” Ranjan explains. “These theoretical models suggest the shape of the signal, and together with data from other detectors, we can adjust the data and read it correctly.”

“The fact that these detectors can now not only sense cosmic events, but leverage them to improve the data being collected marks a new era in gravitational wave science,” he adds.

A Record-Setting Dataset

The LVK Collaboration also published their fifth catalog of gravitational wave events this spring. The findings include an updated estimate of how fast the universe is expanding, evidence for the existence of second-generation black holes, the most precise sky localization ever achieved for a gravitational wave source, and the first measurement of three vibrational modes of a black hole.

“Our group helped enable 140 detections out of the 161 reported in this catalog,” says Joshi, who contributed to one of the flagship searches and designed a specialized search focused on detecting especially heavy black hole mergers.

Joshi also worked on determining precise locations of where the gravitational waves originated from in the universe — research that he says will allow astronomers around the world to perform long-term follow-up observations of interesting events.

One record-setting detection showed two black holes that had violently collided more than 3 billion light-years from Earth. Researchers were able to pinpoint its location in the sky more precisely than any other gravitational wave event observed before.

Improvements in the LVK network’s ability to localize events along with the large number of detections allowed for a better estimate of the Hubble constant, which measures the rate at which the universe is expanding. The new measurement is over 25% more precise than previous estimates.

The new catalog also includes the “clearest” gravitational wave signal ever detected. The clarity of the signal led to the most accurate test of general relativity ever performed and confirmation of Stephen Hawking’s black hole area theorem.

“This catalog provides not just the largest number of black hole detections, it marks a new era of rapid progress,” Sachdev says. “This is just the beginning of what these observations will allow us to uncover.”

Beginning July 6, Techwood Drive will be fully closed to vehicular traffic between Bobby Dodd Way and North Avenue to support utility work associated with the renovation of the Smith and Howell residence halls. The sidewalk next to Bobby Dodd Stadium at Hyundai Field will be closed to pedestrians. The eastern sidewalk, in front of the residence halls, will be open on either side of the project entrance.  

It’s a role she knows well.

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

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

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

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

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

A Helluva Scientist

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

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

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

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

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

Leading Global Conservation Efforts

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

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

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

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

Scientific Storytelling

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

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

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

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

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

Collaborative Conservation

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

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

She encourages Tech students to stay informed:

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

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

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

A Lasting Georgia Tech Connection

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

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

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

Housing and transportation are top priorities for many city mayors, policymakers and public policy researchers—including Brian An, an assistant professor at Georgia Tech’s Jimmy and Rosalynn Carter School of Public Policy. But in February 2021, soon after Winter Storm Uri wreaked havoc in Texas, an eight-hour power outage at his Atlanta home became an epiphany.

“While housing stability had long been on my mind, losing power drove home the importance of another piece of urban infrastructure: reliable access to electricity,” says An, an EPIcenter faculty affiliate and co-director of the Center for Urban Research. “It sparked my interest in studying the intersection of energy and urban policy to help make cities and communities not only socially equitable but also resilient to extreme weather.”

Read Full Story on the EPIcenter News Page

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

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

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

Read Full Story on the EPIcenter News Page

Georgia Tech has appointed the College of Computing’s David Joyner as interim vice provost for AI in Education, effective July 1. In this role, Joyner will lead implementation of the Institute’s academic artificial intelligence (AI) strategy. He will coordinate efforts across Colleges and administrative units and seek to expand access to resources, partnerships, and opportunities that support AI fluency, faculty innovation, and student success. 

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

A Global Stage and Familiar Promises

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

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

From Visibility to Value

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

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

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

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

That shifts the conversation from visibility to value.

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

The Economics Behind the Headlines

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

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

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

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

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

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

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

Pressure Points Across the City

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

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

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

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

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

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

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

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

Behind the Scenes: Food and Logistics

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

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

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

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

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

What Legacy Looks Like

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

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

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

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

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

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

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

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

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

When BRCA Fails

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

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

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

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

A Clearer Image

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

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

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

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

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

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

Paths to Treatment

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

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

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

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

Walker has been a member of the Guggenheim School faculty since 2005 and has held several leadership positions, including associate chair for graduate studies. Prior to his appointment as chair, he served in the dean’s office as the College’s associate dean for academic affairs.

“Mitchell’s leadership and achievements reflect the excellence and innovation that define Georgia Tech,” said Raheem Beyah, provost and executive vice president for Academic Affairs. “As a longtime member of our faculty, he brings a deep understanding of the Institute’s values and aspirations to this new role. I am confident he will build on the College of Engineering’s extraordinary legacy and elevate its global impact.”

Walker is known for his ability to bring together expertise and partners across schools and colleges to develop high-impact programming, including the interdisciplinary Minor in Applications of Artificial Intelligence and Machine Learning.

He played a pivotal role in advancing the sustained advocacy that led to Georgia Tech securing $88 million in state funding for a new Aerospace Engineering Building. Under his leadership, the nation’s top-ranked public aerospace program built a compelling case through years of coordinated effort among faculty, staff, alumni, advisory board members, and past leaders. This momentum reflects Walker’s contributions to aligning academic excellence with strategic institutional advocacy to achieve a landmark investment for the Institute.

“Georgia Tech’s College of Engineering represents the very best in innovation, impact, and collaboration,” Walker said. “I am honored to lead such an accomplished community of faculty, staff, and students and look forward to building on its strong foundation. Together, we will continue to advance research, education, and partnerships that address the world’s most pressing challenges and improve lives.”

Walker is a respected leader in advanced propulsion research, focusing on experimental and theoretical studies of plasma propulsion concepts for spacecraft, including Hall thrusters, gridded ion engines, and vacuum facility effects. He directs Georgia Tech’s High-Power-Electric Propulsion Laboratory and is principal investigator and director of the $15 million Joint Advanced Propulsion Institute (JANUS), a multi-university NASA Space Technology Research Institute. JANUS develops strategies to overcome limitations in ground testing of high-power electric propulsion systems, enabling and expanding their use in flight.

Walker is a fellow of the American Institute of Aeronautics and Astronautics and serves as a member of the organization’s Electric Propulsion Technical Committee. He is also an associate editor of the Journal of Spacecraft and Rockets and serves on the editorial boards of Frontiers in Physics and Frontiers in Astronomy and Space Sciences – Plasma Physics. In addition, he has delivered expert witness testimony to the Space Subcommittee of the House of Representatives to help guide national investments in space propulsion technology.

His contributions have been recognized with numerous honors, including the Air Force Office of Scientific Research Young Investigator Program Award, the AIAA Lawrence Sperry Award, the AIAA Sustained Service Award, and the Georgia Power Professor of Excellence Award.

As dean, Walker will lead the College’s academic and research enterprise, which includes more than 21,000 students, 50 degree tracks, and nearly 500 faculty members. Its undergraduate program is ranked No. 3 in the nation by U.S. News & World Report, and the graduate program is No. 4. All 11 of its programs are consistently ranked in the top 10.

Walker succeeds Beyah, who began his term as provost last November.

“I would like to thank Doug Williams for his steady leadership and service as interim dean during this important transition,” Beyah said. “Since November, he has provided critical stability for the College, and we are deeply grateful for his support of our faculty, staff, and students. I would also like to thank the search committee and their chair, Dean Vivek Sarkar. Vivek and the committee brought world-class candidates forward during this process, and their work has resulted in an exceptional new dean.”

Writer: Brittany Aiello, Faculty Communications Program Manager, Executive Communications, Institute Communications

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

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

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

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

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

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

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

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

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

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

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

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

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

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. 

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.”