The trend is raising concern about how well prepared ChatGPT, Claude, Gemini, and other popular LLMs are to provide appropriate emotional support.

To address this concern, Georgia Tech researchers have developed a new neural framework that examines how different training sources influence empathy and social reasoning within these AI-powered models.

“A lot of people are using LLMs to help process the death of a loved one, or maybe their girlfriend broke up with them, or their boyfriend cheated on them,” said Glenn Matlin, a Ph.D. student in the School of Interactive Computing.

Matlin said the new framework he and a Georgia Tech-led research team have developed audits neural networks with an LLM and estimates the influence documents, transcripts, and other data sources have on a model’s output.

“We’re trying to connect the data to outputs, which is helpful for us in understanding where the information a language model produces comes from,” he said.

Matlin is the lead author of a new paper examining model sourcing for social reasoning and how models mimic human behavior in conversations. The paper will be presented this week at the Conference on Language Modeling in San Francisco.

Matlin said the findings suggest that an objective tone in its output indicates that a model places greater importance on textbooks or similar neutral training sources. An empathetic tone suggests the model values sources with dialogue and conversational examples more.

“We find that models tend to learn better from interpersonal dialogue when it comes to social reasoning,” he said. “Models that are good at social reasoning will rely less on textbooks about human emotions and more on FAQs or customer service dialogue.

“It can read all it wants from texts that explain anger, but that wouldn’t help it determine whether someone is angry.”

Professor Mark Riedl, Matlin’s advisor, said that knowing which sources models value most could enable engineers to alter their behavior.

“The question is, in this vast ocean of documents in this neural network, which ones become important in certain situations, and which ones don’t,” Riedl said. 

“This leads to the potential for interventions in how we train the model. If we want more empathy, we might look to see where it learns empathy and give it more of those documents, fewer of them, or other documents.”

Riedl said the framework can audit an LLM’s sourcing for advice on any topic, from financial to medical.

“We want to help people make more informed decisions about whether they should use AI for a particular task,” he said.

“You might make a different decision about whether to trust the AI’s recommendation if you knew how a skill was learned and which documents influenced that decision. The first step is knowing how it learns, where it learns from, and what documents tend to lead to certain behaviors.”

The findings that Matlin, Riedl, and their collaborators have made so far came through a partnership with the Allen AI Institute (Ai2), which allowed them to audit their open-sourced LLM, Olmo 3.

While not as large as ChatGPT or Claude, Olmo 3’s training data comprises over a billion documents.

Matilin said it’s impossible to know why ChatGPT or Claude behave in certain ways because their parent companies do not disclose their training data. However, Matlin’s study may help researchers to make better guesses about what’s happening behind the scenes.

He added that the study is the first of its kind and scale on an academic level.

“This is the first one that’s ever been done for an open data model of that type,” he said. “We’re providing a view into neural networks that is hard to come by without being in the corporate setting.”

Ashley Ni first came to BridgeUP STEM as a high school student, joining in the 2024-2025 academic year. Now she is a computer science student, returning to the program as a Helen Fellow and serving as the first BridgeUP STEM participant to experience the program as both a scholar and a fellow. 

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.

Duran spent nearly four months interning at Apple’s headquarters in Cupertino, California. His work during the internship focused on Apple’s Foundation Models, a series of generative AI models that power Apple Intelligence, and on the large-scale infrastructure and tooling around them.  

Duran’s research interests lie at the intersection of computer architecture, systems, and machine learning. More recently, he has focused on making artificial intelligence (AI) workloads more accessible, sustainable, and cost-effective. Duran is co-advised by Associate Professor Yingyan (Celine) Lin and Assistant Professor Anand Iyer in the School of Computer Science.  

Duran said he saw the internship as an opportunity to gain industry experience and apply his knowledge to real-world problems.  

“Industry research is particularly exciting to me because you can work on challenging problems while also seeing how these ideas can translate into systems and products at a very large scale and impact nearly a billion lives,” he said.  

As a research intern, Duran especially appreciated the level of independence he was given. He was expected to take initiative to find problems on his own and then develop solutions with his mentors. Although Duran liked taking ownership of his work, he also came to better understand the value of outside input.  

“One thing I’m continuing to improve is recognizing when it’s more efficient to ask for input earlier rather than spending too much time trying to solve everything independently,” he said. 

Duran said he enjoyed the internship, especially the people he met. However, the biggest highlight for him was presenting his work.  

“I had the opportunity to present several times, including to larger audiences across different organizations, and I really enjoyed discussing the findings and getting feedback from people with different perspectives,” he said.  

In addition to the technical knowledge he gained, Duran said the experience gave him a new perspective on how research and engineering work in industry.  

“I realized that combining strong research with real business needs can often create much greater impact than research alone,” he said. 

“I really enjoyed seeing my work translate into something with broader, tangible impact, and that has influenced the kind of work I want to pursue in the future.”  

The kitchen serves students in need with groceries or meals, works to reduce food waste on campus, and is part of Students’ Temporary Assistance and Resources (STAR) Services.

“The STAR Office is so grateful to the School of Cybersecurity and Privacy for sponsoring a food drive this semester,” said STAR Program Director Steven Fazenbaker. “Your successful campaign has put us in a position to serve over 300 students by keeping Klemis Kitchen fully stocked with our most popular shelf-stable food items for the rest of the fall semester.”

 “It also allows us to get a head start restocking Klemis Kitchen during the winter break, so we will be ready when the spring semester begins. Thank you so much for your over-the-top generosity.”

The school exceeded its goal by $1,600 and surpassed last year’s donation of $2,110. 

Director of Research Operations Mary Helen Hayes organized the food drive and spent September fundraising. 

“While I organized and led the drive, its success came from the generosity and community spirit of our faculty and staff,” Hayes said. 

“Thank you to everyone who contributed and helped make it possible. SCP is proud to support such a meaningful cause, and we truly hope our contribution makes a difference for Klemis Kitchen and the students it serves.”

While SCP hosts this food drive once a year, Klemis Kitchen accepts donations year-round. 

Visit Klemis Kitchen to learn more about how you can help. The Kitchen relies 100% on donations, including leftovers from the dining halls, donations from community partners like grocery stores and churches, and food drives sponsored by departments across campus. 

Photos by John Popham/College of Computing

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

Cognitive behavioral therapies require patients to practice skills between sessions. Clinicians rely on retrospective patient reports to understand what happens during that time.

However, recall bias, selective disclosure, and difficulty remembering can render those reports subjective, incomplete, or inaccurate.

Clinicians can now see sensor data on how patients’ bodies react in these situations thanks to a new technology toolkit from Georgia Tech and Emory University.

A new app that syncs with a FitBit wearable device can track and record heart rate, step count, noise level, and other sensor data when patients practice prolonged exposure homework assigned by their therapists.

A web dashboard lets clinicians review that data, add notes, and track patient progress. This information helps them structure therapy sessions more effectively and accelerate patient progress.

The toolkit is the culmination of a $1.2 million National Science Foundation grant awarded to Georgia Tech’s Rosa Arriaga and Emory’s Andrew Sherrill in 2019.

Arriaga is an associate professor at Tech’s School of Interactive Computing. Sherrill is an assistant professor in the Department of Psychiatry and Behavioral Sciences at the Emory School of Medicine.

Sherrill is also a practicing clinical psychologist at the Emory Healthcare Veterans Program and has worked with veterans with PTSD for more than a decade. 

Arriaga and the students in her Ubicomp Health and Wellness Lab spent five years developing the toolkit, which they call the Patient Engagement Computational Sensing System (PECSS).

“It was a lot of master’s students and undergrads who built the back end to the app and the dashboard,” Arriaga said. “It was a lot of work and effort by a lot of students to take an idea from conception to deployment.”

The researchers originally titled the toolkit the Prolonged Exposure Collecting Sensing System, but they changed the name after realizing it could be used for other types of therapy.

“The idea is that for any therapy that has a homework component, this can bridge the gap between patient self-reporting and clinician intuition,” Arriaga said.

Nathaniel Swinger, a Ph.D. student in Arriaga’s lab, co-led a paper on the study’s results along with Ph.D. student Myeonghan Ryu. Their paper received a best paper award at the 2026 ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW). Best papers are given to less than 1% of the papers published at the conference.

“Our findings showed that the deployment was quite successful,” Swinger said. “Over 75% of the patients who incorporated PECSS into their treatment experienced a clinically significant change in symptoms. We don’t know if that’s causal, but there is some evidence the system worked to facilitate the process.”

Prolonged exposure is a method for systematically approaching trauma memories and reminders to make them safe and tolerable for patients. It is typically delivered in one-on-one therapy sessions.

Sherrill said the toolkit shows promise toward enhancing prolonged exposure therapy outside of clinical settings.

“Prolonged exposure has been researched more than any other therapy that exists,” Sherrill said. “We know it’s effective, but we’ve had problems for decades implementing it in the real world.

“There’s a need for technology in taking what patients learn in their sessions and having them replicate it outside of the clinic.”

Until now, the impact prolonged exposure on a patient with PTSD depends on the patient’s willingness to self-report the results of their homework.

“The number of potential triggers is an endless list,” Sherrill said. “We want people to approach them with their guard down and not to engage in avoidance or soothing behaviors.”

Sherrill said most of his patients have shown interest in continuing to use the toolkit — even after therapy is no longer needed.

“A system like this could reduce the frequency of sessions with a therapist,” Sherrill said. “We’re teaching patients to be their own therapists. This toolkit gives them a greater sense of independence.”

Given the promising results, Swinger said that ideally the next step would be a large-scale clinical trial.

“We’re looking to better test the causal clinical impacts of the system and a more generalizable notion of efficacy,” Swinger said. “We want to rigorously test it in a clinical setting for people beyond veterans with PTSD.”

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.

A team of computer scientists and doctors led by Georgia Tech aims to change that. Using a system of artificial intelligence (AI) models, the team can help clinicians deliver the right intervention to the right patient at the right time.

Their system uses Restless Multi-Armed Bandit (RMAB) models. While the name is technical, the idea is simple. The RMAB framework helps decision-makers choose the best actions over time when conditions are complex and constantly changing.

This project will tackle Type 2 Diabetes (T2D), building on previous experience expanding RMAB models to support maternal health care in India. Success on this front could lead to treating other chronic illnesses, like hypertension, heart disease, kidney disease, and mental health.

Recognizing the RMAB system’s potential, the National Institutes of Health (NIH)  awarded the group an R01 grant. The award will fund the project with $1.2 million through 2029.

“Our goal is to address the immense challenge of allocating limited health intervention resources in optimal ways,” said Kai Wang, an assistant professor in the School of Computational Science and Engineering (CSE). 

“By leveraging rich contextual data and accounting for social determinants, we envision RMAB models that empower health centers to customize interventions to individual patient profiles. Ultimately, this advances precision medicine and ensures equitable healthcare access for diverse populations.”

T2D is a diabetes condition where the body resists insulin or doesn’t produce enough to regulate blood sugar levels. Left unmanaged, high blood sugar leads to severe health problems like heart disease and stroke, damage to organs like eyes and kidneys, nerve damage, infections, and ulcers.

T2D is challenging to treat because patients have different ages, genetics, lifestyles, and body composition, all of which affect the progress of the disease. Social factors, like transportation and family support, matter just as much as biology to treat the disease.

For these reasons, patients who get the same medications may get very different results. While treatment plans now incorporate new GLP-1 drugs, they remain expensive and difficult to distribute equitably.

“Diabetes is a great example of a complicated, multi-faceted problem. It is a natural playground for the kind of high-dimensional machine learning algorithms we want to build and deploy,” said School of CSE Professor B. Aditya Prakash.

“As a chronic disease, diabetes also creates opportunities for sequential decision-making. Providers are not making just one decision to treat the condition, but rather a series of decisions over time.”

True to its multi-armed name, the team’s framework applies RMAB models across three different thrusts. 

Contextual RMABs use patient histories, biomarkers, demographics, and other data to predict how each individual will respond to an intervention. These models directly provide personalized, data-driven treatments. 

By incorporating patient-specific information, contextual RMAB models can help healthcare providers prioritize the most timely interventions. The goal is to improve patient outcomes while making more efficient use of limited healthcare resources.

Next, the group wants to understand social life and community influence in public health. Families and social networks shape how people manage chronic health conditions.

Network RMABs study and account for the role of social factors in health interventions. For example, the models can recognize when one patient responds better to treatment than others through benefits of their social circle. 

More broadly, hospitals, clinics, government agencies, and nonprofit organizations often share responsibility for the same population in an area. Sometimes, they even compete for the same medications or funding. 

Multi-agent RMABs are the third glass of models aimed at decentralized health systems to make fairer decisions. These tools examine how to coordinate resources and decisions between stakeholders. This in turn leads to policies that encourage cooperation and equitable resource distribution.

“I feel extremely confident in RMABs because we have already seen these frameworks deliver real-world impact,” Wang said. 

“Prior success has proven the value of data-driven decision-making under resource constraints, giving us a strong blueprint to effectively address the nuances and complexities of diabetes.”

Wang previously built RMAB models to expand maternal healthcare for women in India. Working in conjunction with the non-profit organization ARMMAN, the models used healthcare information to identify and reach the most vulnerable populations. 

By integrating RMAB models into ARMMAN mobile health technology, the partnership has reached over 350,000 mothers. This further led to a 31% improvement in engagement with health information.

Compared to maternal healthcare, diabetes is a more nuanced disease with differing causes, symptoms, and treatments. This requires a team effort spanning institutions and backgrounds.  

Dr. Sara Cromer is an endocrinologist at Massachusetts General Hospital (MGH). Experienced diagnosing and treating diabetes, she has studied how social issues and equity influences the disease. MGH will provide much of the patient data to train the RMAB models.

Associate Professor Jian Li studies reinforcement learning at Stony Brook University. His expertise in applying reinforcement learning for resource allocation plays a key part tailoring models for the T2D problem. Wang and Li have previously worked together on RMAB research.

Prakash is an expert in computational epidemiology at Georgia Tech. He has led substantial contributions to the use of AI for networks to predict outbreaks and track disease spread. This experience has led to collaborations with NIH, the Centers for Disease Control and Prevention (CDC), National Science Foundation, and others.

“This project speaks to the interdisciplinary problem-solving we try to achieve in CSE. Despite having different backgrounds, our interest in applying our strengths to real-world healthcare problems unites us together,” Prakash said.

“These problems require experts from all sides. Without computational scientists, we can’t take advantage of available data. We lean on clinical experts to provide the data and expertise needed to guide our methods and make sense of results. Ultimately, these approaches need to be clinically validated if we want to make real-world progress.”

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

These questions will be at the center of a conversation with Kamau Bobb, senior director of Georgia Tech’s Constellations Center for Education in Computing, on Oct. 16, as part of the CTRL+CM Speaker Series.

Bobb will discuss his new book, The Bullwhip's Algorithm: Artificial Intelligence and America's Racial Caste System, from 11 a.m. to 1 p.m. in the Scholars Event Theater at Price Gilbert Library. Lunch will be provided, and registration is required.

Drawing on the themes of his book, Bobb will examine the connections among AI, public policy, education, and social systems. The discussion will consider both the opportunities and challenges posed by emerging technologies and the responsibilities that accompany their development and use.

Bobb brings experience spanning higher education, government, and industry to the conversation.

He is the founding senior director of Georgia Tech’s Constellations Center for Education in Computing, which opened in 2017. Before joining Georgia Tech, he served as director of STEM Education Strategy and Research at Google, a program officer in the National Science Foundation’s Directorate for Computer and Information Science and Engineering, and director of the STEM Initiative for the University System of Georgia. He also served on President Obama’s My Brother’s Keeper STEM Task Force.

He earned a Ph.D. in science and technology policy from Georgia Tech and master’s and bachelor’s degrees in mechanical engineering from the University of California, Berkeley.

The speaking engagement follows Bobb’s September appearance at the Richard Tapia Celebration of Diversity in Computing in Atlanta. He co-headlined a session with data scientist and Tapia co-founder Valerie Thomas on AI and its impact on underrepresented groups, a topic also explored in his book.

The Constellations Center’s Collective Impact Creative Technology program organizes the CTRL+CM Speaker Series. The Oct. 16 event is open to those interested in AI, computing, education, public policy, and the social impact of emerging technologies.

Register for the Oct. 16 event.

Sichen Jin, who graduated in the spring with a Ph.D. in computer science from Georgia Tech’s School of Interactive Computing, said students in this situation should make good use of their internships.

Jin speaks from experience because she wasn’t sure which path to take when she started her Ph.D. 

“I think that was always an open question to me,” she said. “I was debating between them a lot. I know my first two or three years, I wanted to make sure I got to know what research was like and then try the industry experience.”

Knowing she would complete at least two internships at Georgia Tech, she decided to base her decision on those experiences. 

In 2024, Jin interned at the Pacific Northwest National Laboratory (PNNL). She helped design a large-scale visual analytics tool powered by artificial intelligence (AI) to help power grid operators make quick, informed decisions.

“The work I did at PNNL was more aligned with the work I was doing in my Ph.D.,” she said. “It was very exploratory. I had free reign to go whatever direction I wanted.”

Jin said her next internship was nothing like her internship at PNNL. She interned at Cisco over the summer and said the main difference was that the work focused on producing research to enhance a product.

She helped Cisco build new pipelines that allowed its products to automate visualizations with AI.

“I think industry’s goal is so different from what academia is looking for,” she said. “Usually, academia wants a novel idea and a demo, but industry wants something reliable, something that is tested repeatedly. There are so many steps before you can release a product. They are driven by results.”

Jin said she gravitated toward that, which pushed her to apply for industry jobs.

She is now a research scientist at Meta.

“I like that the work is straightforward,” she said. “You get a task with a concrete goal, and you aim for it, and you get it solved. There’s tangible output. You get to see what you build be used by users, and your work reaches a lot broader audience. Every decision you make will affect them and whether they are happy with the product.”

Looking back on her experience, Jin said she wouldn’t change how she approached her Ph.D. Whether a doctoral student wants to pursue academia, industry, or is unsure, she said laying a foundation for their research is paramount.

“You need some concrete research outcomes that people know you for, and you need some publications under your belt. Those are the years when you’re still exploring your topic or research. Most of the time, your advisor can’t tell you what the topic of your dissertation, so you need to figure it out. Doing a research-oriented internship can help you do that.”

Jin added that all students should experience both sides to ensure they make the best choice.

“You might find that you are doing research that is aligned with the industry’s needs. Then you might want to get a sense of what that looks like; you can do an engineering or product-driven internship. You can make fair comparisons and not regret your decision.”

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

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.”

This year, Team Blue Water – which features nine Georgia Tech participants –came out on top after three days of intense competition.

“I've competed in DEF CON CTFs for four years now,” said Ph.D. student Kevin Stevens. “After winning second place three years in a row, it's so rewarding to finally achieve first place with such a great team.”

Blue Water finished with 578,103 points, well ahead of second-place team 0x4b52, which scored 454,797 points. SuperDiceCodeLovers took third place with 425,686 points.

The results highlighted Georgia Tech’s strength in the competition. The first-, second-, and third-place teams all included Georgia Tech students or alumni.

Georgia Tech participants on Blue Water included:

• Jalen Chuang, Ph.D. student
• Jiho Kim, Ph.D. student
• Andrew Chin, Ph.D. student
• Youngjoon Kim, postdoctoral researcher
• Kevin Stevens, Ph.D. student
• Yong Hwi Jin, Ph.D. student
• Sunghyeon Jo, Ph.D. student
• Yu-Fu Fu, Ph.D. student
• Gye Jin Lee, Ph.D. student

Blue Water consisted of members from Perfect Blue, Water Paddler, r00timentary, RedBud, BunkyoWesterns, and undef1ned. Combining multiple teams into a single roster is common at DEF CON CTF.

The competition unfolded over three days, with teams competing for about seven hours on each of the first two days and an additional two and a half hours on the final day. However, the work continued beyond the competition's official hours. The teams were allowed to continue working through the evenings and nights to find vulnerabilities, protect their systems, and gain points.

The challenges were designed by the Benevolent Bureau of Birds, the group that had won the competition for the past four years under the team name Maple Mallard Magistrates. The group is a collaboration between Plaid Parliament of Pwning from Carnegie Mellon University, The Duck from Theori Inc., and Maple Bacon from the University of British Columbia.

This year’s bird-themed competition featured a wide range of technical challenges, including escaping game softlocks, programming in a custom bird emoji language, working with a custom computer architecture and using Game of Life patterns for data exfiltration. Other challenges included a bot battleground, protecting the 1994 Netscape Navigator browser, and exploring a reimagined version of the internet built around “bird HTTP” and “bird CSS.”

For Stevens, one of his contributions to the winning effort focused on a new competition mechanic introduced this year, the “rebate mechanic.”

Teams could earn partial points back for flags stolen from them if they recovered those flags from recorded network traffic. Stevens created and maintained a service to manage the new mechanic, adding another layer of strategy to an already complex competition.

The victory adds another accomplishment to Georgia Tech’s growing record in elite cybersecurity competitions, where students regularly apply classroom knowledge and research skills into practice against some of the strongest teams in the field.

“SCP students and their collaborators continue to excel, winning elite cybersecurity competitions, including this year’s CTF at DEF CON,” said Mustaque Ahamad, interim chair of Georgia Tech’s School of Cybersecurity and Privacy (SCP).

“This is because of the excellence of our students and the SCP research projects and courses that prepare them with the advanced knowledge and skills needed to discover and mitigate the most challenging security vulnerabilities in systems on which we all rely.”

The team also found that the new standard's core rules for sending messages and handling errors retain every known security weakness of older versions.

The vulnerabilities could allow an attacker who has already gained access to a vehicle's internal computer network to change or intercept messages, take individual vehicle computers offline, send different information to different systems, or disrupt network communication.

CAN Extra Long (CAN XL), the latest version of the controller area network (CAN), is designed for future cars and other vehicles that need to move large amounts of data between onboard computers. The technology is not yet widely deployed in production vehicles, giving manufacturers an opportunity to address security concerns before it becomes more common.

“Because it isn't widely deployed yet, we have a narrow window to get its security right,” said Associate Professor Saman Zonouz of the School of Cybersecurity and Privacy and the School of Electrical and Computer Engineering, one of the researchers on the project. 

“Fixing a standard now is far easier than fixing it once it's built into the hardware of millions of cars that stay on the road for a decade or more.”

Zonouz said CAN XL is expected to become the primary version of CAN, the network that enables computers inside a vehicle to communicate. It is also expected to serve as the main network for driver-assistance systems in future vehicles.

The researchers confirmed the seven vulnerabilities in commercial CAN XL hardware and demonstrated attacks using a physical test setup that mimics a vehicle network.

Modern vehicles can have dozens of electronic control units that manage systems such as sensors, brakes, steering, and entertainment. These computers need to communicate quickly and reliably.

For decades, many vehicles have used CAN for this communication. However, the original version, known as classic CAN, was not designed to handle the volume of data generated by newer vehicle technologies.

CAN XL was developed to provide faster communication, larger messages, and new security features, but the researchers wanted to know whether the new standard’s basic rules were secure. Their testing revealed that they weren’t. They discovered that an attacker who controls one computer on the network could intercept and replace messages or take a targeted computer offline.

“These flaws are in the standard itself, so every device built to follow it inherits them,” Zonouz said. “With CAN XL, there's still time to fix these problems before they reach the road.”

The attacks would require an attacker to first gain control of a computer connected to the vehicle's internal network. The research does not show that CAN XL itself provides a means to break into a vehicle. Instead, it shows what an attacker could do after gaining access.

Several attacks were also faster and harder to detect than similar attacks against classic CAN, according to the authors.

The researchers proposed changes to the CAN XL rules to prevent several of the attacks. They also recommended additional security measures, including message authentication and systems that can detect unusual activity.

The team reported the vulnerabilities and informed the manufacturers of the commercial devices it tested about the bugs it found. One company has already released a fix. The researchers hope their findings will help manufacturers address security weaknesses before the technology becomes more widely used.

A Formal Security Analysis of CAN XL was published in the Proceedings of the 35th USENIX Security Symposium, held Aug. 12-14 in Baltimore, MD. The paper was also named a runner-up for a distinguished paper award.

The study was conducted by Georgia Tech Ph.D. student ZhaozhouTang, Professor Vijay Ganesh, Zonouz, and Provost and Executive Vice President for Academic Affairs Raheem Beyah, along with Khaled Serag of the Qatar Computing Research Institute and Z. Berkay Celik of Purdue University.

The paper and its findings result from projects sponsored by the Hyundai America Technical Center, the Georgia Department of Transportation, and the $7 million CHORUS Center through the National Science Foundation’s Cyber-Physical System Frontier Program.

To improve robot performance and advance memory capabilities needed for reliable home use, Georgia Tech researchers have developed a new benchmark to evaluate the memory capabilities of vision-language models (VLMs).

That includes Gemini 2.0-flash and GPT-4o.

In-home assistive robots could clean and organize a home while the owner is away, but without enhanced memory capabilities, they could cause more problems than they solve.

They could, for example, cause a major inconvenience if they move important objects like wallets and keys but are unable to tell the owner where they put them.

A new benchmark created by Georgia Tech researchers tests the memory capability of vision-language models (VLMs), including Gemini 2.0-flash and GPT-4o, to determine whether they could improve robot performance.

Zsolt Kira, an associate professor in Tech’s School of Interactive Computing, said that most active VLMs can process only a few hundred images at a time before forgetting them.

“There wasn’t a benchmark that could test these specialized capabilities that we might want from a robot,” Kira said. “Our purpose in creating one is to spur research in this area so that others can develop methods to solve this problem.”

The team’s benchmark consists of memory evaluations based on 60 tasks that require continuous engagement and contextual and environmental awareness. Three task categories — spatial, temporal, and multi-goal — are highly difficult.

“You can chat with a language model like ChatGPT, and it remembers all the text from your previous conversations with it because the text data is small in terms of storage,” Kira said. 

“Embodied agents and robots observe a lot of videos, and those tend to be a lot harder to recall. If you ask it where your diary is, it must efficiently store images of your diary and where it is.

“That’s just a few frames out of a million that it recorded since yesterday, and it must know where that is relative to the spatial layout of the house.”

Karmesh Yadav, a Ph.D. student in Kira’s lab, said users don’t want to repeat information about their preferences after deployment. They also expect the robot to maintain long-term memory.

“In reality, you would want it to have a memory of the entire time it has been in your house, whether that’s days or years,” Yadav said.

The team’s benchmark evaluates memory performance over an average one-day period. It challenges the models with commands like “navigate to an object you did not interact with yesterday” or “navigate to a room you did not visit yesterday.”

The results show that current state-of-the-art models have a long way to go before they can be used in embodied agents. The best model achieved roughly a 50% success rate on high-level difficulty tasks.

Surprisingly, this model wasn’t Gemini or GPT VLMs. It was an open-source reasoning model from Qwen. 

“If you use an open-source reasoning model, even one that’s small in size, it can match the performance of closed-source non-reasoning models,” Yadav said. “Reasoning models can look at the video and translate it into text. It describes what’s going on in the video in words and determines the right frame to choose in its final output.”

Kira said that converting images into descriptive text that language models easily understand could be one way to circumvent the memory storage dilemma. Another way could be to assign a hierarchy that teaches the model to identify irrelevant or redundant images and erase them from storage.

Whatever future progress researchers make in those areas, Kira and his students are confident that their benchmark will remain relevant. 

“This benchmark is scalable,” said Ph.D. student Yusuf Ali. “If two years from now, videos are easy for a model to understand and store, you can use the same infrastructure we propose and scale up the problem’s difficulty.”

Yadav and Ali are co-first authors of a paper on the benchmark, presented in early September at the 2026 European Conference on Computer Vision in Sweden.

For more information about the project, click here.

For students seeking international experience, studying abroad can offer opportunities that extend well beyond the classroom. Computer Science (CS) Student Nicholas Byrd’s year-long experience in Germany gave him the chance to study CS at the Technical University of Munich (TUM) and to intern at TNG Technology Consulting. 

Saman Zonouz, an associate professor in Georgia Tech’s School of Cybersecurity and Privacy and the School of Electrical and Computer Engineering, is helping address those concerns as a member of a planning committee for the National Academies of Sciences, Engineering, and Medicine.

Since May 2026, Zonouz has served on the planning committee for an upcoming public workshop on integrating AI into the electricity system. The workshop is scheduled for Oct. 26 and will convene experts to discuss how to safely and reliably use AI across the power grid.

The workshop will explore how AI is used today, the challenges of integrating AI into existing power systems, and how people and AI can work together. The event will also examine relationships between AI and cybersecurity, data centers, workforce development, and future research.

For Zonouz, cybersecurity and resilience are key parts of the conversation.

“AI is both a shield and a target for the grid,” Zonouz said.

Zonouz leads Georgia Tech’s Cyber-Physical Systems Security Research Laboratory. The lab’s research, much of it funded by the U.S. Department of Energy, investigates how AI can protect power systems from cyberattacks.

One recent initiative combines AI with detailed knowledge about power system operations to detect attacks in near real time. Another project sought to identify security weaknesses in solar inverters and other devices that connect energy sources, such as solar panels, to the power grid.

Regardless of the challenge, Zonouz and his lab work to identify and fix these weaknesses before attackers can exploit them. Despite their best efforts, however, Zonouz said that some AI tools meant to secure a system can create new ways for attackers to target a power grid.

The lab has demonstrated in several studies that AI systems can be tricked by false or manipulated data. Attackers can also target the software and systems that AI depends on. As AI becomes more advanced, some systems may even be able to modify grid operations.

This raises an important question: What happens if an AI system fails or is attacked?

“That is why the right frame is resilience,” Zonouz said.

For Zonouz, the goal is not to create an AI system that can never fail or be attacked. It’s to build a trustworthy power grid that can continue operating safely even if an AI system fails or is compromised.

Zonouz will bring his perspective to the National Academies workshop. In addition to helping organize the event, he will lead a session on cybersecurity and resilience. He will also help summarize the workshop’s key takeaways during the closing session. The workshop will be held virtually in late October.  

“Lessons learned from the electricity grid can be applied to other critical infrastructure as AI monitoring and control tools continue to advance and become more common,” he said.

It was a chance to find community, encounter new ideas, and see a place for themselves in the future of computing.

The Sept. 16-18 conference at the Hyatt Regency Atlanta brought together students, researchers, educators, and industry professionals from across the country to advance diversity in computing.

The College of Computing had a strong presence throughout the conference, with Vivek Sarkar, John P. Imlay Jr. Dean of Computing, delivering welcoming remarks at the opening session and several College faculty, researchers, and leaders participating in panels and other programming.

Unprecedented student demand

The College has funded students to attend Tapia for more than a decade, typically covering attendance for about eight graduate students. However, with Tapia in Atlanta this year, a record number of students sought registration support from the College.

To manage the demand, Associate Dean of Access and Advancement and Regents’ Professor Dana Randall established the GT Computing Tapia Award. She led a small committee that reviewed 54 student applications and selected 17 for conference registration support.

“Of course, we wish that the College could have covered registration for all of the students who applied,” said Randall. “Tapia is an incredible opportunity for students to discover their community as they develop a richer understanding of where a career in computing can take them.” 

The 17 GT Computing Tapia Award winners were joined by eight students from the Online Master of Science in Computer Science program, and about 10 student volunteers, for a GT Computing contingent of approximately 35 students.

Connecting to community

For Abramson, a CS master’s student whose research focuses on inclusion in computing, the conference offered an opportunity to connect her academic interests with a broader community.

“Tapia was especially meaningful to me because much of my research focuses on inclusion in computing and on creating spaces where everyone feels welcome,” Abramson said. “Attending Tapia allowed me to network and to see how others in my field are working toward those goals.”

But most of all, Tapia reinforced Abramson's sense of belonging.

“The biggest lesson I learned from this conference is that there will always be a place for me at Tapia where I can be myself,” she said. “The best way to carry that legacy forward is to create the same space for others in my own community.”

The Tapia experience provided Muniz, a second-year CS major, with an equally personal perspective.

As a Latina student, Muniz said she remembered attending a first-year seminar in which the student panel didn’t include anyone who looked like her. At Tapia, she found a diverse, supportive community focused on helping students succeed.

“Their continued advocacy for diversity in the computing industry was inspiring,” Muniz said, “and they provided me with numerous resources so I can work toward my future.”

Muniz made the most of these resources by participating in resume review sessions and speaking with recruiters. She also drew inspiration from a presentation by Omar Florez, team lead for LatamGPT, a large language model for Latin America.

As a bilingual student assistant, Muniz saw the potential for technology like LatamGPT to help address representation and information gaps for communities that may lack access to college application resources.

Gaddam, a third-year CS major, also appreciated Tapia’s emphasis on diversity in computing.

She found the conference particularly relevant to her academic and professional interests. A session on the Evolution of Software Engineering with AI directly connected to her coursework and internship experience, while a career panel featuring engineers from Meta and Netflix offered insight into career growth for people of color in technology.

“Being in a room where most of the attendees and speakers didn't match the default image of who works in AI reinforced something I already believe,” said Gaddam.

“The industry needs more people who lead with empathy and intuition, not just technical throughput.”

GT Computing at Tapia

The College’s presence extended beyond student attendance. Along with Sarkar’s opening remarks, faculty, researchers, and students also participated in conference programming.

Kamau Bobb, senior director of Georgia Tech’s Constellations Center for Computing Education, co-headlined a session with data scientist and Tapia co-founder Valerie Thomas. The two discussed artificial intelligence (AI) and its impact on underrepresented groups, which is the subject of Bobb’s recent book, The Bullwhip’s Algorithm: Artificial Intelligence and America’s Racial Caste System.

Additional programming contributions from the GT Computing community included:

• Reeda Shimaz Huda, a first-year Ph.D. student in human-centered computing, participated in a panel discussion titled Cultivating Tomorrow’s Innovators: The Transformative Power of Undergraduate Research.
• Alex Cabral, a former postdoctoral fellow in the Ka Moamoa Lab at Georgia Tech, and Josiah Hester, an interactive computing associate professor, participated in a Birds of a Feather session titled Impact-Focused Research in Computing: Publishing, Career Paths, and Community-Building Without Losing Your Values.

Top-tier specialty rankings in artificial intelligence and cybersecurity continue to drive the program's standing, with AI retaining its No. 5 rank nationwide and Cybersecurity holding firm at No. 2.

“Maintaining a top-five national ranking reflects the extraordinary excellence and dedication of our faculty, students, and staff,” said Vivek Sarkar, John P. Imlay Jr. Dean of Computing.

“Our research strength in critical areas such as cybersecurity and AI, together with our distinctive threads-based curriculum, reflects our commitment to a comprehensive education that keeps pace with rapid technological change and prepares our graduates to thrive in a workforce undergoing major transformation.”

The 2027 U.S. News Best Colleges rankings reflect performance across several specialized undergraduate tracks within the College:

• Cybersecurity: No. 2
• Software Engineering: No. 3
• Artificial Intelligence: No. 5
• Data Analytics: No. 5
• Computer Systems: No. 6 (up 1 spot)
• Theory: No. 10
• Programming Languages: No. 13 (down 3 spots)

Building on prior years' gains in national recognition, the latest results mark continued consistency across both foundational theory and specialized subfields.

Earlier this year, U.S. News and World Report ranked Georgia Tech No. 7 overall among the best graduate CS programs.

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.

“It was something I had wanted since I was a kid,” he said. “Growing up in India, it wasn't known for martial arts.”

Agrawal knew he needed something to help him balance his physical health with the challenges of graduate school. He checked the list of classes offered by Georgia Tech’s Campus Recreation. One stood out: Georgia Tech Taido.

Taido is a niche martial art that applies a modern, scientific approach to traditional Okinawan karate. There is only one school in the U.S. that teaches it — Taido Karate in Peachtree Corners, Ga., which is currently the world’s largest taido school.

Taido means “the way of the body and the mind.” It was invented in the 1960s by Seiken Shukumine. 

One of Shukumine’s students, Mitsunobu Uchida, brought the new martial art to the U.S. when he immigrated in 1975. Uchida decided that Atlanta would be an ideal place to open a new school. 

Since then, generations of students have trained at Taido Karate, including Georgia Tech alumnus Bryan Sparks (EE 2000), and Andy Fossett, who started as a student at Tech in 1996 before transferring to Georgia State.

Sparks and Fossett learned taido together as kids. Both became black belts before graduating high school. 

Shortly after becoming students at Tech, they started an official taido club on campus. They taught their first class in 1996, which only had one student. By the next semester, they had almost a dozen. 

“The class was held in an open area, and a lot of people would walk by and see us training,” Sparks said. “That was the best advertisement we could ever have. We’d invite them to work out, and it grew from there. We did some demonstrations around campus in the early days.”

The taido club is still going strong and celebrating its 30th anniversary this year. 

Agrawal discovered it in 2018 as a first-year Ph.D. student. He earned his doctorate in robotics from Georgia Tech’s School of Interactive Computing in 2025.

While keeping his Ph.D. studies first, Agrawal trained for five years to earn a black belt. He said the process was the most physically and mentally challenging he’s ever experienced.

“The tenets of taido teach you how to compose yourself and how to have a good mindset, which becomes helpful in dealing with daily life stress,” Agrawal said. “It helps you focus on what’s important in the moment.”

“There were times when I felt like nothing was going right, and I kept asking ‘What am I even doing?’ But I knew if I could do some of the harder things in taido, there’s no reason I couldn’t do the same thing in my Ph.D.”

Agrawal’s commitment paid off in 2022 when he became one of five students from Tech Taido to pass the black belt test that year.

“The test is grueling,” he said. “It’s four hours long. It’s the hardest thing I’ve ever done physically, and I’ve run several marathons. They test you on everything you’ve learned from white belt level to brown belt level. I was training five days a week for five months.

“It was one of the best days of my life. It felt like no matter what happened, I could move forward with my life and be proud of that accomplishment.”

Agrawal landed a remote job with a robotics startup after graduating. His new position allowed him to stay in Atlanta and continue with Georgia Tech Taido as an instructor.

He said the unique aspect of taido is its emphasis on community and culture, which can be attributed to Uchida’s influence. 

“A lot of times, American senseis open dojos after learning martial arts overseas. They bring the techniques and the discipline over, but they don’t bring the culture that comes with it. I love how taido is a part of our lives. It’s not a separate workout; it’s a communal thing.”

Agrawal teaches classes with Lacy Hardcastle, who took over as lead instructor when Sparks moved out of the area in 2019. Hardcastle took her first Taido class at Tech in 2007.

Hardcastle said students trying taido for the first time will get a challenging workout.

“I didn’t know how weak my legs were until I took taido,” she said. “It kicked my butt the first semester. We do whole body conditioning with lots of push-ups, lunges, squats and other exercises. It’s a very athletic martial art and requires whole-body fitness and control.”

Hardcastle describes the environment as welcoming and supportive, with regular get-togethers outside of class and a biennial trip to Japan with the Taido Karate school.

“We have a great social community where we support each other,” she said. “We occasionally go out to social events together. Sometimes we’ll get together to watch MMA fights, things like that. But we also work out hard.” 

Georgia Tech Taido classes are held every Monday and Wednesday from 8:30 p.m. to 9:45 p.m. in Studio A of the Georgia Tech Campus Recreation Center. The registration cost for the fall semester is $75. To register, visit https://crc.gatech.edu/martial-arts-4/.

From planning and executing orientation to answering students' questions about their schedules, Baker does it all. As the sole academic program manager for the School of Cybersecurity and Privacy (SCP), she is the go-to person for 140 MS and PhD students.

“The beginning of the semester can be a bit crazy,” said Baker. “Every inquiry about registration comes through me.”

Beyond registration and scheduling questions, Baker organizes orientation and welcome events each semester for new students. During those events, she connects students with valuable campus resources that can support them throughout their time at Georgia Tech, including mental health services, campus food bank Klemis Kitchen, and other programs.

Baker joined SCP in February 2022 and is now in her fourth year with the school. When she arrived, SCP was still new and did not yet have someone dedicated to supporting students. For her first six months, she shared those responsibilities with a colleague from another school. By the summer, she had found her rhythm and was preparing for her first fall semester at SCP.

“I could sense the urgency when I started to get in here and help the department in any way I could,” she said. “It’s nice to know I was able to come in and help the department get to a better place.”

Her first orientation was a success, but Baker says her connection with students has grown stronger over time. Today, she takes pride in being one of their first points of contact when they arrive at SCP.

At Fall 2026 orientation, Baker personally greeted each new student and spoke about who she is, how she can help, and what students can expect from academic support during their time at Georgia Tech.

“Nancy Baker exemplifies the Georgia Tech value of ‘students are our top priority,’” said School Administrative Officer Jan Morian. “She listens to students, cares deeply about their well-being, and is a vital link to provide students with resources. She proactively invites campus resource leaders to meet with our students, which helps foster student belonging and academic success.”

Morian said Baker's impact extends beyond her work with students.

“Nancy is also an outstanding colleague and collaborator, not just within our department, but across the College of Computing and the greater Institute,” she said.

While supporting students is at the center of her work, Baker has also made professional development and community involvement a priority. She is a graduate of the Georgia Tech's ASPIRE leadership program and has participated in MentorTech, experiences she says helped her become a stronger communicator.

She also serves as an elected member of the Georgia Tech Staff Council. Now in her third year, Baker previously served as chair of the Employee Engagement Committee. One of her proudest accomplishments was helping the council serve third-shift employees for the first time in its history with a Staff Appreciation Day celebration.

“SCP has been super awesome about professional development and leadership opportunities,” she said.

Still, the most rewarding part of Baker's job is supporting students throughout their time at Georgia Tech. She gets to see the impact of her work firsthand, from helping students navigate their academic programs to hearing directly from them about the difference she has made.

“People can say whatever they want about me,” said Baker. “But hearing directly from the students on how much I helped them through their time here, is the greatest reward.”

But after more than a decade in the corporate world, Doetsch’s entrepreneurial spirit led him to VinoBarrel, where he serves as vice president of technology. The startup, launched in 2022, combines software, hardware, and data to help restaurants, bars, hotels, and other venues build customer relationships through wine.

The company builds technology-enabled wine dispensers housed in upcycled bourbon barrels. Customers can use a key fob or an integrated tablet to access their profiles, redeem offers, and pour wine. The system enables operators to track customer activity and manage loyalty programs.

For Doetsch, the unusual blend of tech and wine was part of the appeal when he first learned about VinoBarrel from its founder, fellow GT alumnus Seth Lytle (IE 2003).

“I saw the product at Tech Alpharetta (Tech North Atlanta), and I told Seth, ‘This is awesome. It looks like you’re collecting a lot of valuable data, but you don’t have a platform for people to view it,’” said Doetsch, who grew up in Alpharetta, GA.

He was impressed by Lytle’s vision for the company and decided to invest. In addition to funding, he consulted for the company part-time. Earlier this year, however, Doetsch left Capital One for a full-time role at VinoBarrel.

“I realized I could just build this myself,” he said. “Corporate life is not for me. I was ready to leave Capital One and move on to a smaller business startup where I could have a bigger impact.”

A Career Built on Curiosity

Doetsch’s path to VinoBarrel began as a Georgia Tech CS major who interned with a software company. The internship led to a job offer after graduation. Doetsch worked for the company for 10 years as a software developer, senior developer, team lead, and ultimately a manager.

The experience gave him more than technical skills. Working closely with the company’s founder exposed Doetsch to the business side of software: how a company is built, how it grows, and what happens when an owner decides to sell.

“That gave me a ton of entrepreneurial insights,” he said.

Doetsch left the company to start his own. He co-founded Lemony Learning, a financial literacy education company, in 2022. The platform provides resources to help K-12 teachers teach students about personal finance.

He sold the company in 2024 but retains an equity stake and serves as an advisor.

Putting Computing to Work in an Unexpected Industry

At VinoBarrel, Doetsch oversees the technology that powers the business. He develops the software platform that customers use to configure barrels, create loyalty clubs and coupons, and analyze sales and customer data. He is also modernizing some of the company’s internal systems.

The barrels are manufactured locally from upcycled bourbon barrels. Inside, they contain refrigeration, kegs, plumbing, electronics, and software.

“There’s so much left to build,” he said.

VinoBarrel is focused on expanding its customer base. In addition to new locations opening soon in Midtown Atlanta near the Georgia Tech campus, the company regularly demos at restaurants and venues across metro Atlanta, including events at Truist Park. 

“The company is really taking off,” said Lytle. “We have several early adopters, the Georgia Tech Hotel and Conference Center is evaluating our product, and we have a follow-up meeting with a global airport concessions operator.”

“Our immediate goals are to gain support from high net-worth investors – ideally with restaurant or hospitality experience, continue advancing our technology, and grow our client base.”

Finding Opportunity in Computing

Despite the demands of working at a startup, Doetsch finds time to stay connected to Georgia Tech and the College of Computing.

He recently mentored a student team in an entrepreneurship-focused CS design capstone, during which the team developed a tool to help manage and forecast AWS cloud costs. He says he enjoys working with students because it’s an opportunity to share lessons he’s learned.

“It just feels like the right thing to do. I was given a lot. I was helped by a lot of people. So, it seems like the ethically right thing to do, to come back and give back.

RELATED: GT Computing Alumni Hub

He also sees staying connected with fellow alumni as a practical part of building a career.

“Meeting fellow computer science alumni, you might find a good partner, and you might also find a customer or an investor,” he said.

For students interested in entrepreneurship, Doetsch offers a perspective shaped by his experience with startups and established companies.

“As a Georgia Tech student, you have access to immense resources and support from Tech overall and also specifically from the College of Computing,” he said.

“However, it's up to you to be proactive in using the resources available to you. Be intentional about what you choose to pursue, because you can have anything, but you can't have everything.”

A Georgia Tech research team was recently recognized for an influential paper that helped define how applications could run efficiently outside the cloud.  

It began with a focus on helping computer systems incorporate human language into their perception of the world. Could a robot tell humans that a heavy object is straining its arm? Does it know that a container makes a sound when it is picked up or dropped?

Now, Thomason’s research has become more human-centered, which is one reason he feels at home as he joins the faculty at Georgia Tech’s School of Interactive Computing as an associate professor.

Thomason comes to Georgia Tech after spending five years as an assistant professor at the University of Southern California’s Thomas Lord Department of Computer Science.

He will move his Grounding Language in Actions, Multimodal Observation, and Robots (GLAMOR) lab to Tech. The lab explores methods for connecting natural language processing to robotics.

While pursuing his computer science Ph.D. at the University of Texas, Thomason researched early NLP systems before large-language models such as ChatGPT and Google Gemini were introduced.

Thomason then expanded into robotics to explore how roboticists can create new ways to communicate with robots using computational representations of language.

“The idea was you could do something that looked like robot programming without as much engineering work if you used one of these coding modules to create a language-code interface,” Thomason said. 

When OpenAI and Google released their commercial LLMs in 2022, Thomason felt a seismic shift.

“That area of NLP and robotics became more crowded and accessible with the advent of (LLMs),” Thomason said. “It created a huge inroad to roboticists being able to plug and play language technologies in a way they couldn’t before. Robotics hardware has also become much cheaper and more standardized.”

But as LLMs became universal tools accessible to everyone, Thomason said he started thinking more about how he could improve optimization for users.

“I became most interested in how language interfaces, starting in 2022, were suddenly everywhere,” he said. “Everybody had a chatbot on their phone. I wanted to see what we could do as researchers to make the interaction between an AI system like a language model and a person smoother and more beneficial.”

Thomason said he felt he needed a new environment where end users were at the center of the technology design process. He was drawn to the School of Interactive Computing for its reputation in human-computer interaction research.

“That was a big factor in my decision to move to the School of Interactive Computing, where you value that kind of human-centered computing,” he said. 

“With the strong HCI researchers here, I have an opportunity to learn more from my colleagues about how to run high-quality human-subject studies, conduct participatory design, and identify actual users of a potential system and talk to them about what would be helpful.”

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.

The new fellowship award was announced in 2023 and named after Isbell, who served as dean for the Georgia Tech College of Computing from 2019 to 2023. 

Isbell joined Georgia Tech as a faculty member in 2002. He was instrumental in developing the College’s innovative Threads curriculum and the Online Master of Science in Computer Science (OMSCS) program.

The new fellowship is given to graduate students from underrepresented groups.

Francis is a fifth-year Ph.D. student in human-centered computing (HCC) working toward the improvement of black women’s maternal health. She is advised by Associate Professor Andrea Parker.

“I’m humbled and grateful that my body of work was compelling enough to be awarded,” Francis said. “Receiving this fellowship in Dr. Isbell’s name is encouraging, and I want to do my best work in my last semester to honor his legacy.

“This fellowship secures funding to complete my Ph.D. and continue equity-centered work and champion voices of marginalized or under-resourced populations. This fellowship is directly making this work possible.”

Francis’s work drew attention early in her Ph.D. when she started assisting Parker in the Preventing Maternal Mortality Using Mobile Technology (PM3) study led by the Morehouse School of Medicine’s Center for Maternal Health Equity.

The project aimed toward designing an app that reduces maternal mortality among Black postpartum women by getting them care on their phones. The app featured real-time health monitoring, educational resources, social support groups, and personalized care.

Google recognized Francis’s work through its Fitbit Health Equity Research initiative in 2021.

Francis entered the HCC Ph.D. program with a background in public health. She holds a bachelor’s degree in public health education and promotion from Georgia Southern University and master’s degrees in public health and biotechnology from Morehouse.

“I felt overwhelmed at first because I thought I had made the wrong choice pursuing a computing Ph.D. coming from a public health background,” she said. “After steeping myself in the literature and applying myself, I found that I can be a leader and innovator in this space.”

Francis said the fellowship will allow her to continue her research in clinical artificial intelligence (AI) for black women’s health.

Student Enters Ph.D. Program as Stamps Fellow

As Francis gets set for her final semester, Rachel Baker-Ramos is beginning the first semester of her Ph.D. as a recipient of the Stamps Fellowship.

Baker-Ramos is part of the second cohort of the Stamps Fellows, which was implemented by Georgia Tech in 2025. The Stamps Fellowship is the highest merit-based doctoral fellowship offered by Georgia Tech and given to exceptional scholars positioned to advance technology that improves the human condition.

She is the second student from the School of Interactive Computing to be named a Stamps Fellow. Adya Danaditya was a member of the first cohort last year. 

Baker-Ramos completed her master’s in human-computer interaction in 2024 under Georgia Tech’s MSHCI program. 

She spent two years as a research scientist in the Ka Moamoa Lab, led by SIC associate professor Josiah Hester. In 2025, she received the College of Computing’s Outstanding Research Scientist Award. 

She will continue her Ph.D. research with Hester as her advisor.

Baker-Ramos has assisted Hester, a native Hawaiian, on several Hawaii-based projects centered on sustainability and indigenous STEM education.

As a master’s student, Baker-Ramos led the design of Kumu Connect, a STEM lesson plan generator that creates culturally relevant lessons co-designed with Hawaiian immersion language teachers.

Hester and his lab received a Google Academic Research Award for their work on Kumu Connect and recognition from the 2025 MIT Solve Indigenous Communities Fellowship. Baker-Ramos was also first author on a paper about the project that earned best paper honorable mention recognition at the ACM Interaction Design and Children Conference.

“When I first came to Tech, I was seeking out something with the Hispanic community because we are underrepresented in STEM, but it became this partnership with my advisor,” Baker-Ramos said. “It’s been interesting as a researcher from an underrepresented community working with another community that has some experiences that are parallel and some that are different.”

As she thinks about what her Ph.D. research will look like, she is interested in how AI is impacting indigenous cultures. She plans to start research in that area in Hawaii and then expand to other communities.

“We’re talking with Hawaiian educators about what AI should look like if it were grounded in principles of caring for the land,” she said. “I want to look at what’s appropriate with these tools, and what should be their limitations with data sovereignty, community agency, sustainable impacts, and how they’re localized to each community. 

“Right now, my work is mostly in Hawaiian spaces, but there’s a lot of nuance between different communities. We need to understand what each community wants or doesn’t want out of these systems.”

However, new artificial intelligence (AI) models developed at Georgia Tech may soon weigh in on the debate, providing a richer, more accurate understanding of what classical structures looked like than ever before.

The new AI and machine learning models developed by GT researchers will provide archaeologists and classical architecture experts with better analytical tools for studying temples, theaters, homes, and other structures from ancient Greece.

These models could enable researchers to draw conclusions and make new discoveries in a fraction of the time required to identify and analyze archaeological data using traditional statistical methods.

Kartik Goyal and Myrsini Mamoli received a $225,000 grant from the National Endowment of the Humanities earlier this year to support interdisciplinary collaboration, including the development of the models. 

Goyal is an assistant professor in Tech’s School of Interactive Computing. He researches how natural language processing can benefit humanities scholars, including analyzing historical texts to make new discoveries.

Mamoli, a native of Greece, is an architectural historian and joint lecturer in the School of Architecture and School of History and Sociology . She conducted early research on how computational methods can help reconstruct historical architectural remains while earning her Ph.D. in architecture from Tech.

Mamoli is one of hundreds of researchers who spend their summers each year studying archaeological sites and monuments in Greece or Italy. She is among a select few working at the Ancient Agora in Athens.

“The Agora is where the political buildings of Athens emerged, and democracy was born, so it’s one of the most important sites in the classical world,” said Mamoli.

“Having been excavated by the American School of Classical Studies in Athens for almost 100 years, it’s the most well-funded, systematically explored, and most digitally well-documented site.”

More than 180,000 artifacts have been uncovered at the Ancient Agora.

The physical structures that have survived for thousands of years, along with recorded data and references in ancient texts, are the primary sources scholars rely on to determine what buildings might have looked like in antiquity.

Mamoli said identifying and studying all comparable structures and formulating hypotheses about them takes years. Every discovery made at the Agora since 1933 has a digitized record, leaving a massive amount of data to sort through.

AI can comb through it in a matter of moments and help researchers fill the gaps.

“Anything I want to look at, I can access it online, but the process of going through and connecting the dots and identifying certain design principles like proportions and material is tedious. Imagine if we could feed this data into an AI model that would automatically discover the connections.”

Mamoli said architecture has its own “language” that can be analyzed as a shape grammar. This visual, rule-based mathematical concept is used to generate designs in that language. Each architectural style has its own shape grammar.

Mamoli’s work as a Ph.D. student involved manually computing this information to generate 2D visualizations. Now, she hopes Goyal’s models will enable the instant conversion of data into more subjective and accurate visualizations.

“You encode these design principles and then apply them recursively, and you come up with various possible reconstructions,” she said. “Making these rules is time-consuming, so we hope with AI, a whole fresh approach can happen where AI can discover the rules by looking at the data at scale.”

Goyal has already used similar methods to analyze early modern English printed books and identify their printing origins. When Mamoli approached him about collaborating with her, he believed the same process could be applied to reconstructing classical buildings.

“Ancient texts and historical architecture records can help us fill in the blanks,” Goyal said. 

“These systems can automatically infer patterns from the fragmentary plans described in various texts. To automatically generate a proposed reconstruction, we are deploying machine learning techniques. They make the model not just think about producing tokens or pixels, but also about the aesthetic and geometric features.”

Goyal said he’s aware some humanities scholars have expressed concern that AI could compromise scholarly integrity. Large-language models, for example, can struggle to account for cultural nuances and often inject biased hallucinations into their output.

“This is reflected in many problems in the humanities that I’m working on — the need for AI systems to be more transparent and more easily modifiable,” he said. “If we run these models blindly, we risk incorporating undetected bias.”

Mamoli said it’s important to limit the scope of AI and think of it as a tool. 

“I strongly believe that AI should not replace the human brain,” she said. “I don’t see it replacing the scholarly work that is being done. I see it as assisting it.

For archaeologists, it may be necessary.

With so many sites being excavated, it could be the best way to keep track of hundreds of thousands of artifacts and use them to gain a clearer historical understanding. 

“Right now, I am working in the Section Iota in the Agora of Athens,” said Mamoli.

“This is a disturbed site with artifacts from all over the Agora because people have moved them for secondary uses. What if an AI model could instantly create a map to trace that movement and show exactly where these fragments came from?”

College of Computing alumna Nova Ahmed (CS Ph.D. 2010) will return to campus on Sept. 14 to discuss her two decades of experience applying technology to address social and humanitarian challenges. 

You’ve probably heard artificial intelligence models described as “open” or “closed.” These are not descriptions of the model’s personality. Large language model AIs like the one under the hood of ChatGPT don’t have actual personalities, despite appearances.

The labels refer to whether all of the information about how an AI model works is publicly available and the model can be modified, or whether the model’s developer keeps its inner workings secret and the model itself private property.

Open-Source Software

The concept of open-source software originated in the free software movement of the 1980s and ’90s. The movement’s founders believed that software creators and users had the right to “four freedoms” – to run the program, to study and modify it, to distribute copies of the original, and to distribute copies of subsequently modified versions. The fundamental requirement was that the source code – the basic instructions – for a program should be made available.

In the late 1990s, software developers associated with projects such as the Netscape web browser and the Linux operating system coined and promoted the term “open source” to refer to these ideals.

As part of the evolving movement, certain organizations developed open-source licenses that specified how a particular piece of source code could be used and distributed, including the Gnu General Public License, Apache License, MIT License and the Berkeley Software Distribution. Each type of license also specified any potential restrictions on how software patents applied to the source code.

Open Source or Open Weight?

The open-source idea has risen to prominence again in the past several years as artificial intelligence large language models have surged, notably OpenAI’s ChatGPT, released in 2022. Developers first train new models on large datasets, then deploy the models for use by other people.

Meta was one of the first large companies to release an open-source large language model, called LLaMa. The company released LLaMa on Feb. 24, 2023, and made available the “inference” source code – the instructions that run the model. And it released the so-called weights, the encoded knowledge the model learned during training. However, open-source organizations such as the Open Source Initiative have stated that the LLaMa licensing guidelines prohibit commercial reuse, which the initiative maintains is not truly open source.

Other companies have released “open weight” models, such as DeepSeek from DeepSeek AI and Qwen from Alibaba. The models have less restrictive terms for reuse, and the AI community has adopted them rapidly. Still, many developers believe that a true open-source AI model must not only include the source code and weights but also the data that is used to train the model.

A Lot to Open Up

The Open Source Initiative’s definition of a fully open-source AI model includes the training data as a key element. Some developers wonder, however, how feasible it is to distribute the enormous datasets required.

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

Now, in what he calls his “fourth quarter,” he and his wife plan to spend time with family, travel the world — and, of course, keep working, if only part-time, as the operations director for the nonprofit ministry connected to his church.

“I don’t think retirement is a biblical term,” he said. “A friend of mine referred to it as being repurposed. I suspect that as long as I have breath, I’ll work within this calling to have an impact for good.”

Holt says his computing education at Georgia Tech prepared him for every phase of his life.

“I love the challenges of problem-solving and figuring out puzzles,” Holt said, “how to make things work and then debugging it to find out things that are wrong. They’re just skills you carry through life.”

The First Quarter: Education

Holt began his college career at the U.S. Air Force Academy. While there, he met the woman who captured his heart. But because cadets weren’t allowed to marry, he dropped out of the academy to marry his wife and enrolled at Georgia Tech in 1981.

Both Holts worked hard, lived in married-student housing, and watched their pennies. That didn’t keep them from making good memories, though.

“We would watch Thursday night movies in the engineering building auditorium,” Holt said. “It was only 25 cents to attend. That theater was a kind of respite for us, something we could afford.”

His other favorite places on campus were the library and the basement of the Information building, which housed the IT department for the then-called School of Information and Computer Science.

“I was just thinking about how far things have come with AI now,” he said. “I actually had a punch card class.” 

The Second Quarter: Computing Industry

Holt graduated from Georgia Tech with highest honors in September 1983 and accepted a position at NCR. He flourished there, rising from programmer to Vice President and General Manager of NCR’s small-business computer division in just 12 years.

In the late 1990s, NCR began divesting its computer business. After 14 years with NCR, Holt took a job at Dell in 1998, a role that came with two challenges. First, he was a software expert, yet Dell put him in charge of a hardware team. Second, he took a step down in rank for the job.

“Within six months, I became the vice president and general manager of their entry-level server division,” he said. “In 2002, I became a member of the executive committee.”

His role expanded to vice president and general manager of the enterprise systems division, covering both servers and storage. The 2002 Network World annual list, "50 Most Powerful People in Networking," included Holt and a Dell colleague, both co-vice presidents and general managers of Dell Computer Corporation’s Enterprise Systems Group.

During this period, Dell significantly accelerated its push into high-density rack servers, networking switches, and enterprise Linux deployments. Rather than listing them individually, Network World grouped them by their collective impact on corporate infrastructure and named them among the final 50.

While at NCR, Russ served as a Georgia Tech contact involved in NCR recruiting. He assumed a similar role after he settled into Dell. Holt was invited to serve on the College’s Advisory Board in 2003 and remained on the board until 2015, serving as the board’s chair for the last two of those years.

His career was flourishing, but around 2002 he felt called to leave it all behind.

The Third Quarter: Ministry

When he was in his early 30s, Holt wrote a mission statement for his life as part of a broader drive to live with purpose.

It is my mission in life to experience sustaining joy by living an abundant life spiritually, socially, industrially, and financially.

Holt had been a devout Christian since childhood, and as he reached new career heights, he began to wonder whether it was time to give back by serving in ministry and living out his faith in practical ways.

“There came a point in my career when my wife asked me, ‘When is enough enough?’” he said. “Was I going to have a life that was all about me and what I could accomplish, or about giving back? We made the decision together to go into ministry.” 

While at NCR, the couple had spent 14 years attending Gateway Church in Columbia, South Carolina, a Southern Baptist Church. In 2006, their pastor was building a leadership team. Twenty-three years after graduating from Tech and after a little over 8 years with Dell, Russ stepped into ministry. Russ Holt jumped in, not as a preacher, but to use his professional skills to help the congregation.

After three years with Gateway Church, he joined Crossroads Church, a non-denominational church that had founded a non-profit organization focused on reaching the city with the gospel – the good news of Christ. The non-profit encourages churches in the city to work together, to collaborate rather than compete, and to mobilize their people where they live, learn, work, and play, so they have the opportunity to love and serve their neighbors and colleagues and to share their faith with those who are far from God but close to them.

He became the church’s executive pastor and served as the operations director for the non-profit. These roles were similar to those of a chief operating officer in industry. He helped select and implement management software as part of the church’s operations. This included designing the system’s workflows to improve processes within the church and the non-profit.

“The software industry is pretty active on the church side as well,” he said.

Crossroads Church later connected with other churches across the U.S. and, together, founded a nonprofit network operating in more than 100 cities across the U.S. and Canada. Rather than serving in traditional pastoral roles, he leaned into the same strengths that had carried his corporate career: administration, finance, staffing, strategic planning, and process design.

For example, he built workflow diagrams for how the church should handle everything from guest follow-up to staff hand-offs, applying engineering discipline to congregational life. At the nonprofit, he held similar roles, including assisting other churches with their operations and strategic planning.

His ordination came later, prompted not by a career milestone but by his youngest son's request that he officiate his wedding. After 15 years on staff, Russ began to sense another transition in his calling and purpose.

The Fourth Quarter: Service

Holt describes his life in roughly twenty-year arcs. The first twenty-two years prepared him for adulthood; the next twenty-three were spent in the computing industry; and the following twenty were devoted to full-time ministry. Now 65, he is “re-purposing” to focus on family and the non-profit ministry.

He and his wife have three adult children, seven grandchildren, and have been married for forty-five years. This year, they are taking a river cruise down the Rhine, and next year, they're headed to the Cotswolds with Georgia Tech Alumni.

He is not stepping down from his mission, however. Holt continues to serve as an elder with Crossroads Church and, in his part-time role as operations director, will continue serving with the non-profit network, which now has 37 active city movements across North America.

“It wasn’t a drastic shift,” he said. “It was more of a, ‘I want to drop the HR, the administration, the business financial side of running the church, and just dedicate half my time, 20 hours a week, to this nonprofit.’”

Although he divides his life into quarters, Holt says there’s been a strong thread running through it.

“My identity is wrapped up in my faith in Christ,” Holt said. “I feel like my time at Tech and in industry was preparing me with skills I could apply to ministry – to helping the church and serving ministry leaders.”

The award is the NSF’s most prestigious honor for early-career faculty and supports researchers with the potential to serve as academic role models and to lead advances in their department or organization.  

"Receiving the NSF CAREER Award is a tremendous honor and an opportunity to advance my long-term research agenda,” Saeed said. “It was only made possible by the creativity and dedication of my students and the unwavering support and guidance of my family and mentors.” 

Modern data center servers manage resource allocation and load distribution separately, which can result in conflicting decisions. A key idea behind Saeed’s proposal is to develop an integrated view of these operations to improve efficiency without requiring additional hardware. 

“When performing operations jointly, you can maximize performance and completely eliminate the chances of conflict,” Saeed said.  

Another driver of the project is what Saeed calls the “single queue fallacy.” This occurs when data center load controllers assume that all incoming requests to a server wait in a single queue to be processed. 

In reality, servers are much more complex than this and can handle multiple queues at the same time. Modern workloads have heterogeneous load requirements, meaning that different requests end up landing in different queues. 

“This single queue fallacy can lead to severe underutilization of these servers,” he said.  

Recent research by Saeed shows that a server’s throughput can be doubled by avoiding the single-queue fallacy.  

The potential benefits of this project are wide-ranging and impactful. Maximizing server efficiency would reduce costs and energy use. With fewer resources needed, the project could contribute to more sustainable computing infrastructure. Lower operational costs would benefit companies, application developers, and users. 

“The goal of my proposal is to develop mechanisms and policies that can allow data center operators to easily maximize the utilization of all hardware,” he said.  

As part of the educational component of his proposal, Saeed plans to organize competitions for students to design more efficient load and resource management algorithms using artificial intelligence.  

In addition to this award, Saeed was named a Brook Byers Institute for Sustainable Systems (BBISS) Faculty Fellow last fall to support his goal of making data centers more sustainable.  

Professor Hyesoon Kim has been named the new chair of Georgia Tech’s School of Computer Science (SCS). She assumed the role on Aug. 1.  

“The future of computing extends far beyond the tech industry alone, and every sector increasingly relies on computational thinking and digital tools,” Associate Dean for Undergraduate Education Olufisayo Omojokun said. 

“Students who double major embody that vision by combining technical skills with expertise in another field. That combination prepares them to solve real-world problems in innovative ways.”

While the national average for double majoring across all undergraduate disciplines sits at roughly 11%, Tech students are charting their own distinct paths. Among recent computer science graduates, 17.5% (596 students) successfully completed at least one minor, and 3.8% (131 students) graduated with a full double major.

“Overall, interdisciplinary interest is high, especially in areas like math, robotics, and economics,” said Bethany Mason, director of computing enrollment.

A Snapshot of Interdisciplinary Paths

While mathematics remains the most common pairing, computing students combine their studies with other fields in a wide range of ways. These combinations reflect individual interests and career goals, shaping how students translate technical skills into different professional contexts.

The top double majors among recent College of Computing graduates are mathematics, applied languages and intercultural studies, and industrial engineering.

Other recent graduates have minored, with Fintech, Mathematics, and Computing and Business being the top choices. 

Students pursue degree combinations for a variety of reasons. Elliot Huang (CS and Psychology, 2026), for example, added psychology after becoming interested in how people think. He now applies both fields in computational cognitive neuroscience research.

For Hunter Richardson (CS and Business Administration, 2026), the connection between computing, accounting, and data systems made business a natural complement to his CS studies. He said the combination also helped him during recruiting and will inform his work in Tech Assurance at KPMG.

Oliver Lee (CS and Electrical Engineering, 2025) was drawn to electrical engineering after developing an interest in embedded systems, computer vision, and physical devices. His CS background now gives him a software foundation to apply to hardware and engineering projects.

For Aaron Huang (CS and Biochemistry, Spring 2027), the path to a second major was influenced in part by his parents, both physicians. He has since combined his interests through research in medical labs, where computational methods are increasingly central to the life sciences.

Looking Ahead

The success of these students highlights a clear mandate for the College of Computing: to support and expand these impactful pathways even further.

“Our role is to support those pathways with curricula and advising that make it feasible for students to meaningfully integrate rigorous computing preparation with study across other fields, so they graduate prepared for a wide range of careers and graduate programs,” Omojokun said.

Moving forward, the College is actively exploring how to broaden and formalize more of these interdisciplinary tracks. 

“We don't want students to just manually piece together a double major; we want to build structured frameworks that seamlessly blend disciplines from day one,” Omojokun said.

“We’ve already proven it can be done. For years, the immense student demand for combining mathematics and computer science led directly to the creation of our formal, joint mathematics and computing major.” 

Looking to the future, the College will use that successful blueprint to design even more formalized joint degrees, helping the next generation of Yellow Jackets change the world through the exponential power of computing.

For Aaron Hung, double majoring in computer science (CS) and biochemistry has enabled him to explore two fields that are increasingly interconnected through technology.  

For Oliver Lee, a passion for software led to a desire to build things he could see and touch. The 2025 computer science (CS) graduate is completing a second major in electrical engineering, where he’s developed an interest in microelectronics, semiconductor physics, and integrated circuits.  

Double majoring in computer science (CS) and psychology offered Elliot Huang complementary perspectives on how people think, solve problems, and make decisions. The 2026 Georgia Tech graduate combined the two fields through his coursework and research in computational cognitive neuroscience. 

For Hunter Richardson, pairing computer science with business administration made sense. Building on his interest in data systems and accounting, the 2026 Georgia Tech alumnus saw double majoring as a solid foundation for understanding how technology can be applied across industries.  

SIGGRAPH, however, gave him another reason to return for its 2026 conference in Los Angeles.

Foley accepted the organization’s Distinguished Educator Award, presented annually since 2019. 

“I guess it wasn’t my last one after all,” Foley said. 

The award recognizes SIGGRAPH members who have made impactful contributions to computer graphics in educational environments. Foley has a strong pedigree in this area.

He co-authored the 1982 textbook Fundamentals of Interactive Computer Graphics, which was renamed in its second edition as Computer Graphics: Principles and Practice. With over 1,100 pages, it is widely regarded as the foundational text of modern computer graphics and animation.

“Some people called it ‘the bible’ of computer graphics, though I think there were some other good graphics textbooks,” Foley said. “We covered many different aspects of computer graphics, from hardware to algorithms to software systems to user interface and design.

“It stands out as an all-encompassing textbook, whereas current books are targeted at specific aspects of computer graphics rather than a broad introduction.”

Foley co-authored the first edition with Andries Van Dam, a professor who co-founded Brown University’s Department of Computer Science. Van Dam was the first to receive the Distinguished Educator Award in 2019.

“I had people thanking me for the book while I was at the conference and telling me it was the first book they learned computer graphics from,” Foley said. 

Foley came to Georgia Tech in 1991 and founded the Graphics, Visualization, & Usability (GVU) Center, which merged with Tech’s Institute for People and Technology (IPaT) in 2023. GVU faculty helped establish Georgia Tech’s prestigious reputation in computer graphics, and GVU students became highly sought after by video game and film animation studios, including Disney and Pixar.

Foley and other GVU faculty were also at the forefront of the emerging field of human-computer interaction (HCI).

Foley said he enjoyed teaching in the classroom as much as anything and preferred practical approaches.

“I was always big on learning by doing, so I always had projects in my class that made students apply what I was talking about and not just regurgitate stuff on exams,” he said. “I think students enjoy having that hands-on experience.”

However, teaching was something he had to learn.

“I wasn’t good at it at first, but I think writing the book helped with that,” he said. “When you write a book, you discover how much you don’t know about something because you’re trying to carefully explain it so other people can understand.

“It makes you do more thinking, work through the explanations so that it makes sense to you and the reader.”

Georgia Tech established the James D. Foley Endowment in 2007 to honor his achievements. Since then, annual fellowships in his name have been awarded to outstanding graduate students. 

The 2026 Foley Scholar Awards will be announced in November. 

Now, as Professor Edmond Chow prepares to teach at Georgia Tech-Europe for the 2026-2027 academic year, Professor Polo Chau is stepping into the role of associate chair to help guide the School’s next phase of growth. 

Their leadership transition comes at a time when demand for expertise in artificial intelligence (AI), data science and analytics, and high-performance computing accelerates across industry, government, and academia.

“On behalf of the students, faculty, and staff of CSE, I extend our heartfelt gratitude to Edmond for his years of dedicated service as associate chair,” said School of CSE Regents’ Professor and Chair Haesun Park.

“Polo is a respected leader, an accomplished scholar, and a passionate advocate for our community. I am confident he will build on Edmond’s strong foundation to guide the School's continued success.”

The School of CSE associate chair helps lead faculty development, academic planning, and new initiatives. These responsibilities include course scheduling, teaching assignments, and reviewing proposals for new courses.

Rapid growth defined Chow’s tenure as associate chair, which started in summer 2021. 

As associate chair, Chow led CSE’s faculty recruiting committee. The School hired 15 new professors during his term, doubling the faculty in that span.

Chow’s relationship with new hires didn’t end with recruiting. Each new professor needed support to onboard smoothly, which he helped facilitate by pairing new hires with faculty mentors in the School. 

Chow helped new and veteran faculty alike design courses centered on their expertise and the field's emerging needs. As a result, he broadened and enriched the CSE curriculum at Georgia Tech. 

Chow led CSE’s effort to secure space in the Coda Building to accommodate so many new faculty and students. With his help, the School added the east wing of the 13th floor and space for four labs on the fifth floor.

While at Georgia Tech-Europe, Chow will teach CS 7545: Machine Learning Theory and CS 1371: Computing for Engineers. 

Chow is a fellow of the Society for Industrial and Applied Mathematics (SIAM). Like CSE, the professional society recognized Chow’s leadership and administrative talents, selecting him for several roles.

With his associate chair responsibilities concluded, Chow will focus more on his role as SIAM’s vice president for programs. He also co-chairs the organizing committee for the SIAM Conference on CSE, to be held Feb. 22-26, 2027, in Pittsburgh.

Previously, Chow served as vice chair of the SIAM Activity Group on CSE from 2025 to 2026. He co-chaired the organizing committee for SIAM’s 2022 annual meeting. 

"It has been an honor to serve CSE,” Chow said. “I am also inspired to have worked alongside others, including Haesun, who care so much for the School.”

Since joining Georgia Tech in 2012, Chau has distinguished himself as a leading expert in data science and AI.

Chau’s research combines machine learning and visualization to create scalable, interactive tools. His lab has developed applications for studying massive datasets, interpreting complex AI models, and solving real-world problems in cybersecurity, human-centered AI, graph visualization and mining, and social good.

Chau has taught CSE 4242/6242: Data and Visual Analytics since 2013. The course has grown into the world's largest semester-long university class on the subject. More than 19,600 students have taken the course throughout its history.

Alongside his research and teaching, Chau has held several leadership roles at Georgia Tech.

Since 2014, Chau has served as associate director of Georgia Tech’s M.S. Analytics program. The program celebrated its 10th anniversary in 2024, when he received the Innovator Award for his leadership and pioneering approaches to analytics education.

In 2019, Chau accepted roles as director of industry relations for the Institute for Data Engineering and Science (IDEaS) and as associate director of corporate relations for the Machine Learning Center (ML@GT). Chau recently stepped down from his leadership positions with IDEaS and ML@GT to accommodate his responsibilities as CSE’s associate chair.

“I enjoy building deep connections with people, and this role provides a lot of opportunities to do that,” Chau said. “Faculty development helps my colleagues build the careers that they want, and collectively shape CSE’s future. That’s what I look forward to the most.”

Karamcheti said there are times when he doesn’t see any humans at all. Those instances reinforce the perception that robots are replacing humans rather than assisting them.

“You have humanoid robots doing things like folding laundry, and you see videos of it on social media,” Karamcheti said. “It bothers me that in all these videos, I see the robot doing these tasks alone without a single person around them. True human-robot collaboration is missing.”

As he joins the Georgia Tech School of Interactive Computing as an assistant professor, Karamcheti seeks to improve human-robot collaboration and maximize output through his research. 

Karamcheti comes to Tech after earning his Ph.D. in computer science (CS) from Stanford University. He also holds bachelor’s degrees in CS and literary arts from Brown University. 

In addition to human-robot interaction, he has conducted research on fine-tuning vision-language-action (VLA) models. 

VLAs are artificial intelligence (AI) systems typically built by fine-tuning vision-language models (VLMs) or large language models (LLMs). They use visual perception, natural language, and physical action to perform tasks.

“I have a high-level vision of what I think robotics should be, but there are many winding paths I like to take along the way as I try to understand why something works the way it does,” Karamcheti said.

Karamcheti said his vision was inspired by the movie Iron Man and by how the main character, Tony Stark, interacts with robots in his lab.

“I don’t want a robot that replaces all the work I’m doing in my life,” he said. “I want a robot that’s embedded in my life like my laptop or smartphone.

“They’re making it possible for me to do more things. I also want to make it so that robots start doing more and learning more when I leave the room.”

Karamcheti said the School of IC is a “dream” job for him because of its renowned faculty in human-robot interaction. It’s the ideal place to keep humans at the center of his research.

“We must design models around interaction and the idea that there’s going to be a person in the room. Robots don’t need to be perfect at any one thing. They just need to be able to ask for help when it’s needed and learn from those teaching interactions.”

Karamecheti said many robotics researchers are pursuing robots that are as close to perfect as possible so they can operate without human oversight. However, the amount of money and data needed to get there is substantial.

“I think you see diminishing returns with scale. If a robot performs tasks correctly 90% of the time, the data required to go from 90% to 95% is much less than that required to go from 95% to 99%. Many robotics companies and labs are investing to reach a 99% success rate,” he said.

Karamcheti added that the pursuit of perfection shouldn’t prevent a robot from being deployed. They could be deployed at 95% and increase their success rate by working with and learning from humans.

“Once I have a robot that’s 95% capable, I understand that 5% of failures will occur for a specific task. If I know a human is always going to be near the robot, I can design a system that sequences tasks and anticipates human intervention.”

Karamcheti is recruiting students to join his lab who bring new perspectives to robotics.

“I’m looking for students who aren’t afraid to challenge common assumptions and who enjoy hacking and building,” he said. “I want to work with students who have strong opinions about how robotics should look.”

The answer is yes. Ozdemir demonstrated the technique by taking a piece of paper with a small Waldo-shaped hole cut out and placing it over the page. The demonstration confirms that Waldo is on the page without revealing his location or other details and is a simple example of a concept called a zero-knowledge proof.

In computer science, zero-knowledge proofs allow one person to prove that something is true without revealing the information that makes it true.

These types of problems sit at the center of Ozdemir’s work. As a computer scientist and cryptographer, he studies ways to use mathematics and computer programs to protect information. But his work goes beyond creating new methods for keeping data secret. He is interested in connecting those methods to the computer systems that use them.

“I get excited about what no one else is working on,” he said. “What I’m excited about now is how you relate the security of a computer system to a crypto scheme.”

Two recent papers published at USENIX Security show how Ozdemir is applying this approach to real-world privacy and security problems.

One of these problems is how to handle sensitive information without revealing it.

Imagine two organizations want to combine or analyze information, but neither wants to share its private data with the other. Cryptography can make this possible, but some of these privacy protections can be slow and difficult to use with large amounts of information.

Ozdemir and his collaborators developed a new system called FLOSS (Fast Linear Online Secret-Shared Shuffling) to make one of these tasks much faster.

FLOSS allows two parties to mix a set of private information without either party seeing the original data or learning the final order. This process, known as shuffling, is useful in privacy-preserving applications such as data analysis, anonymous messaging, and private advertising.

In tests, FLOSS shuffled more than one million items in less than half a second, making it more than 800 times faster than previous leading methods.

FLOSS achieves much of this speed by doing some of the hard mathematical work in advance, before the actual data is available. When the data arrives, the system can complete the shuffle quickly, with very little communication between the two computers.

The system is designed to protect against cheating. If one of the parties tries to manipulate the process or access information it shouldn’t, FLOSS can detect the problem and stop the computation.

The researchers also used FLOSS to create a faster way to sort private information. Sorting is a basic computer task but doing it while keeping the information secret can be expensive. Making that process faster could allow privacy-preserving tools to handle much larger amounts of data.

Ozdemir tackled another problem through a project called Orbit: How can computers perform useful work on information that remains encrypted?

Fully homomorphic encryption, or FHE, is a form of encryption that allows computers to perform calculations on protected data without first decrypting it. For example, a hospital could send encrypted medical information to a cloud service for analysis without the service seeing the patients' records.

The challenge is that this type of computing can be extremely slow.

Orbit is a computing tool called a compiler that helps make these encrypted calculations more efficient. A compiler takes computer code and turns it into instructions that a computer can run. Orbit examines an entire computation and identifies more efficient ways to handle some of the most expensive steps in fully homomorphic encryption.

Rather than treating those steps separately, Orbit looks at how they work together and identifies opportunities to reduce the amount of work the computer must do.

In tests, Orbit was between 1.19 and 1.73 times faster than previous leading systems on the workloads studied, including complex tasks such as running artificial intelligence models. The calculations also remained within 0.3% of the accuracy of those performed on unencrypted data.

For Ozdemir, projects like FLOSS and Orbit are part of a broader goal: making advanced cryptography practical enough to use with the computer systems people use every day. 

Now at Georgia Tech’s School of Cybersecurity and Privacy (SCP), Ozdemir is recruiting Ph.D. students from across the computing stack to work with him. He was drawn to Georgia Tech in part for its multidisciplinary approach to security.

“I also just love being around universities,” he said.

At SCP, Ozdemir plans to continue exploring programmable cryptography across the computing stack, integrating cryptography, compilers, and automated reasoning to address security problems from multiple angles. He received his Ph.D. at Stanford University and bachelor's degree from Harvey Mudd College. 

For Georgia Tech Assistant Professor Veronica Rivera, the growing role of AI in daily life raises important questions about what happens when technology designed to help people puts their privacy and safety at risk.

Rivera studied AI at the University of California, Santa Cruz, but her research has increasingly focused on how people interact with technology and the risks that can emerge from these interactions. Her work examines technology-facilitated risks and abuse. She uses research and innovative design approaches to understand digital safety risks and develop tools that better protect people.

One area she is exploring through her recent Computing Research Association Trustworthy AI Research Fellowship for Early Career Scholars is the design of safe AI tools for labor unions.

“Unions are developing AI tools to sort through complaints,” she said. “Many of these are built with proprietary AI models, which leads us to ask what the risks are of sharing personal information through these tools.”

Rivera wants to give unions more control over how workers’ data is collected and used. One way she plans to explore this is through a workshop at the upcoming ACM Conference on Human Factors in Computing Systems, where union leaders and technical experts collaborate to develop a secure reporting tool.

This research will build on Rivera’s recent work focusing on platform-based gig workers. A paper she published this year at the Symposium on Usable Privacy and Security examined how freelance workers often use secretive "digital whisper networks," informal online communities where people warn one another about workplace abuse.

Rivera and her team found that these workers often avoided formal reporting channels when they experienced wage theft, discrimination, health and safety violations, or sexual misconduct. The study highlighted the need for secure channels that allow workers to report abuse and organize without further endangering themselves.

“There needs to be a way to report this abuse,” Rivera said. “But how you do that in a safe and secure way is something we don’t yet have answers for.”

Rivera is also expanding her research beyond the workplace to examine technology-based threats and abuse in romantic relationships. As a new assistant professor at Georgia Tech’s School of Cybersecurity and Privacy, she plans to study how AI can blur the line between technology and intimacy.

Consider a person who creates an AI chatbot that imitates someone they know, turning that person’s likeness, personality, or private information into a virtual romantic partner without their consent. If that happens, Rivera asks, what protections does the person have? How can the chatbot be reported and removed?

Existing policies and reporting systems may not adequately address situations like these. In fact, they can pose new challenges for people whose identities or personal information are used without their permission.

Another project Rivera would like to explore is how platforms handle abuse involving romantic chatbots. Rivera has reviewed Reddit discussions in which users expressed concerns about reporting abusive behavior and about what happens to the intimate information they share with their chatbots.

“There is a lot of confusion on what these platforms know about their users’ intimate details based on their chats,” she said. “There is also a lot that isn’t known on the back-end of abuse reporting.”

Rivera has identified a need to design safer reporting features so people feel comfortable reporting abuse while also knowing their personal information will remain private.

She plans to cover these topics and more this fall in her new course that explores sociotechnical security. Rivera says working within SCP’s interdisciplinary structure gives her the opportunity to explore these research problems from multiple angles.

“It is hard to find a place for the work I do in security and privacy,” Rivera said. “Our goal is to protect users from bad things, and SCP approaches it from several different angles.”

For Rivera, this means studying not only how technology can be secured, but how it can be designed to protect the people who rely on it.

Rather than rushing the drive, the couple’s cross-country road trip included several stops to visit family and friends, explore new parts of the country, experience changing landscapes, and enjoy the adventure of the open road.

The journey began in Claremont, California, where they met as students at Harvey Mudd College. After packing their belongings into Pods, they headed north to Sacramento to spend the Fourth of July with family. From there, they drove to Eugene, Oregon, to visit more family and friends.

Then they turned east and began the long drive to Georgia. 

Rivera and Ozdemir stayed two nights and a full day at nearly every stop. The plan was to have enough time to experience each place they visited while still making it to Atlanta in time to watch the World Cup Final at their new place.

The trip went well overall, but summer weather presented challenges along the way.

“At every stop, we experienced a different kind of heat,” Ozdemir said. “Boise’s dry heat was the worst, and Nashville came in second for its humidity.”

“Boise’s heat made it feel like our skin was going to melt off our bones,” Rivera said.

Both said the trip was unlike anything they had done before. They had traveled outside California, but neither had taken a road trip of this scale. The journey gave the couple a chance to see much more of the country.

For Rivera, one highlight was the ecological diversity.

“Oregon was lush in parts, and very dry and flat, like California,” she said. “We just got back from Germany, and in Europe you have to travel between countries to see the diversity we saw in the U.S.”

The drive took them through the Rockies, the Great Plains, and ultimately the lush mountains of Northwest Georgia.

“I didn’t want to fall asleep in the car because I didn’t want to miss the scenery,” Rivera said. “I really liked the mountains in Oregon and western Colorado.”

Ozdemir also enjoyed the changing landscapes, but he said his favorite part of the trip was the people they met along the way. He enjoyed seeing family and friends they do not regularly get to visit.

The couple found different ways to pass the time in the car. As they drove through each state, Ozdemir would look up facts about it and read them aloud. They also filled the miles with music and audiobooks, listening to two books from Freida McFadden’s The Housemaid series.

“It kept us guessing until the end,” Rivera said of the audiobooks.

The playlist ranged from Noah Kahan to the Red Hot Chili Peppers to Southern rock classics. When Rivera was driving, Taylor Swift was a regular in the mix.

The stop in Nashville added another memorable soundtrack to their road trip. They were struck by the abundance of live music throughout the city. From the farmers market to restaurants, “it felt like everyone was trying to make it as a musician,” Rivera said.

To keep them company during their journey, Rivera and Ozdemir shared their road trip with an unexpected travel companion: Buzz the Bee.

When Ozdemir interviewed at Georgia Tech, he received the plushie as a gift. The plushie accompanied them on the cross-country trip, appearing in photographs at Utah’s Arches National Park and beside several state welcome signs along their route.

After their weeks long long odyssey, they arrived in Atlanta in mid-July, just in time for the World Cup final. Or so they thought. Atlanta traffic and spotty internet nearly derailed their plans.

But after arriving at their Midtown apartment, the couple managed to stream about half the game over a mobile hotspot before their wireless provider limited their service.

“We watched the second half of the game with varying levels of video quality,” Ozdemir said.

With the journey from where they met to their new home in Atlanta behind them, Rivera and Ozdemir are preparing for the new academic year. Ozdemir is a security researcher specializing in programmable cryptography, while Rivera focuses on human-centered security and privacy.

School of Computing Instruction (SCI) faculty member Nimisha Roy has been named director of online undergraduate initiatives, a new role created to expand online undergraduate programs and broaden access to computing education at Georgia Tech. 

She took on a new one when she was promoted in the spring to Faculty Support Coordinator II in Georgia Tech’s School of Interactive Computing.

In addition to submitting proposals for SIC faculty to the National Science Foundation, the National Institutes of Health, or other government agencies, Kearney manages the hiring of student workers in the School. This can exceed 1,000 students over the course of the year.

“It’s graduate teaching assistants, graduate research assistants, student assistants, and graduate assistants, all of them,” Kearney said. “I enjoy learning new things.”

Kearney said she’s always been able to find new things to learn while working in financial administration, a field she discovered in high school through a summer job in accounts payable.

“I think that’s where it all started,” she said.

Kearney has held several finance roles since she moved to Atlanta 20 years ago. She spent 10 years at Georgia State University before joining SIC’s administrative staff in 2023.

During her career, the New Jersey native has handled everything from preparing spend authorizations and managing budgets to scheduling events, processing travel expenses, faculty supplies, and reimbursements.

In SIC, she balances all of that with the most important part of being a faculty support coordinator — grant proposals. The funding that faculty rely on for their research hinges on Kearney meeting deadlines under pressure. While she does less of that now, it can still create a heavy workload throughout the year.

“You just have to stay on top of it,” Kearney said. “Before you know it, it’s due, and you might not get everything you need until the day of. Then this has to be changed, and something else isn’t right. 

“It can be a lot if multiple proposals are due around the same time. But knowing that you helped work on a proposal that was rewarded is a good feeling.”

Although she was born in New Jersey, most of Kearney’s family is from Georgia. She and her husband are New York Knicks fans and recently celebrated the team’s first NBA Finals championship since 1970.

When her mother and sisters started returning to their roots in Georgia, she figured she should move to the Peach State since she was visiting so often.

“We always came to visit family,” she said. “My mother and father saved all their vacation and took a month off every summer, and that’s what we would do. My mother ended up going back to Georgia, and then two of my sisters moved here. I started visiting them a lot and thought I might like to live here.”

Kearney said she most enjoys spending time with her extended family in Georgia.

When the Fall 2026 semester begins, her job will be as busy as ever, as she estimates she will have to process hundreds of student hires.

“It’s definitely a challenge,” she said. “But I’m still learning, and I’m enjoying that part of it.”

CultivAgents is a three-agent system that fields gardening questions and creates tailored plans based on a user’s gardening skill level, climate and environment, and cultural background.

The experience agent, environmental agent, and ethnobotanical agent inform one another and work together to guide users through the gardening process.

“Multi-agent systems provide multi-faceted support,” said Diana Wang, a Ph.D. student in Georgia Tech’s School of Interactive Computing who created CultivAgents. “My interest was in how we could provide more personalized and aligned support to individuals trying to grow food themselves while facing unique environmental or cultural factors.”

Gardening is a hobby that many people start but give up because of the time and effort it requires to be successful. Ryan Pemberton, a horticulturist at Georgia Tech’s community garden, said the two biggest mistakes he sees novice gardeners make are starting too big and overwatering.

“If you’ve never gardened before, trying to manage a large plot could be overwhelming,” Pemberton said.

“You can start small. You don’t have to have a big garden right away. You can start with one tomato plant and grow from there. See how well you can keep that one plant alive and then expand as you feel comfortable.”

Aside from the built-in health benefits of growing fresh food and working outdoors, Pemberton said gardening can lower your grocery bill and reduce carbon emissions by minimizing food transportation. 

It can also be a great way for international students at Tech to grow foods native to their homelands. He said a tool like CultivAgents could be useful for determining whether Atlanta’s climate is suitable. 

“People might want to grow a lot of different vegetables in their garden, but if you go too far south of here, it gets a little too hot to grow things like broccoli and strawberries,” he said. 

“A little north of here, it gets a little too cold to grow some species of peppers. Having something tell you what grows well in your region means you’re not having to pick and choose or guess.”

That’s one of the reasons Wang designed CultivAgents to feature multiple agents that consider unique environmental and cultural contexts.

“Multiple agents help distribute specific types of support as opposed to the generic support you often get from a single chatbot,” Wang said.

“Another advantage is that they tend to build on each other. The environmental agent builds on the experience agent’s detailed steps. This allows the system to tell you how to grow bush beans, for example, within a specific local community.”

Wang said she surveyed and interviewed new and experienced gardeners who use Tech’s community garden to learn what they would want from a conversational agent. She found that many wanted step-by-step instructions and guidance on what to plant, how to plant it, and a schedule for upkeep.

“All of our users told us they view gardening as something that’s long term, so they wanted this platform to be able to facilitate that kind of relationship,” she said.

The community garden is a shared space with nine garden beds. Pemberton said it’s a great place for new gardeners to learn to grow food before starting their own gardens. Much of the food grown there is donated to Klemis Kitchen, Georgia Tech’s on-campus food bank.

For more information about the community garden and how to get involved, visit https://sustainability.campusservices.gatech.edu/community-garden/

To see a live demo of CultivAgents, visit https://cultivagents.onrender.com.

“I wanted to help students,” he said, “the ones who need it the most.”

Battaglia serves as VP of Engineering for Sysdyne, a cloud-native software platform for the construction materials industry – concrete, asphalt, gravel. He calls it “Sweaty SaaS.”

“It’s the ugly industries that are my bread and butter now.”

He has a long history of entrepreneurship. During a Georgia Tech study-abroad program in Barcelona, he crossed paths with Oscar Pierre (AE 2014), joining him on the ground floor of what became Glovo, now one of Europe’s largest delivery platforms.

Back in Atlanta, Battaglia joined a team for the Inventure Prize competition that served as the basis for FIXD, which makes a device that decodes check-engine lights for drivers. He helped launch the company, serving as a founding engineer.

He later co-founded Triple Axle, a routing platform for the specialty trucking industry, before joining Slabstack – a CRM and pricing platform for concrete, aggregate, and asphalt producers – as a founder and CTO. Sysdyne acquired Slabstack in December 2025.

When he was at Tech, Battaglia did “a little of everything” – lacrosse, Phi Delta Theta, a co-op at GTRI, study abroad in Barcelona. He started in 2012 and graduated in December 2017, having taken time along the way to work with startups and travel.

He says Tech’s emphasis on applied computing – not just computer science theory – prepared him well for a career spent building real products in unglamorous industries. “It’s about what you do with the skills, not the skills themselves,” he said. The scholarship, he adds, was always going to be for the College of Computing. “I just wanted to make sure it was going to the right place.”

“For me, it was like my playground,” he said. “I’m so thankful I got exposed to so many different things.”

Veronica Rivera, an incoming assistant professor in Georgia Tech's School of Cybersecurity and Privacy (SCP), studies human-computer interaction, security, and privacy to create safer digital experiences. Her research earned her selection to the second cohort of the Computing Research Association (CRA) Trustworthy AI Research Fellowship for Early Career Scholars.

"I am excited and honored to be part of this year's CRA Trustworthy AI Research Fellowship cohort," said Rivera. 

"This program reflects the importance of cross-disciplinary research and collaboration in building AI systems that benefit and support society. I look forward to spending the next year building collaborations that support me and my students' research into protecting the digital safety of the diverse communities who use AI tools."

Rivera's research examines how technology shapes interpersonal relationships. Using empirical and design-based methods, she partners with communities affected by technology-facilitated abuse to understand digital safety risks and develop technologies that better protect users.

Through the fellowship, Rivera will study how AI is reshaping technology-facilitated abuse and develop data collection methods that enable researchers to assess these evolving risks over time.

"Trustworthy AI is a key research area in the School of Cybersecurity and Privacy and the College of Computing," said SCP Interim Chair Mustaque Ahamad. "The CRA Trustworthy AI Research Fellowship recognizes Veronica's innovative research and will help her build a research program that advances an area of strategic importance to our school and the broader AI community."

Supported by Microsoft, the CRA Trustworthy AI Research Fellowship recognizes early-career computing researchers who combine technical expertise with interdisciplinary approaches to address the ethical, societal, and human-centered challenges of artificial intelligence. The fellowship provides interdisciplinary training, mentorship, and collaboration opportunities that help researchers integrate ethical, societal, and human-centered perspectives into AI research and development.

Over the next year, Rivera and the other fellows will participate in a series of professional development activities, including a four-day Field School in Cambridge, Massachusetts. The program also includes quarterly virtual meetings, mentoring opportunities, and collaboration with scholars participating in related AI and data ethics programs.

DeMillo was among 80 computer scientists worldwide selected for the Academy's founding class and was the only Georgia Tech faculty member recognized.

"I am honored to be included in the inaugural class of the ACM SIGSOFT Software Engineering Academy," said DeMillo. "This recognition reflects the work of outstanding students, collaborators, and colleagues over many years. Software engineering research has transformed the way society builds and depends upon software, and I hope our community will continue to advance the scientific foundations needed to make software more reliable, secure, and worthy of the trust people place in it."

Established by ACM SIGSOFT, the Software Engineering Academy is a standing body of honor that recognizes members of the software engineering community whose lasting technical contributions, leadership, and service have shaped the field. The Academy celebrates researchers whose cumulative work and influence have advanced software engineering as both a scientific discipline and professional practice.

"Rich's research in software testing is recognized among the most influential contributions to the field of software engineering," said SCP Interim Chair Mustaque Ahamad. "His inclusion in the inaugural ACM SIGSOFT Software Engineering Academy demonstrates the lasting impact of his research on building more reliable software systems."

The inaugural class was selected from leaders whose contributions have already been widely recognized across the software engineering community, including ACM Fellows and recipients of ACM SIGSOFT's Outstanding Research Award. Beginning next year, new Academy members will be elected annually through a community nomination process.

DeMillo served as the founding chair of Georgia Tech's School of Cybersecurity and Privacy, the first school of its kind at a top research university. He previously served as the John P. Imlay Dean of the College of Computing and directed the Georgia Tech Information Security Center.

Throughout his career, DeMillo has held leadership positions across academia, industry, and government. He served as Hewlett-Packard's first chief technology officer, led computing research at Bell Communications Research, directed the Computer Research Division at the National Science Foundation, and led the Software Test and Evaluation Project in the Office of the Secretary of Defense.

His research spans software engineering, cybersecurity, election security, and the societal impacts of digital technology. His 1979 paper, Social Processes and Proofs of Theorems and Programs, is widely regarded as a foundational work in software engineering and has been recognized as one of the 50 most influential papers in computer science.

In addition to his research, DeMillo has helped shape higher education through the creation of Georgia Tech's Center for 21st Century Universities. He is a fellow of both the Association for Computing Machinery and the American Association for the Advancement of Science.

SCI Instructor Pedro Guillermo Feijóo-García was selected by Fulbright Colombia to moderate the closing panel of the Fulbright Reimagined Summit 2026: AI Horizons: Learning Pathways for Tomorrow.

Held last month at Universidad del Norte in Barranquilla, Colombia, the summit convened scholars, educators, policymakers, and industry leaders to examine how artificial intelligence (AI) is transforming education, work, governance, and society.

Fulbright Colombia invited Feijóo-García to moderate the closing discussion, From Adopters to Architects: Professions of Tomorrow, in recognition of his research on human-AI interaction and the hidden curriculum in engineering and computer science education.

"As a Fulbright alumnus, being invited to contribute to such an important event was an honor and a privilege," Feijóo-García said. "Beyond the personal recognition, I viewed this opportunity as a meaningful platform to facilitate conversations around the future of education, technology, and workforce development."

From Computing Education to AI Futures

At Georgia Tech, Feijóo-García directs the People-Agents Research for Computing Education (PARCE) Laboratory. His research examines the intersection of computing education, STEM learning, and AI, focusing on student preparedness, professional development, and the hidden curriculum- which he explains as the implicit skills and expectations that shape students' academic and career success. 

Feijóo-García says his perspective is shaped by years of work in computing education. During his master's studies in systems and computing engineering at Universidad de los Andes in Colombia, he explored ways to expand access to computing education through interactive programming environments. He went on to earn his Ph.D. in human-centered computing from the University of Florida, where he focused his research on computing education and human-centered AI.

"AI is transforming how we learn, work, communicate, make decisions, and interact with one another," Feijóo-García said. "As educators, we need to prepare students not only with technical competencies, but also with critical thinking, ethical reasoning, collaboration, and the ability to adapt."

Preparing Students for the Professions of Tomorrow

Rather than viewing AI as a challenge for higher education, Feijóo-García sees it as an opportunity for universities to rethink how they prepare students for an evolving workforce. He believes educators should help students develop the judgment to know when AI can enhance their work and when independent reasoning and human expertise are essential.

"The conversation should not revolve around whether AI belongs in education, but rather how we integrate it responsibly and intentionally," Feijóo-García said.

He also hopes students begin to think of AI not only as artificial intelligence, but as augmented intelligence. "The goal should not be to replace human thinking, but to enhance it," he said.

Feijóo-García emphasized that AI should augment human capabilities rather than replace human judgment. Preparing students for an AI-driven workforce requires helping them understand when AI can support their work and when human reasoning, creativity, and expertise are essential.

Strengthening U.S.–Colombia Collaboration

The summit reinforced the value of collaboration among scholars, educators, policymakers, and industry leaders in advancing research and education. Earlier this year, Feijóo-García participated in another Fulbright Colombia event focused on strengthening scientific collaboration between Colombia and the United States.

The Fulbright Program, which operates in more than 160 countries worldwide, is the United States government’s flagship international academic exchange program to support peaceful relations between the people of the U.S. and the people of other countries. Fulbright Colombia, the binational commission for educational exchange between the U.S. and Colombia, has supported academic and scientific collaboration between the two countries since 1957.

Feijóo-García’s academic journey reflects the impact of these collaborations. The Fulbright Program supported his doctoral studies in the United States, and he continues to build connections between Colombia and the U.S. through his work at Georgia Tech.

"Scientific diplomacy is built on people," Feijóo-García said. "Events like the Fulbright Reimagined Summit provide the environment where trust is established, ideas are exchanged, and collaborations begin."

GTSI brings talented students from across the state to campus for a weeklong taste of college life.

Along with learning about academic programs and scholarship opportunities, GTSI offers participating students – many from rural and under-resourced communities – hands-on STEM experiences.

Discovering a Different Side of Computing

In its second year of participating in GTSI, the College of Computing broadened its partnership with the Center for Education Integrating Science, Mathematics, and Computing (CEISMC) this summer, offering two full-day, interactive experiences that integrated creativity and computational thinking.

"The College of Computing first participated in 2025 and is excited to build on that partnership," said Aneesah Allen, senior education outreach manager, who coordinated the College's involvement with CEISMC.

"Our goal is to create a memorable experience that helps students see themselves in computing while learning new skills in a fun, engaging way."

Hands-On Learning, Real-World Connections

To achieve this goal, the GT Computing-led sessions gave GTSI students the opportunity to experiment with artificial intelligence (AI) and machine learning, explore physical computing, and discover how technology intersects with:

• Arts & entertainment
• Sports
• Interactive media
• And more

Sababu Barashango and Terry Foster, CS instructional specialists and research associates at the College’s Constellation Center for Education in Computing, along with Cedric Stallworth, GT Computing assistant dean for outreach, led the College’s participation in this year’s GTSI.

For Barashango, the interactive sessions – focused on computer science (CS) and computational media (CM) – were designed to broaden students' understanding of what computing can be.

"The College of Computing and its Constellations Center for Education in Computing are partnering with CEISMC to help high school students understand the many possibilities computer science and computational media offer," said Barashango. "The students were deeply engaged in the interactive sessions.

"The content ranged from an introductory icebreaker using Google Maps and pixel art to block coding and physical computing, and finally to AI and machine learning."

Along with presenting computing’s creative side and emphasizing hands-on participation, the GT Computing-led sessions were designed to challenge long-held assumptions about who belongs in computing and what skills the field requires.

"The experiences in our sessions directly challenge the myth that you can't be both creative and logical," Barashango said.

Expanding Students' View of Computing

Foster believes that introducing students to all aspects of computing before they make decisions about college can help them see opportunities well beyond what they might have considered.

"Learning about CS and CM pathways broadens their view of computing and allows them to apply computing in fields they care about," Foster said.

He pointed to computational media as an especially powerful gateway because it integrates technical and creative thinking.

"When speaking specifically about CM, which is an excellent entry point into computing, students can be both creative and technical, not just one or the other," Foster said.

The GT Computing-led sessions also encouraged students to think beyond traditional technology careers.

"One of the key messages we shared with students was that earning a computer science degree does not mean they have to become software engineers," Foster said.

"We emphasized the wide range of computing careers available, including fields such as sports technology, film production, and interactive media, in which CS and CM skills are highly valued."

Building Tomorrow's Computing Workforce

Despite the success of the College’s GTSI session, Barashango recognizes that the goal of helping students see themselves in computing extends beyond a single summer program.

“Introducing students to computational thinking early can help prepare them for whatever path they choose,” he said. "Regardless of their career choices, their lives will continue to be affected by and integrated with computer science.”

"If they do not develop computational thinking and skills, they will be left behind in the technology and wealth gap."

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Presented annually, the ISCA Influential Paper Award recognizes a standout paper from the ISCA Conference 18-22 years prior. Winning papers are those which have demonstrated “the most impact on the field (in terms of research, development, products or ideas) during the intervening years.”

The awarded paper, Adaptive Insertion Policies for High-Performance Caching, has been highly influential in cache replacement research. As a Ph.D. student at the University of Texas at Austin, Qureshi co-authored the paper with his advisor Yale Patt and collaborators from Intel, including Aamer Jaleel, Simon Steely, and Joel Emer.

“I’ve been working on memory systems for 20 years and if I had to pick one favorite paper, it would be this one,” Qureshi said. “Both because of the simplicity of the solution and for the impact it had.” 

When the paper was published at ISCA 2007, on-chip cache sizes were growing but still managed almost exclusively by the Least Recently Used (LRU) replacement policy.  

The paper showed that more than half of the lines in cache were discarded before they could be used under LRU policy and that this happened because the workloads being run were larger than the cache size. The team came up with a simple solution of modifying the “Insertion Policy”, such that the incoming lines were inserted at the LRU position instead of the MRU position, thus protecting the cache from thrashing patterns. The problem was that some workloads benefited from this policy while others were hurt by it. 

Instead of applying one policy across the whole cache, their solution dynamically tested two small segments against each other, each running a different policy. Whichever policy had fewer cache misses was applied to the entire cache. They named this technique Set Dueling. 

Qureshi clearly remembers the moment he knew this paper would be important. He was up late working on the project when he ran the final simulation with the solution. 

“I was so excited that I just didn’t sleep that night. I knew that the solution would get incorporated and it would change how people think about caching. I could not wait to share the results with my collaborators” he said. 

Set Dueling has since become a common technique for choosing between two competing policies when neither wins on all workloads. With close to 1,000 citations, the paper has greatly influenced research on cache optimization.

This recognition is Qureshi’s third test-of-time honor. In 2024, he received one at the IEEE/ACM International Symposium on Microarchitecture, for his work on Multi-core Cache Partitioning and in 2025, at the IEEE/IFIP International Conference on Dependable Systems and Networks, for his work on DRAM Reliability. 

Qureshi said that his goal in working in computer architecture is to have an industry impact. 

“It’s very gratifying to see that the ideas that we developed a decade or two decades ago are having an impact and being incorporated,” Qureshi said. “As a researcher, these are the best awards you can have because it serves as a validation that the work you’ve done is valuable to both industry and follow-up research.”  

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

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

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

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

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

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

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

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

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

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

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

Show Your Work

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

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

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

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

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

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

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

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

Practice Partner

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

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

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

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

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

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

The alumni on the list were chosen by the Georgia Tech Alumni Association. The announcement was made on July 15. Representing the College this year are:

• Max Mahdi Roozbahani (MS CE ‘16, MS CSE ‘16, PhD CSE ‘19), Senior Lecturer, School of Computing Instruction. He is also the founder, president, and CTO of Filio, an AI-powered visual documentation platform that began through CREATE-X. His work connects large-scale computing education, entrepreneurship, and applied AI for construction, engineering, and infrastructure. At Georgia Tech, Roozbahani teaches machine learning, data and visual analytics, and natural language processing while mentoring students and teaching teams across campus and online programs. Through Filio, he helps organizations turn field media into documentation and reporting tools used by thousands of professionals nationwide. His teaching honors include the Class of 1940 W. Roane Beard Outstanding Teacher Award and the College of Computing Dean’s Award in 2026.
• Kourtney R. Wright (CS ‘15, MS CS ’23), Senior Director, CIAM Operations, Equifax. A California native, Kourtney R. Wright is currently based in Atlanta, working as a senior director of operations at Equifax. She is a two-time Georgia Tech graduate, having earned a bachelor’s in computer science in 2015 and a master’s in computer science in 2023. Wright currently serves as the secretary of the Georgia Tech Black Alumni Organization (BAO) and as a trustee for the Georgia Tech Alumni Association Board of Trustees. In addition to serving her alumni community, Wright has been recognized for her commitment to mentorship and advocacy for women in STEM, most recently by the Equifax BOLD Network as the 2025 Rising Star.
• Suo Yang (MS AE 14, MS CSE 15, PhD AE 17), Associate Professor, University of Minnesota. A distinguished Georgia Tech alumnus, he earned his PhD and master’s in aerospace engineering, alongside a master’s in computational science and engineering, followed by postdoctoral research at Princeton University. Yang has authored more than 100 publications and pioneered modeling for advanced aerospace propulsion. He has received four prestigious Department of Defense Young Investigator awards and the inaugural CSSCI Early Career Award. A leader in AIAA and education, Yang advances critical technologies for the U.S. Armed Forces and global energy industries while upholding Georgia Tech’s legacy. 
• Anqi Zhou (MS CSE ’13), Senior Vice President, Head of Fair Lending Oversight & Analytics, Truist. Passionate about people and technology, Anqi Zou leads Fair Lending Oversight and Analytics at Truist, advancing fair treatment and access for tens of millions of consumers. Over her banking career, Zou has held roles spanning quantitative analytics, corporate investments, technical talent management, and AI innovation. She also serves on the boards of Big Brothers Big Sisters of Metro Atlanta, 21st Century Leaders, and the International Community School, where she champions access and opportunity for youth. Zou lives in metro Atlanta with her husband, Craig, and their two children, Alivia and Arnold, and enjoys using golf as a platform for connection, community, and impact. Zou holds a master’s degree in computational science and engineering from Georgia Tech and a bachelor’s from Wake Forest.

The annual 40 Under 40 program honorsTech graduates impacting every industry worldwide and work to improve the way we live, even in the early stages of their careers. 

You can learn more about this year’s honorees at the 40 under 40 website, and through a visualization of this year’s class on the same site.

The outing, organized by Director of Research Operations Mary Helen Hayes, is one of a series of activities designed to bring the school’s staff together to foster close relationships between peers. Developing staff culture has been a priority for Hayes since she started at SCP in January 2024. 

“These types of events build trust and remove perceptions,” she said. “It brings together leadership and employees to show that we are all rowing the boat together.”

Soon after she was hired, Hayes attended a meeting to help shape SCP's culture. The fledgling school and its new staff had yet to develop a culture of their own, and Hayes saw an opportunity to draw on her experience planning staff outings to bring people together early on. 

It started with a staff retreat over lunch in 2024. Hayes built a playlist based on the staff’s favorite songs, and the group played icebreakers. From that point forward, SCP staff outings included ceramic pumpkin painting contests, holiday ornament decoration, and more. 

The school also sponsors a welcome breakfast each fall for SCP students and, more recently, hosted a food drive. Both organized by Hayes. 

“Mary Helen has the rare talent to bring process improvements to life while bringing people together, creating lasting improvements that benefit SCP, the College of Computing, and the Institute,” said School Administrative Officer Jan Morian.

While staff culture has become one of Hayes' most visible contributions, it is only part of her impact on SCP. In her two and a half years at the school, she has launched training on research proposals, travel, and expenses. She has also established regular meetings among faculty, administrative, and finance staff and created methods to expedite undergraduate hiring and research proposal intake. 

“I have been at Georgia Tech for about 15 years now, and I looked back on my experience when coming up with new processes for the school,” she said. 

Before joining SCP, Hayes was a financial manager and administrator at several Georgia Tech departments. In 2024 she was hired by SCP as the assistant director for financial operations.

Now as director of research operations, Hayes supports 26 school faculty and oversees a team of four research administrators. She oversees all financial operations for the school including proposal development, sponsor compliance, post-award administration, financial reporting, and award closeout activities.

Hayes runs a tight ship, a fact she will freely admit to. Her department is organized down to the filing system to keep everyone on the same page. Her team of four staff each bring their own strengths to the school’s finances, and Hayes has made sure they are cross trained so there is coverage if someone is out. 

“I want to make sure my team can rely on each other,” she said. “I want them to be able to ask questions and admit if they don’t know something.”

Just as dedicated to the culture of her own team as she is with the overall, Hayes encourages her colleagues to engage in career development conferences and courses. She also was vocal in the job families effort to ensure her staff receive job titles that reflect their day-to-day responsibilities. 

To develop her own career further, Hayes is currently enrolled in the MBA program at Georgia Southern University through the Tuition Assistance Program (TAP) offered to full-time employees by the University System of Georgia. She also received the Outstanding Staff Leadership Award from the College of Computing. 

Rather than waiting for challenges to arise, Hayes looks for opportunities to improve workflows before they become obstacles. She regularly gathers feedback from colleagues, refines procedures, and documents best practices to ensure knowledge is shared across the school instead of remaining with a single person.

Registration is open for the inaugural ACM AI Leadership Summit, taking place Aug. 31 through Sept. 2 at the Hyatt Regency Atlanta Hotel.

Georgia Tech and Atlanta-area college students, faculty, and others from the tech community interested in AI are invited to attend the summit to explore:

• Emerging AI technologies and agentic systems
• Governance and ethics
• Workforce transformation
• Creative collaboration

In addition to welcoming a wide range of perspectives on AI and society, the summit will serve as a venue for knowledge exchange, cross-sector dialogue, and community building among academia, industry, government, and other AI stakeholders.

“Artificial intelligence is transforming every dimension of human knowledge, creativity, and collaboration,” said ACM President-Elect Elisa Bertino, co-chair of the summit’s organizing committee.

“The ACM AI Leadership Summit will be a milestone event where the global computing community taps into the excitement of the moment while exploring the AI era from a whole range of perspectives.”

GT Computing Helps Lead the Effort

Georgia Tech’s College of Computing plays a key role in the summit. Several faculty members serve on the organizing committee.

GT Computing faculty organizers include Neha Kumar, general organizing co-chair; Mark Riedl, program co-chair; and Naveena Karusala, communications co-chair. Dean of Computing Vivek Sarkar serves as the event’s sponsorship chair.

All are ACM members. Kumar, Riedl, and Karusala are faculty members in the School of Interactive Computing.

“Atlanta is home to one of the nation's most dynamic technology communities, making this summit an unprecedented opportunity for our students, researchers, academics, and technology leaders to help shape the future of AI,” said Kumar.

“By bringing together experts from academic, industry, and governance backgrounds, we're creating a space for exchanging ideas, forming partnerships, and engaging the next generation of AI leaders with the challenges and opportunities that will define the field for years to come.”

In addition to helping organize the summit, the College is hosting a reception on Aug. 30, following a daylong doctoral consortium titled Nurturing Future AI Leaders.

“The summit reflects the growing need for cross-sector collaboration as AI technologies become increasingly influential across every aspect of society,” said Sarkar.

“It is designed to foster dialogue, interdisciplinary collaboration, and practical action that advances AI for the public good.”

Turing Award Laureates and AI Visionaries Take the Stage

ACM A.M. Turing Award Laureates Andrew Barto and Yann LeCun are scheduled to participate in the summit. They’re joined by Regents’ Professor Ellen Zegura and several other distinguished speakers on the summit’s three-day main program.

The program also includes keynotes, panels, and interactive sessions examining frontier AI technologies, governance and ethics, and workforce transformation.

Scheduled sessions include:

• Rethinking the Future: Frontier Models and Technologies for a New Era of AI
• AI and Scientific Discovery
• Responsible and Ethical AI: Governance, Policy, Accountability, and Trust
• AI and the Creative Arts: Human–AI Co-Creation and Cultural Transformation
• AI and the Workforce: Augmentation, Reskilling, and the Future of Work
• AI in the Real World
• Agentic AI: Autonomous Systems that Plan, Reason, and Act

Additional programming will feature special-interest-group (SIG) tracks focusing on AI for infrastructure and systems, software development, societal impact, and education.

Showcasing Georgia Tech’s Expanding AI Leadership

The event coincides with the rapid expansion of AI research at Georgia Tech. College of Computing faculty and students are advancing work in trustworthy and responsible AI, robotics, computer vision, natural language processing, cybersecurity, healthcare applications, scientific discovery, and AI-driven education.

Researchers are also helping shape conversations about the societal implications of AI, including governance, ethics, transparency, and workforce development.

That breadth of expertise aligns with the summit’s mission to connect a spectrum of perspectives on the opportunities and challenges posed by AI.

“By convening experts from multiple disciplines and sectors, the summit aims to build a shared understanding of how AI can be developed and deployed responsibly while expanding human capability and strengthening society,” said Kumar.

Registration for the ACM AI Leadership Summit is open.

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.