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.

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.

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.”

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.