News Contact

At the Spring 2025 Idea to Prototype (I2P) Showcase, a prototype helping car enthusiasts find niche vehicles and their histories came out on top. Jack Rose, a junior in computer science, took home first place, a golden ticket to CREATE-X’s summer accelerator, Startup Launch, and advancement into the semifinal round of the InVenture Prize, a faculty-led innovation competition for undergraduate students and recent Tech bachelor’s graduates.

Second place was awarded to Team Sensible, made up of juniors Oluwatooni Alade, computer science; Brandon Parker, computer science; Angela Duodu, computer science; Jesus Sierra Jr., computer science; and Hadley Williams, computer engineering. Sensible is a browser extension that rates the sustainability of products users find online and offers alternative products for items that score low. 

Third place went to Team Onyc, which includes Yasmine Green, a first-year mechanical engineering student. Onyc replaces the computer mouse with a wearable alternative that allows users to control computer navigation with the movement of their fingertips and fingernails.

Dozens of teams competed at the showcase, which is the culmination of I2P, a CREATE-X course focused on supporting students in creating solutions. The course offers research credit (for undergraduates only), up to $500 in reimbursements for physical material expenses, the opportunity to work collaboratively across majors, and faculty mentorship. It is held in the spring, summer, and fall, and it’s open to undergraduate and graduate students from all majors.  

Read our Q&A with the winner and stay tuned for our interviews with the other winning teams.

Team Carchive

Jack Rose, Junior, Computer Science

Why did you pursue your startup? 

Rose: I’ve been into cars my whole life. Trying to track cars is my hobby. There are always edge cases, and how are you planning to attack them? Because I spent so much time, especially working with other people, getting this data, and trying to figure this out, I became very adept at understanding the data. The dealers, collectors especially, were trying to understand the whole story, so they would come to me. But the way I had to do it was spreadsheets all over the place, and I was trying to find a solution to keep it all in one spot. I couldn’t find a way to do it, so I said, “Well, I’ll build it.” And then I got into I2P.

What was challenging about building your prototype over the semester? 

Rose: This semester, it was mainly trying to come up with the schema and how to physically account for the edge cases. It’s not easy; it took a lot of deep thought, discussions with other people who are into these niche cars, and understanding what details we needed. I’m still trying to add more things and figure it out. It’s not perfect, but it’s enough.

What was your favorite part about I2P? 

Rose: Adding features that I was looking for. For example, let’s say I was looking for a car. Filter all the cars over 25 years old and imported to the U.S. — I can easily search my database.

What would you say to students who are interested in entrepreneurship? 

Rose: It’s always, “You should have started sooner.” I’ve always thought about it. My biggest advice is to just start doing it, even if it’s a little bit here, a little bit there. If it doesn’t work out, at least you’ve tried.

A photo gallery from the Spring 2025 I2P Showcase can be viewed on the CREATE-X Flickr page.

Students interested in the I2P program can register for the upcoming summer and fall semesters. The deadline for Summer 2025 is May 14, and the deadline for Fall 2025 is May 16.

CREATE-X's next event, Demo Day, will take place on Aug. 28 at Exhibition Hall, where more than 100 startups will be on display. Attendees can experience the newest batch of founders leveraging the latest technology to solve pressing challenges. The event offers an opportunity to network with entrepreneurs, industry leaders, and passionate enthusiasts, and supports the next generation of innovators. Register for Demo Day today and be a part of these founders’ journeys!  

News Contact

A Georgia Tech doctoral student’s dissertation could help physicians diagnose neuropsychiatric disorders, including schizophrenia, autism, and Alzheimer’s disease. The new approach leverages data science and algorithms instead of relying on traditional methods like cognitive tests and image scans.

Ph.D. candidate Md Abdur Rahaman’s dissertation studies brain data to understand how changes in brain activity shape behavior. 

Computational tools Rahaman developed for his dissertation look for informative patterns between the brain and behavior. Successful tests of his algorithms show promise to help doctors diagnose mental health disorders and design individualized treatment plans for patients.

“I've always been fascinated by the human brain and how it defines who we are,” Rahaman said. 

“The fact that so many people silently suffer from neuropsychiatric disorders, while our understanding of the brain remains limited, inspired me to develop tools that bring greater clarity to this complexity and offer hope through more compassionate, data-driven care.”

Rahaman’s dissertation introduces a framework focusing on granular factoring. This computing technique stratifies brain data into smaller, localized subgroups, making it easier for computers and researchers to study data and find meaningful patterns.

Granular factoring overcomes the challenges of size and heterogeneity in neurological data science. Brain data is obtained from neuroimaging, genomics, behavioral datasets, and other sources. The large size of each source makes it a challenge to study them individually, let alone analyze them simultaneously, to find hidden inferences. 

Rahaman’s research allows researchers and physicians to move past one-size-fits-all approaches. Instead of manually reviewing tests and scans, algorithms look for patterns and biomarkers in the subgroups that otherwise go undetected, especially ones that indicate neuropsychiatric disorders.

“My dissertation advances the frontiers of computational neuroscience by introducing scalable and interpretable models that navigate brain heterogeneity to reveal how neural dynamics shape behavior,” Rahaman said. 

“By uncovering subgroup-specific patterns, this work opens new directions for understanding brain function and enables more precise, personalized approaches to mental health care.”

Rahaman defended his dissertation on April 14, the final step in completing his Ph.D. in computational science and engineering. He will graduate on May 1 at Georgia Tech’s Ph.D. Commencement. 

After walking across the stage at McCamish Pavilion, Rahaman’s next step in his career is to go to Amazon, where he will work in the generative artificial intelligence (AI) field. 

Graduating from Georgia Tech is the summit of an educational trek spanning over a decade. Rahaman hails from Bangladesh where he graduated from Chittagong University of Engineering and Technology in 2013. He attained his master’s from the University of New Mexico in 2019 before starting at Georgia Tech. 

“Munna is an amazingly creative researcher,” said Vince Calhoun, Rahman’s advisor. Calhoun is the founding director of the Translational Research in Neuroimaging and Data Science Center (TReNDS).

TReNDS is a tri-institutional center spanning Georgia Tech, Georgia State University, and Emory University that develops analytic approaches and neuroinformatic tools. The center aims to translate the approaches into biomarkers that address areas of brain health and disease.    

“His work is moving the needle in our ability to leverage multiple sources of complex biological data to improve understanding of neuropsychiatric disorders that have a huge impact on an individual’s livelihood,” said Calhoun.

News Contact

If you’re worried about artificial intelligence (AI) taking your job, Georgia Tech’s Mark Riedl says that probably won’t happen. However, losing your job to someone who knows how to leverage AI tools in the workplace is something to be concerned about.

To help people beyond campus understand what AI tools are available and how to use them effectively, Riedl recently co-taught an online course by CNBC Make It titled How to Use AI to Be More Successful at Work.

“The running joke right now is that AI will not replace people, but people who use AI will replace people who do not use AI,” said Riedl, professor in the School of Interactive Computing. 

The 90-minute course offers tips and hacks to users who are:

• Inexperienced in using AI tools in the workplace and are looking to grow in professional development
• Small business owners who are overwhelmed with administrative tasks, marketing, industry research, and data analysis
• Job seekers looking to stand out from the crowd
• People seeking to improve their work-life balance

Riedl, whose research focuses on human-centered and explainable AI, taught sections of the course on the foundation of AI. One of the biggest sections of the course covers large-language models (LLMs). 

“When large language models were put forward as chatbots, this was the first time that any person out in the world could naturally interact with an AI system without having to learn to program or write code,” Riedl said.

For less than $100, the on-demand course includes a detailed workbook that helps users consider each aspect of their jobs and daily lives and how AI can improve them.

The Big Picture

CNBC’s use of Riedl’s expertise is one of many examples of how College of Computing faculty are leading the way in teaching AI literacy.

David Joyner, executive director of online education, said Georgia Tech’s Online Master of Science in Computer Science (OMSCS) program continues to innovate with AI literacy in mind.

[RELATED: Experts Say Life-long Learning is a Must to Keep Pace with Generative AI]

He said companies and employees alike are learning to navigate AI. Companies are considering AI from a general perspective, focusing on how it can make their businesses more efficient, while employees are using it to become more versatile and valuable workers.

“It’s an interesting dichotomy,” Joyner said. “If companies are trying to figure out how to operate more efficiently, and you have people using these tools to be more productive, at what point does the company need to prioritize using these tools instead of letting their use be organic? We’re still in this experimental phase.”

In a conversation with former College of Computing interim dean Alex Orso, Joyner discusses how OMSCS is staying at the forefront in equipping students with the latest technology skills they need to be successful in a fluctuating industry.

“We must figure out what generative AI can do well and properly leverage it so we’re not cutting out the foundation of a building and replacing it with sticks,” Joyner said.

The complete conversation between Joyner and Orso is available on the College's Youtube channel.

News Contact

A Georgia Tech alum’s dissertation introduced ways to make artificial intelligence (AI) more accessible, interpretable, and accountable. Although it’s been a year since his doctoral defense, Zijie (Jay) Wang’s (Ph.D. ML-CSE 2024) work continues to resonate with researchers.

Wang is a recipient of the 2025 Outstanding Dissertation Award from the Association for Computing Machinery Special Interest Group on Computer-Human Interaction (ACM SIGCHI). The award recognizes Wang for his lifelong work on democratizing human-centered AI.

“Throughout my Ph.D. and industry internships, I observed a gap in existing research: there is a strong need for practical tools for applying human-centered approaches when designing AI systems,” said Wang, now a safety researcher at OpenAI.

“My work not only helps people understand AI and guide its behavior but also provides user-friendly tools that fit into existing workflows.”

[Related: Georgia Tech College of Computing Swarms to Yokohama, Japan, for CHI 2025]

Wang’s dissertation presented techniques in visual explanation and interactive guidance to align AI models with user knowledge and values. The work culminated from years of research, fellowship support, and internships.

Wang’s most influential projects formed the core of his dissertation. These included:

• CNN Explainer: an open-source tool developed for deep-learning beginners. Since its release in July 2020, more than 436,000 global visitors have used the tool.
• DiffusionDB: a first-of-its-kind large-scale dataset that lays a foundation to help people better understand generative AI. This work could lead to new research in detecting deepfakes and designing human-AI interaction tools to help people more easily use these models.
• GAM Changer: an interface that empowers users in healthcare, finance, or other domains to edit ML models to include knowledge and values specific to their domain, which improves reliability.
• GAM Coach: an interactive ML tool that could help people who have been rejected for a loan by automatically letting an applicant know what is needed for them to receive loan approval.
• Farsight: a tool that alerts developers when they write prompts in large language models that could be harmful and misused.  

“I feel extremely honored and lucky to receive this award, and I am deeply grateful to many who have supported me along the way, including Polo, mentors, collaborators, and friends,” said Wang, who was advised by School of Computational Science and Engineering (CSE) Professor Polo Chau.

“This recognition also inspired me to continue striving to design and develop easy-to-use tools that help everyone to easily interact with AI systems.”

Like Wang, Chau advised Georgia Tech alumnus Fred Hohman (Ph.D. CSE 2020). Hohman won the ACM SIGCHI Outstanding Dissertation Award in 2022.

Chau’s group synthesizes machine learning (ML) and visualization techniques into scalable, interactive, and trustworthy tools. These tools increase understanding and interaction with large-scale data and ML models. 

Chau is the associate director of corporate relations for the Machine Learning Center at Georgia Tech. Wang called the School of CSE his home unit while a student in the ML program under Chau.

Wang is one of five recipients of this year’s award to be presented at the 2025 Conference on Human Factors in Computing Systems (CHI 2025). The conference occurs April 25-May 1 in Yokohama, Japan. 

SIGCHI is the world’s largest association of human-computer interaction professionals and practitioners. The group sponsors or co-sponsors 26 conferences, including CHI.

Wang’s outstanding dissertation award is the latest recognition of a career decorated with achievement.

Months after graduating from Georgia Tech, Forbes named Wang to its 30 Under 30 in Science for 2025 for his dissertation. Wang was one of 15 Yellow Jackets included in nine different 30 Under 30 lists and the only Georgia Tech-affiliated individual on the 30 Under 30 in Science list.

While a Georgia Tech student, Wang earned recognition from big names in business and technology. He received the Apple Scholars in AI/ML Ph.D. Fellowship in 2023 and was in the 2022 cohort of the J.P. Morgan AI Ph.D. Fellowships Program.

Along with the CHI award, Wang’s dissertation earned him awards this year at banquets across campus. The Georgia Tech chapter of Sigma Xi presented Wang with the Best Ph.D. Thesis Award. He also received the College of Computing’s Outstanding Dissertation Award.

“Georgia Tech attracts many great minds, and I’m glad that some, like Jay, chose to join our group,” Chau said. “It has been a joy to work alongside them and witness the many wonderful things they have accomplished, and with many more to come in their careers.”

News Contact

News Contact

What’s the hottest thing in electronics and high-performance computing? In a word, it’s “cool.”

To be more precise, it’s a liquid cooling system developed at Georgia Tech for electronics aimed at solving a long-standing problem: overheating.

Developed by Daniel Lorenzini, a 2019 Tech graduate who earned his Ph.D. in mechanical engineering, the cooling system uses microfluidic channels — tiny, intricate pathways for liquids — that are embedded within the chip packaging.

He worked with VentureLab, a Tech program in the Office of Commercialization, to spin his research into a startup company, EMCOOL, headquartered in Norcross.

“Our solution directly addresses the heat at the source of the silicon chip and therefore makes it faster,” Lorenzini said. “Our design has our system sitting directly on the silicon chips that generate the most heat. Using the fluids in the micro-pin fins, it carries the heat that’s produced away from the chip.”

That cooling solution is directly integrated into the electronic components, making it significantly more efficient than conventional cooling methods, because it enhances the heat dissipation process.

The result is a much lower risk of overheating and reduced power consumption, he said.

Lorenzini, who researched and refined the technology in the lab of Yogendra Joshi at the George W. Woodruff School of Mechanical Engineering, was awarded a patent for the technology in September 2024.

Now, EMCOOL, which has five empoloyees, is actively pursuing venture capital funding to scale its technology and address the escalating thermal management challenges posed by AI processors in modern data centers.

The system uses a cooling block with tiny, pin-like fins on one side and a special thermal interface material on the other. There's also a junction attached to the block, with ports for the fluid to flow in and out. The cooling fluid moves through the micro-pin fins and helps to carry away the heat.

Since the ports are designed to match the shape of the fins, it ensures that the fluid flows efficiently and the heat is dissipated as effectively as possible at chip-scale. 

As electronic devices — from high-performance personal computers to data centers used for artificial intelligence processing — become more powerful, they generate more heat. This excess heat can damage components or cause the device to underperform.

Traditional cooling methods, which include fans or heat sinks, often struggle to keep pace with the increasing demands of the newer model electronics. Lorenzini’s microfluidic system addresses the challenge of overheating with his patented, more effective, compact, and integrated cooling solution.

With the guidance of Jonathan Goldman, director of Quadrant-i in Tech’s Office of Commercialization, Lorenzini secured grant funding through the National Science Foundation and the Georgia Research Alliance to further the research and build design prototypes.

“We immediately had the sense there was commercial potential here,” Goldman said. “Thermal management, or getting rid of heat, is a ubiquitous problem in the computer industry, so when we saw what Daniel was doing, we immediately began to engage with him to understand what the commercial potential was.”

Indeed, the initial focus for the technology was the $159 billion global electronic gaming market. Gamers need a lot of computing power, which generates a lot of heat, causing lag.

But beyond gaming systems, the company, which manufactures custom cooling blocks and kits at its Norcross facility, is eyeing more sectors, which also suffer from overheating, Goldman said.

The technology addresses similar overheating electronics challenges in high-performance computing, telecommunications, and energy systems.

“This work propels us forward in pushing the boundaries of what traditional cooling technologies can achieve because by harnessing the power of microfluidics, EMCOOL's systems offer a compact and energy-efficient way to manage heat,” Goldman said. “This has the potential to revolutionize industries reliant on high-performance computing, where heat management is a constant challenge.”

News Contact

News Contact

In 1957, the Soviet Union launched Sputnik. Several months later, the U.S. sent Explorer I into space. With two small objects, the space race began. 

As of March 2025, more than 11,000 satellites are orbiting Earth. According to some estimates, there could be as many as 60,000 by 2030. 

“In the Space Age, space activity was overtly geopolitical, and that’s never really gone away,” said Mariel Borowitz, associate professor in the Sam Nunn School of International Affairs and director of the recently launched Center for Space Policy and International Relations. “But the major shift now is the rapid rise of commercial activity and the number of actors in space.”

Space traffic is global by nature — satellites cross over myriad countries while orbiting. Thanks to the Outer Space Treaty, every country has the right to access space. More actors in space, though, mean more trash and more potential collisions. 

Borowitz and her colleagues in the Nunn School analyze and help develop policies on protecting space so it remains safe and usable in the future. In other words, they’re doing everything they can to make sure things don’t blow up. 

Taking Out the (Space) Trash

Thomas González Roberts, a postdoctoral fellow in the Nunn School, has a research portfolio that unites his background in astrodynamics with space governance. One area he specializes in is space debris and its impact on the sustainability of space operations. 

"We define space debris as objects in Earth orbit that are no longer actively being controlled," Roberts said. "A satellite that has run out of fuel, for example, becomes a piece of floating garbage.” 

The issue, he notes, isn't just the large pieces of debris but also the many tiny fragments that go undetected. 

"We can track objects the size of a softball, but anything smaller is more challenging to spot with current technology," he explained. "These small pieces can still destroy satellites because of their velocity, like a bullet can harm a human."

As such, debris presents not only a physical hazard but also a complex issue for satellite operators trying to navigate these invisible threats. Roberts also highlights the rising number of satellites in popular orbital regimes. Low Earth orbit (LEO) is the closest orbital regime to Earth. Beginning at the upper reaches of the Earth’s atmosphere, it hosts communication and observational satellites and is by far the most congested region of all. 

"There are only a few spots in the near-Earth space environment where satellite operators want to be, effectively making these regions limited natural resources,” he said. “Without proper coordination, these valuable spaces will be overcrowded, making it harder to avoid collisions and creating more debris."

To address these issues, Roberts advocates for better international coordination and the development of more effective space policies. "How operators choose to control their satellites is a form of space policy," he noted. "We need transparent, collaborative policies that encourage more responsible space operations. When a satellite mission is completed, operators should clean up after themselves, ensuring the long-term viability of these orbital regions."

Space Situational Awareness

Space situational awareness (SSA) involves tracking objects in space, predicting their movements, and identifying potential collisions. If a potential collision is detected, the next step is determining whether to issue a warning. Currently, the U.S. military operates the most globally advanced SSA system, providing collision warnings free of charge to spacecraft operators worldwide. However, there is an ongoing effort to shift this mission to a civil agency, the Office of Space Commerce (OSC), because so much of space activity is now international and commercial.

In 2022, Borowitz testified before Congress on transitioning from a military to a civilian SSA system. A few months later, she was invited to join the OSC on a detail to help implement this transition. Currently, she spends half her time there as head of International SSA Engagement. Her work bridges the gap between research and government operations, ensuring that advances in academia inform policy and operations.

Borowitz and Brian Gunter, a professor in the Daniel Guggenheim School of Aerospace Engineering, launched a joint project tackling the complex issue of space traffic coordination, supported by a grant from NASA.

Their detailed simulation model — the Georgia Tech Virtual Environment for Space Traffic Analysis (VESTA) — incorporates real satellite data from military space situational awareness systems to test out possible space traffic coordination rules. 

“One question we’re trying to answer is whether, when we see the possibility of a collision in space, we should have right-of-way rules,” Borowitz said. “We have them on the ground for cars, and we have them in the air and at sea. In space, we have no real concept of right of way.”  

Through this approach, Borowitz and Gunter can test different traffic rules and collision scenarios over months and even years. Their model also assesses the impact of these rules on different countries and companies, and what might happen if some actors choose not to follow them.

“The results of these simulations are crucial for shaping international agreements; they provide concrete data on the potential costs and benefits of unilateral versus multilateral approaches to space governance,” Borowitz said. “This kind of research not only brings technical astrodynamics into policy discussions but also offers valuable insights for negotiating space traffic coordination at a global scale.”

By combining cutting-edge research with real-world policy work, Borowitz, Roberts, and their colleagues are helping ensure that space remains usable for everyone. With their work, the path to a safer space environment is becoming clearer.

News Contact

For centuries, innovations in structural materials have prioritized strength and durability — often at a steep environmental price. Today, the construction industry accounts for approximately 10% of global greenhouse gas emissions, with cement, steel, and concrete responsible for more than two-thirds of that total. As the world presses for a sustainable future, scientists are racing to reinvent the very foundations of our built environment.

Paradigm Shift in Construction

Now, researchers at Georgia Tech have developed a novel class of modular, reconfigurable, and sustainable building blocks — a new construction paradigm as well-suited for terrestrial homes as it is for extraterrestrial habitats. Their study, published in Matter, demonstrates that these innovative units, dubbed eco-voxels, can reduce carbon footprints by up to 40% compared to traditional construction materials. These units also maintain the structural performance needed for applications ranging from load-bearing walls to aircraft wings.

“We created sustainable structures using these eco-friendly building blocks, combining our knowledge of structural mechanics and mechanical design with industry-relevant manufacturing practices and environmental assessments,” said Christos Athanasiou, assistant professor at the Daniel Guggenheim School of Aerospace Engineering.

Housing Affordability Solutions

Their work offers a potential solution to the growing housing affordability crisis. As climate-driven disasters such as hurricanes, wildfires, and floods increase, homes are damaged at higher rates, and insurance costs are skyrocketing. This crisis is fueled by rising land prices and restrictive development regulations. Meanwhile, the growing demand for housing places an increasing strain on global resources and the environment. The modularity and circularity of the developed approach can effectively address these issues. 

The New Building Blocks

Eco-voxels — short for eco-friendly voxels, the 3D equivalent of pixels — are made from polytrimethylene terephthalate (PTT). PTT is a partially bio-based polymer derived from corn sugar and reinforced with recycled carbon fibers from aerospace waste (scrap material lost during the manufacturing of aerospace components). Eco-voxels can be easily assembled into large, load-bearing structures and then disassembled and reconfigured, all without generating waste. Consequently, they offer a highly adaptable, sustainable approach to construction.

The team tested eco-voxels and found they can handle the pressure that buildings usually face. They also used computer simulations to show that changing the shape of eco-voxels makes them suitable for many different building needs.

The researchers compared the eco-voxel approach to other emerging construction methods like 3D-printed concrete and cross-laminated timber (CLT), finding that eco-voxels offer significant environmental advantages. While traditional and alternative materials are often heavy and carbon-intensive, the eco-voxel wall had the lowest carbon footprint: 30% lower than concrete and 20% lower than CLT.

These results highlight eco-voxels as a promising low-carbon, high-performance solution for sustainable and affordable construction, opening new possibilities for faster, more sustainable building solutions. In addition to residential uses, emergency shelters built with eco-voxels could be used for disaster-relief scenarios, where quick assembly, modularity, and minimal environmental impact are crucial.

News Contact