According to the National Institutes of Health, nearly one-fourth of the U.S. population over age 45 suffers from foot and ankle issues, which reduce their quality of life, adversely affect walking and other daily functions, and increase the risk of falls.

For orthopedic patients recovering from surgery, walking properly can speed recovery, enabling them to more quickly regain mobility and quality of life. Walking issues or problems with one’s gait can also indicate larger medical problems, from vascular disease to brain, nerve, or spinal cord injuries.

Three alumni from Georgia Tech’s School of Electrical and Computer Engineering and School of Bioengineering hope to help doctors and patients analyze walking patterns through their wearable sensor startup,  StrideLink. 

“In the same way a cardiologist puts an EKG on you to monitor your heart, we essentially have designed that for walking ability,” says StrideLink founder and CEO Marzeah “Zea” Khorramabadi.

Initially targeting orthopedic practices for their platform, the HIPAA-compliant system wirelessly analyzes patients’ gaits to help doctors remotely monitor their walking ability before and after surgery to better address issues and provide more personalized treatment. 

The 26-year-old Georgia Tech graduate of computer engineering founded StrideLink in 2021 with two other Tech students: Cassandra McIltrot, a 2022 biomedical and medical engineering graduate, and Neel Narvekar, who completed his computer engineering studies in 2021.

Since starting StrideLink, the three have raised just under $1 million in pre-seed funding and are now starting their Series A funding push.

McIltrot, 24, serves as research director at StrideLink. She says talking to surgeons, physical therapists, and patients was invaluable in building the StrideLink platform, which includes a physical sensor that connects via Bluetooth to a mobile platform. Orthopedic physicians can then access a secure interface to view their patients’ gait data.

“Being able to learn from all those people helped us build something that will bring value,” she says.

Narvekar, the startup’s CTO, calls the technology “a game-changer,” noting, “For the first time, we can widely collect clinically relevant gait data. Starting in orthopedics, this means we can build datasets to predict recovery timelines, identify when patients are off track, and intervene before adverse events occur. Ultimately, this will pave the way for improved care across a range of health conditions."

The enterprising entrepreneurs didn’t do it alone. They leveraged CREATE-X, which supports students in launching successful startups through education, coaching, funding, and other resources. 

Below, Khorramabadi and McIltrot share more about their journey as members of the first cohort of CREATE-X’s Female Founders program in Fall 2020. In Summer 2021, the duo completed Startup Launch, a 12-week summer accelerator that helps students launch startups.  

Did you two always want to start your own business?

Khorramabadi: It was kind of inevitable for Cassie and me. My dad immigrated from Iran and met my mom here. He started his own business selling cars. So, I grew up with a family that was running a small business. I’ve always had that in me, and it was the expectation that I would go to college. I picked Georgia Tech specifically because they had showcased the CREATE-X program during the tour.

McIltrot: My dad had a construction consulting business, and my mom was a nurse. That’s where the medical influence came from for me. He’s also an engineer. The summer that we decided to pursue this, I was doing research on stroke rehab at Emory. 

How did you come up with  your big idea?    

Khorramabadi: In the middle of the pandemic, there was a lot of emphasis on technology — leaving the clinic and being in a patient's home. How are we going to deliver healthcare effectively when patients aren't directly in front of their doctor? 

At the same time, Cassie was doing stroke research, and there was a lot around how heavily walking ability, walking patterns, or your gait is affected. We talked to healthcare professionals, physical therapists, surgeons, everyone. And it was clear that there was a pretty big gap in the market in terms of the technology that would serve these patients who have any symptoms that show up in their walking ability. It wasn’t measured at all. So, we ended up landing on a gait monitor as a solution. 

We realized there was a very immediate, straightforward need for our product in orthopedics. If you're getting a knee replacement, ankle, or foot surgery, it's valuable to be able to put this product on a patient preoperatively to better prepare them for surgery. Surgeons can take real measurements of what their patients’ walking ability looks like before surgery and then track them throughout the entirety of their post-op recovery, which can be three months, six months, or even 12 months.

How does the solution work?

Khorramabadi: We designed our platform from the ground up. Our physical sensor connects to a mobile application. That mobile application connects to an entire cloud architecture that has processing servers and database storage. On the physician side, we have an interface for them to view data that fits into their workflow, including receiving insurance reimbursement. The technology component was designed in-house by Neil and me, given our backgrounds in computer engineering.

Are you using AI or advanced analytics in your platform?

Khorramabadi: We have a lot of very advanced data processing methods that are entirely proprietary to our system. We’ve acquired enough data from all of the patients we've seen with Emory, and now we're tracking patients remotely, where we are starting to use real clinical data to train AI to deliver a performance score to these patients. It’s essentially one number that rates how you’re doing related to a healthy or normal gait. We're already using AI right now, and that's something that's going to be released with our product within the next six months.

Where are you in terms of product maturity?

Khorramabadi: We recently started with our first fully remote full-time customer. Before that, we were doing research with another physician at Emory, where they had used it for over a year. At this point, they've tracked over 250 patients, where they put the sensors on at their pre-op appointment and then track them during post-op follow-ups. 

They weren’t sent home with the sensors until our sensor was FDA-listed last year, and then we started our first pilot with a private practice in Amelia Island, Florida, last October. That has gone incredibly well, so we just expanded to an orthopedic practice in Alabama, and we should be getting two more practices started in 2025. We've solidified the product fit, and we’re now at the point of scaling it. We also have a research partnership with Children's Hospital Colorado to work on a pediatrics application. 

What was most helpful about the CREATE-X programs you participated in at Georgia Tech?

Khorramabadi: Georgia Tech makes exploring doing a startup easy and low-risk for any student. The fact that it was so accessible was monumental early on. In terms of programming, the most valuable part was the emphasis on customer discovery. They did a good job, saying, “You don't know what to build until you talk to enough customers.”

We needed a mentor as part of our first startup class, and we read how James Stubbs, a tenured professor in biomedical engineering, was a previous founder. He’d done a couple of medical device companies that had been acquired. At our first meeting, he told us we need to talk to people. From a business standpoint, it made more sense for us to go to orthopedics rather than physical therapy for a whole host of reasons. But the biggest takeaway of talking to customers was a very consistent experience with both the Startup Launch and the Female Founders program. 

McIltrot: The Female Founders program did a fantastic job of that, where we set goals as teams and were encouraged to talk to as many people we think are going to be our customers. We then met as a group and presented what we learned.  

So you have to get out of get out of your comfort zone, and not be shy about engaging with people.   Cassie, what was the big benefit for you?

McIltrot: We were the first cohort for Female Founders. We checked in every week with our team. Everyone would talk about what they learned that week while talking to people. We were the only medical-focused startup in the program, but being able to share the experience of how we approached people allowed us to learn from each other. We like keeping up with each other on LinkedIn. We learned one of the people in our cohort just closed a funding round.

Is having a community of other women entrepreneurs helpful?

Khorramabadi: Definitely. We’ve gotten a lot out of building a network, especially coming from starting this out of college, where you don't have any industry connections built up yet.  

What has been the biggest value from your experience participating in Startup Launch? 

Khorramabadi: Networking has been the biggest value for both Startup Launch and Female Founders. Both of those programs emphasized networking and customer discovery. Being involved in both programs at the same time kept us focused on that. 

Startup Launch was a good crash course in how you set up your company from a legal aspect, as well as the conversations you need to have with your co-founders, and this is how you pitch and how you raise investment. All these topics are very foreign, and there's not a lot of good information out there on them. So, it was important to have that in the program. It was also nice to connect with Georgia Tech founders who had started companies and seen some success. The program brought them in to talk to us and share what they'd learned. It was nice to have that extra guidance. 

What is the biggest benefit of your innovation?

Khorramabadi: The biggest value is knowing how you're doing right now, and also, if you're not doing well, your physician being able to make changes quickly to your plan of care. The platform also lets patients realize what may be contributing to their getting reinjured or having a slower recovery.

What has been the impact of your platform to date?

Khorramabadi: We've already seen the immediate ROI in terms of patients just feeling much better and much more comfortable in their recovery and being able to push themselves a little bit further than they would have otherwise, because they know they have this product that's tracking them, and they know their physician also is tracking them. 

On the physician side, there's a lot of incentive for them, because they see this as a tool to stay connected with their patients, which is incredibly valuable for them for delivering the best care or best experience for those patients. Also, this product is now covered by Medicare, CIGNA, and United Healthcare.

McIltrot: One of the things we have heard from patients is they’re using this to instill confidence in their walking ability and their recovery. Because these recovery timelines could be six months to a year to multiple years long, being able to have something that shows how much you've been able to improve is invaluable. 

Our future vision is being able to put this on a patient and have a projected recovery laid out. One day, this device could provide recommendations on what went wrong and how to fix it. Being proactive with the care that we deliver to patients is the end goal.

Any advice for Georgia Tech students thinking about taking an innovative idea to market? 

Khorramabadi: Go for it. Startups are always a risk, and Georgia Tech provides you with a safety net to take that risk. If you have an idea on how to solve a problem, why wait? Don't hesitate.

If you are looking for a supportive community to help you start your entrepreneurial journey, applications for the Female Founders Program are open until May 19 for Summer 2025. Apply for Female Founders today and over the summer learn entrepreneurship from an all-female coaching team, network with experts and successful entrepreneurs, build your network, and access funding to kick off a startup. Admissions are rolling.

 For those interested in seeing the latest startups coming out of CREATE-X, join us for Demo Day 2025! On Aug. 28 at 5 p.m., over 100 startups will fill Exhibition Hall, debuting technologies from clean tech to fashion. Register today for this free event that attracts over 1,500 attendees, from business leaders to enthusiasts, and see how our founders are tackling issues across industries.

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.

Georgia Tech professors Michelle LaPlaca and W. Hong Yeo have been selected as recipients of Peterson Professorships with the Children’s Healthcare of Atlanta Pediatric Technology Center (PTC) at Georgia Tech. The professorships, supported by the G.P. “Bud” Peterson and Valerie H. Peterson Faculty Endowment Fund, are meant to further energize the Georgia Tech and Children’s partnership by engaging and empowering researchers involved in pediatrics.

In a joint statement, PTC co-directors Wilbur Lam and Stanislav Emelianov said, “The appointment of Dr. LaPlaca and Dr. Yeo as Peterson Professors exemplifies the vision of Bud and Valerie Peterson — advancing innovation and collaboration through the Pediatric Technology Center to bring breakthrough ideas from the lab to the bedside, improving the lives of children and transforming healthcare.”

LaPlaca is a professor and associate chair for Faculty Development in the Department of Biomedical Engineering, a joint department between Georgia Tech and Emory University. Her research is focused on traumatic brain injury and concussion, concentrating on sources of heterogeneity and clinical translation. Specifically, she is working on biomarker discovery, the role of the glymphatic system, and novel virtual reality neurological assessments.    

“I am thrilled to be chosen as one of the Peterson Professors and appreciate Bud and Valerie Peterson’s dedication to pediatric research,” she said. “The professorship will allow me to broaden research in pediatric concussion assessment and college student concussion awareness, as well as to identify biomarkers in experimental models of brain injury.”

In addition to the research lab, LaPlaca will work with an undergraduate research class called Concussion Connect, which is part of the Vertically Integrated Projects program at Georgia Tech.

“Through the PTC, Georgia Tech and Children’s will positively impact brain health in Georgia’s pediatric population,” said LaPlaca.

Yeo is the Harris Saunders, Jr. Professor in the George W. Woodruff School of Mechanical Engineering and the director of the Wearable Intelligent Systems and Healthcare Center at Georgia Tech. His research focuses on nanomanufacturing and membrane electronics to develop soft biomedical devices aimed at improving disease diagnostics, therapeutics, and rehabilitation.

“I am truly honored to be awarded the Peterson Professorship from the Children’s PTC at Georgia Tech,” he said. “This recognition will greatly enhance my research efforts in developing soft bioelectronics aimed at advancing pediatric healthcare, as well as expand education opportunities for the next generation of undergraduate and graduate students interested in creating innovative medical devices that align seamlessly with the recent NSF Research Traineeship grant I received. I am eager to contribute to the dynamic partnership between Georgia Tech and Children’s Healthcare of Atlanta and to empower innovative solutions that will improve the lives of children.”

The Peterson Professorships honor the former Georgia Tech President and First Lady, whose vision for the importance of research in improving pediatric healthcare has had an enormous positive impact on the care of pediatric patients in our state and region.

The Children’s PTC at Georgia Tech brings clinical experts from Children’s together with Georgia Tech scientists and engineers to develop technological solutions to problems in the health and care of children. Children’s PTC provides extraordinary opportunities for interdisciplinary collaboration in pediatrics, creating breakthrough discoveries that often can only be found at the intersection of multiple disciplines. These collaborations also allow us to bring discoveries to the clinic and the bedside, thereby enhancing the lives of children and young adults. The mission of the PTC is to establish the world’s leading program in the development of technological solutions for children’s health, focused on three strategic areas that will have a lasting impact on Georgia’s kids and beyond.

Reagan Cook stood at a career crossroads when her undergraduate degree in mechanical engineering intersected with her recent master’s in data analytics.

She wanted to connect her experience in manufacturing with her burgeoning interest in data science but wasn’t sure which way to turn. Then, she stumbled upon a job opportunity that brought both into one path forward: A fellowship focused on artificial intelligence in manufacturing through the Partnership for Inclusive Innovation, or PIN.

“I happened upon this fellowship and the vertical I landed on was AI in manufacturing, which was a good marriage of the two disciplines,” said Cook, who began the one-year paid position over the summer. The PIN fellowship, part of Georgia Institute of Technology’s Enterprise Innovation Institute, places early career professionals into public and private opportunities.

The fellowship is made possible through support from Georgia Artificial Intelligence in Manufacturing, or Georgia AIM. Georgia AIM supports several PIN fellows each year through the AI in Manufacturing vertical. Participants spend six months working on a research project through the Georgia Tech Manufacturing Institute (GTMI) and then six months with a partner company where they focus on a project that enhances the use of smart technologies.

Cook recently completed her first six-month rotation as a researcher with the Melkote Advanced Manufacturing Research Group at Georgia Tech, working with GTMI Associate Director Shreyes Melkote. She is now in her next role at Carbice, an Atlanta semiconductor manufacturer.

That’s the interesting part of the PIN fellowship: those accepted into the program gain experience in both the public and private sectors. Upon completing the program, fellows enter the workforce with a unique, innovative skillset that contributes to the emerging roles AI is creating in manufacturing.

The PIN program also helps address a gap in the workforce. There is a growing need for professionals who understand AI and smart technologies, and the program’s public/private partnership provides useful training and experience to early career professionals who are eager to solve these challenges.

In Cook’s case, her first job after college was with a small manufacturer doing engineering design and CAD work. Her role expanded a bit to accommodate her data analytics background while working on her master’s degree practicum project. But due to the size of the company, her work returned to strictly engineering after she graduated. In contrast, through the PIN fellowship, Cook is working on developing machine learning models that can be used to search for parts in a database of CAD designs. This would allow manufacturers looking for CAD drawings or 3D models to find similar parts with designs already created, saving time by giving engineers a starting point. This research allows her to leverage both her analytics and engineering knowledge.

"I feel like I am learning a lot,” said Cook. The research position allows her to apply theoretical knowledge from her master’s degree in a research environment. “That’s been very interesting and eye-opening. I’m still early in my career and my only experience is fairly traditional corporate jobs, so working in the realm of the unknown is a different situation. With research, you’re just exploring and have no assurances that what you’re doing is going to work. ”

Moving to Carbice for the second half of her fellowship adds another layer of learning, she added, because it’s one thing to test out a theory in a lab; it’s different when you are working for a company that needs to see results.

“Working in the private sector allows you to identify and reality-check the needs of actual workplaces,” she added. “Because sometimes you have a compelling idea and interesting research, but in a corporate setting, first, is it useful, and second, if it is useful, is it even something the industry wants or is willing to adopt?”

This is a paradox Cook will face not only during the second half of her fellowship, but also going forward in her career. The foundational experiences attained through the PIN fellowship will give Cook an edge as she moves into her next role. Many manufacturers are interested in adopting AI and smart technologies, but the challenge is in identifying problems to solve.

Cook said she is confident the fellowship will give her new insights that can be beneficial to future employers. The program also offers networking opportunities and connections with respected professionals that will be beneficial in years to come, she added.

“It’s really good to have both the public and private perspectives. And because I’ve worked in a couple different manufacturing environments, I’m interested in how different my manufacturing rotation will be and if I can identify patterns, similar issues, or inefficiencies. And all that is useful knowledge to have,” she said. “For me specifically, the content of this work is going to be very helpful in tying my whole resume together.”

For more details on the AI and Manufacturing-focused PIN fellowship supported by Georgia AIM, visit the PIN website.

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.”

The Institute for Matter and Systems (IMS) supports a range of research activities, catering to users at all levels – from students to professional researchers. A pillar of that support lies in IMS’s facilities, offering tools and resources that are vital for both fundamental and applied research.

Recently, four graduate students using IMS core facilities in their research have been selected to receive NSF Graduate Research Fellowships. The prestigious fellowships including funding for three years of graduate study and tuition.

The core facility users are:

• Anna R. Burson – chemical engineering
• Connor M. Davel – photonic materials
• Ethan Daniel Ray – photonic materials
• Alessandro Zerbini-Flores – electrical and electronic engineering

IMS’s electronics and nanotechnology core facilities provide access to advanced instrumentation and technologies that are essential for research activities from basic discovery to prototype realization. This ensures that undergraduate and graduate students, as well as faculty and external collaborators, can access the necessary infrastructure to pursue their scientific inquiries. 

See the full list of recipients

Baseball season is underway, and it’s not a surprise that the New York Yankees are among the league leaders in hits and home runs. But how they’re doing it has become the biggest storyline in the sport. 

Several Yankee sluggers were swinging a new style of bat, dubbed the torpedo bat, on March 29, when the team hit nine home runs, and the trend quickly caught on around the league. 

Materials and manufacturers may vary, but the design of a baseball bat has remained relatively unchanged, so how does the torpedo bat compare to other game-changing innovations in sports history? Jud Ready, associate director for external engagement at the Institute for Matter and Systems and the creator of the Materials Science and Engineering of Sports course at Georgia Tech, shares his thoughts on the bat and how the Institute is using technology to create change in sports.

Listen to the conversation in the Georgia Tech news center.

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.”

In a groundbreaking study published in Nature, researchers from Georgia Tech and Emory University have developed a new model that could enable precise, life-saving medication delivery for blood clot patients. The novel technique uses a 3D microchip

Wilbur Lam, professor at Georgia Tech and Emory University, and a clinician at Children’s Healthcare of Atlanta, led the study. He worked closely with Yongzhi Qiu, an assistant professor in the Department of Pediatrics at Emory University School of Medicine. 

The significance of the thromboinflammation-on-a-chip model, is that it mimics clots in a human-like way, allowing them to last for months and resolve naturally. This model helps track blood clots and more effectively test treatments for conditions including sickle cell anemia, strokes, and heart attacks. 

Read the full story from Emory University

In a significant move to bolster Georgia's workforce, Georgia Tech has partnered with Georgia Quick Start to advance manufacturing training and skill development. This collaboration, formalized by the signing of a Memorandum of Understanding on April 8, aims to elevate the quality and efficiency of manufacturing workforce training across the state.

“At Georgia Tech, innovation isn’t just about discovery — it’s about solving real-world challenges,” said Executive Vice President for Research Tim Lieuwen. “Georgia Quick Start ensures that cutting-edge research in advanced manufacturing translates into practical training solutions. Together, we are equipping Georgia’s workforce with the skills needed to drive economic growth and industry advancement.”

As manufacturing technologies and artificial intelligence continue to evolve, U.S. manufacturers increasingly require skilled workers experienced in advanced manufacturing. For decades, Georgia Quick Start, administered by the Technical College System of Georgia, has been addressing this need and has been recognized as the country’s top workforce training program for 15 years. 

Now, researchers at Georgia Tech will collaborate with Georgia Quick Start to enhance these efforts by developing Extended Reality (XR) training programs, providing a scalable and experiential solution to meet the growing demand for training. 

“We have been so successful for so many years because we stay focused on relevance, flexibility, and responsiveness,” said Scott McMurray, deputy commissioner for Georgia Quick Start. “This partnership is an example of how Quick Start is able to develop and deliver effective training even for companies working on the leading edge of advanced manufacturing technologies.”

Extended Reality, Scaled Training

XR technologies use a combination of virtual and augmented reality to create immersive, interactive experiences. By simulating real-world manufacturing environments and processes, XR has the potential to allow trainees to practice and refine their skills in a controlled, risk-free setting through standardized training experiences. This not only enhances the learning experience but also ensures consistency in training quality across a large workforce.

“Virtual reality scales training by gamifying complex tasks and removing the need for costly or hazardous physical equipment. Augmented reality scales on-the-job training by providing adaptive, context-aware guidance exactly when and where it’s needed, reducing the need for expert supervision,” said manufacturing XR researcher Mohsen Moghaddam, Gary C. Butler Family associate professor in the H. Milton Stewart School of Industrial and Systems Engineering and the George W. Woodruff School of Mechanical Engineering. “Together, they make training more consistent, up-to-date, accessible, and safe, especially for workers who may hesitate to ask for assistance from peers or supervisors out of fear of judgment.”

The collaboration will leverage Moghaddam’s research and the AR/VR training space within the expanded Advanced Manufacturing Pilot Facility, providing a state-of-the-art environment for developing and deploying XR training technologies. Researchers from the Georgia Tech Manufacturing Institute (GTMI) and Georgia AIM(Artificial Intelligence in Manufacturing) will also play pivotal roles in the development of these training programs.

“Partnerships like these highlight the power of the integrated University of Georgia and Technical College System of Georgia’s workforce development ecosystem,” said Thomas Kurfess, Regents’ Professor and GTMI executive director. “Our country not only needs the creation of new jobs but also the skilled workforce to fill them. At Georgia Tech and GTMI, we are serving as an enabler of innovation in that workforce development.”