Georgia Tech students will once again take part in a national competition that connects them directly with automotive industry leaders to develop the next generation of mobility innovations.
For the fourth consecutive cycle, Georgia Tech has been selected to participate in the Advanced Vehicle Technology Competition’s EcoCAR Challenge, sponsored by the U.S. Department of Energy, General Motors, Stellantis, MathWorks, and other industry partners.
Georgia Tech is among 20 universities chosen for the four-year competition, which challenges students to apply emerging technologies — including artificial intelligence, machine learning, and exascale computing — to create intelligent mobility solutions.
The Institute is one of 10 schools competing on the General Motors track and has been provided a 2026 Chevrolet Blazer EV. During the cycle, the team will modify the vehicle’s propulsion system to optimize efficiency and design connected and automated vehicle technologies without sacrificing safety or driving dynamics, closely mirroring industry goals.
Recruitment for the competition will begin this spring, following the conclusion of the current cycle, which culminates in final competition events in Detroit in late May.
Made up of more than 50 undergraduate and graduate students from six of Georgia Tech’s Colleges, the team reflects what faculty advisor Antonia Antoniou believes is the essence of the competition. Antoniou is a professor in the George W. Woodruff School of Mechanical Engineering.
“We have students represented from all over campus, and they have risen to meet every challenge,” she said. “They work together to optimize, design, and execute these tasks. Everything you can think of that we do at Georgia Tech happens while we're working on this car — from engineering and design of hardware and software to communications.”
Across six subteams, EcoCAR members have transformed a Cadillac LYRIQ EV to include new motors, a selectable drivetrain, and automated driving features. After testing the vehicle in environments ranging from Georgia Tech’s Student Competition Center to the Arizona desert, the team has earned multiple second-place finishes at competitions and first-place awards for presentation skills.
Antoniou, as well as David Taylor, a professor in the School of Electrical and Computer Engineering who will enter his fifth cycle, will return for the latest challenge, and three new advisors will join the team, including Frank K. Webb Academic Professional Chair in Communication Skills in the Woodruff School Jill Fennell and associate professors Sam Coogan (ECE) and Shuman Xia (ME).
Participation in the EcoCAR Challenge is paired with coursework through Georgia Tech’s Vertically Integrated Projects program, allowing students to gain hands-on experience while earning academic credit. The technical training and real-world problem-solving skills developed through the program make the competition a valuable experience, said Mason Shackelford, subsystem design and integration lead.
“A lot of what you do on the job, you have to learn on the job, and that’s what makes EcoCAR such a great opportunity,” Shackelford said. “You learn something new every day; there is always a new challenge and the thrill of finding unique ways to solve them. You get to meet a lot of people, work on a great team, and apply what you learn in class.”
Eric Gustafson, a graduate student in mechanical engineering, has worked on the project for five years, beginning as an undergraduate at Georgia Tech. As he prepares to graduate and start his career at MathWorks, he said he cannot imagine his time at Tech without EcoCAR and encouraged more students to join the upcoming cycle.
“When I look back in 15 years on what I did at Tech, all my memories will be of this competition,” Gustafson said. “Traveling to different testing sites — Austin, Los Angeles, Detroit, and Orlando — working with these amazing people, the 12-hour days. Those are going to be core memories forever.”
For application information, visit the EcoCAR VIP’s website.
“A small vial of genetically engineered cells can contain multiple millions of dollars’ worth of intellectual property and require several years of work to develop,” said Corey Wilson, a professor in Georgia Tech’s School of Chemical and Biomolecular Engineering (ChBE). “Accordingly, the protection of high-value engineered cell lines has become critically important to the biotechnology industry.”
Wilson and his research team have published their findings in Science Advances demonstrating the effectiveness of their new biological security technology, known as GeneLock™, in protecting high-value engineered cell lines.
GeneLock is a cybersecurity-inspired technology that protects valuable genetic material directly at the DNA level. To demonstrate its strength, Wilson’s team conducted what they describe as a first-of-its-kind biohackathon, detailed in the new paper, to simulate unauthorized access.
“GeneLock greatly improves our ability to protect high-value engineered cell lines by expanding security from the lab environment to the genetic level,” Wilson said.
Economic Impact
What are the stakes? Estimates place the global market for high-value genetic materials at more than $1.5 trillion, projected to reach $8 trillion by 2035. The use of these materials ranges from advanced medicines and proprietary research enzymes to specialty chemicals and sustainable materials.
Currently, the protection of high-value cell lines depends on physical safeguards such as restricted lab access and secure facilities, Wilson explained.
“The key weakness of physical security measures is once circumvented, there are typically no measures in place to protect valuable cells from theft, abuse, or unauthorized use,” Wilson said.
“Once a sample leaves the building, the DNA it carries typically remains fully functional. This is like placing an unlocked cellphone in a desk drawer. Anyone who gains access to the drawer can view sensitive content on the phone—or in this case will have full access to the valuable cell line.”
Genetic Passcode Protection
The GeneLock biological security technology developed by Wilson and his team places a passcode on engineered cells, akin to those used on ATM machines and protected cellphones.
Instead of leaving a valuable gene in readable form, the team scrambles the DNA sequence of interest. The scrambled genetic asset remains in a nonfunctional state unless the living cell where it resides receives the correct sequence of chemical inputs. Those inputs act as a molecular passcode.
“Only the right combination, delivered in the right order, rearranges the DNA into a working form,” Wilson said.
Biohackathon Security Test
To evaluate the technology, the researchers organized a blue team and a red team in what they describe as an ethical biohackathon. The blue team designed the encrypted DNA sequence, while the red team was challenged to discover the correct chemical passcode through experimentation in a gray box exercise, meaning the red team had partial knowledge of the system but did not have access to the internal designs.
“This approach for testing security strength is commonly used in cybersecurity,” Wilson explained.
The blue team engineered the system inside Escherichia coli, or E. coli, a bacterium widely used in biotechnology. The protected asset was a fluorescent protein gene selected as a measurable stand-in for commercially valuable targets. When the correct chemical sequence was applied, the fluorescence turned on. Without the correct passcode, the gene remained scrambled and the cells could not fluoresce green.
“In practice, most DNA sequences produce valuable proteins or chemicals that are essentially invisible to the human eye, requiring specialized devices or experiments to observe,” Wilson said. “If the biohackathon were conducted with a standard commercially valuable target, the penetration testing would have taken more than 10 times longer to complete, years instead of months.”
The biohackathon results showed a dramatic reduction in risk. GeneLock reduced the probability of unlocking the genetic asset by random search to about 1 in 85,000 (a 0.001% chance), assuming the unauthorized user had access to the required chemical inputs.
Without access to those inputs, “the likelihood of success by chance becomes effectively negligible,” said Dowan Kim (Georgia Tech PhD 2024), co-lead author of the study.
Commercial Uses and What’s Next
Although the researchers used a non-commercial fluorescent protein as a test case, the implications extend much further. Many biotechnology companies rely on proprietary engineered strains. New England Biolabs, for example, produces more than 265 non-disclosed enzymes in E. coli, each representing a high-value cell line.
Protein-based drugs are also manufactured in living cells, and proprietary metabolic pathways are used to produce specialty chemicals, bioplastics, and high-value ingredients.
“In each case, the genetic blueprint inside the cell represents intellectual property that can be protected by our technology,” said Ishita Kumar, a PhD candidate in ChBE and co-lead author of the study.
While the team’s current focus is on protecting intellectual property in the form of high-value cells, future iterations aim to strengthen biological security more broadly.
“We are currently developing protection measures to mitigate unauthorized use or release of sensitive cell lines that can be potentially hazardous to human health or the environment,” Wilson said.
“As it stands, GeneLock represents an important shift in biological security, enabling, for the first time, protection of valuable cells at the genetic level, even after physical security measures have been bypassed,” he added.
The work is already moving toward commercialization. The team filed a provisional patent application with the U.S. Patent and Trademark Office in February 2026 and is forming a company to deploy the technology.
CITATION:
Dowan Kim, Ishita Kumar, Mohamed Hassan, Luisa F. Barraza-Vergara, Christopher A. Voigt, and Corey J. Wilson, “Protecting cells at the genetic level and simulating unauthorized access via a biohackathon,” Science Advances, 2026.
]]>A team of researchers led by Ankur Singh, the Carl Ring Family Professor in the George W. Woodruff School of Mechanical Engineering and professor in the Wallace H. Coulter Department of Biomedical Engineering at Georgia Tech and Emory University, has been awarded up to $6 million from the Defense Threat Reduction Agency (DTRA) of the U.S. Department of Defense to accelerate the development of medical countermeasures (MCMs) against deadly biological threats that endanger public health, national security, and warfighters.
DTRA’s mission is to provide solutions that enable the Department of Defense, the U.S. government, and international partners to deter strategic threats. A key priority is advancing new or improved MCMs that can be deployed before or after exposure to biological or chemical agents.
Singh’s multi-year project, Systematic Human Immune Engineering for Lethal Disease (SHIELD) Countermeasures, aims to create a threat-agnostic platform that transforms how respiratory pathogens and toxins are studied. The platform is designed to speed up the discovery, development, and production of immune-based countermeasures.
Singh leads a collaborative team that includes Cornell University’s Matthew DeLisa and Stanford University’s Michael Jewett. Together, they will integrate immune-engineering technologies with advanced cell-free protein synthesis platforms to discover and manufacture protein-based MCMs. Cell-free protein synthesis is a laboratory technique that efficiently produces proteins without relying on living cells, which can be unpredictable and technically demanding when it comes to expressing complex or toxic proteins and scaling production quickly. The team expects the SHIELD Countermeasures platform to reduce the time and cost of MCM development by more than tenfold.
“The foundational science and cutting-edge tools we develop will ignite future discoveries, ensuring a robust pipeline of advanced protein-based MCMs for chemical and biological defense,” said Singh, who also directs the Center for Immunoengineering at Georgia Tech. “This will significantly enhance national security and equip our warfighters with next-generation biodefense capabilities."
Traditional animal models often fail to accurately replicate human immune responses, and standard tissue cultures lack the complexity required to study how immune cells interact with pathogens. In contrast, human immune organoids and immune-competent devices — built from human cells — are emerging as groundbreaking research tools. These systems recreate key immune features, such as lymph nodes and mucosal environments, within three-dimensional or microengineered platforms.
“Many organoid and engineering devices, often called organ-on-chip platforms, lack immune integration,” Singh said. “Because immunity sits at the center of human health, these limitations have broad consequences. Immune-competent organ-on-chip platforms extend this concept by combining human cells with microfluidic engineering that simulates blood flow, tissue barriers, and chemical gradients.”
Singh has previously published studies on a synthetic human immune chip and an immunocompetent lung on a chip, and has also teamed up with DeLisa previously to use synthetic immune organoids for immuno-profiling antibacterial MCMs.
“It’s about being able to test far larger numbers of candidate protein-based MCMs in a single experiment—and to do it much faster,” DeLisa said. “Cell-free systems allow us to produce MCMs at unprecedented speed and scale, but traditional evaluation methods can’t keep up with those numbers. By combining cell-free MCM production with immune organoid technology, we can assess the potency of dozens or even hundreds of candidates at a time and characterize the resulting immune responses within just a few days.”
By integrating immune cells with tissues such as lung, gut, skin, or vascular systems, these devices allow scientists to observe immune responses in real time, including cell migration, inflammation, and interactions with pathogens or therapeutics. As biological threats evolve, the development and deployment of immune-competent platforms will be critical for rapid, effective countermeasures.
DTRA’s investment in Singh’s work highlights the urgent national priority of strengthening U.S. biodefense capabilities. The SHIELD Countermeasures platform and its cutting-edge technologies promise to transform the nation’s response to biological threats and help safeguard communities from biological and chemical attacks.
]]>ISyE researchers are applying AI to complex manufacturing environments, including multistage production systems, asset management, quality improvement, and human‑centered manufacturing. Faculty leaders emphasize the importance of contextualizing large volumes of manufacturing data so AI can support reliable decision‑making, efficient operations, and sustainable outcomes. At the same time, the initiative acknowledges challenges such as data integration, system complexity, and the need to balance automation with human involvement. Together, these efforts position ISyE at the forefront of shaping AI‑powered manufacturing systems that are innovative, resilient, and socially responsible.
Read the full article in ISyE Magazine
]]>The Georgia Scientific Computing Symposium (GSCS) held its annual meeting on February 21 in Athens. Since 2009, the event has hosted researchers from across the Peach State to showcase homegrown advances in scientific computing.
The symposium highlighted Georgia’s reputation as a computing innovation hub. People from around the world come to Georgia universities to lead computing research. By advancing science, engineering, medicine, and technology, their work improves communities at home and abroad.
Faculty and students from Georgia Tech, UGA, Georgia State University, and Emory University presented at the symposium. Georgia Tech participants came from the colleges of Computing, Engineering, and Sciences.
This year’s organizers agreed to meet in Atlanta for the 2027 symposium. Georgia Tech’s School of Computational Science and Engineering (CSE) will host the 19th GSCS.
“From healthcare to computer chip design, scientific computing underpins many of the technological advances we see in our lives,” said Professor Edmond Chow, associate chair of the School of CSE.
“Scientific computing provides the mathematical models, simulations, and data‑driven tools that make modern innovation possible. It allows people to analyze complex systems, test ideas virtually before building them, and make faster, more accurate decisions across nearly every sector of society.”
Professor Haomin Zhou and Assistant Professor Helen Xu delivered two of the symposium’s five plenary talks.
Zhou presented a new method for solving the Schrödinger equation, a landmark equation in quantum mechanics. Drawing inspiration from the mathematics used in generative artificial intelligence models, his approach develops an algorithm that more effectively simulates waves, particle motion, and other physical systems.
Xu focused on improving how computers move and organize data during complex calculations. Her work uses “cache-friendly” layouts that help computers access data more efficiently, boosting performance for scientific and engineering applications.
“Speaking at GSCS was a great opportunity,” Xu said. “The symposium fostered connections within the scientific computing community and gave us a chance to share exciting research.”
The symposium showcased student work through a poster blitz and a poster session. During the blitz, 36 students each had one minute to introduce their research to the full audience. They then shared more details about their research during the poster session.
The student projects showed the range of fields supported by scientific computing. The session also provided attendees with an opportunity to connect and expand their professional networks, helping grow the field’s future impact.
“As an aerospace engineer by training and aspiring computational scientist, GSCS gave me the platform to network with other researchers in the field while showcasing my own research,” said M.S. student Kashvi Mundra.
“I was able to connect with scientists across different disciplines whose work intersects with my own in unexpected ways. Those conversations pushed my thinking beyond my own lab's perspective, helping me see my work on physics-informed machine learning for inverse problems in a broader scientific computing context.”
Georgia Tech students who presented posters included:
Abir Haque (CSE), Massively Parallel Random Phase Approximation Correlation Energy via Lanczos Quadrature
Antonio Varagnolo (CSE), Physics-Enhanced Deep Surrogates for the Phonon Boltzmann Transport Equation
Ben Burns (CSE), Infinite-Dimensional Stein Variational Inference with Derivative-Informed Neural Operators
Ben Wilfong (CSE), Shocks without Shock Capturing; Compressible Flow at 1 quadrillion Degrees of Freedom without Loss of Accuracy
Daniel Vickers (CSE), Highly-Parallel Fluid-Solid Interactions for Compressible Flows
Eric Fowler (CSE), High-Performance Tensor Contractions in Computational Chemistry
Haoran Yan (Math), Understanding Denoising Autoencoders through the Manifold Hypothesis: A Geometric Perspective
Kashvi Mundra (CSE), Autoregressive Multifidelity Neural Surrogate Modeling under Scarce Data Regimes
Sebastián Gutiérrez Hernández (Math/CSE), PDPO: Parametric Density Path Optimization
Vivian Zhang (AE), Multifidelity Operator Inference: Non-Intrusive Reduced Order Modeling from Scarce Data
Xian Mae Hadia (CSE), Data Efficiency of Surrogate Models: Learning Physics Data from Full Field Data vs. Inductive Bias from Approximate PDE Solvers
Xiangming Huang (CSE), Neural Operator Accelerated Evolutionary Strategies for PDE-Constraint Optimization
Zhaiming Shen (Math), Understanding In-Context Learning on Structured Manifolds: Bridging Attention to Kernel Methods
Zhongjie Shi (Math), Towards Understanding Generalization in DP-GD: A Case Study in Training Two-Layer CNNs
]]>The Georgia Scientific Computing Symposium (GSCS) held its annual meeting on February 21 in Athens. Since 2009, the event has hosted researchers from across the Peach State to showcase homegrown advances in scientific computing.
The symposium highlighted Georgia’s reputation as a computing innovation hub. People from around the world come to Georgia universities to lead computing research. By advancing science, engineering, medicine, and technology, their work improves communities at home and abroad.
]]>New cybersecurity research from the Georgia Institute of Technology, however, revealed that crews aboard commercial vessels were often not adequately prepared to manage cyberattacks effectively due to systemic training gaps.
The findings are based on interviews conducted by researchers with more than 20 officer-level mariners to assess the maritime industry’s readiness to handle cybersecurity attacks at sea.
"Historically, cybersecurity research has focused heavily on cyber-physical systems like cars, factories, and industrial plants, but ships have largely been overlooked,” said Anna Raymaker, Ph.D. student and lead researcher.
“That gap is concerning when more than 90% of the world’s goods travel by sea. Recent incidents, from GPS spoofing to ships linked to subsea cable disruptions, show that maritime systems are increasingly part of the global cyber threat landscape.”
The researchers proposed four practical strategies to strengthen maritime cyber defenses and close the training gaps. Their findings were presented recently at the ACM SIGSAC Conference on Computer and Communications Security (CCS).
Many of those interviewed for the study described current cybersecurity training as “boilerplate” — generic modules that don’t reflect real shipboard risks.
Researchers recommend:
At sea, crews can’t simply escalate a cyber incident to a shore-based IT department and wait. Operational resilience requires onboard readiness.
Researchers recommend:
Related Article: When GPS lies at sea: How electronic warfare is threatening ships and their crews by Anna Raymaker
Maritime cybersecurity regulations are often reactive and fragmented. Researchers argue the industry needs a cohesive, domain-specific framework.
Key recommendations include:
Finally, the researchers stress that long-term resilience requires deeper technical research focused on maritime systems.
Priority areas include:
Cyber threats at sea are no longer hypothetical. Mariners report real-world incidents ranging from GPS spoofing to ransomware that disrupts global trade.
“Through our interviews with mariners, I saw firsthand how much dedication and pride they take in their work,” said Raymaker. “Our goal is for this research to serve as a call to action for researchers, policymakers, and industry to invest more attention in maritime cybersecurity and support the people who risk their lives every day to keep global trade, food, and energy moving."
A Sea of Cyber Threats: Maritime Cybersecurity from the Perspective of Mariners was presented at CCS 2025. It was written by Raymaker and her colleagues, Ph.D. students Akshaya Kumar, Miuyin Yong Wong, and Ryan Pickren; Research Scientist Animesh Chhotaray, Associate Professor Frank Li, Associate Professor Saman Zonouz, and Georgia Tech Provost and Executive Vice President for Academic Affairs Raheem Beyah.
]]>Communications Officer II School of Cybersecurity and Privacy
]]>In the International Disaster Reconnaissance (IDR) course, students now use Filio, a platform built by School of Computing Instruction Senior Lecturer Max Mahdi Roozbahani, to capture immersive 360° media, photos, and video that transform real disaster sites in India and Nepal into living digital classrooms.
Offered by the School of Civil and Environmental Engineering and taught by IDR director and Regents’ Professor David Frost, the course pairs traditional fieldwork with Roozbahani’s expertise in immersive technology and data-driven learning, transforming on-the-ground observations into reusable, interactive educational resources.
Disasters are not only physical events; they are also information events, Roozbahani says. Effective response and long-term resilience depend on the ability to observe, record, and communicate critical data under pressure. Georgia Tech’s IDR course pairs structured on-campus preparation with international field experiences, enabling students to study the cascading effects of major disasters, including how local building practices, governance, and culture shape damage and recovery.
“When students step into a disaster zone, they learn quickly that resilience is a systems problem: physical, social, and informational. Our job in computing is to help them capture and reason about that system responsibly,” Roozbahani said.
During spring break last year, the cohort traveled along the Teesta River corridor in Sikkim, India. The region is shaped by steep terrain, fast-moving water, and critical infrastructure in narrow valleys.
The visit followed the October 2023 glacial lake outburst flood from South Lhonak Lake, which destroyed the Teesta III hydropower dam and impacted downstream towns, including Dikchu and Rangpo. Field stops across India included Lachung, Chungthang, Dikchu, Rangpo, Gangtok, and New Delhi.
Students explored both upstream and downstream consequences.
Upstream, the team examined how steep terrain and river confinement amplify flood forces, creating cascading risks for infrastructure. Using Filio’s interactive 360° media, students captured conditions in Lachung and Chungthang, allowing viewers to explore the landscape through a 360° photo and 360° video that reveal how topography and river dynamics intensify disaster impacts.
They studied community-scale effects downstream, including damaged buildings, disrupted access, and prolonged recovery timelines.
Rangpo offered a glimpse of recovery in motion, with materials staged for rebuilding bridges and roads essential to commerce and emergency response.
Students documented their field experience using Filio, an AI-powered visual reporting platform developed by Roozbahani through Georgia Tech’s CREATE-X ecosystem. Filio captures high-resolution photos, video, and 360° immersive media, preserving both the facts and the context of disaster sites; what the site felt like, what was lost, and what communities prioritized in recovery.
“A 360° capture lets students return months later and ask better questions. That second look is where learning accelerates,” Roozbahani said.
Supported by alumni and faculty mentors, including Tech alumnus Chris Klaus and Georgia Tech mentor Bill Higginbotham, the platform is evolving into a reusable educational library for future courses on immersive technology, responsible AI, and global resilience.
The course concluded in Kathmandu, Nepal, where students examined how heritage, governance, and the everyday use of public space shape resilience.
Through Filio’s immersive documentation — including a 360° photo and 360° video from Kathmandu — the focus broadened from hazard impacts to cultural context, highlighting how recovery is not only about rebuilding structures, but also about preserving identity, memory, and community.
Frost and Roozbahani envision the IDR immersive media library as a reusable resource for students even when they cannot travel, supporting future courses on immersive technology, responsible AI, and global resilience. Spring 2026 cohorts will continue to build on this foundation by documenting, analyzing, and sharing insights that can improve education and real-world disaster response.
In the International Disaster Reconnaissance (IDR) course, students now use Filio, a platform built by School of Computing Instruction Senior Lecturer Max Mahdi Roozbahani, to capture immersive 360° media, photos, and video that transform real disaster sites in India and Nepal into living digital classrooms.
]]>Indoor farms, also known as vertical farms, are popular among agricultural researchers and are expanding across the agricultural industry. Some benefits they have over outdoor farms include:
Additionally, some studies indicate that indoor farms produce more nutritious food for urban communities.
However, these farms are often inaccessible to birds, bees, and other natural pollinators, leaving the pollination process to humans. The tedious process must be completed by hand for each flower to ensure the indoor crop flourishes.
Ai-Ping Hu, a principal research engineer at the Georgia Tech Research Institute (GTRI), has spent years exploring methods to efficiently pollinate flowering plants and food crops in indoor farms to find a way to efficiently pollinate flower plants and food crops in indoor farms.
Hu, Assistant Professor Shreyas Kousik of the George W. Woodruff School of Mechanical Engineering, and a rotating group of student interns have developed a robot prototype that may be up to the task.
The robot can efficiently pollinate plants that have both male and female reproductive parts. These plants only require pollen to be transferred from one part to the other rather than externally from another flower.
Natural pollinators perform this task outdoors, but Hu said indoor farmers often use a paintbrush or electric tootbrush to ensure these flowers are pollinated.
An early challenge the research team addressed was teaching the robot to identify the “pose” of each flower. Pose refers to a flower’s orientation, shape, and symmetry. Knowing these details ensures precise delivery of the pollen to maximize reproductive success.
“It’s crucial to know exactly which way the flowers are facing,” Hu said.
“You want to approach the flower from the front because that’s where all the biological structures are. Knowing the pose tells you where the stem is. Our device grasps the stem and shakes it to dislodge the pollen.
“Every flower is going to have its own pose, and you need to know what that is within at least 10 degrees.”
Harsh Muriki is a robotics master’s student at Georgia Tech’s School of Interactive Computing, who used computer vision to solve the pose problem while interning for Hu and GTRI.
Muriki attached a camera to a FarmBot to capture images of strawberry plants from dozens of angles in a small garden in front of Georgia Tech’s Food Processing Technology Building. The FarmBot is an XYZ-axis robot that waters and sprays pesticides on outdoor gardens, though it is not capable of pollination.
“We reconstruct the images of the flower into a 3D model and use a technique that converts the 3D model into multiple 2D images with depth information,” Muriki said. “This enables us to send them to object detectors.”
Muriki said he used a real-time object detection system called YOLO (You Only Look Once) to classify objects. YOLO is known for identifying and classifying objects in a single pass.
Ved Sengupta, a computer engineering major who interned with Muriki, fine-tuned the algorithms that converted 3D images into 2D.
“This was a crucial part of making robot pollination possible,” Sengupta said. “There is a big gap between 3D and 2D image processing.
“There’s not a lot of data on the internet for 3D object detection, but there’s a ton for 2D. We were able to get great results from the converted images, and I think any sector of technology can take advantage of that.”
Sengupta, Muriki, and Hu co-authored a paper about their work that was accepted to the 2025 International Conference on Robotics and Automation (ICRA) in Atlanta.
The pollination robot, built in Kousik’s Safe Robotics Lab, is now in the prototype phase.
Hu said the robot can do more than pollinate. It can also analyze each flower to determine how well it was pollinated and whether the chances for reproduction are high.
“It has an additional capability of microscopic inspection,” Hu said. “It’s the first device we know of that provides visual feedback on how well a flower was pollinated.”
For more information about the robot, visit the Safe Robotics Lab project page.
]]>A Georgia Tech research led by Ai-Ping Hu and Shreyas Kousik team is working to solve that. A robot they've developed can efficiently pollinate plants that have both male and female reproductive parts. These plants only require pollen to be transferred from one part to the other rather than externally from another flower.
]]>In these contests, a handler directs a trained dog with whistle signals to guide a small group of sheep across a field and sometimes split the flock cleanly into two groups. But sheep do not always cooperate.
Researchers at the Georgia Institute of Technology studied how handler–dog teams manage these unpredictable flocks in sheepdog trials and found principles that extend beyond livestock herding.
In a study published in Science Advances as the cover feature, the researchers applied those insights to computer simulations showing how similar strategies could improve the control of robot swarms, autonomous vehicles, AI agents, and other networked systems where many machines must coordinate their actions despite uncertain conditions.
Group Movement Dynamics
“Birds, bugs, fish, sheep, and many other organisms move in groups because it benefits individuals, including protection from predators,” said Saad Bhamla, an associate professor in Georgia Tech’s School of Chemical and Biomolecular Engineering. “The puzzle is that the ‘group’ is not a single organism. It is built from many individuals, each making local, imperfect decisions.”
When a predator threatens a herd of sheep, individuals near the edge often move toward the center to reduce their own risk, Bhamla explained. “This is ‘selfish herd’ behavior,” he said. “Shepherds exploit that instinct using trained dogs.”
From examining hours of contest footage, the researchers found that controlling small groups of sheep can be harder than managing large ones. A larger group, with more sheep protected in the center, may behave more coherently than a small group as the animals constantly shift between two instincts: “follow the group” and “flee the dog.”
“That switching behavior makes the group unpredictable,” said Tuhin Chakrabortty, a former postdoctoral researcher in the Bhamla Lab who co-led the study.
Looking closely at how dogs and their handlers guide small groups, the researchers found that unpredictability in the flock’s behavior does not always make control harder. “Under the right conditions, that ‘noisy’ behavior might actually be a benefit,” Bhamla said.
Successful Sheep Herding
Sheepdog handlers categorize sheep by how strongly they respond to a dog’s threatening pressure. Some very responsive sheep might panic under too much pressure, while others might ignore mild pressure and require stronger positioning by the dog.
The researchers observed that successful control often followed a two-step pattern. First, the dog subtly influenced the sheep’s orientation while the animals were mostly standing still. Once the flock was aligned in the desired direction, the dog increased pressure to trigger movement. The timing of those actions was critical, because alignment within a small group could disappear quickly as individuals switched between instincts.
“In our simulations, increasing pressure makes the flock reach the desired orientation faster, but how long the flock stays aligned is set mainly by noise,” Chakrabortty said. “In essence, dogs can steer the direction, but they can’t hold that decision indefinitely, so timing matters.”
Developing Computer Models
To understand the broader implications of that behavior, the team developed computer models that captured how sheep respond both to the dog and to one another. The models allowed the researchers to test different strategies for guiding groups whose members make independent decisions under uncertainty.
They then applied those ideas to simulations of robotic swarms. Engineers often design such systems so that each robot blends signals from all nearby robots before deciding how to move. While that approach works well when signals are clear, it can break down when information is noisy or conflicting, Bhamla explained.
To explain why that switching strategy can work under noisy conditions, the researchers used an analogy of a smoke-filled room where only one person can see the exit, and no one knows who that person is. If everyone polls everyone else and averages the guesses, the one correct signal can get diluted by many noisy ones.
“That’s the counterintuitive part. When only one person has the right information, averaging can wash out the signal. But if you follow one person at a time, and keep switching who that is, the right information can spread through the crowd,” Bhamla said.
Building on that idea, the researchers tested a strategy inspired by the switching behavior they observed in sheep. In the simulations, each robot paid attention to just one source at a time (either a guiding signal or a neighboring robot) and switched that source from one step to the next.
Under noisy conditions, this switching strategy required less effort to keep the group moving along a desired path than either averaging-based strategies or fixed leader-follower strategies.
The researchers call their approach the Indecisive Swarm Algorithm. The name reflects a counterintuitive insight: allowing influence to shift among individuals over time can make groups easier to guide when conditions are uncertain.
“Our findings suggest that the same dynamics that make small animal groups unpredictable may also offer new ways to control complex engineered systems,” Bhamla said.
CITATION: Tuhin Chakrabortty and Saad Bhamla, “Controlling noisy herds: Temporal network restructuring improves control of indecisive collectives,” Science Advances, 2026
This research was funded in part by Schmidt Sciences as part of a Schmidt Polymath grant to Saad Bhamla.
Some labs in the School of Electrical and Computer Engineering (ECE) use liquid nitrogen and liquid helium to chill cryogenic test systems to as low as 4 Kelvins (K), or -452.47 degrees Fahrenheit (F), temperatures that rival the coldest regions of deep space.
At this point, materials and electronic devices stop behaving in familiar ways, which is exactly why ECE researchers use these extreme conditions to explore and develop new semiconductor technologies.
“Electronics are very temperature dependent,” Professor John Cressler said, whose lab houses some of these cryogenic test systems. “Whether you see it or not, every electronic you buy has a tested temperature spec associated with it.”
Current commercially sold devices, including most cell phones, are made to run between 32 F and 85 F. Researchers in ECE test across a far wider range, as they develop technology with extraterrestrial and quantum computing applications in mind.
Other ECE teams work in natural extremes, carrying instruments into polar regions where cold creates challenges that no lab can fully replicate.
Just as cold pushes athletes in different ways, it guides ECE research down its own distinct paths.
Read the full story on the School of Electrical and Computer Engineering's website.
]]>A newly discovered vulnerability could allow cybercriminals to silently hijack the artificial intelligence (AI) systems in self-driving cars, raising concerns about the security of autonomous systems increasingly used on public roads.
Georgia Tech cybersecurity researchers discovered the vulnerability, dubbed VillainNet, and found it can remain dormant in a self-driving vehicle’s AI system until triggered by specific conditions.
Once triggered, VillainNet is almost certain to succeed, giving attackers control of the targeted vehicle.
The research finds that attackers could program almost any action within a self-driving vehicle’s AI super network to trigger VillainNet. In one possible scenario, it could be triggered when a self-driving taxi’s AI responds to rainfall and changing road conditions.
Once in control, hackers could hold the passengers hostage and threaten to crash the taxi.
The researchers discovered this new backdoor attack threat in the AI super networks that power autonomous driving systems.
“Super networks are designed to be the Swiss Army knife of AI, swapping out tools, or in this case sub networks, as needed for the task at hand," said David Oygenblik, Ph.D. student at Georgia Tech and the lead researcher on the project.
"However, we found that an adversary can exploit this by attacking just one of those tiny tools. The attack remains completely dormant until that specific subnetwork is used, effectively hiding across billions of other benign configurations."
This backdoor attack is nearly guaranteed to work, according to Oygenblik. This blind spot is nearly undetectable with current tools and can impact any autonomous vehicle that runs on AI. It can also be hidden at any stage of development and include billions of scenarios.
“With VillainNet, the attacker forces defenders to find a single needle in a haystack that can be as large as 10 quintillion straws," said Oygenblik.
"Our work is a call to action for the security community. As AI systems become more complex and adaptive, we must develop new defenses capable of addressing these novel, hyper-targeted threats."
The hypothetical fix to the problem was to add security measures to the super networks. These networks contain billions of specialized subnetworks that can be activated on the fly, but Oygenblik wanted to see what would happen if he attacked a single subnetwork tool.
In experiments, the VillainNet attack proved highly effective. It achieved a 99% success rate when activated while remaining invisible throughout the AI system.
The research also shows that detecting a VillainNet backdoor would require 66x more computing power and time to verify the AI system is safe. This challenge dramatically expands the search space for attack detection and is not feasible, according to the researchers.
The project was presented at the ACM Conference on Computer and Communications Security (CCS) in October 2025. The paper, VillainNet: Targeted Poisoning Attacks Against SuperNets Along the Accuracy-Latency Pareto Frontier, was co-authored by Oygenblik, master's students Abhinav Vemulapalli and Animesh Agrawal, Ph.D. student Debopam Sanyal, Associate Professor Alexey Tumanov, and Associate Professor Brendan Saltaformaggio.
Georgia Tech cybersecurity researchers discovered the vulnerability, dubbed VillainNet, and found it can remain dormant in a self-driving vehicle’s AI system until triggered by specific conditions.
Once triggered, VillainNet is almost certain to succeed, giving attackers control of the targeted vehicle.
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Historically, most engineers believed the former, using heterogeneities, or differences, in materials to make materials stronger and more resilient. However, research from Georgia Tech is showing that, in some cases, heterogeneities make materials weaker and can even accelerate cracks.
Led by School of Physics Assistant Professor Itamar Kolvin, the study, “Dual Role for Heterogeneity in Dynamic Fracture,” was published in Physical Review Letters this fall.
While Kolvin’s work is theoretical, the results of the research are widely applicable. “Predicting this type of toughening effect helps engineers decide how much reinforcement to add to a material, and the best way to do so,” he says. “Cracks are complex — they interact with the material, change shape, and respond dynamically. All of this affects the overall toughness, which impacts safety.”
The study found that the key to crack behavior starts at the microscopic level where the material’s microscopic structure influences how it resists cracks running at different speeds.
“Cracks propagate by breaking bonds, and that costs energy,” he explains. “On top of this, materials experience extreme deformations close to where the crack runs, which costs additional energy. In some materials, the amount of this energy cost can depend on the crack’s speed because of microscopic friction between molecules.”
Other materials, like window glass, are mostly indifferent to the crack speed. These materials are made of simple molecules, allowing a crack to propagate slowly or quickly using the same amount of energy. The researchers found that including heterogeneities can help strengthen these materials.
Materials made of more complex molecules, like polymer plastics and gels, on the other hand, are velocity dependent: it takes more energy for a crack to propagate faster. In these materials, heterogeneities are less effective at toughening, and if the crack is fast enough, heterogeneities could help it advance. “That’s something we didn’t expect when we started,” Kolvin says.
After discovering which types of materials can benefit from heterogeneities, Kolvin wanted to investigate the best way to add them. “Natural materials like rocks are usually very messy and disordered,” he explains, “but in engineering, heterogenous materials tend to be patterned.” For example, imagine a manufactured material: heterogeneities may be added in a grid-like or other patterned way. Now, contrast that with the irregular freckles and inclusions you might see in a rock found in a streambed.
Kolvin’s question was simple: which material was stronger? The results, again, were surprising. The disordered case — similar to what is found in nature — created the toughest material.
Among the patterned materials the team tested, only one was as tough as the disordered case — and every other pattern tested made the material weaker.
At Georgia Tech, Kolvin’s lab focuses on the mechanics of materials — both solid and fluid. “We are using our expertise in physics to explore questions across different fields,” he says. “A common concept is treating materials as continua — zooming out from molecular detail to look at how materials deform and flow at the large scale.”
This current research follows suit with applications ranging from investigating the smallest material microstructures to predicting earthquake fractures. “Earthquake faults are highly disordered, and simulating these ruptures is a major challenge, usually requiring supercomputers to solve crack propagation in three dimensions,” Kolvin says. “But with the tools our study has developed, we can simulate similar conditions and large systems using just a desktop computer.”
“This opens the doors for scientists, engineers, physicists, and geologists to explore problems right from their own computer, allowing more researchers access to more tools,” he adds. “And new tools often lead to new discoveries.”
DOI: https://doi.org/10.1103/j4vb-y1ng
]]>The Eshelby Mechanics Award was established in 2012 in memory of Professor John Douglas Eshelby to promote the field of mechanics, among young researchers. The award will be formally presented at the 2026 Applied Mechanics Division Awards Banquet during the ASME International Mechanical Engineering Congress and Exposition in November.
Athanasiou and his team advance the fundamental mechanics and physics of materials and translates these insights into systems-level design strategies that address global challenges in resource efficiency and sustainable development. His research integrates advanced experimental methods capable of capturing material behavior under realistic operational conditions, mechanics-based design principles, and tailored AI- and physics-informed modeling frameworks.
Together, these efforts enable the development of life-cycle-efficient, cost-effective materials and structures for applications ranging from sustainable packaging to aerospace systems and space construction. His recent work published in Proceedings of the National Academy of Sciences (PNAS) introduced a bioinspired framework to improve plastic recycling while addressing a foundational mechanics question: how can we build reliable structures from inherently variable materials?
Athanasiou is also the recipient of the 2024 NSF CAREER Award and the ASME Orr Early Career Award, and is a Climate Tech Fellow at the New York Climate Exchange.
]]>McDowell is one 130 new members and 28 international members in the 2026 class. Election to the NAE is among the highest professional recognitions for engineers and an honor bestowed on just 2,900 professionals worldwide. New members are nominated and voted on by the Academy’s existing membership.
McDowell is Georgia Tech’s 50th NAE member. He is Regents’ Professor Emeritus in the George W. Woodruff School of Mechanical Engineering and the School of Materials Science and Engineering.
Read the full story about McDowell on the College of Engineering website.
]]>The National Academy of Inventors is honoring two Georgia Tech faculty members for their contributions to technology and society: Deepakraj “Deepak” Divan and Arijit Raychowdhury. Both are in the School of Electrical and Computer Engineering.
Raychowdhury is a semiconductor pioneer whose patented circuit and system-on-chip designs have advanced computing efficiency and commercialization. Divan is a global leader in power electronics and grid modernization, whose innovations and ventures have transformed how electricity is delivered and managed worldwide.
“Congratulations to Deepakraj and Arijit on earning one of the most esteemed accolades in technology and discovery. Their groundbreaking work, with nearly 100 patents between them, advances solutions to global challenges,” said Raghupathy “Siva” Sivakumar, chief commercialization officer at Georgia Tech. “Their success exemplifies how research commercialization drives real-world impact, and we’re proud to see them honored as academy fellows.”
Election to NAI is the highest professional distinction specifically awarded to inventors. With this recognition, Georgia Tech’s roster of NAI Fellows grows to 24. Divan and Raychowdhury join a 2025 class of 169 new fellows representing university, government, and nonprofit organizations worldwide. They will be inducted at the NAI 15th Annual Conference on June 4, 2026, in Los Angeles.
Professor Emeritus (2004-2025)
Georgia Research Alliance Eminent Scholar
School of Electrical and Computer Engineering
Founder, Georgia Tech Center for Distributed Energy
Deepakraj “Deepak” Divan is a globally recognized innovator in power electronics and grid transformation. He was awarded the IEEE Medal in Power Engineering in 2024.
He holds over 85 U.S. and international patents and has authored 400 refereed publications. His pioneering work on soft‑switching converters—integral for efficient energy storage, EV charging, and industrial controls—has spurred a global $70 billion power electronics industry.
Divan laid the groundwork for grid‑forming inverter control, enabling high-renewables integration. He is the co-author of Energy 2040: Aligning Innovation, Economics and Decarbonization, named by Forbes as one of the “10 Essential Books and Podcasts Every Leader Needs in 2025”.
“Being named an NAI Fellow is a tremendous honor,” said Divan. “It reflects years of effort to rethink how electricity is delivered and managed to solve real problems and to drive practical innovations that matter.”
As the founder of Georgia Tech’s Center for Distributed Energy, he led research that transforms electricity delivery through analytics, monitoring, and optimization.
An entrepreneur, Divan co-founded Varentec (backed by Bill Gates and Khosla Ventures) and seeded ventures including GridBlock, Soft Switching Technologies, Innovolt, and Smart Wires—raising over $500 million. A National Academy of Engineering member and IEEE Fellow, he champions scalable energy-access solutions worldwide.
Professor and Steve W. Chaddick School Chair
School of Electrical and Computer Engineering
Director, Center for the Co-Design of Cognitive Systems
Arijit Raychowdhury has been the Steve W. Chaddick School Chair of ECE since 2021. He is a leading innovator in semiconductor technologies, holding more than 27 U.S. and international patents and authoring over 350 publications.
His work spans low-power circuits, specialized accelerators, and system-on-chip design, with breakthroughs widely adopted in industry.
“This recognition reflects the collective effort of students, colleagues, and partners who share a vision for advancing microelectronics,” said Raychowdhury. “I am honored that NAI champions the same mission to lead through research, education, and innovation."
At Texas Instruments, he developed the world’s first adaptive echo-cancellation network for integrated Digital Subscriber Lines (DSL)—a patented technology that enabled high-speed internet over traditional phone lines that received the EDN Innovation of the Year award. At Intel, he developed and incorporated foundational memory and logic technologies that shaped commercial products across global markets for more than a decade.
His research on fine-grain power management of systems-on-chip at Georgia Tech has been licensed and widely adopted by the semiconductor industry.
He directs Georgia Tech’s Center for the Co-Design of Cognitive Systems and leads initiatives to advance microelectronics design with applications to AI. Over the years, he has served as a founding advisor and board member to multiple startups in the areas of edge-computing and low power design.
Raychowdhury’s research bridges invention and real-world impact, earning him numerous honors, including IEEE Fellow, Semiconductor Research Corporation Technical Excellence Award, and multiple industry awards. Through pioneering designs and mentorship, he continues to drive innovation in computing systems, influencing both academic research and industrial commercialization.
When Cole Rogers got the notice four years ago that he’d been moved off the waitlist and admitted to Georgia Tech, he knew exactly who to call first.
His grandfather, Peter Petrecca, had studied aerospace engineering at Tech and had a long career in aviation, engineering, and product development. No one would celebrate the news more, so Rogers called him with the news before he even told his parents.
Petrecca had raised three daughters and exposed them to engineering and making things. But none had been interested enough to make it a career — or study at Tech.
“Then Cole came along, and I had another opportunity,” Petrecca said. “We made model cars and motorcycles together and did other things. I wasn't sure he was going to go the engineering route, but I was thrilled when he got accepted.”
Now Rogers is graduating with his industrial engineering bachelor’s degree, and in the sometimes funny way history echoes itself, he’ll walk across the stage exactly 60 years after his grandfather finished his own degree.
It’s a path that probably has been quietly paved throughout Rogers’ life, during all his visits to his grandfather’s house.
Peter Petrecca, left, with his grandson Cole Rogers — Georgia Tech engineers who graduated 60 years apart. (Photo: Candler Hobbs)
]]>This semester’s Capstone Design Expo showcased the ingenuity and problem-solving skills of more than 118 student teams across seven disciplines. Among them, 17 teams represented H. Milton Stewart School of Industrial and Systems Engineering (ISyE), presenting a wide range of solutions, from optimizing scheduling for medical clinics, to refining inventory management for a major auto manufacturer, to enhancing sepsis detection through data-driven patient monitoring.
Capstone Design Expo monodisciplinary Industrial Engineering award went to Serving Solutions. The team partnered with North Fulton Community Charities (NFCC), a nonprofit dedicated to preventing hunger and homelessness, to design scalable systems for enhancing the overall customer experience.
“By focusing on operational efficiency and accessibility, we delivered improvements across three key areas,” said Emma MacGregor, a fourth-year ISyE student on the team. “We modernized inventory management by implementing barcode scanners to streamline tracking; we enhanced customer order processes by developing a more accessible interface supported by a digital queueing network and automated ticketing and printing system, and optimized the pantry layout to create more usable space while also reducing travel time through the pantry.”
In addition to MacGregor, the full team consisted of Samhith Aravind, Sachin Bharadwaz, Shaktik Bhattacharyya, Elyse Daniel, Erin Hinnegan, and Zora Ripkova, under the advisement of Xin Chen, James C. Edenfield Chair and ISyE professor.
Professor Chen noted that the team’s success was measured not only in numbers and workflows, but in real benefits for the families NFCC serves.
“Serving Solutions delivered measurable improvements to North Fulton Community Charities (NFCC)’s pantry operations and the families it serves, such as optimization-driven reshelving that expanded usable shelf space by 16.4%," said Chen. “Watching students transform classroom concepts (optimization, stochastic modeling, and applied data science) into practical systems that volunteers can easily run was truly inspiring.
He added that the benefits extend directly to the community, and how partnerships like these strengthen both student learning and nonprofit operations.
“Collaborations with food pantries like NFCC showcase the immense value of ISyE partnerships. When our students engage with mission-driven organizations, they don’t just apply theory; they create solutions that significantly enhance community impact. I look forward to more opportunities where these collaborations continue to drive lasting improvements that strengthen communities.”
To learn more about the expo, read the full capstone story here.
To ease this environmental burden, industry has worked to adopt renewable biopolymers in place of traditional plastics. However, developers of sustainable packaging have faced hurdles in blocking out moisture and oxygen, a barrier critical for protecting food, pharmaceuticals, and sensitive electronics.
Now, researchers at the Georgia Institute of Technology have developed a biologically based film made from natural ingredients found in plants, mushrooms, and food waste that can block moisture and oxygen as effectively as conventional plastics. Their findings were recently published in ACS Applied Polymer Materials.
“We’re using materials that are already abundant in and degrade in nature to produce packaging that won’t pollute the environment for hundreds or even thousands of years,” said Carson Meredith, a professor in Georgia Tech’s School of Chemical and Biomolecular Engineering (ChBE@GT) and executive director of the Renewable Bioproducts Institute. “Our films, composed of biodegradable components, rival or exceed the performance of conventional plastics in keeping food fresh and safe.”
Meredith’s research team has worked for more than a decade to develop environmentally friendly oxygen and water barriers for packaging. While earlier research using biopolymers showed promise, high humidity continued to weaken the barrier properties.
However, Meredith and his collaborators found a fix using a blend of these natural ingredients: cellulose (which gives plants their structure), chitosan (derived from crustacean-based food waste or mushrooms), and citric acid (from citrus fruits).
“By crosslinking these materials and adding a heat treatment, we created a thin film that reduced both moisture and oxygen transmission, even in hot, humid conditions simulating the tropics,” said lead author Yang Lu, a former postdoctoral researcher in ChBE@GT.
The barrier technology developed by the researchers consists of three primary components: a carbohydrate polymer for structure, a plasticizer to maintain flexibility, and a water-repelling additive to resist moisture. When cast into thin films, these ingredients self-organize at the molecular level to form a dense, ordered structure that resists swelling or softening under high humidity.
Even at 80 percent relative humidity, the films showed extremely low oxygen permeability and water vapor transmission, matching or outperforming common plastics such as poly(ethylene terephthalate) (PET) and poly(ethylene vinyl alcohol) (EVOH).
“Our approach creates barriers that are not only renewable, but also mechanically robust, offering a promising alternative to conventional plastics in packaging applications,” said Natalie Stingelin, professor and chair of Georgia Tech’s School of Materials Science and Engineering (MSE) and a professor in ChBE@GT.
The research team has filed for patent protection for the technology (patent pending). The research was supported by Mars Inc., Georgia Tech’s Renewable Bioproducts Institute, and the U.S. Department of Defense through the National Defense Science and Engineering Graduate Fellowship Program. Eric Klingenberg, a co-author of the study, is an employee of Mars, a manufacturer of packaged foods.
Citation: Yang Lu, Javaz T. Rolle, Tanner Hickman, Yue Ji, Eric Klingenberg, Natalie Stingelin, and Carson Meredith, “Transforming renewable carbohydrate-based polymers into oxygen and moisture-barriers at elevated humidity,” ACS Applied Polymer Materials, 2025.
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Even when engineers have a working device and brain, called a controller, changes and improvements to the exoskeleton system typically mean data collection and training start all over again. The process is expensive and makes bringing fully functional exoskeletons or robotic limbs into the real world largely impractical.
Not anymore, thanks to Georgia Tech engineers and computer scientists.
They’ve created an artificial intelligence tool that can turn huge amounts of existing data on how people move into functional exoskeleton controllers. No data collection, retraining, and hours upon hours of additional lab time required for each specific device.
Their approach has produced an exoskeleton brain capable of offering meaningful assistance across a huge range of hip and knee movements that works as well as the best controllers currently available. Their worked was published Nov. 19 in Science Robotics.
Full details on the College of Engineering website.
]]>Monteiro has been a leading figure in continuous optimization for decades, recognized for combining deep theoretical advances with practical algorithm design that has shaped modern optimization. His pioneering work includes foundational contributions to interior-point methods, the influential Monteiro–Zhang framework for semidefinite programming, and the Burer–Monteiro method, which made it possible to tackle massive optimization problems across areas such as machine learning, data science, and engineering.
The John von Neumann Theory Prize, awarded annually by INFORMS, honors a scholar (or scholars in the case of joint work) whose body of research represents fundamental, sustained contributions to theory. Prize criteria include significance, innovation, depth, and scientific excellence, with emphasis on work that has stood the test of time. Named for the legendary mathematician John von Neumann, the prize commemorates his extraordinary contributions to mathematics, computing, and applied science. Von Neumann’s work on the stored program concept and the IAS computer laid the foundation for modern computing architecture. He also played a pivotal role in advancing computational methods for solving some of the most complex scientific and engineering challenges of his time.
“Dr. Monteiro’s work exemplifies the spirit of the John von Neumann Theory Prize,” INFORMS noted in its announcement. “His contributions combine mathematical depth with wide-reaching impact, influencing generations of researchers and practitioners.”
Monteiro will receive the award, which includes a $5,000 honorarium, a medallion, and a citation, during the INFORMS Annual Meeting award ceremony in Atlanta on Sunday, October 26, 2025.
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