At the Intersection of Climate and AI, Machine Learning is Revolutionizing Climate Science

Jan 22, 2025 — Atlanta, GA

Researchers launch a a lightweight, balloon-borne instrument to collect data. "To keep advancing, we need scientists who can determine what data we need, collect that data, and solve problems," Bracco says. (NOAA)

Exponential growth in big data and computing power is transforming climate science, where machine learning is playing a critical role in mapping the physics of our changing climate.

“What is happening within the field is revolutionary,” says School of Earth and Atmospheric Sciences Associate Chair and Professor Annalisa Bracco, adding that because many climate-related processes — from ocean currents to melting glaciers and weather patterns — can be described with physical equations, these advancements have the potential to help us understand and predict climate in critically important ways.

Bracco is the lead author of a new review paper providing a comprehensive look at the intersection of AI and climate physics.

The result of an international collaboration between Georgia Tech’s Bracco, Julien Brajard (Nansen Environmental and Remote Sensing Center), Henk A. Dijkstra (Utrecht University), Pedram Hassanzadeh (University of Chicago), Christian Lessig (European Centre for Medium-Range Weather Forecasts), and Claire Monteleoni (University of Colorado Boulder), the paper, ‘Machine learning for the physics of climate,’ was recently published in Nature Reviews Physics.

“One of our team’s goals was to help people think deeply on how climate science and AI intersect,” Bracco shares. “Machine learning is allowing us to study the physics of climate in a way that was previously impossible. Coupled with increasing amounts of data and observations, we can now investigate climate at scales and resolutions we’ve never been able to before.”

Connecting hidden dots

The team showed that ML is driving change in three key areas: accounting for missing observational data, creating more robust climate models, and enhancing predictions, especially in weather forecasting. However, the research also underscores the limits of AI — and how researchers can work to fill those gaps.

“Machine learning has been fantastic in allowing us to expand the time and the spatial scales for which we have measurements,” says Bracco, explaining that ML could help fill in missing data points — creating a more robust record for researchers to reference. However, like patching a hole in a shirt, this works best when the rest of the material is intact.

“Machine learning can extrapolate from past conditions when observations are abundant, but it can’t yet predict future trends or collect the data we need,” Bracco adds. “To keep advancing, we need scientists who can determine what data we need, collect that data, and solve problems.”

Modeling climate, predicting weather

Machine learning is often used when improving climate models that can simulate changing systems like our atmosphere, oceans, land, biochemistry, and ice. “These models are limited because of our computing power, and are run on a three-dimensional grid,” Bracco explains: below the grid resolution, researchers need to approximate complex physics with simpler equations that computers can solve quickly, a process called ‘parameterization’.

Machine learning is changing that, offering new ways to improve parameterizations, she says. “We can run a model at extremely high resolutions for a short time, so that we don’t need to parameterize as many physical processes — using machine learning to derive the equations that best approximate what is happening at small scales,” she explains. “Then we can use those equations in a coarser model that we can run for hundreds of years.”

While a full climate model based solely on machine learning may remain out of reach, the team found that ML is advancing our ability to accurately predict weather systems and some climate phenomena like El Niño.

Previously, weather prediction was based on knowing the starting conditions — like temperature, humidity, and barometric pressure — and running a model based on physics equations to predict what might happen next. Now, machine learning is giving researchers the opportunity to learn from the past. “We can use information on what has happened when there were similar starting conditions in previous situations to predict the future without solving the underlying governing equations,” Bracco says. “And all while using orders-of-magnitude less computing resources.”

The human connection

Bracco emphasizes that while AI and ML play a critical role in accelerating research, humans are at the core of progress. “I think the in-person collaboration that led to this paper is, in itself, a testament to the importance of human interaction,” she says, recalling that the research was the result of a workshop organized at the Kavli Institute for Theoretical Physics — one of the team’s first in-person discussions after the Covid-19 pandemic.

“Machine learning is a fantastic tool — but it's not the solution to everything,” she adds. “There is also a real need for human researchers collecting high-quality data, and for interdisciplinary collaboration across fields. I see this as a big challenge, but a great opportunity for computer scientists and physicists, mathematicians, biologists, and chemists to work together.”

Funding: National Science Foundation, European Research Council, Office of Naval Research, US Department of Energy, European Space Agency, Choose France Chair in AI.

DOI: https://doi.org/10.1038/s42254-024-00776-3

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Written by Selena Langner

Georgia Tech Faculty Members Earn Presidential Awards

Jan 16, 2025 — Atlanta, GA

Juan-Pablo Correa-Baena and Josiah Hester

Two Georgia Tech professors have earned the Presidential Early Career Award for Scientists and Engineers, the highest honor bestowed by the U.S. government on early-career engineers and scientists.

Juan-Pablo Correa-Baena, associate professor and Goizueta Early Career Faculty Chair in the School of Materials Science and Engineering, and Josiah Hester, associate professor in the School of Interactive Computing, are among this year's nearly 400 honorees.  

Correa-Baena is recognized for his solar cell and semiconductor research with the U.S. Department of Energy. His research group focuses on understanding the relationship between chemistry, crystallographic structure, and properties of new, low-cost semiconducting materials used for optical and electronic applications. His team also works on advanced techniques for characterizing these very small materials and their interactions.

“I wanted to research something that would benefit society while also using chemistry, physics, and involved materials discovery to inform that. That is why I work on solar cells — because this area of research is so important,” said Correa-Baena. 

Correa-Baena leads a solar energy materials research initiative for Georgia Tech’s Institute for Matter and Systems and the Strategic Energy Institute. He also has a secondary appointment in the School of Chemistry and Biochemistry. 

“My career goal has always been to execute high-quality research,” he said. “Receiving this award is a testament to the work our lab is doing, my student and faculty collaborators at Georgia Tech, and simply being in the right place at the right time.”

Biden Administration Names Interactive Computing Researcher as PECASE Recipient

Jan 16, 2025 —

A researcher in Georgia Tech’s School of Interactive Computing has received the nation’s highest honor given to early career scientists and engineers.

Associate Professor Josiah Hester was one of 400 people awarded the Presidential Early Career Award for Scientists and Engineers (PECASE), the Biden Administration announced in a press release on Tuesday.

The PECASE winners’ research projects are funded by government organizations, including the National Science Foundation (NSF), the National Institutes of Health (NIH), the Centers for Disease Control and Prevention (CDC), and NASA. They will be invited to visit the White House later this year.

Hester joins Associate Professor Juan-Pablo Correa-Baena from the School of Materials Science and Engineering as the two Tech faculty who received the honor.

Hester said his nomination was based on the NSF Faculty Early Career Development Program (CAREER) award he received in 2022 as an assistant professor at Northwestern University. He said the NSF submits its nominations to the White House for the PECASE awards, but researchers are not informed until the list of winners is announced.

Last year, Hester co-authored an article published in the Association of Computing Machinery’s in-house journal, the Communications of the ACM, in which he coined the term “Internet of Battery-less Things.”

The Internet of Things is the network of physical computing devices capable of connecting to the internet and exchanging data. However, these devices eventually die. Landfills are overflowing with billions of them and their toxic power cells, harming our ecosystem.

In his CAREER award, Hester outlined projects that would work toward replacing the most used computing devices with sustainable, battery-free alternatives.

“I want everything to be an Internet of Batteryless Things — computational devices that could last forever,” Hester said. “I outlined a bunch of different ways that you could do that from the computer engineering side and a little bit from the human-computer interaction side. They all had a unifying theme of making computing more sustainable and climate-friendly.”

Hester is also a Sloan Research Fellow, an honor he received in 2022. In 2021, Popular Sciene named him to its Brilliant 10 list. He also received the Most Promising Engineer or Scientist Award from the American Indian Science Engineering Society, which recognizes significant contributions from the indigenous peoples of North America and the Pacific Islands in STEM disciplines.

President Bill Clinton established PECASE in 1996. The White House press release recognizes exceptional scientists and engineers who demonstrate leadership early in their careers and present innovative and far-reaching developments in science and technology.

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NATHAN DEEN

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SCHOOL OF INTERACTIVE COMPUTING

The Year in Photos

Read more about The Year in Photos

From the physics of knitting to highlighting how batteries work, Georgia Tech photographers captured the impact and breadth of the Institute’s research enterprise.

Why Does a Rocket Have to go 25,000 mph to Escape Earth?

Jan 14, 2025 —

A SpaceX Falcon 9 rocket with its Crew Dragon capsule launches from Cape Canaveral, Fla., in January 2024. Chandan Khanna/AFP via Getty Images

Why does a rocket have to go 25,000 mph (about 40,000 kilometers per hour) to escape Earth? – Bo H., age 10, Durham, New Hampshire

There’s a reason why a rocket has to go so fast to escape Earth. It’s about gravity – something all of us experience every moment of every day.

Gravity is the force that pulls you toward the ground. And that’s a good thing. Gravity keeps you on Earth; otherwise, you would float away into space.

But gravity also makes it difficult to leave Earth if you’re a rocket heading for space. Escaping our planet’s gravitational pull is hard – not only is gravity strong, but it also extends far away from Earth.

Like a balloon

As a rocket scientist, one of the things I do is teach students how rockets overcome gravity. Here’s how it works:

Essentially, the rocket has to make thrust – that is, create force – by burning propellant to make hot gases. Then it shoots those hot gases out of a nozzle. It’s sort of like blowing up a balloon, letting go of it and watching it fly away as the air rushes out.

A bird's eye view of a rocket blasting off. — On July 16, 1969, a Saturn V rocket sent Apollo 11 and three American astronauts on their way to the Moon. Heritage Images/Hulton Archive via Getty Images

More specifically, the rocket propellant consists of both fuel and oxidizer. The fuel is typically something flammable, usually hydrogen, methane or kerosene. The oxidizer is usually liquid oxygen, which reacts with the fuel and allows it to burn.

When going into space and escaping from Earth, rockets need lots of force, so they consume propellant very quickly. That’s a problem, because the rocket can’t carry enough propellant to keep thrusting forever; the amount of propellant needed would make the rocket too heavy to get off the ground.

So what happens when the propellant runs out? The thrust stops, and gravity slows the rocket down until it gradually begins to fall back to Earth.

A diagram that shows a satellite orbiting the Earth. — A rocket provides the spacecraft with a sideways push (right arrow), gravity pulls it toward Earth (down arrow), and the resulting motion (red arrow) puts the spacecraft into orbit (yellow path). ESA/ L. Boldt-Christmas

Fortunately, scientists can launch the rocket with some sideways momentum so that it misses the Earth when it returns. They can even do this so it continuously falls around the Earth forever. In other words, it goes into orbit, and begins to circle the planet.

Many launches intentionally don’t completely leave Earth behind. Thousands of satellites are orbiting our planet right now, and they help phones and TVs work, display weather patterns for meteorologists, and even let you use a credit card to pay for things at the store or gas at the pump. You can sometimes see these satellites in the night sky, including the International Space Station.

An Atlas V rocket took NASA’s Perseverance rover to Mars.

Escaping Earth

But suppose the goal is to let the rocket escape from Earth’s gravity forever so it can fly off into the depths of space. That’s when scientists do a neat trick called staging. They launch with a big rocket, and then, once in space, discard it to use a smaller rocket. That way, the journey can continue without the weight of the bigger rocket, and less propellant is needed.

Against a blue sky, a rocket shoots off into space. — The launch of a SpaceX Falcon 9 rocket from Cape Canaveral, Fla., in May 2024. The rocket carried 23 Starlink satellites into low Earth orbit. Joe Raedle via Getty Images

But even staging is not enough; eventually the rocket will run out of propellant. But if the rocket goes fast enough, it can run out of propellant and still continue to coast away from Earth forever, without gravity pulling it back. It’s like riding a bike: build up enough speed and eventually you can coast up a hill without pedaling.

And just like there’s a minimum speed required to coast the bike, there’s a minimum speed a rocket needs to coast away into space: 25,020 mph (about 40,000 kilometers per hour).

Scientists call that speed the escape velocity. A rocket needs to go that fast so that the momentum propelling it away from Earth is stronger than the force of gravity pulling it back. Any slower, and you’ll go into an orbit of Earth.

Escaping Jupiter

Bigger, or more massive, objects have stronger gravitational pull. A rocket launching from a planet bigger than Earth would need to achieve a higher escape speed.

For example, Jupiter is the most massive planet in our solar system. It’s so big, it could swallow 1,000 Earths. So it requires a very high escape speed: 133,100 mph (about 214,000 kilometers per hour), more than five times the escape speed of Earth.

But the extreme example is a black hole, an object so massive that its escape speed is extraordinarily high. So high, in fact, that even light – which has a speed of about 670 million mph (over a billion kilometers per hour) – is not fast enough to escape. That’s why it’s called a black hole.

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

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Author:

Benjamin L. Emerson, Principal Research Engineer, Daniel Guggenheim School of Aerospace Engineering, Georgia Institute of Technology

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Shelley Wunder-Smith
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New Biosensors Could Revolutionize Cancer Detection

Jan 13, 2025 —

Anirudh Sivakumar (right) and Gabe Kwong led development of new gene-free biosensors for cancer detection.

Georgia Tech researchers have developed biosensors with advanced sleuthing skills and the technology may revolutionize cancer detection and monitoring.

The tiny detectives can identify key biological markers using logical reasoning inspired by the “AND” function in computers — like, when you need your username and password to log in. And unlike traditional biosensors comprised of genetic materials — cells, bits of DNA — these are made of manufactured molecules.

These new biosensors are more precise and simpler to manufacture, reducing the number of false positives and making them more practical for clinical use. And because the sensors are cell-free, there’s a reduced risk for immunogenic side effects.

“We think the accuracy and simplicity of our biosensors will lead to accessible, personalized, and effective treatments, ultimately saving lives,” said Gabe Kwong, associate professor and Robert A. Milton Endowed Chair in the Wallace H. Coulter Department of Biomedical Engineering, who led the study, published this month in Nature Nanotechnology.

Breaking With Tradition

The researchers set out to address the limitations in current biosensors for cancer, like the ones designed for CAR-T cells to allow them to recognize tumor cells. These advanced biosensors are made of genetic material, and there is growing interest to reduce the potential for off-target toxicity by using Boolean “AND-gate” computer logic. That means they’re designed to release a signal only when two specific conditions are met.

“Traditionally, these biosensors involve genetic engineering using cell-based systems, which is a complex, time-consuming, and expensive process,” said Kwong.

So, his team developed biosensors made of iron oxide nanoparticles and special molecules called cyclic peptides. Synthesizing nanomaterials and peptides is a simpler, less costly process than genetic engineering, according to Kwong, “which means we can likely achieve large-scale, economical production of high-precision biosensors.”

Unlocking the AND-gate

Biosensors detect cancer signals and track treatment progress by turning biological signals into readable outputs for doctors. With AND-gate logic, two distinct inputs are required for an output.

Accordingly, the researchers engineered cyclic peptides — small amino acid chains — to respond only when they encounter two specific types of enzymes, proteases called granzyme B (secreted by the immune system) and matrix metalloproteinase (from cancer cells). The peptides generate a signal when both proteases are present and active.

Think of a high-security lock that needs two unique keys to open. In this scenario, the peptides are the lock, activating the sensor signal only when cancer is present and being confronted by the immune system.

“Our peptides allow for greater accuracy in detecting cancer activity,” said the study’s lead author, Anirudh Sivakumar, a postdoctoral researcher in Kwong’s Laboratory for Synthetic Immunity. “It’s very specific, which is important for knowing when immune cells are targeting and killing tumor cells.”

Super Specific

In animal studies, the biosensors successfully distinguished between tumors that responded to a common cancer treatment called immune checkpoint blockade therapy — ICBT, which enhances the immune system — from tumors that resisted treatment.

During these tests, the sensors also demonstrated their ability to avoid false signals from other, unrelated health issues, such as when the immune system confronted a flu infection in the lungs, away from the tumor.

“This level of specificity can be game changing,” Kwong said. “Imagine being able to identify which patients are responding to the therapy early in their treatment. That would save time and improve patient outcomes.”

The first step toward this simpler, precise form of cancer diagnostics began with an ambitious but humble ($50,000) seed grant from the Petit Institute for Bioengineering and Bioscience five years ago for a collaboration between Kwong’s lab and the lab of M.G. Finn, professor and chair in the School of Chemistry and Biochemistry.

It evolved into a multi-institutional project supported by grants from the National Science Foundation and National Institutes of Health that included researchers from the University of California-Riverside, as well as Georgia Tech faculty researchers Finn and Peng Qiu, associate professor in the Coulter Department.

“The progression of the research, from an initial seed grant all the way to animal studies, was very smooth,” Kwong said. “Ultimately, a collaborative, multidisciplinary effort turned our early vision into something that could have a great impact in healthcare.”

Citation: Anirudh Sivakumar, Hathaichanok Phuengkham, Hitha Rajesh, Quoc D. Mac, Leonard C. Rogers, Aaron D. Silva Trenkle, Swapnil Subhash Bawage, Robert Hincapie, Zhonghan Li, Sofia Vainikos, Inho Lee, Min Xue, Peng Qiu, M. G. Finn, Gabriel A. Kwong. “AND-gated protease-activated nanosensors for programmable detection of anti-tumour immunity.” Nature Nanotechnology (January 2025). https://doi.org/10.1038/s41565-024-01834-8

Funding: This research was supported in part by National Institutes of Health (NIH) grants 5U01CA265711, 5R01CA237210, 1DP2HD091793, and 5DP1CA280832.

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Jerry Grillo

Finalists Chosen in Georgia Tech’s Executive Vice President for Research Search

Jan 07, 2025 —

Historical sign depicting information about Tech Tower

Georgia Tech’s Executive Vice President for Research (EVPR) search committee has selected three finalists. Each candidate will visit campus and present a seminar sharing their broad vision for the Institute's research enterprise.

The seminars are open to all faculty, students, and staff across the campus community. Interested individuals can attend in person or register to participate via Zoom (pre-registration is required).

All seminars will take place at 11 a.m. on the following dates:

Candidate 1: Monday, January 13, Scholars Event Theater, Price Gilbert 1280 (register for webinar)

Candidate 2: RESCHEDULED to Wednesday, January 29, Scholars Event Theater, Price Gilbert 1280 (register for webinar)

Candidate 3: Monday, January 27, Scholars Event Theater, Price Gilbert 1280 (register for webinar)

Each candidate’s bio and curriculum vitae, along with further details, will be accessible through the EVPR search site 48 hours prior to each visit. Georgia Tech credentials are required to access all materials. Information is being made available in this manner to protect the confidentiality of the finalists. Following each candidate’s visit, the campus community is invited to share their comments via a survey that will be posted on the candidate’s webpage.

The search committee is chaired by Susan Lozier, dean of the College of Sciences. Search committee members include a mix of faculty and staff representing colleges and units across campus. Georgia Tech has retained the services of the executive search firm WittKieffer for the search.

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Shelley Wunder-Smith | shelley.wunder-smith@research.gatech.edu
Director of Research Communications

GT Manufacturing Institute Hosts 10th Internet of Things for Manufacturing Symposium

Jan 06, 2025 —

Andrew Dugenske, a principal research engineer at GTMI and symposium organizer, delivering a talk at the symposium's tenth annual gathering.

In the rapidly evolving world of manufacturing, embracing digital connectivity and artificial intelligence is crucial for optimizing operations, improving efficiency, and driving innovation. Internet of Things (IoT) is a key pillar of that process, enabling seamless communication and data exchange across the manufacturing process by connecting sensors, equipment, and applications through internet protocols.

The Georgia Tech Manufacturing Institute (GTMI) recently hosted the 10th annual Internet of Things for Manufacturing (IoTfM) Symposium, a flagship event that continues to set the standard for innovation and collaboration in the manufacturing sector. Held on Nov. 13, the symposium brought together industry leaders, researchers, and practitioners to explore the latest advancements and applications of IoT in manufacturing.

"The purpose is to bring the voice of manufacturers directly to the university community," explained Andrew Dugenske, a principal research engineer and director of the Factory Information Systems Center at GTMI. "It's about learning from industry to guide our research, education, and knowledge base, which is inherent to Georgia Tech."

Initiated over a decade ago, the IoTfM Symposium has grown into a premier event that highlights Georgia Tech's commitment to advancing manufacturing technologies.

"This symposium provides a unique platform to share and learn from cutting-edge advancements in IoT and now AI for manufacturing,” said Dago Mata, regional director of business development at Tata Consultancy Services (TCS) and one of the event’s speakers. “The opportunity to engage with industry leaders and showcase practical, real-world implementations was highly motivating."

This year’s symposium welcomed over 100 attendees from across the country. Speakers from TCS, Amazon Web Services, Southwire, and more shared insights on the latest advancements, use cases, current challenges, and future directions for IoT in manufacturing processes.

“My favorite aspect was the case studies presented by major manufacturers, highlighting successful IoT and AI implementations," said Mata, who has attended the symposium since 2018. "These provided actionable takeaways and inspiration for driving similar innovation in my projects — the blend of exclusive learning from real-world applications and the presence of diverse experts made it a truly practical and inspiring event."

A distinctive feature of the IoTfM Symposium is its commitment to providing a platform for industry partners to voice their perspectives on powerful manufacturing research, says Dugenske. "We ask our industry partners to tell us about their experiences, challenges, and future predictions. This way, we can guide our research with the real-world needs of the manufacturing sector to form stronger collaborations and better prepare our students."

This unique format not only enhances the relevance of the symposium but also fosters a collaborative environment where industry leaders can learn from each other and from Georgia Tech's academic community.

As GTMI looks to the future, the symposium will continue to evolve, incorporating new elements and expanding its reach. Dugenske envisions even greater integration with other GTMI initiatives and broader industry engagement.

"Our goal is to create an event that highlights our capabilities and builds deeper connections within the manufacturing community.”

Dago Mata, regional director of business development at Tata Consultancy Services (TCS) and one of the event’s speakers.

The event was held in the Callaway Research Building on November 13, 2024.

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Audra Davidson
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Georgia Tech Manufacturing Institute

David Sherrill to Serve as Interim Director of the Institute for Data Engineering and Science

Jan 06, 2025 —

David Sherrill, professor in the School of Chemistry and Biochemistry and School of Computational Science and Engineering; associate director of the Georgia Tech Institute for Data Engineering and Science.

Effective January 1st, David Sherrill will serve as interim executive director of the Georgia Tech Institute for Data Engineering and Science (IDEaS). Sherrill is a Regents' Professor in the School of Chemistry and Biochemistry with a joint appointment in the College of Computing. Sherrill has served as associate director for IDEaS since its founding in 2016.

"David Sherrill's leadership role in IDEaS as associate director, together with his interdisciplinary background in chemistry and computer science, makes him the right person to support this transition as interim executive director," said Julia Kubanek, professor and vice president for interdisciplinary research at Georgia Tech.

Sherrill succeeds Srinivas Aluru who will be taking a new position as Senior Associate Dean in the College of Computing. Aluru, a Regents' Professor in the School of Computational Science and Engineering, co-founded IDEaS and served as its co-executive director (2016-2019) and then as executive director (2019-date), spanning eight and a half years. Under his leadership IDEaS grew to more than 200 affiliate faculty spanning all colleges, encompassing multiple state, federal, and industry funded centers. Notable among these is the South Big Data Hub, catalyzing the Southern data science community to collectively accelerate scientific discovery and innovation, spur economic development in the region, broaden participation and diversity in data science, and the CloudHub, a Microsoft funded center that provides research funding and cloud resources for innovative applications in Generative Artificial Intelligence. More recently, Aluru established the Center for Artificial Intelligence in Science and Engineering (ARTISAN), and expanded the Institute’s research staff to provide needed cyberinfrastructure, software resources, and expertise to support faculty projects with large data sets and AI-driven discovery. "I've had the pleasure of serving as Associate Director of IDEaS since it was founded by Srinivas Aluru and Dana Randall, and I'm excited to step into this interim role.” said Sherrill. “IDEaS has an important mission to serve the many faculty doing interdisciplinary research involving data science and high performance computing."

Sherrill’s research group focuses on the development of ab initio electronic structure theory and its application to problems of broad chemical interest, including the influence of non-covalent interactions in drug binding, biomolecular structure, organic crystals, and organocatalytic transition states. The group seeks to apply the most accurate quantum models possible for a given problem and specializes in generating high-quality datasets for testing new methods or machine-learning purposes.

Sherrill earned a B.S. in chemistry from MIT in 1992 and a Ph.D. in chemistry from the University of Georgia in 1996. From 1996-1999 Sherril was an NSF Postdoctoral Fellow, working under M. Head-Gordon, at the University of California, Berkeley.

Sherrill is a Fellow of the American Association for the Advancement of Science (AAAS), the American Chemical Society, and the American Physical Society, and he has been Associate Editor of the Journal of Chemical Physics since 2009. Sherrill has received a Camille and Henry Dreyfus New Faculty Award, the International Journal of Quantum Chemistry Young Investigator Award, an NSF CAREER Award, and Georgia Tech's W. Howard Ector Outstanding Teacher Award. In 2023, he received the Herty Medal from the Georgia Section of the American Chemical Society, and in 2024, he was elected to the International Academy of Quantum Molecular Science.

--Christa M. Ernst

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Christa M. Ernst [christa.ernst@research.gatech.edu],

Research Communications Program Manager,

Topic Expertise: Robotics | Data Sciences| Semiconductor Design & Fab

Gregory Sawicki to Serve as Interim Director of the Institute for Robotics and Intelligent Machines

Jan 06, 2025 —

Gregory Sawicki to Serve as Interim Director of the Institute for Robotics and Intelligent Machines

Effective January 1st, Gregory Sawicki will serve as interim executive director of the Georgia Tech Institute for Robotics and Intelligent Machines (IRIM). Sawicki is a professor and the Joseph Anderer Faculty Fellow in the George W. Woodruff School of Mechanical Engineering with a joint appointment in the School of Biological Sciences.

“Professor Greg Sawicki will make a great interim executive director of IRIM. He brings experience with robotics and collaborative research to this role,” said Julia Kubanek, professor and vice president for interdisciplinary research at Georgia Tech. “He'll be a strong partner to faculty, students, and the EVPR team as we explore the future of IRIM and robotics over the next several months."

Sawicki succeeds Seth Hutchinson who will be taking a new position at Northeastern University in Boston. Hutchinson, professor and KUKA Chair for Robotics in Georgia Tech’s College of Computing, has served as executive director of IRIM for five years. During Hutchinson’s tenure as executive director, IRIM expanded its industry outreach activities, developed more consistent communications, and grew its faculty pool at Georgia Tech to include a diverse cohort from across the Colleges of Engineering and Computing and the Georgia Tech Research Institute.

"I am extremely excited to step into this leadership role for IRIM, maintain our research excellence in the foundational areas of robotics, and proactively leverage opportunities to grow across campus and beyond in novel, creative interdisciplinary directions,” said Sawicki. “This will involve new initiatives to incentivize connections with GTRI and other IRI's on campus, to build new industry partnerships, and continue to strengthen the M.S./Ph.D. program in Robotics by engaging with Schools beyond those with a traditional footprint in robotics education and research.”

Sawicki directs the Human Physiology of Wearable Robotics (PoWeR) Lab where he and his group seek to discover physiological principles underpinning locomotion performance and apply them to develop lower-limb robotic devices capable of improving both healthy and impaired human locomotion. By focusing on the human side of the human-machine interface, his team has begun to create a roadmap for the design of lower-limb robotic exoskeletons that are truly symbiotic – that is, wearable devices that work seamlessly in concert with the underlying physiological systems to facilitate the emergence of augmented human locomotion performance.

Sawicki earned a B.S. in mechanical and aerospace engineering from Cornell University in 1999, an M.S. in mechanical and aeronautical engineering from the University of California - Davis in 2001, and a Ph.D. in neuromechanics at the University of Michigan-Ann Arbor in 2007. Sawicki completed his postdoctoral studies in integrative biology at Brown University in 2009.

Sawicki has been recognized for his interdisciplinary research and teaching, recently receiving a $2.6 million Research Project Grant from the National Institutes of Health (NIH) to study optimization and artificial intelligence to personalize exoskeleton assistance for individuals with symptoms resulting from stroke. * Sawicki was also selected as a 2021 George W. Woodruff School Academic Leadership Fellow, and the 2022 College of Sciences Student Recognition of Excellence in Teaching and the 2023 American Society of Biomechanics Founders’ Award for excellence in research and mentoring. Sawicki has also been featured as an expert voice on exoskeletons and human neuromechanics in numerous print and television news releases.

--Christa M. Ernst

*Joint Award with Aaron Young, Assistant Professor in the Woodruff School of Mechanical Engineering

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Christa M. Ernst [christa.ernst@research.gatech.edu],

Research Communications Program Manager,

Topic Expertise: Robotics | Data Sciences| Semiconductor Design & Fab

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