In a group of papers released May 1 in the journal Nature, scientists are one step closer to a whole-body map of the body’s cellular responses to endurance exercise — identifying striking “all tissue effects” of training, even in tissues from organs not normally associated with movement.

The findings are the latest product of the Molecular Transducers of Physical Activity Consortium (MoTrPAC), a ten-year effort launched in 2016 by the National Institutes of Health (NIH) to uncover how exercise improves and maintains our health at the molecular level.

Georgia Institute of Technology bioanalytical chemist Facundo Fernández and Emory University biochemist Eric Ortlund lead one of the Consortium’s Chemical Analysis Sites, joining researchers across the country to collect and translate data from animals and more than 2,000 volunteers into comprehensive maps of the cellular changes throughout the body in response to exercise.

The $226 million MoTrPAC NIH Common Fund investment also hopes to help people with chronic illnesses identify specific physical activities to improve individual health, and to potentially unearth therapeutic targets — medicines that might mimic the positive effects of exercise.

MoTrPAC’s latest group of papers details data from studies in rats, uncovering how endurance exercise affects biological molecules and “all tissues of the body,” as well as tissues and gene expression, along with striking tissue differences between male and female organisms.

Read more:

• Nature | Why is exercise good for you? Scientists are finding answers in our cells
• NIH | Endurance exercise affects all tissues of the body, even those not normally associated with movement
• DOI | “Temporal dynamics of the multi-omic response to endurance exercise training”

 

Facundo M. Fernandez, is Regents’ Professor and Vasser Woolley Foundation Chair in Bioanalytical Chemistry at Georgia Tech. He also serves as associate editor of the Journal of the American Society for Mass Spectrometry (JASMS).

Eric Ortlund is a professor in the Department of Biochemistry at Emory University and a member of the Discovery and Developmental Therapeutics Research Program at Winship Cancer Institute.

Study co-authors from Georgia Tech also include David A. Gaul (School of Chemistry and Biochemistry, along with Samuel G. Moore (Petit Institute of Bioengineering and Biosciences). Emory University co-authors also include Tiantian Zhang and Zhenxin Hou (Department of Biochemistry).

 

Funding: The MoTrPAC Study is supported by multiple NIH grants and institutes, as well as the National Science Foundation (NSF), the Knut and Alice Wallenberg Foundation, and NORC at the University of Chicago.

NIH grants include: U24OD026629 (Bioinformatics Center), U24DK112349, U24DK112342, U24DK112340, U24DK112341, U24DK112326, U24DK112331, U24DK112348 (Chemical Analysis Sites), U01AR071133, U01AR071130, U01AR071124, U01AR071128, U01AR071150, U01AR071160, U01AR071158 (Clinical Centers), U24AR071113 (Consortium Coordinating Center), U01AG055133, U01AG055137 and U01AG055135 (PASS/Animal Sites); as well as NHGRI Institutional Training Grant in Genome Science 5T32HG000044; National Heart, Lung, and Blood Institute of the National Institute of Health F32 postdoctoral fellowship award F32HL154711; National Institute on Aging P30AG044271 and P30AG003319.

 

Two children are playing with a set of toys, each playing alone. That kind of play involves a somewhat limited set of interactions between the child and the toy. But what happens when the two children play together using the same toys?

“The actions are similar, but the choices and outcomes are very different because of the dynamic changes they’re making with the other person,” says Brian Magerko, Regents’ Professor in Georgia Tech’s School of Literature, Media, and Communication. “It’s a thing that humans do all the time, and computers don’t do with us at all.”

Welcome to the next frontier of artificial intelligence (AI) — not just generating but collaborating in real-time.

Magerko and his colleagues, Georgia Tech research scientist Milka Trajkova and Kennesaw State University Associate Professor of Dance Andrea Knowlton, are putting a collaborative AI system they’ve developed to the ultimate test: the world’s first collaborative AI dance performance.

Dance Partner

LuminAI is an interactive system that allows participants to engage in collaborative movement improvisation with an AI virtual dance partner projected on a nearby screen or wall. LuminAI analyzes participant movements and improvises responses informed by memories of past interactions with people. In other words, LuminAI learns how to dance by dancing with us.

The National Science Foundation-supported project began about 12 years ago in a lab and became an art installation and public demo. LuminAI has since moved into a different phase as a creative collaborator and education tool in a dance studio.

“We’re looking at the role LuminAI can play in dance education. As far as we’re aware, this is the first implemented version of an AI dancer in a dance studio,” says Trajkova, who was a professional ballet dancer before becoming a research scientist on the project.

To prepare LuminAI to collaborate with dancers, the research team started by studying pairs of improvisational dancers.

“We’re trying to understand how non-verbal, collaborative creativity occurs,” Knowlton says. “We start by trying to understand influencing factors that are perceived as contributing to improvisational success between two artists. Through that understanding, we applied those criteria to an AI system so it can have a similar experience with co-creative success.”

“We’re working on a creative arc,” adds Trajkova. “So instead of the AI agent just generating movements in response to the last thing that happened, we’re working to track and understand the dynamics of creative ideas across time as a continuous flow, rather than isolated instances of reaction.”

Students from Knowlton’s improvisational dance class at Kennesaw State spent two months of their spring semester working routinely with the LuminAI dancer and recording their impressions and experiences. One of the purposes the team discovered is that LuminAI serves as a third view for dancers and allows them to try ideas out with the system before trying it out with a partner.

The classroom experiment will culminate in a public performance on May 3 at Kennesaw State’s Marietta Dance Theater featuring the students performing with the LuminAI dancer. As far as the research team is aware the event is the world’s first collaborative AI dance performance.

While not all the dancers embraced having an AI collaborator, some of those who were skeptical at first left the experience more open to the possibility of collaborating with AI, Knowlton says. Regardless of their feelings toward working with AI, Knowlton says she believes the dancers gained valuable skills in working with specialized technology, especially as dance performances evolve to include more interactive media.

Refined Movement

So, what’s next for LuminAI? The project represents at least two possible paths for its learnings. The first includes continued exploration about how AI systems can be taught to cooperate and collaborate more like humans.

“With the advent of generative AI these past few years, it’s been really clear how great a need there is for this sort of social cognition,” says Magerko. “One of the things we’re going to be getting off the ground is sense-making with large language models. How do you collaborate with an AI system – rather than just making text or images, they’ll be able to make with us.”

The second involves the body movements LuminAI has been cataloging and analyzing over the years. Dance exemplifies highly refined motor skills, often exhibiting a level of detail surpassing that found in various athletic disciplines or physical therapy. While the tools designed to capture these intricate movements—through cameras and AI—are still nascent, the potential for harnessing this granular data is significant, Trajkova says.

That exploration begins on May 30 with a two-day summit being held at Georgia Tech to discuss its application for transforming performance athletics, with interdisciplinary participants in dance, computer vision, biomechanics, psychology, and human-computer interaction from Georgia Tech, Emory, KSU, Harvard, Royal Ballet in London, and Australian Ballet.

“It’s about understanding AI's role in augmenting training, promoting wellness as well as diving deep in decoding the artistry of human movements. How can we extract insights about the quality of athlete’s movements so we can help develop and enhance their own unique nuances?” Trajkova says.

When Amy Bonecutter-Leonard was a second-semester undergraduate at the Georgia Institute of Technology, she applied for a work-study job in the cleanroom at the Microelectronics Research Center (MiRC). There, she learned process techniques for making the same type of electronic chips used in cellphones.  

With this new knowledge, she could train and help other students with their research. At the time, Bonecutter-Leonard was a chemical engineering major with no plans to go into microelectronics. Working in the cleanroom changed that. 

“I fell in love with microelectronics through exposure to the research and development work performed in the cleanroom,” she said.  

What started as a student job led to her taking microelectronics classes — and eventually to a career in the field. “My work-study prepared me with hands-on technical skills I would have never learned from just being in a classroom,” she said. Now, Bonecutter-Leonard works as a microelectronics business chief engineer at defense contractor L3Harris Technologies.  

Her story is one of many from the Institute for Electronics and Nanotechnology (IEN, the successor to MiRC), which has been training students from kindergarten to graduate school to be leaders in the microelectronics and nanotechnology space. The goal of IEN’s outreach is to make nanotechnology and microelectronics — such as computer chips and sensors — as accessible as any other science. Ultimately, these efforts will build up the U.S. workforce in the field, ensuring the country remains at the forefront of the technology that powers Americans’ everyday lives. 
 

Building the Workforce 

Bolstering the number of workers in the microelectronics industry is imperative to keep the U.S. globally competitive. Right now, 40% of the industry's labor force is older than 50, with practitioners aging out of their careers at a pace new talent cannot match. Additionally, heavy educational barriers to entry, including required degrees and specialized training, prevent more people from pursuing careers in the field. Without dedicated efforts, the entire sector — and the nation — will fall behind.  

IEN is working to solve this pipeline problem.  

“With the national semiconductor workforce aging, it is important now more than ever that we educate the next generation to move into these jobs,” said Michael Filler, IEN’s interim executive director. “IEN is proud to support the semiconductor industry by providing students with the interdisciplinary skills and hands-on technical training essential for success in this fast-paced, global field.”  

Georgia Tech is uniquely positioned to lead this charge with its 28,500 square feet of academic cleanroom space, the largest in the Southeast and among the largest in the U.S. From micro-electro-mechanical systems to electronics fabrication, workers have 100 bays in which to conduct leading-edge research. These cleanrooms are also key teaching and training facilities. 

IEN invites anyone from around the world, whether affiliated with the Institute or not, to become a core user of the cleanroom facilities. The center also regularly hosts short courses for external partners — academic, industry, and government — in microfabrication and soft lithography for microfluidics. Over the past three years, more than 700 people went through new-user orientation, and 193 enrolled in the short courses. 

Teaching the Next Generation 

Making nanotechnology — of which microelectronics is an example — educationally accessible begins before college. Each semester, more than 800 K-12 students participate in IEN’s Introduction to Nanotechnology virtual lesson. Associate Director for Education and Outreach Mikkel Thomas begins his presentations by asking a simple question: What do you know about nanotechnology? 
 
“About 99% of the time, they say that’s what makes Ironman’s suit work,” said Thomas. “That means they’ve learned the wrong lesson — that nanotechnology is a futuristic tech and that you have to be as smart as Tony Stark to work in the field.  
 
“But most people interact with nanotechnology multiple times throughout their day, and they have no idea they're doing it.” 
 
Thomas also emphasizes there is a career path for everyone, even if they don’t plan to get a traditional four-year degree. Part of IEN’s workforce development initiative is to build up the entire pipeline from industry and research lab technicians at the certificate level to postdoctoral researchers. 
 
“It’s important for us to reach kids who don’t know what career options are available in nanotechnology,” Thomas said. “We want them to know that whatever they're interested in, there is a pathway for them.” 
 
Sixth- through eighth-grade students sparked by this conversation can attend Chip Camp, a three-day STEM summer camp sponsored by Micron. They begin with a day at IEN to learn about thin films, magic sands, ferrofluids, and measuring their height in nanometers. The rest of the camp features hands-on visits to the Materials Characterization Facility (MCF) and the IEN cleanroom, where they can try on the white “bunny suits” technicians wear in the lab. 
 
To further their reach, IEN’s workforce development team collaborates with teachers to bring nanotechnology into classrooms. During the summer, IEN offers the Research Experience for Teachers, a training program for public school and community college teachers to conduct nanotechnology research and learn how to incorporate it into their lessons. Middle school teachers have similar opportunities through the Nanoscience Summer Institute for Middle School Teachers.

Training the Workforce 

When these students get to a university like Georgia Tech, IEN hires them for work-study jobs like the one Bonecutter-Leonard had. The hands-on cleanroom training is also vital to graduate students pursuing advanced degrees. 
 
Katie Young earned her Ph.D. in materials science and engineering at Georgia Tech. Learning her way around the IEN cleanroom was essential for her graduate studies. 
 
“My dissertation research involved synthesizing two-dimensional materials — only a single atom thick — for permeation barriers,” she explained. “I often used the cleanroom’s vacuum systems to synthesize and process 2D materials.” Now a research scientist at the Georgia Tech Research Institute, Young still works in the cleanroom on semiconductor device fabrication, building prototype quantum and biological sensors. 
 
IEN opportunities are not limited to graduate research. Annually, about 150 Georgia Tech undergraduate students take microelectronics packaging and devices classes, with labs taught by IEN staff in the teaching cleanroom. These courses include Integrated Circuit Fabrication (ECE 4452), in which students learn to fabricate circuit elements, and the Science and Engineering of Microelectronic Fabrication (ChBE 4050/6050, open to graduate students as well), for students interested in semiconductor materials and fabrication. 

Students don’t need to enroll at Georgia Tech to benefit from training, courses, and other opportunities. IEN’s internship program provides technical college students with training to become microelectronics technicians, either through work in the Biocleanroom or in the MCF.

Empowering Future Innovators 

IEN also participates in the National Science Foundation Research Experiences for Undergraduates (REU), which provides opportunities for students from underrepresented groups or who attend schools without similar facilities. While enrolled at another university, John Mark Page was introduced to Georgia Tech’s cleanroom through an REU.  
 
“That was my first exposure to any facility of this kind, and it felt like I was looking at the future. Being in a facility that can fabricate devices at or near the atomic level — it was hard to fathom,” Page said. “I had never thought that participating in microelectronics and nanotechnology as a student, especially as an undergraduate, was something I could do.” 

As a result of his REU, Page transferred to Georgia Tech — he will graduate this summer with a bachelor’s degree in electrical engineering. He also completed a second REU at the University of North Carolina at Chapel Hill, worked as a student assistant in the IEN cleanroom, and participated in a Vertically Integrated Project (VIP), Chip Scale Power and Energy. 
 
“I was interested in the VIP because it allowed me to spend more time in the cleanroom, familiarizing myself with semiconductor fabrication methods and training on new fabrication equipment,” Page explained. His experiences inspired him to consider a future career in the semiconductor industry. 

“It wasn’t only the 10-week experience of the REU that made a lasting impact on me,” he said. “It was also the relationships formed with the people of IEN. The staff there are exceptional representatives of Georgia Tech, and they make IEN a tremendous asset to the future of microelectronics and nanotechnology in the U.S.” 

Biya Haile, an ECE Ph.D. student, had a similarly meaningful REU experience. Haile, whose research focuses on creating micro-electro-mechanical systems-based sensors (MEMS), described the REU as “immersive.” 

“The REU project enabled me to study chemical micro-sensor technologies, as well as state-of-the-art additive nano-manufacturing techniques, which has contributed to my research,” he said. “I feel lucky that my academic journey has entailed developing new technologies that use nanoscience to solve big problems.”  

While Haile is currently focused more on designing and testing rapid processes for fabricating MEMS-based devices, he still occasionally works in the cleanroom on fabrication. He plans to go into the microelectronics industry after graduating. 

The Path Ahead 

All of IEN’s training and educational offerings align with IEN’s mission to bolster and diversify the microelectronics workforce, according to George White, senior director of strategic partnerships for the Georgia Tech research enterprise. “IEN has been at the forefront of the CHIPS infrastructure buildout, particularly in the area of education and workforce development,” he noted.   

IEN’s efforts impact not just Atlanta but the entire country. Georgia Tech’s leadership in microelectronics research trains the innovators and practitioners of the future everywhere and ensures that America stays at the forefront of leading-edge technology. As demand increases for microelectronics, IEN is moving to meet it. 

Effective July 1, 2024, the Institute for Electronics and Nanotechnology and the Institute for Materials will evolve into the Institute for Matter and Systems (IMS). This strategic union aims to foster convergent research at Georgia Tech, focusing on the science, technology, and societal underpinnings of cutting-edge materials and devices. Eric Vogel will be the director of IMS, and Michael Filler will be the deputy director. 

Quantum sensors detect the smallest of environmental changes — for example, an atom reacting to a magnetic field. As these sensors “read” the unique behaviors of subatomic particles, they also dramatically improve scientists’ ability to measure and detect changes in our wider environment.

Monitoring these tiny changes results in a wide range of applications — from improving navigation and natural disaster forecasting, to smarter medical imaging and detection of biomarkers of disease, gravitational wave detection, and even better quantum communication for secure data sharing.

Georgia Tech physicists are pioneering new quantum sensing platforms to aid in these efforts. The research team’s latest study, “Sensing Spin Wave Excitations by Spin Defects in Few-Layer Thick Hexagonal Boron Nitride” was published in Science Advances this week. 

The research team includes School of Physics Assistant Professors Chunhui (Rita) Du and Hailong Wang (corresponding authors) alongside fellow Georgia Tech researchers Jingcheng Zhou, Mengqi Huang, Faris Al-matouq, Jiu Chang, Dziga Djugba, and Professor Zhigang Jiang and their collaborators. 

An ultra-sensitive platform

The new research investigates quantum sensing by leveraging color centers — small defects within crystals (Du’s team uses diamonds and other 2D layered materials) that allow light to be absorbed and emitted, which also give the crystal unique electronic properties. 

By embedding these color centers into a material called hexagonal boron nitride (hBN), the team hoped to create an extremely sensitive quantum sensor — a new resource for developing next-generation, transformative sensing devices. 

For its part, hBN is particularly attractive for quantum sensing and computing because it could contain defects that can be manipulated with light — also known as "optically active spin qubits."

The quantum spin defects in hBN are also very magnetically sensitive, and allow scientists to “see” or “sense” in more detail than other conventional techniques. In addition, the sheet-like structure of hBN is compatible with ultra-sensitive tools like nanodevices, making it a particularly intriguing resource for investigation.

The team’s research has resulted in a critical breakthrough in sensing spin waves, Du says, explaining that “in this study, we were able to detect spin excitations that were simply unattainable in previous studies.” 

Detecting spin waves is a fundamental component of quantum sensing, because these phenomena can travel for long distances, making them an ideal candidate for energy-efficient information control, communication, and processing.

The future of quantum

“For the first time, we experimentally demonstrated two-dimensional van der Waals quantum sensing — using few-layer thick hBN in a real-world environment,” Du explains, underscoring the potential the material holds for precise quantum sensing. “Further research could make it possible to sense electromagnetic features at the atomic scale using color centers in thin layers of hBN.”

Du also emphasizes the collaborative nature of the research, highlighting the diverse skill sets and resources of researchers within Georgia Tech. 

“Within the School of Physics, Professor Zhigang Jiang's research group provided the team with high-quality hBN crystals. Jingcheng Zhou, who is a member of both Professor Hailong Wang’s and my research teams, performed the cutting-edge quantum sensing measurements,” she says. “Many incredible students also helped with this project.”

Du is a leading scientist in the field of quantum sensing — this year, she received a new grant from the U.S. Department of Energy, along with a Sloan Research Fellowship for her pioneering work on developing state-of-the-art quantum sensing techniques for quantum information technology applications. The prestigious Sloan award recognizes researchers whose “creativity, innovation, and research accomplishments make them stand out as the next-generation of leaders in the fields.” 

 

 

DOI: 10.1126/sciadv.adk8495

This work is supported by the U. S. National Science Foundation (NSF) under award No. DMR-2342569, the Air Force Office of Scientific Research under award No. FA9550-20-1-0319 and its Young Investigator Program under award No. FA9550-21-1-0125, the Office of Naval Research (ONR) under grant No. N00014-23-1-2146, NASA-REVEALS SSERVI (CAN No. NNA17BF68A), and NASA-CLEVER SSERVI (CAN No. 80NSSC23M0229).

 

To avoid catastrophic climate impacts, excessive carbon emissions must be addressed. At this point, cutting emissions isn’t enough. Direct air capture, a technology that pulls carbon dioxide out of ambient air, has great potential to help solve the problem.

But there’s a big challenge. For direct air capture technology, every type of environment and location requires a uniquely specific design. A direct air capture configuration in Texas, for example, would necessarily be different from one in Iceland. These systems must be designed with exact parameters for humidity, temperature, and air flows for each place.

Now, Georgia Tech and Meta have collaborated to produce a massive database, potentially making it easier and faster to design and implement direct air capture technologies. The open-source database enabled the team to train an AI model that is orders of magnitude faster than existing chemistry simulations. The project, named OpenDAC, could accelerate climate solutions the planet desperately needs.

The team’s research was published in ACS Central Science, a journal of the American Chemical Society.

“For direct air capture, there are many ideas about how best to take advantage of the air flows and temperature swings of a given environment,” said Andrew J. Medford, associate professor in the School of Chemical and Biomolecular Engineering (ChBE) and a lead author of the paper. “But a major problem is finding a material that can capture carbon efficiently under each environment’s specific conditions.”

Their idea was to “create a database and a set of tools to help engineers broadly, who need to find the right material that can work,” Medford said. “We wanted to use computing to take them from not knowing where to start to giving them a robust list of materials to synthesize and try.”

Containing reaction data for 8,400 different materials and powered by nearly 40 million quantum mechanics calculations, the team believes it’s the largest and most robust dataset of its kind.

Building a Partnership (and a Database)

Researchers with Meta’s Fundamental AI Research (FAIR) team were looking for ways to harness their machine learning prowess to address climate change. They landed on direct air capture as a promising technology and needed to find a partner with expertise in materials chemistry as it relates to carbon capture. They went straight to Georgia Tech.

David Sholl, ChBE professor, Cecile L. and David I.J. Wang Faculty Fellow, and director of Oak Ridge National Laboratory’s Transformational Decarbonization Initiative, is one of the world’s top experts in metal-organic frameworks (MOFs). These are a class of materials promising for direct air capture because of their cagelike structure and proven ability to attract and trap carbon dioxide. Sholl brought Medford, who specializes in applying machine learning models to atomistic and quantum mechanical simulations as they relate to chemistry, into the project.

Sholl, Medford, and their students provided all the inputs for the database. Because the database predicts the MOF interactions and the energy output of those interactions, considerable information was required.

They needed to know the structure of nearly every known MOF — both the MOF structure by itself and the structure of the MOF interacting with carbon dioxide and water molecules.

“To predict what a material might do, you need to know where every single atom is and what its chemical element is,” Medford said. “Figuring out the inputs for the database was half of the problem, and that’s where our Georgia Tech team brought the core expertise.”

The team took advantage of large collections of MOF structures that Sholl and his collaborators had previously developed. They also created a large collection of structures that included imperfections found in practical materials.

The Power of Machine Learning

Anuroop Sriram, research engineering lead at FAIR and first author on the paper, generated the database by running quantum chemistry computations on the inputs provided by the Georgia Tech team. These calculations used about 400 million CPU hours, which is hundreds of times more computing than the average academic computing lab can do in a year.

FAIR also trained machine learning models on the database. Once trained on the 40 million calculations, the machine learning models were able to accurately predict how the thousands of MOFs would interact with carbon dioxide.

The team demonstrated that their AI models are powerful new tools for material discovery, offering comparable accuracy to traditional quantum chemistry calculations while being much faster. These features will allow other researchers to extend the work to explore many other MOFs in the future.

“Our goal was to look at the set of all known MOFs and find those that most strongly attract carbon dioxide while not attracting other air components like water vapor, and using these highly accurate quantum computations to do so,” Sriram said. “To our knowledge, this is something no other carbon capture database has been able to do.”

Putting their own database to use, the Georgia Tech and Meta teams identified about 241 MOFs of exceptionally high potential for direct air capture.

Moving Forward With Impact

“According to the UN and most industrialized countries, we need to get to net-zero carbon dioxide emissions by 2050,” said Matt Uyttendaele, director of Meta’s FAIR chemistry team and a co-author on the paper. “Most of that must happen by outright stopping carbon emissions, but we must also address historical carbon emissions and sectors of the economy that are very hard to decarbonize — such as aviation and heavy industry. That’s why CO2 removal technologies like direct air capture must come online in the next 25 years.” 

While direct air capture is still a nascent field, the researchers say it’s crucial that groundbreaking tools — like the OpenDAC database made available in the team’s paper — are in development now. 

“There is not going to be one solution that will get us to net-zero emissions,” Sriram said. “Direct air capture has great potential but needs to be scaled up significantly before we can make a real impact. I think the only way we can get there is by finding better materials.”

The researchers from both teams hope the scientific community will join the search for suitable materials. The entire OpenDAC dataset project is open source, from the data to the models to the algorithms.

“I hope this accelerates the development of negative-emission technologies like direct air capture that may not have been possible otherwise,” Medford said. “As a species, we must solve this problem at some point. I hope this work can contribute to getting us there, and I think it has a real shot at doing that.”

 

Note: Georgia Tech ChBE graduate students Sihoon Choi, Logan Brabson, and Xiaohan Yu made major contributions and are co-authors of the paper.

Citation: A. Sriram et al, The Open DAC 2023 Dataset and Challenges for Sorbent Discovery in Direct Air Capture, ACS Central Science (2024).

DOI: https://doi.org/10.1021/acscentsci.3c01629

Georgia Tech’s AI Hub will be directed by Pascal Van Hentenryck, announced Chaouki Abdallah, executive vice president for Research. Van Hentenryck, A. Russell Chandler III Chair and professor in the H. Milton Stewart School of Industrial and Systems Engineering, also directs the NSF Artificial Intelligence Institute for Advances in Optimization (AI4OPT). 

Georgia Tech has been actively engaged in artificial intelligence (AI) research and education for decades. Formed in 2023, the AI Hub is a thriving network, bringing together over 1000 faculty and students who work on fundamental and applied AI-related research across the entire Institute.  

“Pascal Van Hentenryck will drive innovation and excellence at the helm of Georgia Tech’s AI Hub,” said Abdallah. “His leadership of one of our three AI institutes has already shown his dedication to fostering impactful partnerships and cultivating a dynamic ecosystem for AI progress at Georgia Tech and beyond.” 

The AI Hub aims to advance AI through discovery, interdisciplinary research, responsible deployment, and education to build the next generation of the AI workforce, as well as a sustainable future. Thanks to Tech’s applied, solutions-focused approach, the AI Hub is well-positioned to provide decision makers and stakeholders with access to world-class resources for commercializing and deploying AI. 

“A fundamental question people are asking about AI now is, ‘Can we trust it?’” said Van Hentenryck. “As such, the AI Hub’s focus will be on developing trustworthy AI for social impact — in science, engineering, and education.” 

U.S. News & World Report has ranked Georgia Tech among the five best universities with artificial intelligence programs. Van Hentenryck intends for the AI Hub to leverage the Institute’s strategic advantage in AI engineering to create powerful collaborations. These could include partnerships with the Georgia Tech Research Institute, for maximizing societal impact, and Tech’s 10 interdisciplinary research centers as well as its three NSF-funded AI institutes, for augmenting academic and policy impact.  

“The AI Hub will empower all AI-related activities, from foundational research to applied AI projects, joint AI labs, AI incubators, and AI workforce development; it will also help shape AI policies and improve understanding of the social implications of AI technologies,” Van Hentenryck explained. “A key aspect will be to scale many of AI4OPT’s initiatives to Georgia Tech’s AI ecosystem more generally — in particular, its industrial partner and workforce development programs, in order to magnify societal impact and democratize access to AI and the AI workforce.” 

Van Hentenryck is also thinking about AI’s technological implications. “AI is a unifying technology — it brings together computing, engineering, and the social sciences. Keeping humans at the center of AI applications and ensuring that AI systems are trustworthy and ethical by design is critical,” he added. 

In its first year, the AI Hub will focus on building an agile and nimble organization to accomplish the following goals: 

• facilitate, promote, and nurture use-inspired research and innovative industrial partnerships;  

• translate AI research into impact through AI engineering and entrepreneurship programs; and 

• develop sustainable AI workforce development programs.  

Additionally, the AI Hub will support new events, including AI-Tech Fest, a fall kickoff for the center. This event will bring together Georgia Tech faculty, as well as external and potential partners, to discuss recent AI developments and the opportunities and challenges this rapidly proliferating technology presents, and to build a nexus of collaboration and innovation.  

 

On a recent visit to the Georgia Tech campus, Secretary of Energy Jennifer Granholm announced that a tri-city alliance of Atlanta, Decatur, and Savannah in partnership with Georgia Tech will receive funding to drive clean energy solutions.

The funding is part of DOE’s Energy Future Grants program, and the Atlanta-Decatur-Savannah partners will receive $500,000 during the planning phase to develop initiatives, policies, and tools to promote green energy deployment in their communities. In total, the grants will provide $27 million in financial and technical assistance to support strategies that increase resiliency and improve access to affordable clean energy. The team will compete with other recipients for additional funding in subsequent phases of the program.

The Georgia Energyshed (G-SHED) team, led by Richard Simmons of the Strategic Energy Institute, will partner with the tri-city team in this project. The modeling and simulation-driven analysis from G-SHED will be used by the Tri-City Alliance project to develop deployment-ready blueprints of clean energy innovations focused on community benefits.

The G-SHED team, formed through another DOE grant, is developing a metropolitan energy planning organization informed by an integrated modeling effort that includes technical, social, and community inputs. Georgia Tech is collaborating with the Atlanta Regional Commission and the Southface Institute in this project. 

Granholm said announcing the funding at Georgia Tech was fitting because its tools “are going to be magnificent for this project for communities to decide the best path for them based on data.” Atlanta Mayor Andrew Dickens, U.S. Rep. Nikema Williams, and several other dignitaries were present during the announcement. Secretary Granholm toured parts of the Georgia Tech campus including the Carbon Neutral Energy Solutions building during her visit.

“It’s exciting when the Secretary of Energy makes a special trip to campus to announce a new Award. I appreciate Secretary Granholm and the Department of Energy for enabling this innovative energy partnership with Atlanta, Decatur, and Savannah,” said Tim Lieuwen, executive director of the Strategic Energy Institute.

James T. Stroud has been named an Early Career Fellow by the Ecological Society of America.

He joins the ranks of nine newly appointed ESA Fellows and ten 2024-2028 ESA Early Career Fellows, elected for "advancing the science of ecology and showing promise for continuing contributions" and recently confirmed by the organization's Governing Board.

Stroud, an Elizabeth Smithgall Watts Early Career Assistant Professor in the School of Biological Sciences, is an integrative evolutionary ecologist who investigates how ecological and evolutionary processes may underlie patterns of biological diversity at the macro-scale.

He primarily studies lizards and his research is highly multidisciplinary, combining field studies with macro-ecological and evolutionary comparative analyses. Stroud’s current interests are particularly focused on measuring natural selection in the wild, often taking advantage of non-native lizards as natural experiments in ecology and evolution.

Earlier this month, Stroud presented his recent work at the inaugural College of Sciences Frontiers in Science: Climate Action Conference and Symposium, joining more than 20 faculty experts and 100 stakeholders from across all six colleges at Georgia Tech to discuss climate change, challenges, and solutions.

Stroud joined the Georgia Tech faculty in August 2023. He earned a Ph.D. in Ecology and Evolution from Florida International University.

"I am thrilled to recognize the exceptional contributions of our newly selected Fellows and Early Career Fellows,” says ESA President Shahid Naeem. “Their groundbreaking research, unwavering commitment to mentoring and teaching and advocacy for sound science in management and policy decisions have not only advanced ecological science but also inspired positive change within our community and beyond. We celebrate their achievements and eagerly anticipate the profound impacts they will continue to make in their careers."

ESA will formally acknowledge and celebrate its new Fellows for their exceptional achievements during a ceremony at ESA’s 2024 Annual Meeting in Long Beach, California.

 

About ESA Fellowships

ESA established its Fellows program in 2012 with the goal of honoring its members and supporting their competitiveness and advancement to leadership positions in the Society, at their institutions, and in broader society. Past ESA Fellows and Early Career Fellows are listed on the ESA Fellows page.

About ESA

The Ecological Society of America, founded in 1915, is the world’s largest community of professional ecologists and a trusted source of ecological knowledge, committed to advancing the understanding of life on Earth. The 8,000 member Society publishes six journals and a membership bulletin and broadly shares ecological information through policy, media outreach, and education initiatives. The Society’s Annual Meeting attracts 4,000 attendees and features the most recent advances in ecological science. Visit the ESA website at https://www.esa.org.

 

April 12 is a significant date in the history of exploration, as it marks the first space flight of a human, Yuri Gagarin, in 1961. This year on April 12, the Georgia Tech Space Research Initiative (Space RI) hosted an event highlighting the Institute’s interdisciplinary space research. The Yuri’s Day Symposium was Space RI’s first public event.

A multidisciplinary initiative, the Space RI brings together faculty, researchers, and students from across campus who share a passion for space exploration. Their combined research explores a broad array of space-related topics, all considered from a human perspective.

“Launching Georgia Tech’s Space Research Initiative reinforces our commitment to advancing our understanding of space and our universe,” said Executive Vice President for Research Chaouki Abdallah. “It is also a testament to Georgia Tech's unwavering dedication to pushing the limits of what is possible and to fostering innovations that benefit humankind.”

The symposium was organized by Glenn Lightsey, interim executive director of the Space RI, and the Space RI steering committee, which consists of representatives from the Georgia Tech Research Institute (GTRI) and the Colleges of Engineering, Computing, and Sciences, the Ivan Allen College of Liberal Arts, and the Scheller College of Business. The day began with remarks from Research leadership and an overview of the Space RI and its mission. “This is an exciting time for space exploration at Georgia Tech and across the world,” Lightsey said. “Space research is a critical part of solving our world’s most challenging problems and improving life for everyone on Earth.”

Space research and exploration yield many societal benefits that improve life on Earth and even foster economic growth. These advances include rapidly evolving technologies, improvements in medicine, and the development of enhanced materials — such as self-healing materials and those designed for extreme environments. Additionally, space research provides essential tools, data, and insights for climate scientists.

Sessions and panels throughout the day covered space science, space media, NASA’s Moon to Mars program, GTRI’s space research program, commercial space initiatives, and space in popular culture. A.C. Charania, NASA’s chief technologist and a Georgia Tech alumnus, delivered the keynote address. He shared insights into his work at NASA and Moon to Mars.

Following the symposium, the Space RI hosted a “star party” at the Georgia Tech Observatory. People of all ages gathered at the event, where they could use the observatory’s telescope to observe the moon, Jupiter, and the Orion Nebula, an immense cloud of dust and gas from which new stars are born.

“It was a clear night, and we were able to view the lunar terminator — the boundary where the sun is setting on the moon — which accentuates craters and mountains,” said Lightsey. “It was exciting to officially launch our initiative on a day when the world celebrated space exploration and the star party was a fantastic way to end our event.”

In July 2025, the Space RI will transition into one of Georgia Tech’s Interdisciplinary Research Institutes. Learn more about the initiative at space.gatech.edu.

Sign up to receive space news and event updates from the Space RI.