The National Science Foundation (NSF) awarded a syndicate of eight Southeast universities — with Georgia Tech as the lead — a $15 million grant to support the development of a regional innovation ecosystem that addresses underrepresentation and increases entrepreneurship and technology-oriented workforce development. 

The NSF Innovation Corps (I-Corps) Southeast Hub is a five-year project based on the I-Corps model, which assists academics in moving their research from the lab to the market. 

Led by Georgia Tech’s Office of Commercialization and Enterprise Innovation Institute, the NSF I-Corps Southeast Hub encompasses four states — Georgia, Florida, South Carolina, and Alabama. 

Its member schools include:

• Clemson University 
• Morehouse College 
• University of Alabama 
• University of Central Florida 
• University of Florida 
• University of Miami 
• University of South Florida 

In January 2025, when the NSF I-Corps Southeast Hub officially launches, the consortium of schools will expand to include the University of Puerto Rico. Additionally, through Morehouse College’s activation, Spelman College and the Morehouse School of Medicine will also participate in supporting the project. 

With a combined economic output of more than $3.2 trillion, the NSF I-Corps Southeast Hub region represents more than 11% of the entire U.S. economy. As a region, those states and Puerto Rico have a larger economic output than France, Italy, or Canada. 

“This is a great opportunity for us to engage in regional collaboration to drive innovation across the Southeast to strengthen our regional economy and that of Puerto Rico,” said the Enterprise Innovation Institute’s Nakia Melecio, director of the NSF I-Corps Southeast Hub. As director, Melecio will oversee strategic management, data collection, and overall operations​. 

Additionally, Melecio serves as a national faculty instructor for the NSF I-Corps program. 

“This also allows us to collectively tackle some of the common challenges all four of our states face, especially when it comes to being intentionally inclusive in reaching out to communities that historically haven’t always been invited to participate,” he said. 

That means bringing solutions to market that not only solve problems but are intentional about including researchers from Black and Hispanic-serving institutions, Melecio said. 

Keith McGreggor, director of Georgia Tech’s VentureLab, is the faculty lead charged with designing the curriculum and instruction for the NSF I-Corps Southeast Hub’s partners. 

McGreggor has extensive I-Corps experience. In 2012, Georgia Tech was among the first institutions in the country selected to teach the I-Corps curriculum, which aims to further research commercialization. McGreggor served as the lead instructor for I-Corps-related efforts and led training efforts across the Southeast, as well as for teams in Puerto Rico, Mexico, and the Republic of Ireland. 

Raghupathy “Siva” Sivakumar, Georgia Tech’s vice president of Commercialization and chief commercialization officer, is the project’s principal investigator. 

The NSF I-Corps Southeast Hub is one of three announced by the NSF. The others are in the Northwest and New England regions, led by the University of California, Berkeley, and the Massachusetts Institute of Technology, respectively. The three I-Corps Hubs are part of the NSF’s planned expansion of its National Innovation Network, which now includes 128 colleges and universities across 48 states. 

As designed, the NSF I-Corps Southeast Hub will leverage its partner institutions’ strengths to break down barriers to researchers’ pace of lab-to-market commercialization. 

"Our Hub member institutions have successfully commercialized transformative technologies across critical sectors, including advanced manufacturing, renewable energy, cybersecurity, and biomedical fields,” said Sivakumar. “We aim to achieve two key objectives: first, to establish and expand a scalable model that effectively translates research into viable commercial ventures; and second, to address pressing societal needs.

"This includes not only delivering innovative solutions but also cultivating a diverse pipeline of researchers and innovators, thereby enhancing interest in STEM fields — science, technology, engineering, and mathematics.”

U.S. Rep. Nikema Williams, D-Atlanta, is a proponent of the Hub’s STEM component. 

“As a biology major-turned-congresswoman, I know firsthand that STEM education and research open doors far beyond the lab or classroom.,” Williams said. “This National Science Foundation grant means Georgia Tech will be leading the way in equipping researchers and grad students to turn their discoveries into real-world impact — as innovators, entrepreneurs, and business leaders. 

“I’m especially excited about the partnership with Morehouse College and other minority-serving institutions through this Hub, expanding pathways to innovation and entrepreneurship for historically marginalized communities and creating one more tool to close the racial wealth gap.” 

That STEM aspect, coupled with supporting the growth of a regional ecosystem, will speed commercialization, increase higher education-industry collaborations, and boost the network of diverse entrepreneurs and startup founders, said David Bridges, vice president of the Enterprise Innovation Institute. 

“This multi-university, regional approach is a successful model because it has been proven that bringing a diversity of stakeholders together leads to unique solutions to very difficult problems,” he said. “And while the Southeast faces different challenges that vary from state to state and Puerto Rico has its own needs, they call for a more comprehensive approach to solving them. Adopting a region-oriented focus allows us to understand what these needs are, customize tailored solutions, and keep not just our hub but our nation economically competitive.” 

In a major step forward for deploying artificial intelligence (AI) in industry, Georgia Tech’s newly established AI hub, Tech AI, has partnered with the Center for Scientific Software Engineering (CSSE). This collaboration aims to bridge the gap between academia and industry by advancing scalable AI solutions in sectors such as energy, mobility, supply chains, healthcare, and services.

Building on the Foundation of Success

CSSE, founded in late 2021 and supported by Schmidt Sciences as part of their VISS initiative, was created to advance and support scientific research by applying modern software engineering practices, cutting-edge technologies, and modern tools to the development of scientific software within and outside Georgia Tech. CSSE is led by Alex Orso,  professor and associate dean in the College of Computing,  and Jeff Young, a principal scientist at Georgia Tech. The Center's team boasts over 60 years of combined experience, with engineers from companies such as Microsoft, Amazon, and various startups, working under the supervision of the Center’s Head of Engineering, Dave Brownell. Their focus is on turning cutting-edge research into real-world products.

“Software engineering is about much more than just writing code,” Orso explained. “It’s also about specifying, designing, testing, deploying, and maintaining these systems.”

A Partnership to Support AI Research and Innovation

Through this collaboration, CSSE’s expertise will be integrated into Tech AI to create a software engineering division that can support AI engineering and also create new career opportunities for students and researchers.

Pascal Van Hentenryck, the A. Russell Chandler III Chair and professor in the H. Milton Stewart School of Industrial Engineering (ISyE)  and director of both the NSF AI Research Institute for Advances in Optimization (AI4OPT) and Tech AI, highlighted the potential of this partnership.

“We are impressed with the technology and talent within CSSE,” Van Hentenryck said. “This partnership allows us to leverage an existing, highly skilled engineering team rather than building one from scratch. It’s a unique opportunity to build the engineering pillar of Tech AI and push our AI initiatives forward, moving from pilots to products.”

“Joining our forces and having a professional engineering resource within Tech AI will give Georgia Tech a great competitive advantage over other AI initiatives,” Orso added.

One of the first projects under this collaboration focuses on AI in energy, particularly in developing new-generation, AI-driven, market clearing optimization and real-time risk assessment. Plans are also in place to pursue several additional projects, including the creation of an AI-powered search engine assistant, demonstrating the center’s ability to tackle complex, real-world problems.

This partnership is positioned to make a significant impact on applied AI research and innovation at Georgia Tech. By integrating modern software engineering practices, the collaboration will address key challenges in AI deployment, scalability, and sustainability, and translate AI research innovations into products with real societal impact.

“This is a match made in heaven,” Orso noted, reflecting on the collaboration’s alignment with Georgia Tech’s strategic goals to advance technology and improve human lives. Van Hentenryck added that “the collaboration is as much about creating new technologies as it is about educating the next generation of engineers.”

Promoting Open Source at Tech AI

A crucial element supporting the new Tech AI and CSSE venture is Georgia Tech’s Open Source Program Office (OSPO), a joint effort with the College of Computing, PACE, and the Georgia Tech Library. As an important hub of open-source knowledge, OSPO will provide education, training, and guidance on best practices for using and contributing to open-source AI frameworks.

“A large majority of the software driving our current accomplishments in AI research and development is built on a long history of open-source software and data sets, including frameworks like PyTorch and models like Meta’s LLaMA,” said Jeff Young, principal investigator at OSPO. “Understanding how we can best use and contribute to open-source AI is critical to our future success with Tech AI, and OSPO is well-suited to provide guidance, training, and expertise around these open-source tools, frameworks, and pipelines.”

Looking Ahead

As the partnership between Tech AI and CSSE evolves, both groups anticipate a future in which interdisciplinary research drives innovation. By integrating AI with real-world software engineering, the collaboration promises to create new opportunities for students, researchers, and Georgia Tech as a whole.

With a strong foundation, a talented team, and a clear vision, Tech AI and CSSE together are set to break new ground in AI and scientific research, propelling Georgia Tech to the forefront of technological advancement in the AI field.

About the Center for Scientific Software Engineering (CSSE)

The CSSE at Georgia Tech, supported by an $11 million grant from Schmidt Sciences, is one of four scientific software engineering centers within the Virtual Institute for Scientific Software (VISS). Its mission is to develop scalable, reliable, open-source software for scientific research, ensuring maintainability and effectiveness. Learn more at https://ssecenter.cc.gatech.edu.

About Georgia Tech’s Open Source Program Office (OSPO)

Georgia Tech’s OSPO supports the development of open-source research software across campus. Funded by a Sloan Foundation grant, OSPO provides community guidelines, training, and outreach to promote a thriving open-source ecosystem. Learn more at https://ospo.cc.gatech.edu.

About Schmidt Sciences

Schmidt Sciences is a nonprofit organization founded in 2024 by Eric and Wendy Schmidt that works to advance science and technology that deepens human understanding of the natural world and develops solutions to global issues. The organization makes grants in four areas—AI and advanced computing, astrophysics and space, biosciences and climate—as well as supporting researchers in a variety of disciplines through its science systems program. Learn more at https://www.schmidtsciences.org/. 

About Tech AI

Tech AI is Georgia Tech’s AI hub, advancing AI through research, education, and responsible deployment. The hub focuses on AI solutions for real-world applications, preparing the next generation of AI leaders. Learn more at https://ai.gatech.edu.

The National Institutes of Health (NIH) has awarded $7.5 million to Ankur Singh, Carl Ring Family Professor in the George W. Woodruff School of Mechanical Engineering (ME) and professor in the Wallace H. Coulter Department of Biomedical Engineering (BME) at Georgia Tech and Emory, for his pioneering research in creating functional models of the human immune system in the lab.

The funding, sourced from the National Institute of Allergy and Infectious Diseases, supports two projects aimed at developing human immune organoids, which are sophisticated models engineered to replicate and study the natural human immune responses. The research could revolutionize vaccine development and immune system research, particularly for aging populations.

"Little advancement has been made in this area due to the complex nature of the immune system and the challenges of making a functional human immune tissue outside the body,” said Singh, who is also director of the Center for Immunoengineering at Georgia Tech. “I am grateful to the NIH for supporting our work, which will enable us to develop an advanced technology that can help solve the problems of emerging infections and enhance our timely response to them.”

Building Next-Generation Human Immune Organoids

The goal of Singh’s first project is to replicate the complex environment of germinal centers (GCs) — the sites within lymph nodes where B cells are trained to produce the antibodies crucial for fighting infections. While animal models and current engineered systems have offered insights, they fall short in recreating the intricate processes that occur in human GCs, which limits their utility in vaccine development and understanding immune responses.

Singh’s method involves using a hydrated polymer-based gel material to create a structure that mimics the environment of lymphoid tissue in the body. By adding human immune cells (like B cells, T cells, and support cells) into this gel, the project tries to recreate how B cells mature into specialized immune cells that are important for a strong and lasting immune response. This advancement will allow scientists to grow and study these cells in the lab and use them for better vaccine testing, therapeutic development including cell-based therapies, and to deepen our understanding of the immune system.

The second project addresses a pressing issue in public health: the decline in immune function with age. As people age, their ability to mount effective immune responses against new infections diminishes, leading to higher mortality rates from diseases such as influenza and Covid-19. However, the underlying mechanisms — whether due to defects in aged B cells, impaired T cells, or changes in the lymphoid tissue environment — remain poorly understood.

Singh’s research proposes the development of an “aged B cell follicle” organoid, a novel platform that replicates the lymphoid microenvironment of older individuals. This system will allow researchers to dissect the factors driving age-related declines in immune function, offering a new tool for studying how aged B cells respond to antigens and identifying molecular targets to rejuvenate immune responses.

A Pioneering Step Forward in Immunology Research

The broader impact of Singh’s organoid research is wide-ranging. By enabling the study of human immune responses in a controlled, reproducible environment, the organoids could dramatically accelerate the development of vaccines and immunotherapies. The models could also provide new insights into whether a particular vaccine will be effective for a given individual, potentially reducing the time and cost of clinical trials.

Singh’s aged immune organoid platform could serve as a rapid screening tool for identifying older individuals who are likely to respond poorly to vaccines, enabling more personalized and effective vaccination strategies for that population. The models could be particularly useful in the context of pandemics or seasonal flu outbreaks, where timely and effective immunization is critical.

“By securing this substantial NIH funding, Singh’s work is poised to make a significant impact on both the scientific community and public health,” said Andrés García, executive director of the Parker H. Petit Institute for Bioengineering and Bioscience, Regents' Professor in ME, the Petit Director's Chair in Bioengineering and Bioscience, and a collaborator on Singh’s first project. “This innovative immunoengineering research not only promises to advance our understanding of immune system function and aging, but also holds the potential to transform vaccine development, offering new hope for more effective disease prevention strategies across the lifespan.”

The NIH’s investment in Singh’s research underscores a growing recognition of the need for innovative approaches to studying human immunity. The Food and Drug Administration Modernization Act 2.0, for example, promotes the use of organs-on-chip technologies in the service of drug development. As organoid technologies continue to evolve, they could come to represent the future of immunological research, providing powerful new tools to combat infectious diseases and improve health outcomes globally.

Key collaborators on the first project include Andrés García; Ahmet Coskun, the Bernie-Marcus Early-Career Professor in BME; and Dr. Ignacio Sanz, Mason I. Lowance Professor of Medicine and Pediatrics and chief of the chief of the Division of Rheumatology at Emory School of Medicine. 

Key collaborators on the second project include Coskun; Jeremy Boss, professor and chair of the Department of Microbiology and Immunology at Emory School of Medicine; and Ranjan Sen, senior investigator in the Laboratory of Molecular Biology and Immunology at NIH’s National Institute on Aging. 

A new agreement between Los Alamos National Laboratory (LANL) and the National Science Foundation’s Artificial Intelligence Institute for Advances in Optimization (AI4OPT) at Georgia Tech is set to propel research in applied artificial intelligence (AI) and engage students and professionals in this rapidly growing field.

“This collaboration will help develop new AI technologies for the next generation of scientific discovery and the design of complex systems and the control of engineered systems,” said Russell Bent, scientist at Los Alamos. “At Los Alamos, we have a lot of interest in optimizing complex systems. We see an opportunity with AI to enhance system resilience and efficiency in the face of climate change, extreme events, and other challenges.”

The agreement establishes a research and educational partnership focused on advancing AI tools for a next-generation power grid. Maintaining and optimizing the energy grid involves extensive computation, and AI-informed approaches, including modeling, could address power-grid issues more effectively.

AI Approaches to Optimization and Problem-Solving

Optimization involves finding solutions that utilize resources effectively and efficiently. This research partnership will leverage Georgia Tech's expertise to develop “trustworthy foundation models” that, by incorporating AI, reduce the vast computing resources needed for solving complex problems.

In energy grid systems, optimization involves quickly sorting through possibilities and resources to deliver immediate solutions during a power-distribution crisis. The research will develop “optimization proxies” that extend current methods by incorporating broader parameters such as generator limits, line ratings, and grid topologies. Training these proxies with AI for energy applications presents a significant research challenge.

The collaboration will also address problems related to LANL’s diverse missions and applications. The team’s research will advance pioneering efforts in graph-based, physics-informed machine learning to solve Laboratory mission problems.

Outreach and Training Opportunities

In January 2025, the Laboratory will host a Grid Science Winter School and Conference, featuring lectures from LANL scientists and academic partners on electrical grid methods and techniques. With Georgia Tech as a co-organizer, AI optimization for the energy grid will be a focal point of the event.

Since 2020, the Laboratory has been working with Georgia Tech on energy grid projects. AI4OPT, which includes several industrial and academic partners, aims to achieve breakthroughs by combining AI and mathematical optimization.

“The use-inspired research in AI4OPT addresses fundamental societal and technological challenges,” said Pascal Van Hentenryck, AI4OPT director. “The energy grid is crucial to our daily lives. Our collaboration with Los Alamos advances a research mission and educational vision with significant impact for science and society.”

The three-year agreement, funded through the Laboratory Directed Research and Development program’s ArtIMis initiative, runs through 2027. It supports the Laboratory’s commitment to advancing AI. Earl Lawrence is the project’s principal investigator, with Diane Oyen and Emily Castleton joining Bent as co-principal investigators.

Bent, Castleton, Lawrence, and Oyen are also members of the AI Council at the Laboratory. The AI Council helps the Lab navigate the evolving AI landscape, build investment capacities, and forge industry and academic partnerships.

As highlighted in the Department of Energy’s Frontiers in Artificial Intelligence for Science, Security, and Technology (FASST) initiative, AI technologies will significantly enhance the contributions of laboratories to national missions. This partnership with Georgia Tech through AI4OPT is a key step towards that future.

From keeping warm in the winter to doing laundry, heat is crucial to daily life. But as the world grapples with climate change, buildings’ increasing energy consumption is a critical problem. Currently, heat is produced by burning fossil fuels like coal, oil, and gas, but that will need to change as the world shifts to clean energy. 

Georgia Tech researchers in the George W. Woodruff School of Mechanical Engineering (ME) are developing more efficient heating systems that don’t rely on fossil fuels. They demonstrated that combining two commonly found salts could help store clean energy as heat; this can be used for heating buildings or integrated with a heat pump for cooling buildings.

The researchers presented their research in “Thermochemical Energy Storage Using Salt Mixtures With Improved Hydration Kinetics and Cycling Stability,” in the Journal of Energy Storage.

Reaction Redux 

The fundamental mechanics of heat storage are simple and can be achieved through many methods. A basic reversible chemical reaction is the foundation for their approach: A forward reaction absorbs heat and then stores it, while a reverse reaction releases the heat, enabling a building to use it.

ME Assistant Professor Akanksha Menon has been interested in thermal energy storage since she began working on her Ph.D.  When she arrived at Georgia Tech and started the Water-Energy Research Lab (WERL), she became involved in not only developing storage technology and materials but also figuring out how to integrate them within a building. She thought understanding the fundamental material challenges could translate into creating better storage.

“I realized there are so many things that we don't understand, at a scientific level, about how these thermo-chemical materials work between the forward and reverse reactions,” she said.

The Superior Salt

The reactions Menon works with use salt. Each salt molecule can hold a certain number of water molecules within its structure. To instigate the chemical reaction, the researchers dehydrate the salt with heat, so it expels water vapor as a gas. To reverse the reaction, they hydrate the salt with water, forcing the salt structure’s expansion to accommodate those water molecules. 

It sounds like a simple process, but as this expansion/contraction process happens, the salt gets more stressed and will eventually mechanically fail, the same way lithium-ion batteries only have so many charge-discharge cycles. 

“You can start with something that's a nice spherical particle, but after it goes through a few of these dehydration-hydration cycles, it just breaks apart into tiny particles and completely pulverizes or it overhydrates and agglomerates into a block,” Menon explained. 

These changes aren’t necessarily catastrophic, but they do make the salt ineffective for long-term heat storage as the storage capacity decreases over time. 

Menon and her student, Erik Barbosa, a Ph.D. student in ME, began combining salts that react with water in different ways. After testing six salts over two years, they found two that complemented each other well. Magnesium chloride often fails because it absorbs too much water, whereas strontium chloride is very slow to hydrate. Together, their respective limitations can mutually benefit each other and lead to improved heat storage.

“We didn't plan to mix salts; it was just one of the experiments we tried,” Menon said. “Then we saw this interactive behavior and spent a whole year trying to understand why this was happening and if it was something we could generalize to use for thermal energy storage.”

The Energy Storage of the Future

Menon is just beginning with this research, which was supported by a National Science Foundation (NSF) CAREER Award. Her next step is developing the structures capable of containing these salts for heat storage, which is the focus of an Energy Earthshots project funded by the U.S. Department of Energy’s (DOE) Office of Basic Energy Sciences.

A system-level demonstration is also planned, where one solution is filling a drum with salts in a packed bed reactor. Then hot air would flow across the salts, dehydrating them and effectively charging the drum like a battery. To release that stored energy, humid air would be blown over the salts to rehydrate the crystals. The subsequently released heat can be used in a building instead of fossil fuels. While initiating the reaction needs electricity, this could come from off-peak (excess renewable electricity) and the stored thermal energy could be deployed at peak times. This is the focus of another ongoing project in the lab that is funded by the DOE’s  Building Technologies Office.

Ultimately, this technology could lead to climate-friendly energy solutions. Plus, unlike many alternatives like lithium batteries, salt is a widely available and cost-effective material, meaning its implementation could be swift. Salt-based thermal energy storage can help reduce carbon emissions, a vital strategy in the fight against climate change.

“Our research spans the range from fundamental science to applied engineering thanks to funding from the NSF and DOE,” Menon said. “This positions Georgia Tech to make a significant impact toward decarbonizing heat and enabling a renewable future.”

This partnership in the advancement of AI and mathematical optimization to address pressing energy transformations in Latin America and the U.S. has formed between the NSF Artificial Intelligence (AI) Research Institute for Advances in Optimization (AI4OPT) at Georgia Tech and PSR, Inc. - Energy Consulting and Analytics. 

PSR is a global leader in analytical solutions for the energy sector, providing innovative technical consultancy services and state-of-the-art power systems planning software. Their tools are used for detailed modeling of entire countries or regions and are utilized in over 70 countries. Together with AI4OPT, they aim to leverage advancements in AI and mathematical optimization to address pressing energy transformations in Latin America and the U.S.

Latin America boasts abundant renewable energy resources, especially hydropower, leading to one of the largest shares of renewables in its energy mix. However, expanding renewable energy capacity in Latin America and the U.S. to meet decarbonization goals will require system operational advances and new technologies that can adapt to current needs.

One focus of this collaboration will be studying how to efficiently incorporate pumped storage into the resource mix as a solution for long-duration storage. These plants act as large batteries, pumping water to higher reservoirs during low demand periods and generating electricity during high demand with minimal energy loss over time. This technology supports both short-term and long-term energy storage, making it crucial for managing the variability of intermittent renewables like solar and wind.

The complex and large-scale nature of the expansion problem, exacerbated by inherent uncertainty and time-coupled decisions, traditionally requires sophisticated optimization techniques. AI innovations now provide faster solutions and better representations of non-linear dynamics, leading to more cost-effective operations and optimized energy mix selection for the energy transition.

This collaboration plans to use machine learning to enhance power system operators' ability to perform faster security checks and screenings. As renewable energy sources introduce more variability, traditional methods struggle with the increasing number of scenarios needed for grid stability. Machine learning offers a solution by expediting these analyses, supporting the integration of more renewable energy into the system.

About PSR

PSR is a global provider of analytical solutions for the energy sector, spanning from insightful and innovative technical consultancy services to state-of-the-art specialized power systems planning software applied to the detailed modelling of entire countries or regions. Having its products applied in over 70 countries, PSR contributes to the research and development of optimization and data analytics’ tools for guaranteeing a reliable and least-cost operation of power systems, helping the countries achieve their decarbonization targets.

About AI4OPT

The Artificial Intelligence (AI) Research Institute for Advances in Optimization, or AI4OPT, aims to deliver a paradigm shift in automated decision-making at massive scales by fusing AI and Mathematical Optimization (MO) to achieve breakthroughs that neither field can achieve independently. The Institute is driven by societal challenges in energy, logistics and supply chains, resilience and sustainability, and circuit design and control. To address the widening gap in job opportunities, the Institute delivers an innovative longitudinal education and workforce development program.

Clark Atlanta University (CAU), in collaboration with Georgia Tech’s NSF Artificial Intelligence (AI) Research Institute for Advances in Optimization (AI4OPT), has been awarded a four-year $2.79 million grant (Award ID 2402493) by the National Science Foundation (NSF) to create an AI Hub. This collaborative effort aims to advance AI education and research at minority-serving institutions, particularly historically Black colleges and universities (HBCUs).

This initiative, part of the NSF ExpandAI program, aims to boost minority-serving institution participation in AI research, education, and workforce development through capacity-building projects and partnerships within the NSF-led National AI Research Institutes ecosystem.

Building an AI community is no easy feat, but the CAU-GT/AI4OPT collaboration is prepared to meet it. The project, known as AIHUB@CAU, will be led by principal investigator Charles B. Pierre, associate professor in CAU’s Department of Mathematical Sciences.

"The mission of the grant aligns with the AI4OPT Faculty Training Program, which focuses on strategies to increase minority participation in AI research programs from HBCUs to other minority-serving institutions," said Pierre, who also leads the Educational and Diversity Initiatives at AI4OPT. "Our goal is to ensure diverse representation in the AI field."

The collaboration will use existing educational resources and infrastructure to build centers of excellence in AI and a community of empowered Black AI researchers. 

"We anticipate challenges in developing coursework, including finding qualified industry professionals to teach and preparing academic professors unfamiliar with AI," Pierre said. "Our aim is to establish Ph.D. programs at CAU and position the university as a hub for AI training, addressing these issues head-on."

AIHUB@CAU will integrate industry partnerships to accelerate curriculum development and real-world applications. It expands AI education beyond machine learning to encompass decision-making and applications in fields like business analytics, cyber-physical security, and operations research.

Partially funded through NSF's Louis Stokes Alliances for Minority Participation program, this award underscores NSF's commitment to diversity in STEM fields through impactful educational and research initiatives.

"Establishing programs at institutions like Clark Atlanta University and AI4OPT at Georgia Tech provides students with essential resources and tools to succeed in this ever-evolving field," Pierre noted.

Goals and Structure of the AI Education Program

Main Goals of Creating AI Courses at the Undergraduate and Graduate Levels:

• Close the gap of AI graduates from HBCUs at undergraduate and graduate levels.
• Prepare HBCU students for the AI workforce.
• Align with the vision of AI4OPT at Georgia Tech to "democratize access to AI education."

Impact on Students' Career Prospects and the AI Research Community:

• Undergraduate courses and programs will prepare students for entry-level positions in the field.
• Graduate courses and programs will prepare students for research and participation in the AI research community.

Role and Contribution:

• AI4OPT at Georgia Tech will assist CAU with the development of both undergraduate and graduate courses and programs.
• Offer research opportunities to CAU students at the undergraduate and graduate levels.
• AI4OPT at Georgia Tech will be a partner in the established AI Research Hub.

Support for Development of MS and Ph.D. Courses:

• Use current courses at Georgia Tech as a template.
• Use the courses offered through the Faculty Training Program (FTP) of AI4OPT.

Foundational AI Courses:

• Courses already taught by CAU faculty in the AI4OPT FTP.
• Courses available at Georgia Tech.
• New courses to be developed by AIHUB@CAU based on Intel material, focusing on computer vision and natural language processing.
• Courses in applied optimization developed by AI4OPT.
• New use-inspired AI courses teaching applications of AI in various domains, such as supply chains, security, chemistry, and manufacturing.

Research Opportunities:

• The Undergraduate Research Program (URP) will provide students with early exposure to AI research, including summer internships at Georgia Tech and other AI4OPT sites.
• The graduate programs will include an 18-month non-thesis master's degree with a summer internship and capstone project, and a two-year thesis master's degree supported by a six-month research project.

Structure of the New Master in AI Program:

• Courses in five categories to support the master’s program:
  1. Existing courses at CAU taught in the AI4OPT FTP.
  2. Courses available at Georgia Tech.
  3. New courses based on Intel material.
  4. Applied optimization courses developed by AI4OPT.
  5. New courses developed by AIHUB@CAU focusing on AI applications in various domains.

Collaborations and Internships:

• Joint supervision of research projects by CAU and AI4OPT faculty.
• Summer internships starting in 2026.
• Capstone projects facilitated by Georgia Tech and industrial partners.

About AI4OPT

The Artificial Intelligence (AI) Research Institute for Advances in Optimization, or AI4OPT, aims to deliver a paradigm shift in automated decision-making at massive scales by fusing AI and Mathematical Optimization (MO) to achieve breakthroughs that neither field can achieve independently. The Institute is driven by societal challenges in energy, logistics and supply chains, resilience and sustainability, and circuit design and control. To address the widening gap in job opportunities, the Institute delivers an innovative longitudinal education and workforce development program.

About Georgia Tech

The Georgia Institute of Technology, or Georgia Tech, is a top 10 public research university developing leaders who advance technology and improve the human condition. The Institute offers business, computing, design, engineering, liberal arts, and sciences degrees. Its nearly 40,000 students, representing 50 states and 149 countries, study at the main campus in Atlanta, at international campuses, and through distance and online learning. As a leading technological university, Georgia Tech is an engine of economic development for Georgia, the Southeast, and the nation, conducting more than $1 billion in research annually for government, industry, and society.

About Clark Atlanta University

Clark Atlanta University was formed with the consolidation of Atlanta University and Clark College, both of which hold unique places in the annals of African American history. Atlanta University, established in 1865 by the American Missionary Association, was the nation’s first institution to award graduate degrees to African Americans. CAU is also the largest of the 37-member UNCF institutions. CAU, established four years later in 1869, was the nation’s first four-year liberal arts college to serve a primarily African American student population. Today, with over 4,000 students, CAU is the largest of the four institutions (CAU, Morehouse College, Spelman College, and Morehouse School of Medicine) that comprise the Atlanta University Center Consortium.

About National Science Foundation

The U.S. National Science Foundation propels the nation forward by advancing fundamental research in all fields of science and engineering. NSF supports research and people by providing facilities, instruments and funding to support their ingenuity and sustain the U.S. as a global leader in research and innovation. With a fiscal year 2023 budget of $9.5 billion, NSF funds reach all 50 states through grants to nearly 2,000 colleges, universities and institutions. Each year, NSF receives more than 40,000 competitive proposals and makes about 11,000 new awards. Those awards include support for cooperative research with industry, Arctic and Antarctic research and operations, and U.S. participation in international scientific efforts.

When Blair Brettmann was a sophomore at the University of Texas at Austin, her advisor told her about the National Science Foundation’s Research Experience for Undergraduates (REU) program. The summer program enables undergraduates to conduct research at top institutions across the country. Brettmann spent the summer of 2005 at Cornell working in a national nanotechnology program — a defining experience that led to her current research in molecular engineering for integrated product development. 

“I didn't know for sure if I wanted to attend grad school until after the REU experience,” Brettmann said. “Through it, I went to high-level seminars for the first time, and working in a cleanroom was super cool.” 

Her experience was so positive that the following summer, Brettmann completed a second REU at the Massachusetts Institute of Technology, where she eventually earned her Ph.D. Now an associate professor in Georgia Tech’s School of Chemical and Biomolecular Engineering and School of Materials Science and Engineering and an Institute for Matter and Systems faculty member, Brettmann is an REU mentor for the current iteration of the nanotechnology program — now taking place at Georgia Tech. 

Brettmann’s mentee this summer, Marissa Moore, is having a similarly positive experience. A rising senior in chemical engineering at the University of Missouri-Columbia (Mizzou), Moore was already familiar with Georgia Tech because her father received his chemical engineering Ph.D. from the Institute; she hopes to do the same. Her passion for research began as she grew up with her sister, who had cerebral palsy and epilepsy. 

“We spent a lot of time in hospitals trying out new devices and looking for different medications that would help her, so I knew I wanted to make a difference in this area,” she said. 

But Moore wasn’t interested in being a doctor. Instead, she wanted to develop the materials that could be a solution for someone like her sister. Her undergraduate research focuses on materials and biomaterials for medical applications, and Georgia Tech is enabling her to deep-dive into pure materials science. 

“What I'm working on at both universities is biodegradable polymers, but at Mizzou I’m developing that polymer from the ground up, and at Tech I’m using the properties of the polymer and finding how to make them,” she explained. 

Having the opportunity to work in nanotechnology through the Institute for Materials and use Georgia Tech’s famous cleanroom made this REU stand out for Moore. 

“I had never been in the cleanroom before, so that was one of the most eye-opening experiences,” she said. “It was cool to gown up and learn all of the safety precautions.” 

For Brettmann, hands-on research experiences like this make the REU program unique — and crucial — for potential graduate students. 

“Having your experiments fail, or even having things not turn out as you expect them to is an important part of the graduate research experience,” she said. “One of the best things about REU is it can be a first experience for people and help them decide what to do in grad school later on.”

Georgia Tech will lead a consortium of 12 universities and 12 national labs as part of a $25 million U.S. Department of Energy National Nuclear Security Administration (NNSA) award. This is the second time Georgia Tech has won this award and led research and development efforts to aid NNSA’s nonproliferation, nuclear science, and security endeavors.

The Consortium for Enabling Technologies and Innovation (ETI) 2.0 will leverage the strong foundation of interdisciplinary, collaboration-driven technological innovation developed in the ETI Consortium funded in 2019. The technical mission of the ETI 2.0 team is to advance technologies across three core disciplines: data science and digital technologies in nuclear security and nonproliferation, precision environmental analysis for enhanced nuclear nonproliferation vigilance and emergency response, and emerging technologies. They will be advanced by research projects in novel radiation detectors, algorithms, testbeds, and digital twins.

“What we're trying to do is bring those emergent technologies that are not implemented right now to fruition,” said Anna Erickson, Woodruff Professor and associate chair for research in the George W. Woodruff School of Mechanical Engineering, who leads both grants. “We want to understand what's ahead in the future for both the technology and the threats, which will help us determine how we can address it today.” 

While half the original collaborators remain, Erickson sought new institutional partners for their research expertise, including Abilene Christian University, University of Alaska Fairbanks, Stony Brook University, Rensselaer Polytechnic Institute, and Virginia Commonwealth University. Other university collaborators include the Colorado School of Mines, the Massachusetts Institute of Technology, Ohio State University, Texas A&M University, the University of Texas at Austin, and the University of Wisconsin–Madison.  

National lab partners are the Argonne National Laboratory, Brookhaven National Laboratory, Idaho National Laboratory, Lawrence Berkeley National Laboratory, Lawrence Livermore National Laboratory, Los Alamos National Laboratory, Nevada National Security Site, Oak Ridge National Laboratory, Pacific Northwest National Laboratory, Princeton Plasma Physics Laboratory, Sandia National Laboratories, and Savannah River National Laboratory.

The partners, along with the other NNSA Consortia, gathered at Texas A&M in June to present the new results of the research — NNSA DNN R&D University Program Review — and the kickoff will be hosted in Atlanta in February 2025. More than 300 collaborators, including 150 students, met for four days to share their research and develop new partnerships. 

Engaging students in research in the nuclear nonproliferation field is a key part of the award. The plan is to train over 50 graduate students, provide internships for graduate and undergraduate students, and offer faculty-student lab visit fellowships. This pipeline aims to develop well-rounded professionals equipped with the expertise to tackle future nonproliferation challenges.

“Because nuclear proliferation is a multifaceted problem, we try to bring together people from outside nuclear engineering to have a conversation about the problems and solutions,” Erickson said.

“One of the biggest accomplishments of ETI 1.0 is this incredible relationship that our university PIs have been able to forge with national labs,” she said. “Over five years, we've supported over 70 student internships at national labs, and we have already transitioned a number of Ph.D. students to careers at national labs.” 

As the consortium efforts continue, the team looks forward to the next phase of engagement with government, university, and national lab partners.

“With a united team and a focus on cutting-edge technologies, the ETI 2.0 consortium is poised to break new ground in nuclear nonproliferation,” Erickson said. “Collaboration is the fuel, and innovation is the engine.”