Georgia Tech Supports Panama’s National AI Strategy Development Image

In a bold step to advance AI across Latin America, Georgia Tech is helping Panama develop its first National Artificial Intelligence Strategy—leveraging world-class research, global collaboration, and human-centered design.

In partnership with Panama’s National Secretariat of Science, Technology and Innovation (Secretaría Nacional de Ciencia, Tecnología e Innovación, or SENACYT) and Georgia Tech Panama, Tech AI the AI Hub at Georgia Tech co-led a series of multisectoral workshops in Panama City on July 7–8. The initiative convened voices from government, academia, civil society, and the private sector to co-create an ethical, inclusive and forward-looking roadmap for AI in Panama.

We’re moving forward with one of the most exciting and important processes for Panama’s future: the development of our National Artificial Intelligence Strategy,” said Franklin A. Morales, Head of International Technical Cooperation Panama's Secretariat for Science, Technology and Innovation at SENACY, in a public statement. “Georgia Tech’s expertise is helping us shape a strategy that’s both ambitious and grounded in global best practices.

 The workshops were facilitated by Pascal Van Hentenryck, Director of Tech AI, the AI Hub at Georgia Tech and the NSF-funded AI Institute for Advances in Optimization (AI4OPT), and Tim Brown, Academic Program Director for AI at Georgia Tech Professional Education. Through interactive working groups, participants assessed Panama’s AI landscape, identified key challenges and opportunities, and helped lay the foundation for long-term national impact.

 In a public statement, Van Hentenryck noted:

We had the honor to spend three days in Panama working on their National AI Strategy with SENACYT, Georgia Tech Panama, and so many stakeholders who contributed their expertise, talent, and time. More to come, obviously. And thank you to the teams at SENACYT, Georgia Tech Panama, and Tech AI at Georgia Tech for an amazing organization.

SENACYT’s vision for Panama’s AI future emphasizes the role of technology in advancing opportunity and improving lives. “The future is not something we wait for—it’s something we build together,” Morales added in a separate public statement.

Additional contributions from leaders across Panama’s innovation ecosystem emphasized the importance of developing homegrown talent, applying AI in high-impact sectors like health and education, and serving as a regional testbed for responsible AI solutions.

 “This goes beyond technology. It’s about how we use artificial intelligence to improve people’s lives, make our systems more efficient, and elevate Panamanian talent,” shared a representative from Escala Latam. “We have a big opportunity: to train local talent, to scale responsible solutions, and to build, from Panama, solutions with global impact.”

 The initiative reflects Georgia Tech’s broader commitment to advancing AI as a public good.

 Through Tech AI and partnerships like this one, the Institute helps governments, industries, and communities around the world design AI strategies that are technically sound, globally relevant, and locally empowering.

“Artificial intelligence has been identified by SENACYT as a critical and emerging technology that requires urgent action to maximize its impact on the country’s economy, innovation capacity, and competitiveness,” said Eduardo Ortega Barría, National Secretary of Science, Technology and Innovation. “That’s why the National AI Strategy we are developing prioritizes broad and participatory reflection—this is a crucial step toward building a shared vision.”

As nations worldwide navigate the rise of artificial intelligence, Georgia Tech stands at the forefront, helping build AI strategies that are not only technically advanced but fundamentally human-centered.

 

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The public is also invited to shape the strategy. SENACYT launched a National Artificial Intelligence Survey—available through July 31 via www.SENACYT.gob.pa; SURVEY and SENACYT’s social media—to collect ideas, questions, and concerns from residents across Panama. (The survey includes 16 questions and is open to all residents of Panama—both nationals and foreigners. Its purpose is to gather perceptions, concerns, and opportunities to be considered in the national strategy. The survey will remain open until July 31, 2025).

 

About Tech AI


Tech AI is Georgia Tech’s interdisciplinary AI research and policy hub, bringing together expertise in optimization, robotics, ethics, education, and public-sector applications. With a mission to advance AI for social good, Tech AI helps partners across the globe design and deploy trustworthy, scalable AI systems.

 

About SENACYT


The National Secretariat of Science, Technology and Innovation (SENACYT) is an autonomous institution whose mission is to make science and technology tools for the sustainable development of Panama. Our projects and programs focus on advancing the country’s scientific and technological capabilities to close inequality gaps and promote equitable development that improves quality of life for all Panamanians.

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Breon Martin

AI Marketing Communications Manager

Georgia Tech AI Tool Cuts Supply Chain Planning from Hours to Minutes Article Image

Researchers at Georgia Tech have developed a new artificial intelligence tool that dramatically improves how companies plan their supply chains, cutting down the time and cost it takes to generate complex production and inventory schedules. 

The tool, known as PROPEL, combines machine learning with optimization techniques to help manufacturers make better decisions in less time. It was created by researchers at the NSF AI Institute for Advances in Optimization, or AI4OPT, based at Georgia Tech under Tech AI (the AI Hub at Georgia Tech).

The technology is already being tested on real-world supply chain data provided by Kinaxis, a Canada-based company that supplies planning software to global manufacturers in industries ranging from automotive to consumer goods.

Vahid Eghbal Akhlaghi, senior research scientist at Kinaxis and former postdoctoral fellow at AI4OPT and the H. Milton Stewart School of Industrial and Systems Engineering (ISyE) at Georgia Tech, said, “Our industry partner has been instrumental in shaping PROPEL’s capabilities. By validating the approach with real operational data, we ensured it addresses true bottlenecks in supply chain planning.”

"PROPEL represents a leap forward in how we tackle massive, complex planning problems," said Pascal Van Hentenryck, lead researcher, the director of Tech AI and the NSF AI4OPT Institute, and the A. Russell Chandler III Chair and Professor at Georgia Tech with appointments in the colleges of engineering and computing. "By combining supervised and reinforcement learning, we can make near-optimal industrial-scale decisions, an order of magnitude faster."

Traditional supply chain planning problems are typically solved using mathematical models that require immense computing power—often too much to meet real-time business needs. PROPEL, short for Predict-Relax-Optimize using LEarning, reduces this burden by teaching the AI model to first eliminate irrelevant decisions and then fine-tune the solution to meet quality standards.

Reza Zandehshahvar, one of the paper’s co-authors and postdoctoral fellow with the NSF AI4OPT and the H. Milton Stewart School of Industrial and Systems Engineering (ISyE) at Georgia Tech, said the breakthrough lies not just in the AI algorithms but in how they're trained and deployed at scale.

“Many AI models struggle when applied to problems with millions of variables. PROPEL was built from the ground up to handle industrial complexity, not just academic examples,” Zandehshahvar said. “We’re seeing real improvements in both solution speed and quality.”

 In trials using Kinaxis’ historical industrial data, PROPEL achieved an 88% reduction in the time needed to find a high-quality plan and improved solution accuracy by more than 60% compared to conventional methods.

While many AI methods in supply chain rely on simulated data or simplified models, PROPEL’s performance has been validated using real-world scenarios, ensuring its reliability in high-stakes operational settings.

The Georgia Tech team says PROPEL could benefit industries that manage large, multi-tiered production networks, including pharmaceuticals, electronics, and heavy manufacturing. The researchers are now exploring partnerships with additional companies to deploy PROPEL in live environments.

Access the abstract on arXiv.

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Breon Martin

AI Marketing Communications Manager

Georgia Tech Featured in National Report on AI-Ready Campuses Article Image

Georgia Tech has been recognized in a new IDC white paper, A Blueprint for AI‑Ready Campuses: Strategies from the Frontlines of Higher Education, as a national leader in deploying artificial intelligence across higher education. The report, published in partnership with Microsoft, highlights Georgia Tech’s comprehensive approach to integrating AI into teaching, research, and campus operations.

The Institute is one of only four U.S. universities featured in the report, joining Auburn University, Babson College, and the University of North Carolina at Chapel Hill.

“AI isn’t a single system or application—it’s a new foundation for how we work, teach, and learn,” said Leo Howell, Georgia Tech’s chief information security officer. “Our goal is to expose people to as many tools as possible, creating an ‘AI for All’ strategy that ensures everyone at Georgia Tech can leverage AI to enhance their work and learning experiences.”

Georgia Tech’s approach centers on a “persona-based model,” tailoring AI tools and resources to meet the needs of students, faculty, researchers, and administrators. That personalized approach, according to the report, is what makes Georgia Tech’s efforts both scalable and sustainable.

The white paper also emphasizes the importance of industry partnerships in Georgia Tech’s strategy. Through collaborations with Microsoft, OpenAI, and NVIDIA, the Institute is deploying advanced AI technologies while preparing students for the demands of an AI-driven workforce.

Georgia Tech’s success lies in its flexibility, the report notes. The Institute tests AI tools through targeted pilots, gathers user feedback, and rapidly iterates to improve outcomes. This adaptive mindset is recommended as a best practice for other institutions navigating their own AI transformation.

The full IDC white paper is available for download here.

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Breon Martin

AI Marketing Communications Manager

Photo of Silicon-on-insulator (SOI) wafer

Silicon-on-insulator (SOI) wafer used in a multi-chip module featuring 3D optical interconnects. (Photo: Allison Carter)

A schematic illustration of a multi-chip structure with 3D optical routing.

A schematic illustration of a multi-chip structure with 3D optical routing. The key parts of Adibi's proposed system are: 1) multi-layer planar waveguides, 2) free-form couplers, and 3) a dense vertical waveguide array.

Professor Ali Adibi in front of testing equipment for his 3D optical routing system.

By combining advanced optical techniques, Professor Ali Adibi’s 3D optical routing systems looks to enable vertical chip integration in a way not previously achieved. (Photo: Allison Carter)

The future of computing is lit, literally. 

As microchips grow more complex and data demands intensify, traditional electrical connections are hitting their limits. Speed is king in today’s digital systems, but a major bottleneck remains in how quickly information can move between components like processors and memory. 

This lag is one of the most pressing challenges in advanced hardware design. While processors continue to accelerate, the links that connect them can't keep pace. 

Georgia Tech researcher Ali Adibi is addressing this problem with $5.3 million in funding over three years from the Defense Advanced Research Projects Agency (DARPA). His project is part of DARPA’s Heterogeneous Adaptively Produced Photonic Interfaces (HAPPI) program, which aims to dramatically boost the speed and density of data transmission within microsystems by using light instead of electricity. 

“Optical solutions are highly advantageous for providing the required data rates and power consumptions, and our project is formed to address the most important challenges for achieving the system-level performance,” said Adibi, a professor and Joseph M. Pettit Chair in the School of Electrical and Computer Engineering

The project brings together a multidisciplinary team, including collaborators from the Massachusetts Institute of Technology, University of Florida, NY CREATES, and NHanced Semiconductors, Inc.

Going Vertical 

Unlike traditional optical communication, which connects systems across distances, this project focuses on enabling ultra-fast, low-loss communication withinelectronic systems. 

The key innovation is vertically connecting electronic chips in a compact stack. This design helps overcome the limitations of planar optical routing geometries (layouts that guide light horizontally across a chip) which are often not compatible with the dense, 3D chip architectures needed for next-generation computing. 

Adibi’s team is developing a novel 3D optical routing system that can transmit data with minimal loss, high bandwidth, and compact components. The system is designed to scale to large arrays of interconnected chips with minimal interference between data channels.

Smarter Design with Machine Learning 

At the heart of the project is the use of machine learning (ML) to help design and optimize the light-based communication system.  

ML is used to shape and fine-tune the tiny structures that guide light through and between chips. This includes finding the best sizes, shapes, and layouts for components like couplers and waveguides, so they can be made smaller, work more efficiently, and fit into dense chip layouts.  

“Designing a complete, scalable 3D optical routing structure involves innumerable variables,” Adibi said. “Machine learning helps us navigate that complexity and find solutions that would be nearly impossible to identify manually.” 

Tiny "Mirrors"

Another key innovation involves specialized optical structures, or what Adibi refers to as “artificial mirrors”.

The tiny, precisely shaped structures, called metagratings, are embedded in the chip material to redirect light vertically between layers with minimal loss. These components are designed to guide light efficiently in tight spaces, helping connect stacked chips without losing signal strength. 

“Imagine light traveling through a chip and suddenly being redirected straight up. That’s the kind of precise control we’re achieving,” Adibi explained. 

These innovations, along with advanced techniques for building vertical light paths through thick silicon layers and new packaging solutions that keep components precisely aligned, have shown promise on their own. But combining them is what enables dense, high-speed, low-loss communication between vertically stacked chips, something that no system has achieved before, according to Adibi. 

“As with any complex system, success depends on how well everything is structured and optimized,” he said. “Once everything is in alignment, data can move faster, more efficiently, and with less energy consumption for communicating each bit of data.”


About the Research
This research is supported by the Defense Advanced Research Projects Agency (DARPA) Heterogeneous Adaptively Produced Photonic Interfaces (HAPPI) program. Notice ID DARPA-SN-24-105.

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Dan Watson

Seo-Yul Kim and Ryan Lively

Postdoctoral researcher Seo-Yul Kim and Professor Ryan Lively of Georgia Tech's School of Chemical and Biomolecular Engineering

Researchers at Georgia Tech’s School of Chemical and Biomolecular Engineering (ChBE) have developed a promising approach for removing carbon dioxide (CO₂) from the atmosphere to help mitigate global warming.

While promising technologies for direct air capture (DAC) have emerged over the past decade, high capital and energy costs have hindered DAC implementation.

However, in a new study published in Energy & Environmental Science, the research team demonstrated techniques for capturing CO₂ more efficiently and affordably using extremely cold air and widely available porous sorbent materials, expanding future deployment opportunities for DAC.

Harnessing Already Available Energy

The research team – including members from Oak Ridge National Laboratory in Tennessee and Jeonbuk National University and Chonnam National University in South Korea – employed a method combining DAC with the regasification of liquefied natural gas (LNG), a common industrial process that produces extremely cold temperatures.

LNG, which is a natural gas cooled into a liquid for shipping, must be warmed back into a gas before use. That warming process often uses seawater as the source of the heat and essentially wastes the low temperature energy embodied in the liquified natural gas. 

Instead, by using the cold energy from LNG to chill the air, Georgia Tech researchers created a superior environment for capturing CO₂ using materials known as “physisorbents,” which are porous solids that soak up gases.

Most DAC systems in use today employ amine-based materials that chemically bind CO2 from the air, but they offer relatively limited pore space for capture, degrade over time, and require substantial energy to operate effectively. Physisorbents, however, offer longer lifespans and faster CO₂ uptake but often struggle in warm, humid conditions.

The research study showed that when air is cooled to near-cryogenic temperatures for DAC, almost all of the water vapor condenses out of the air. This enables physisorbents to achieve higher CO₂ capture performance without the need for expensive water-removal steps.

“This is an exciting step forward,” said Professor Ryan Lively of ChBE@GT. “We’re showing that you can capture carbon at low costs using existing infrastructure and safe, low-cost materials.”

Cost and Energy Savings

The economic modeling conducted by Lively’s team suggests that integrating this LNG-based approach into DAC could reduce the cost of capturing one metric ton of CO₂ to as low as $70, approximately a threefold decrease from current DAC methods, which often exceed $200 per ton.

Through simulations and experiments, the team identified Zeolite 13X and CALF-20 as leading physisorbents for this DAC process. Zeolite 13X is an inexpensive and durable desiccant material used in water treatment, while CALF-20 is a metal-organic framework (MOF) known for its stability and CO2 capture performance from flue gas, but not from air.

These materials showed strong CO₂ adsorption at -78°C (a representative temperature for the LNG-DAC system) with capacities approximately three times higher than those found in amine materials that operate at ambient conditions. They also released the captured and purified CO₂ with low energy input, making them attractive for practical use.

“Beyond their high CO2 capacities, both physisorbents exhibit critical characteristics such as low desorption enthalpy, cost efficiency, scalability, and long-term stability, all of which are essential for real-world applications,” said lead author Seo-Yul Kim, a postdoctoral researcher in the Lively Lab.

Leveraging Existing Infrastructure

The study also addresses a key concern for DAC: location. Traditional systems are often best suited for dry, cool environments. But by leveraging existing LNG infrastructure, near-cryogenic DAC could be deployed in temperate and even humid coastal regions, greatly expanding the geographic scope of carbon removal.

“LNG regasification systems are currently an untapped source of cold energy, with terminals operating at a large scale in coastal areas around the world,” Lively said. “By harnessing even just a portion of their cold energy, we could potentially capture over 100 million metric tons of CO₂ per year by 2050.”

As governments and industries face increasing pressure to meet net-zero emissions goals, solutions like LNG-coupled near-cryogenic DAC offer a promising path forward. The next steps for the team include continued refinement of materials and system designs to ensure performance and durability at larger scales.

“This is an exciting example of how rethinking energy flows in our existing infrastructure can lead to low-cost reductions in carbon footprint,” Lively said.

The study also demonstrated that an expanded range of materials could be employed for DAC. While only a small subset of materials can be used at ambient temperatures, the number that are viable grows substantially at near-cryogenic temperatures.

“Many physisorbents that were previously dismissed for DAC suddenly become viable when you drop the temperature,” said Professor Matthew Realff, co-author of the study and professor at ChBE@GT. “This unlocks a whole new design space for carbon capture materials.”

Citation: Seo-Yul Kim, Akriti Sarswat, Sunghyun Cho, MinGyu Song, Jinsu Kim, Matthew J. Realff, David S. Sholl, and Ryan P. Lively, “Near-Cryogenic Direct Air Capture using Adsorbents,” Energy & Environmental Science, 2025.

 
 

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Brad Dixon, braddixon@gatech.edu

Default Image: Research at Georgia Tech

As strange as it sounds, the key to understanding life’s origins might lie in artificial intelligence. At least, according to a new approached being pursued by researchers at Georgia Tech. 

School of Electrical and Computer Engineering (ECE) Assistant Professor Amirali Aghazadeh and Ph.D. student Daniel Saeedi have developed AstroAgents, an AI system that analyzes mass spectrometry data — detailed chemical compositions from meteorites and Earth soil samples — to generate novel hypotheses about the origins of life on the planet. 

What sets AstroAgents apart is its use of agentic AI. Unlike traditional AI systems that perform fixed tasks, this agentic system is designed to pursue a scientific goal. It draws from astrobiology literature, interprets complex data, and proposes original ideas that researchers can investigate further. 

Their paper, recently featured in the journal "Nature", is opening new possibilities for how scientists explore questions that have remained unanswered for decades. 

In a special Q&A, Aghazadeh and Saeedi explain how AstroAgents analyzes space chemistry, what it’s revealing about the possible origins of life on Earth, and what they hope to explore next.

READ THE Q&A

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Dan Watson

An image from Iranian television shows centrifuges lining a hall at Iran’s Natanz uranium enrichment facility in 2021. IRIB via APPEAR

An image from Iranian television shows centrifuges lining a hall at Iran’s Natanz uranium enrichment facility in 2021. IRIB via APPEAR

When U.S. forces attacked Iran’s nuclear facilities on June 21, 2025, the main target was metal tubes in laboratories deep underground. The tubes are centrifuges that produce highly enriched uranium needed to build nuclear weapons.

Inside of a centrifuge, a rotor spins in the range of 50,000 to 100,000 revolutions per minute, 10 times faster than a Corvette engine’s crankshaft. High speeds are needed to separate lighter uranium-235 from heavier uranium-238 for further collection and processing. Producing this level of force means the rotor itself must be well balanced and strong and rely on high-speed magnetic bearings to reduce friction.

Over the years, Iran has produced thousands of centrifuges. They work together to enrich uranium to dangerous levels – close to weapons-grade uranium. Most of them are deployed in three enrichment sites: Natanz, the country’s main enrichment facility, Fordow and Isfahan. Inside of these facilities, the centrifuges are arranged into cascades – series of machines connected to each other. This way, each machine yields slightly more enriched uranium, feeding the gas produced into its neighbor to maximize production efficiency.

As a nuclear engineer who works on nuclear nonproliferation, I track centrifuge technology, including the Iranian enrichment facilities targeted by the U.S. and Israel. A typical cascade deployed in Iran is composed of 164 centrifuges, working in series to produce enriched uranium. The Natanz facility was designed to hold over 50,000 centrifuges.

Iran’s early intentions to field centrifuges on a very large scale were clear. At the peak of the program in the early 2010s it deployed over 19,000 units. Iran later scaled down the number of its centrifuges in part due to international agreements such as the since scrapped Joint Comprehensive Plan of Action signed in 2015.

Legacy of Enrichment

Iran has a long history of enriching uranium.

In the late 1990s, it acquired a Pakistani centrifuge design known as P-1. The blueprints and some components were supplied via the A.Q. Khan black market network – the mastermind of the Pakistani program and a serious source of nuclear proliferation globally. Today, the P-1 design is known as IR-1. IR-1 centrifuges use aluminum and a high-strength alloy, known as maraging steel.

About one-third of the centrifuges that were deployed at the sites of the recent strike on June 21 are IR-1. Each one produces on the order of 0.8 separative work units, which is the unit for measuring the amount of energy and effort needed to separate uranium-235 molecules from the rest of the uranium gas. To put this in perspective, one centrifuge would yield about 0.2 ounces (6 grams) of 60%-enriched uranium-235 per year.

A typical uranium-based weapon requires 55 pounds (25 kilograms) of 90%-enriched uranium. To get to weapons-grade level, a single centrifuge would produce only 0.14 ounces (4 grams) per year. It requires more work to go higher in enrichment. While capable of doing the job, the IR-1 is quite inefficient.

The author explains the uranium enrichment process to CBS News.

More and Better Centrifuges

Small yields mean that over 6,000 centrifuges would need to work together for a year to get enough material for one weapon such as a nuclear warhead. Or the efficiency of the centrifuges would have to be improved. Iran did both.

Before the strike by U.S. forces, Iran was operating close to 7,000 IR-1 centrifuges. In addition, Iran designed, built and operated more efficient centrifuges such as the IR-2m, IR-4 and IR-6 designs. Comparing the IR-1 with the latest designs is like comparing a golf cart with the latest electric vehicles in terms of range and payload.

Iran’s latest centrifuge designs contain carbon fiber composites with exceptional strength and durability and low weight. This is a recipe for producing light and compact centrifuges that are easier to conceal from inspections. According to the international nuclear watchdog International Atomic Energy Agency, before the strike Iran was operating 6,500 IR-2m centrifuges, close to 4,000 IR-4 centrifuges and over 3,000 IR-6 centrifuges.

With each new generation, the separative work unit efficiency increased significantly. IR-6 centrifuges, with their carbon fiber rotors, can achieve up to 10 separative work units per year. That’s about 2.8 ounces (80 grams) of 60%-enriched uranium-235 per year. The International Atomic Energy Agency verified that the IR-6 cascades have been actively used to ramp up production of 60%-enriched uranium.

The most recent and advanced centrifuges developed by Iran, known as IR-9, can achieve 50 separative work units per year. This cuts down the time needed to produce highly enriched uranium for weapon purposes from months to weeks. The other aspect of IR-9 advanced centrifuges is their compactness. They are easier to conceal from inspections or move underground, and they require less energy to operate.

Advanced centrifuges such as the IR-9 drive up the risk of nuclear weapons proliferation significantly. Fortunately, the International Atomic Energy Agency reports that only one exists in testing laboratories, and there is no evidence Iran has deployed them widely. However, it’s possible more are concealed.

Bombs or Talks?

Uranium enrichment of 60% is far beyond the needs of any civilian use. The International Atomic Energy Agency confirmed that Iran stockpiled about 880 pounds (400 kilograms) of highly enriched uranium before the attack, and it might have escaped intact. That’s enough to make 10 weapons. The newer centrifuges – IR-2m, IR-4 and IR-6 – would need a bit over eight months to produce that much.

It’s not clear what the U.S. attack has accomplished, but destroying the facilities targeted in the attack and hindering Iran’s ability to continue enriching uranium might be a way to slow Iran’s move toward producing nuclear weapons. However, based on my work and research on preventing nuclear proliferation, I believe a more reliable means of preventing Iran from achieving its nuclear aims would be for diplomacy and cooperation to prevail.The Conversation

 

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

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Authors:

Anna Erickson, professor of Nuclear and Radiological Engineering, Georgia Institute of Technology

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Shelley Wunder-Smith
shelley.wunder-smith@research.gatech.edu

Tech Tower

Georgia Tech has launched two new Interdisciplinary Research Institutes (IRIs): The Institute for Neuroscience, Neurotechnology, and Society (INNS) and the Space Research Institute (SRI). 

The new institutes focus on expanding breakthroughs in neuroscience and space, two areas where research and federal funding are anticipated to remain strong. Both fields are poised to influence research in everything from healthcare and ethics to exploration and innovation. This expansion of Georgia Tech’s research enterprise represents the Institute’s commitment to research that will shape the future.

“At Georgia Tech, innovation flourishes where disciplines converge. With the launch of the Space Research Institute and the Institute for Neuroscience, Neurotechnology, and Society, we’re uniting experts across fields to take on some of humanity’s most profound questions. Even as we are tightening our belts in anticipation of potential federal R&D budget actions, we also are investing in areas where non-federal funding sources will grow and where big impacts are possible,” said Executive Vice President for Research Tim Lieuwen. "These institutes are about advancing knowledge — and using it to improve lives, inspire future generations, and help shape a better future for us all.”

Both INNS and SRI grew out of faculty-led initiatives shaped by a strategic planning process and campus-wide collaboration. Their evolution into formal institutes underscores the strength and momentum of Georgia Tech’s interdisciplinary research enterprise. 

Georgia Tech’s 11 IRIs support collaboration between researchers and students across the Institute’s seven colleges, the Georgia Tech Research Institute (GTRI), national laboratories, and corporate entities to tackle critical topics of strategic significance for the Institute as well as for local, state, national, and international communities.

"IRIs bring together Georgia Tech researchers making them more competitive and successful in solving research challenges, especially across disciplinary boundaries,” said Julia Kubanek, vice president of interdisciplinary research. “We're making these new investments in neuro- and space-related fields to publicly showcase impactful discoveries and developments led by Georgia Tech faculty, attract new partners and collaborators, and pursue alternative funding strategies at a time of federal funding uncertainty."

The Space Research Institute

The Space Research Institute will connect faculty, students, and staff who share a passion for space exploration and discovery. They will investigate a wide variety of space-related topics, exploring how space influences and intersects with the human experience. The SRI fosters a collaborative community including scientific, engineering, cultural, and commercial research that pursues broadly integrated, innovative projects.

 

SRI is the hub for all things space-related at Georgia Tech. It connects the Institute’s schools, colleges, research institutes, and labs to lead conversations about space in the state of Georgia and the world. Working in partnership with academics, business partners, philanthropists, students, and governments, Georgia Tech is committed to staying at the forefront of space-related innovation.   

 

The SRI will build upon the collaborative work of the Space Research Initiative, the first step in formalizing Georgia Tech’s broad interdisciplinary space research community. The Initiative brought together researchers from across campus and was guided by input from Georgia Tech stakeholders and external partners. It was led by an executive committee including Glenn Lightsey, John W. Young Chair Professor in the Daniel Guggenheim School of Aerospace Engineering; Mariel Borowitz, associate professor in the Sam Nunn School of International Affairs; and Jennifer Glass, associate professor in the School of Earth and Atmospheric Sciences. Beginning July 1, W. Jud Ready, a principal research engineer in GTRI’s Electro-Optical Systems Laboratory, will serve as the inaugural executive director of the Space Research Institute.

To receive the latest updates on space research and innovation at Georgia Tech, join the SRI mailing list

The Institute for Neuroscience, Neurotechnology, and Society

The Institute for Neuroscience, Neurotechnology, and Society (INNS) is dedicated to advancing neuroscience and neurotechnology to improve society through discovery, innovation, and engagement. INNS brings together researchers from neuroscience, engineering, computing, ethics, public policy, and the humanities to explore the brain and nervous system while addressing the societal and ethical dimensions of neuro-related research.

INNS builds on a foundation established over a decade ago, which first led to the GT-Neuro Initiative and later evolved into the Neuro Next Initiative. Over the past two years, this effort has culminated in the development of a comprehensive plan for an IRI, guided by an executive committee composed of faculty and staff from across Georgia Tech. The committee included Simon Sponberg, Dunn Family Associate Professor in the School of Physics and the School of Biological Sciences; Christopher Rozell, Julian T. Hightower Chaired Professor in the School of Electrical and Computer Engineering; Jennifer Singh, associate professor in the School of History and Sociology; and Sarah Peterson, Neuro Next Initiative program manager. Their leadership shaped the vision for a research community both scientifically ambitious and socially responsive.

INNS will serve as a dynamic hub for interdisciplinary collaboration across the full spectrum of brain-related research — from biological foundations to behavior and cognition, and from fundamental research to medical innovations that advance human flourishing. Research areas will encompass the foundations of human intelligence and movement, bio-inspired design and neurotechnology development, and the ethical dimensions of a neuro-connected future. 

By integrating technical innovation with human-centered inquiry, INNS is committed to ensuring that advances in neuroscience and neurotechnology are developed and applied ethically and responsibly. Through fostering innovation, cultivating interdisciplinary expertise, and engaging with the public, the institute seeks to shape a future where advancements in neuroscience and neurotechnology serve the greater good. INNS also aims to deepen Georgia Tech’s collaborations with clinical, academic, and industry partners, creating new pathways for translational research and real-world impact.

An internal search for INNS’s inaugural executive director is in the final stages, with an announcement expected soon.

Join our mailing list to receive the latest updates on everything neuro at Georgia Tech.

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Laurie Haigh
Research Communications

Prototype of an "exploding" capsule next to a syringe. The capsule can deliver medications that are typically only effective if injected.

Georgia Tech engineers have created a pill that could effectively deliver insulin and other injectable drugs, making medicines for chronic illnesses easier for patients to take, less invasive, and potentially less expensive.

Along with insulin, it also could be used for semaglutide — the popular GLP-1 medication sold as Ozempic and Wegovy — and a host of other top-selling protein-based medications like antibodies and growth hormone that are part of a $400 billion market.

These drugs usually have to be injected because they can’t overcome the protective barriers of the gastrointestinal tract. Georgia Tech’s new capsule uses a small pressurized “explosion” to shoot medicine past those barriers in the small intestine and into the bloodstream. Unlike other designs, it has no complicated moving parts and requires no battery or stored energy.

This study introduces a new way of drug delivery that is as easy as swallowing a pill and replaces the need for painful injections,” said Mark Prausnitz, who created the pill in his lab with former Ph.D. student Joshua Palacios and other student researchers. 

In animal lab tests, they showed their capsule lowered blood sugar levels just like traditional insulin injections. The researchers reported their pill design and study results DATE in the Journal of Controlled Release.

Read about the technology on the College of Engineering website.

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Joshua Stewart
College of Engineering

Jud Ready

Effective July 1, W. Jud Ready will serve as the inaugural executive director of Georgia Tech’s new Space Research Institute (SRI), which will officially launch on the same date. 

The SRI builds upon Georgia Tech’s long and distinguished history in space research and exploration. By uniting experts across disciplines — from aerospace engineering to planetary science, astrophysics, robotics, policy, the arts, and origin of life explorations — the SRI aims to create a resilient ecosystem for space research that can adapt and thrive, even in an era of fiscal uncertainty. It is composed of faculty, staff, and students whose collaborative research spans a broad spectrum of space-related topics, all deeply connected to advancing our understanding of space and its impact on the human experience.

“The launch of the SRI comes at a pivotal moment for the scientific community,” said Vice President of Interdisciplinary Research Julia Kubanek. “As the federal government proposes major cuts to funding agencies, our interdisciplinary research institutes are striving to support faculty and make them more competitive across disciplinary boundaries. This institute will publicly showcase impactful research led by Georgia Tech faculty, attract new collaborators, and pursue alternative funding strategies via philanthropic and industry partners.”

The Space Research Institute will consist of an interdisciplinary community of faculty across Georgia Tech’s schools, colleges, and the Georgia Tech Research Institute (GTRI). 

“It is an honor to be appointed executive director of the Space Research Institute,” said Ready. “My plan is to provide internal and external space researchers with access to Georgia Tech’s world class facilities and turbocharge the space activities already underway. We’re committed to empowering our existing community while forging new partnerships that will expand our reach and impact across the global space ecosystem.”

Ready, a principal research engineer in GTRI’s Electro-Optical Systems Laboratory, is the first GTRI faculty member to serve in a long-term capacity as an IRI executive director. Prior to his appointment, he served as associate director of external engagement for the Georgia Tech Institute for Matter and Systems and director of the Georgia Tech Center for Space Technology and Research (CSTAR). He is also an adjunct professor in the School of Materials Science and Engineering at Georgia Tech.

Before joining the Georgia Tech faculty, Ready worked for General Dynamics and MicroCoating Technologies. Throughout his career, he has served as PI or co-PI for grants totaling more than $25M awarded by the Army, Navy, Air Force, DARPA, NASA, NSF, NIST, DOE, other federal sponsors, industry, charitable foundations, private citizens, and the States of Georgia and Florida. His current research focuses primarily on energy capture, storage, and delivery enabled by nanomaterial design. His research has been included on three missions to the International Space Station, two others to low earth orbit, and one perpetually in heliocentric orbit (Lunar Flashlight). His future space missions include MISSE-21 to the International Space Station and SSTEF-1 to the Lunar surface. A half dozen solar cells from his past missions to the International Space Station will be included in the permanent At Home in Space exhibit opening on the Smithsonian National Air and Space Museum's 50th Anniversary.

Ready has received numerous awards and honors for his work. His most recent awards include the Class of 1934 Outstanding Innovative Use of Education Technology award in 2025 and the Outstanding Achievement in Research Program Development award in 2023, both from Georgia Tech. He also received the One GTRI Collaboration Award in 2022, which he was awarded during GTRI’s annual Distinguished Performance Awards celebration.

Additional articles of interest:

10 Questions with Jud Ready
Space Station Testing Will Evaluate Photovoltaic Materials

 

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Laurie Haigh
Research Communications