Just saying hello to someone can make all the difference in the college experience. That’s the message Lucas McCarty wants to pass on to the next generation of Yellow Jackets as he graduates with a master’s degree in mechanical engineering.   

For decades, bird flu was uncommon in the U.S., but that has changed. In the past several years, epidemics have threatened poultry and dairy cattle operations across the country. Higher egg prices, driven largely by bird flu-related supply disruptions, have cost American consumers billions of dollars in losses.

“The H5N1 strain of the bird flu, which has driven recent and current outbreaks, is a highly lethal virus that kills domestic chickens and other bird species in droves,” said David Pattie, GTRI research scientist and branch chief. “It can easily jump from birds to other animal species — and sometimes to humans.”

The research team will leverage artificial intelligence (AI) to design and test a probiotic avian flu vaccine that, if successful, could be served to chickens in their feed. Currently, vaccinating a flock means individually injecting every bird. 

“We’re focusing on live bacterial vaccines, which means the vaccine comes from living bacteria you swallow, instead of an injection,” said Mike Farrell, GTRI principal research scientist and the project’s lead investigator. 

“These probiotic vaccines would help protect birds and livestock from flu-like infections and lower the risk of those viruses spreading to humans,” he added.

In addition to Farrell and Pattie, the team includes researchers from an array of disciplines across the Institute: Faramarz Fekri, professor and John Pippin Chair in the School of Electrical and Computer Engineering; JC Gumbart, Dunn Family Professor in the School of Physics; Brian Hammer, associate professor in the School of  Biological Sciences; and Anton Bryksin, director of the Molecular Evolution Core at the Parker H. Petit Institute for Bioengineering and Bioscience. 

Building on Human Influenza Research 

The project builds on Farrell’s ongoing research into developing probiotic vaccine adjuvants for human influenza. The goal is to use probiotic bacteria — the “good bacteria” found in foods like yogurt — to help create immunity for the flu vaccine.

If the researchers can get probiotic bacteria to display pieces of the flu virus (called antigens) on their surface, then they could be swallowed like a normal probiotic pill.

“The gut is a great place for building immunity. When these bacteria reach the gut, your body would recognize the virus pieces on the bacteria and start building flu antibodies,” Farrell explained. “That way, when the chickens get exposed to flu, their immune system would already be prepared to fight it.”

Putting AI to the Test

“The idea behind this oral bird flu vaccine is to leverage artificial intelligence and the vast historical database for H5N1 available to us, because it's a very well-studied virus,” Farrell said. “There is a ton of structural data out there.” 

Gumbart is an expert in protein modeling and simulation. Part of his role is figuring out the best design for a viral protein piece (antigen) — one that looks and behaves like the real virus protein, so it triggers the right immune response. To do this, he will combine Fekri’s AI-generated predictions with computer modeling. 

“That’s where my team adds real value,” Gumbart said. “We use simulations to test how stable and realistic these protein designs are, which allows us to choose the best ones for lab experiments.”

AI has already identified new medicines and antibiotics by studying chemical databases. If the team can use AI to help design virus proteins for vaccines, it could transform how vaccines are made. 

Pattie says that any viral infectious disease with a high mortality rate has the potential to become a national security threat. “At that point, developing countermeasures becomes exceedingly important from a national security perspective,” he said.  

This is the first time several of the team members are working on poultry research. For Gumbart, the project is a full-circle moment.

“I grew up in rural Illinois, and as a kid, one of my daily chores was to take care of chickens, and I kind of hated it,” he said. “It is some sort of universal irony that I am back to taking care of chickens again.”

Building upon a multifaceted relationship, the two are bringing hydrogen fuel cell vehicles and fueling infrastructure to campus — turning Georgia Tech into one of the nation’s most prominent campus-based examples for hydrogen mobility.

“Hyundai Motor Group is proud to strengthen our collaboration with Georgia Tech as we work together to accelerate the future of clean mobility. Georgia Tech’s leadership in innovation and its commitment to developing the next generation of problem-solvers make it a natural partner in advancing technologies,” said Ken Ramírez, executive vice president and head of Global Energy and Hydrogen Business at Hyundai Motor Group. “By combining the university’s excellent research with Hyundai’s global experience, we are creating the foundation for real-world solutions that will help drive the energy transition and inspire future mobility leaders.” 

Ramírez is also a 1991 Georgia Tech graduate and a member of the Georgia Tech Advisory Board. 

“It’s very fulfilling to donate a handful of our NEXO fuel cell SUVs as part of our expanding relationship with Georgia Tech. Hydrogen-powered NEXO fuel cell vehicles will immediately serve to expand the clean mobility footprint on campus while providing real-world experiences with the cutting edge of zero-emissions transportation technology,” said Randy Parker, president and CEO, Hyundai Motor North America.

“Georgia Tech has a long history of working with industry to move breakthrough technologies from the lab into the real world. By expanding our work with Hyundai, we’re advancing hydrogen research, reducing emissions on our campus, and strengthening Georgia’s role in the future of clean mobility," Georgia Tech President Ángel Cabrera said.

How the Partnership Drives Hydrogen Innovation and Research

The partnership includes the donation of four Hyundai NEXO fuel cell electric SUVs by Hyundai Motor North America and a hydrogen electrolyzer project, which will be installed at Georgia Tech’s North Avenue Research Area, positioning Tech as one of the most visible real-world test beds for hydrogen mobility in the U.S.

The vehicles and infrastructure will support campus operations and interdisciplinary research. Key areas of focus include:

• Engineering: Exploring hydrogen-based systems and mobility solutions.
• Sustainability: Assessing the environmental benefits of hydrogen technologies.
• Energy systems: Understanding the integration of hydrogen fuel cells into current infrastructure.
• Public policy: Evaluating the regulatory and social implications of hydrogen adoption.

This initiative connects Georgia Tech’s research enterprise with campus operations, using the Institute as a living laboratory for clean transportation technologies. Faculty and students will study:

• Real-world performance of hydrogen technology.
• Infrastructure requirements for large-scale deployment.
• Environmental impacts of hydrogen energy systems.

Insights gathered from this initiative aim to inform and accelerate the widespread use of hydrogen technology in campuses, fleets, cities, and freight corridors. The initiative also supports Georgia Tech’s strategic plan, which includes the goal of expanding the use of zero-emissions vehicles powered by sustainable energy sources.

Why Is the Partnership with Georgia Tech Key to Hyundai Motor Group’s Vision? 

The collaboration between Hyundai and Georgia Tech is a testament to the power of aligning academic expertise with corporate innovation. Beyond hydrogen energy, the partnership seeks to advance innovation in the areas of:

• Autonomous driving
• Electric vehicle (EV) batteries
• Charging infrastructure
• Materials science
• Cybersecurity

In addition, Hyundai’s presence in Georgia underscores its commitment to the region. Georgia is home to the Hyundai Motor Group Metaplant America and also serves as a hub for zero-emissions transportation through HTWO Logistics, a clean logistics partnership that operates Hyundai XCIENT fuel cell heavy-duty trucks in logistics operations near Savannah. The collaboration with Georgia Tech builds on this regional foundation, reinforcing the link between education, research, and Hyundai's long-term goal of achieving carbon neutrality by 2045.

What’s Next for the Partnership?

The partnership between Hyundai and Georgia Tech represents more than an investment in research. It’s a shared effort to lead the next generation of mobility advancements. Additional announcements about the partnership’s research projects, educational programs, and vehicle deployment are expected in the coming months.

Omar Garcia Urdiales, CREATE‑X’s associate director of Learn, brings a global entrepreneurial experience to Georgia Tech: founder and CEO of a startup operating in the AWS Accelerator Loft, longtime startup coach in Europe’s major innovation hubs, lecturer across multiple universities, and an external doctoral researcher in entrepreneurship and digitalization. He’s used this background to blueprint the course’s new design.

Under his leadership, Startup Lab now anchors the Institute’s entrepreneurial pathway with a clearer structure, a unified language, and a deeper focus on reflective growth, so more Georgia Tech students can discover (and trust) their own entrepreneurial judgment.

The Foundation

“Startup Lab is not about becoming an entrepreneur, but about engaging in the unknown and adopting entrepreneurial behavior, which can be applied to all career paths,” Urdiales said. “Students become better equipped to identify problem spaces and solve them through evidence-based building.” 

The course is expanding responsibly, with six sections in Atlanta and additional global sections in France and Asia-Pacific taught by faculty trained in the CREATE-X approach. Students here benefit from a program that’s learning across borders and bringing that learning back to campus.

Start Where You Are

Urdiales emphasized that Startup Lab is built for students who are still exploring, uncertain, or are simply curious.

“Many students tell us they’re curious about entrepreneurship but feel not ready,” he said. “They worry they’re too introverted for customer interviews or assume Startup Lab is only for people with fully formed ideas. In fact, those are the most common misconceptions.”

The course’s first few weeks focus on training students to see struggles and patterns in the world. Then, they apply those skills on a team, exploring, designing, and testing a concept with real people. The nonnegotiable outcome isn’t the best idea; it’s a more confident, evidence-driven version of you. 

“Startup Lab is strengthening that self-awareness. All of us who are entrepreneurs, we don’t grow linearly. We have various iterations of how we see things,” Urdiales said. “This ability to see patterns or to see problems with customer discovery, it’s a learning process and a growth process.” 

Building Muscle Memory

Urdiales said that students won’t have a passive experience in the lab.

“To become an entrepreneur, you need to do it. You need to engage with customers. You need to get out of the building,” he said. “It gives you the ability to incorporate theoretical frameworks into practical solutions and then understand these more practical outcomes.”

Aligning with CREATE-X’s culture of continuous iteration, Urdiales is tightening the hands-on spine of the course around four simple, repeatable tools so that entrepreneurial thinking becomes muscle memory, not a one-off assignment. Students learn to:

• Elicit grounded problem stories from real people (and separate observations from interpretations).
• Make explicit strategic decisions — who you serve, what you offer, how you deliver, how you get paid — and back them with discovery evidence.
• Externalize your logic with clear Business Model Canvas snapshots (hypotheses ≠ decisions ≠ open questions).
• Design minimum viable experiments (MVEs) that can falsify assumptions, not just confirm them. 

The result is a course that rewards authentic discovery and iteration over performative polish. 

“It gives students the ability to incorporate theoretical frameworks into practical solutions,” Urdiales said. “And in a lean approach like the Business Model Canvas and value propositions — these are just tools. To know how to use them is what matters, and now we’re improving the execution.” 

Reflection as a Feature

As a part of Startup Lab, instructors integrate HaradaLite reflection throughout the semester, which helps students notice patterns of work, make small experiments, and adjust based on what’s learned. Students often worry they’re not the founder type or that their introversion will hold them back; Startup Lab reframes those worries as raw material for growth, including communication skill building and one-on-one interactions you won’t always get in higher-level courses. 

“As long as they’re listening and engaging, there’s something they can take away from it,” Urdiales said. “We’re able to show them: You’re able to pivot, you’re able to create, and you’re able to identify problems. That makes more shots on goal much more feasible.”

A Common Language Across CREATE‑X

There’s no mandated order for CREATE-X courses. Startup Lab simply makes the next steps clearer by providing a shared language and milestone structure across sections and instructors, so whatever comes next (I2P, Capstone, Launch, or an internship), you can carry forward a coherent, evidence- aware story of your work. 

“All CREATE‑X Learn sections will work with the same milestone objectives, with our own twist,” Urdiales said. “Students trained in Startup Lab are already trained in the muscles of entrepreneurship. They’re more equipped to go into Make and Launch or be a leader within their industry.”Built To Be Inclusive Across Disciplines and Needs

Startup Lab is about becoming the kind of person who can see opportunities, reason from evidence, and make better decisions when the path isn’t obvious. 

• You do not need an idea or a pre‑built team — curiosity is enough.
• You do not need special permits to enroll. Startup Lab is open to anyone ready to explore.
• You can benefit from the course before or after I2P or Capstone, since there’s no fixed order to the CREATE‑X pathway.
• Introverts are welcome. The course intentionally builds communication skills through structured, low-pressure interviews and guided interaction. 

What You’ll Actually Do 

Students in Startup Lab can expect a workshop-heavy, conversation-rich semester with weekly artifacts, scenario-based decision prompts, startup reports, and quizzes that keep you honest about what you’re learning. You’ll assemble a Continuity Pack near the end: a compact bundle of your best discovery evidence, decisions, MVEs, economics, and final story slides so your future self (or your I2P/Launch application) can pick up right where you left off. 

The course also sets norms for modern tool use. AI is welcomed as a coach and organizer, after your own baseline thinking and research, and as an enhancement of the real conversations you have. That matters because Startup Lab’s promise is that you build solid judgment under the test of uncertainty, critical to the world of today and the future that is being built. 

Jump Into Startup Lab

You don’t have to have it all figured out. If you’re a first-year student still exploring, a junior craving real-world projects, or a senior looking to stand out in interviews, Startup Lab is for you. 

Seats fill quickly across all sections — and for good reason.
This course gives you the clearest, most supportive on‑ramp into CREATE‑X, with a global methodology, a unified curriculum, and instructors who believe deeply in your potential to grow. Learn how to think entrepreneurially. See the world differently. Build the confidence that will follow you long after the semester ends.

Register for Startup Lab for Fall 2026.

 

You hear a lot of chatter in the Campus Recreation Center (CRC) — “All the weight machines are full!” “Where is the swimming pool?” “I exceeded my one-rep max today!” — but one sentence you don’t expect to hear is, “Do you want to go play video games?” 

To help find answers, researchers at the Institute for Neuroscience, Neurotechnology, and Society (INNS) are using math, data, and AI to unlock the secrets of thought. Together they are helping turn the brain’s raw electrical “noise” into real insights about how people think, move, and perceive the world.

Fair warning: Prepare your neurons for the complexity of this brain research ahead.

Building AI Like a Brain

What if artificial neurons in AI programs were arranged as they are in the brain?

AI programs would then help us understand why the brain is organized the way it is. This neuro-AI synthesis would also work faster, use less energy, and be easier to interpret. Creating such systems is the goal of Apurva Ratan Murty, an assistant professor of Psychology who is creating topographic AI models like the one above of three domains — vision, audition, and language inspired by the brain. In the near future, he predicts doctors might be able to use these patterns to predict the effects of brain lesions and other disorders. “We’re not there yet,” he says. “But our work brings us significantly closer to that future than ever before.”

Computing Thought and Movement

How cats walk keeps Chethan Pandarinath on his toes. This biomedical engineer uses sensors to analyze how two sets of feline leg muscles — flexors and extensors — are controlled by the spinal cord. Understanding how that happens could help patients partially paralyzed from spinal cord injuries, strokes, or progressive neuro-degenerative diseases get back on their feet again. “My lab is using AI tools that allow us to turn complex spinal cord activity data into something we can interpret. It tells us there’s a simple underlying structure behind the complex activity patterns,” says the associate professor.

Revealing the Brain’s Spike Patterns

“The brain is like a symphony conductor,” says Simon Sponberg. “Individual instruments have some independent control, but most of the music comes from the brain’s precise coordination of notes among the different players in the body.” This physics professor studies the fantastically fast-beating wings of the hummingbird-sized hawk moth (Manduca sexta). Its agile flight movement comes as a result of spikes in electrical activity in 10 muscles. Sponberg found something that surprised him — the brain focuses less on creating the number of spikes than in orchestrating their precise patterns over time. To Sponberg, every millisecond matters. “We are just beginning to understand how the nervous system first acquires precisely timed spiking patterns during development,” he says.

Predicting Decisions Through Statistics

Put a mouse in a maze with food far away, and it will learn to find it. But life for mice — and people — isn’t so simple. Sometimes they want to explore, only want water, or just want to go home. What’s more, animals make decisions based on their history, not just on how they feel at the moment. To dig deeper into the decision-making process, Anqi Wu, an assistant professor in the School of Computational Science and Engineering, is giving mice more options. By using a new computational framework called SWIRL (Switching Inverse Reinforcement Learning), her findings have outperformed models that fail to take historical behavior into account. “We’re seeking to understand not only animal behavior but also human behavior to gain insight into the human decision-making process over a long period of time,” she says.

Modeling the Mind’s Wiring With Math

Connectivity shapes cognition in the cerebral cortex, a layered structure in the brain. The visual cortex, in particular, processes visual data from the retina relayed through the Lateral Geniculate Nucleus (LGN) in the thalamus, and directs it to the correct cognitive domain in the brain. How it does this is the mystery that computational neuroscientist Hannah Choi wants to solve. “The big question I’m interested in is how network connectivity patterns in the architecture of the LGN are related to computations,” says this assistant math professor. To find answers, she shows mice repeated image patterns such as flower-cat-dog-house and then disrupts the pattern. The goal? To grasp how the thalamus’s nonlinear dynamical system works. If scientists and doctors better understand how brain regions are wired together, such knowledge could lead to better disease treatment.

This story was originally published through the Georgia Tech Alumni Magazine. Read the original publication here.

The following students were recognized at this year's event:

College of Computing

Donald V. Jackson Fellowship
Andrew Flaherty, Grace Kim, Sri Ranganathan Palaniappan 

Marshall D. Williamson Fellowship
Ansel Erol, Madison Steinau, Ethan Yang

Outstanding Graduate Head Teaching Assistant Award
Ghazal Mirzazadeh

Outstanding Graduate Teaching Assistant Award
Nawal Reza

Outstanding Undergraduate Head Teaching Assistant Award
Elias Lind

Outstanding Undergraduate Teaching Assistant Award
Joseph Thomas

Ivan Allen College of Liberal Arts

Academic Excellence Award for Graduating Students – Economics
Nidhi Reddy

Academic Excellence Award for Graduating Students – History and Sociology
Cate Gemmell

Academic Excellence Award for Graduating Students – International Affairs
Iris Allgrove

Academic Excellence Award for Graduating Students – Literature, Media, and Communication
Sanika Tank

Academic Excellence Award for Graduating Students – Modern Languages
Wesley Lanter

Academic Excellence Award for Graduating Students – Public Policy
Alison Eltz

College of Design

School of Architecture

AIA Medal for Academic Excellence
Elisabeth Walker

Alpha Rho Chi Medal
Nour Khalifa

School of City and Regional Planning

AICP Outstanding Student Award
Nick Albrinck

School of Industrial Design

Industrial Designers Society of America (IDSA) Student Merit Award
Ebube Maduka-Ugwu (Graduate), Adam Saint-Jacques (Undergraduate)

Scheller College of Business

Dow Chemical-P.C. McCutcheon Prize for Outstanding Student Achievement in Business
John “Ryan” Halligan

Jennifer R. and Charles B. Rewis Award for Student Excellence in Accounting
Jorge Castaneda Perez, Mallory Maples

John R. Battle Award for Student Excellence
Victor Huang, Kai Lewis

College of Sciences

The School of Earth and Atmospheric Sciences Quarter Century Award
Sophia Buettner, Daniel Lamprea, Rowan Ray, Claire Riggs

The School of Chemistry and Biochemistry Arduengo Award
Arya Akbarshahi, Ryan Wiebold

The School of Psychology Moll Davenport Award
Kate Cole

Metha Phingbodhipakkiya Memorial Scholarship
Nick Elidor

A. Joyce Nickelson and John C. Sutherland Prize
Carlos Marcio De Oliveira E Silva Filho

Roger M. Wartell and Stephen E. Brossette Award
Sara Dixon, Nikhita Subramaniarao

Robert A. Pierotti Memorial Scholarship
Zachary Beddingfield, Kate Cole, Kathleen “Katie” Griffin

College of Engineering

Aerospace Engineering

Aerospace Engineering Outstanding Senior Scholar Award
Alexander Payne

Donnell W. Dutton Outstanding Senior in Aerospace Engineering Award
Isabel Botelho

Biomedical Engineering

G.D. Jain Outstanding Senior in Biomedical Engineering Award
Neha Shahrawat

Outstanding Academic Achievement in Biomedical Engineering Award
Inho Lee

S.K. Jain Outstanding Research Award in Biomedical Engineering
Saif Khan

Chemical and Biomolecular Engineering

Chair’s Award — Outstanding Chemical and Biomolecular Junior
Hannah Reynolds

Chair’s Award — Outstanding Chemical and Biomolecular Senior
Rohan Datta

Civil and Environmental Engineering

Buck Stith Outstanding Junior Award in Civil Engineering
Juliette Bolte

Buck Stith Outstanding Junior Award in Environmental Engineering
Sarah Moreno Amezquita

Buck Stith Outstanding Senior Award in Civil and Environmental Engineering
Phoebe Ellis

School Chair’s Outstanding Senior Award in Civil Engineering
Sean Kirby

School Chair’s Outstanding Senior Award in Environmental Engineering
Bahar Banihashemi

Electrical and Computer Engineering

Computer Engineering Undergraduate Research Award
Aparupa Brahma

Electrical Engineering Undergraduate Research Award
Carlton Cort

Outstanding Computer Engineering Senior Award
Aparupa Brahma

Outstanding Electrical Engineering Senior Award
Carlton Cort

Industrial and Systems Engineering

Alpha Pi Mu Academic Excellence Award
Yubin Kim

Evelyn Pennington Outstanding Service Award
Phong Nguyen

Institute of Industrial and Systems Engineers Excellence in Leadership Award
Sujan Ganesh Kumar

Materials Science and Engineering

Polymer, Fiber, and Textile Materials (AATCC) Distinguished Senior Award
Vikas Muralidharan

School of Materials Science and Engineering Outstanding Senior Award
Jeremy Knight, Marissa Reichelscheimer

Mechanical Engineering

George W. Woodruff School of Mechanical Engineering Outstanding Scholar Award
Aleksandar Bošković

George W. Woodruff School of Mechanical Engineering School Chair’s Award
Vijay Sreenivasan

Richard K. Whitehead Jr. Memorial Awards
Owen Gil, Massimiliano Iaschi, Aastha Singh, Olivia Trask, Tarun Vinodkumar

Nuclear and Radiological Engineering

George W. Woodruff School of Mechanical Engineering Chair’s Award in Nuclear and Radiological Engineering
Colin Gold

College-Wide Awards

College of Engineering Honors Day Awards
William “Alex” Abraham, Ansley Cheng, Sierra Czubaj, Martin Jaramillo Feijoo, Kate Hennigan, Felipe Martins, Advaith Menon, Paul Pelkowski, Khue Phan, Jackson Stahl, Jared Weitkamp

Helen Grenga Outstanding Engineer Award
Haasa Gaddipati

Davidson Family Tau Beta Pi Senior Engineering Award
Michael Silas

Institute Awards

Alvin M. Ferst Leadership and Entrepreneur Scholarship Award
Samantha Bolton, Atharva Amit Lele

Communication Center Assistant of the Year Award
Lillian Ayala

Jordan Lockwood Peer Tutor of the Year Award
Julia Artigue

John H. Martinson Honors Program Outstanding Student Award
Jessica Dasilva Bonet, Esha Venkat

Georgia Tech Women’s Club Scholarships
Charlotte Marie Cooper, Sania Ali Chaudhary, Jailyn Davila, Makaylah Deshield, Clear Holley, Isabel O’Connell

Outstanding Tutor Award
Javanith Wangsiriwech

Outstanding PLUS Leader Award
Marin Alter

Outstanding Learning Assistant Award
Egan Mejia

The University System of Georgia (USG) Academic Recognition Award
Elliot Huang

Provost’s Academic Excellence Award
Carlton Cort, Elliot Huang, Nour Khalifa, Margaret Wei

Love Family Foundation Award
Caleb Adams, Marielle Frooman

View more photos on Flickr.

Georgia Tech Chapter Sigma Xi Awards

Best Faculty Paper Award

Matt T. McDowell
Professor and Carter N. Paden Jr. Distinguished Chair
College of Engineering

Jiang Zhigang
Professor
College of Sciences

Young Faculty Award

Cong “Callie” Hao
Assistant Professor and ON Semiconductor Junior Professor
College of Engineering

Omobolanle Ogunseiju
Assistant Professor
College of Design

Sustained Research Award

Kostas T. Konstantinidis
Richard C. Tucker Professor
College of Engineering

Institute Research Awards

Outstanding Achievement in Research Enterprise Enhancement

Anna Osterholm
Principal Research Scientist
College of Sciences

Outstanding Achievement in Research Innovation Award

Lakshmi “Prasad” Dasi
Rozelle Vanda Wesley Professor
College of Engineering

Outstanding Doctoral Thesis Advisor Award

Shimeng Yu
Professor
College of Engineering

Outstanding Achievement in Research Engagement and Outreach Award

Edward Botchwey
Professor
College of Engineering

Outstanding Achievement in Research Program Development Award

Human Space Exploration Team

Phillip First
Professor
College of Sciences

Masatoshi Hirabayashi
Associate Professor
College of Engineering

Brant Jones
Senior Research Scientist
College of Sciences

Julie Linsey
Professor
College of Engineering

Peter Loutzenhiser
Associate Professor
College of Engineering

Thomas Orlando — Team Leader
Regents’ Professor
College of Sciences

Frances Rivera-Hernandez
Assistant Professor
College of Sciences

Alvaro Romero-Calvo
Assistant Professor
College of Engineering

Meisha Shofner
Professor
College of Engineering

Jiang Zhigang
Professor
College of Sciences

Outstanding Achievement in Research Program Impact Award

Georgia Artificial Intelligence in Manufacturing (AIM)

Clarence Anthony
Workforce Development Manager
Enterprise Innovation Institute

John Avery
Director
Advanced Technology Development Center

Justin Biddle
Associate Professor
Ivan Allen College of Liberal Arts

David Bridges
Vice President
Enterprise Innovation Institute

Zach Brunson
Research Engineer I
College of Engineering

Matt Carroll
Research Coordinator I
Georgia Tech Manufacturing Institute

Camille Cowans
Senior Project Manager
Georgia AIM

Donna Ennis
Vice President
Enterprise Innovation Institute

Steven Ferguson
Principal Research Scientist
Enterprise Innovation Institute

Chris Gaffney
Professor of the Practice
College of Engineering

Tasheé Hawkins
Program Support Coordinator
Enterprise Innovation Institute

Leigh Hopkins
Assistant Director
Center for Economic Development Research

Paul Joseph
Principal Research Scientist
Office of Commercialization

Andrew Krejci
Project Manager
Enterprise Innovation Institute

Danyelle Larkin
Program Director
Center for Education Integrating Science, Mathematics, and Computing

Kristen Morales
Marketing Strategist
Georgia AIM

Jennifer Pasley
Senior Project Manager
Enterprise Innovation Institute

Kyle Saleeby
Research Engineer II
Georgia Tech Manufacturing Institute

Ryan Scott
Community Engagement Manager
Georgia AIM

Steven Sheffield
Senior Assistant Director of Research
Georgia Tech Manufacturing Institute

Aaron Stebner — Team Leader
Eugene C. Gwaltney Jr. Chair in Manufacturing
College of Engineering

Weston Straka
Research Scientist II
Institute for Matter and Systems

Stephan Turano
Senior Research Engineer
Institute for Matter and Systems

Eric Vogel
Executive Director, Institute for Materials, and Hightower Professor of Materials Science and Engineering
Institute for Matter and Systems

Jarod Weber
Research Program Manager
Georgia Tech Manufacturing Institute

ANAK Awards

Outstanding Staff ANAK Award

Steve Place
Campus Sustainability Project Manager
Office of Sustainability

Outstanding Faculty ANAK Award

Rebecca Watts Hull
Assistant Director, Faculty Development for Sustainability Education Initiatives
Center for Teaching and Learning

Staff Awards

Leadership in Action Award

Sirocus Barnes
Director of Expanded Learning Programs
Center for Education Integrating Science, Mathematics, and Computing

One Giant Leap Award

Jason Gregory
Institute Landscape Architect
Infrastructure and Sustainability

Putting Students First Award

Jake Tompkins
Mechanical Engineer III
College of Engineering

Spirit of Georgia Tech Award

Robyn Crutchfield
Project Support Specialist Senior
Housing and Residence Life

Lettie Pate Whitehead Evans Gender Equity Award 

Susan Lozier
Betsy Middleton and John Clark Sutherland Dean’s Chair
College of Sciences

Undergraduate Education Awards 

Outstanding Undergraduate Academic Advisor – Primary Role 

Kathryn Wilkinson
Academic Advisor
College of Engineering

Outstanding Undergraduate Academic Advisor – Faculty Advisor 

Haley Steele
Director of Communication, Undergraduate Degree Program in Neuroscience
College of Sciences

Complete College Georgia Champion 

Beatriz Rodriguez
Assistant Dean, Director of Engagement and Operations
Ernest Scheller Jr. College of Business

Excellence in High-Impact Practices and Experiential Learning Departmental Award

Gregory D. Durgin
Professor
College of Engineering

Shanthi Rajaraman
Senior Academic Professional
Opportunity Research Scholars’ Program

Steven A. Denning Awards for Global Engagement

Denning Faculty Award for Global Engagement

Stéphanie Boulard
Director of French Program, Professor of French Literature and Visual Arts
Ivan Allen College of Liberal Arts

Denning Staff Award for Global Engagement

Tara Berry
Academic Program Coordinator II
College of Computing

Center for Teaching and Learning Awards

Junior Faculty Teaching Excellence Award

Ebenezer Fanijo
Assistant Professor
College of Design

Lily Turaski
Lecturer
College of Engineering

Curriculum Innovation Award

Mary Peek
Principal Academic Professional
College of Sciences

Innovation in Co-Curricular Education Award

Zerrin Ondin-Fraser
Research Scientist II
College of Design

Scholarship of Teaching and Learning Award

Kyoko Masuda
Professor
Ivan Allen College of Liberal Arts

Teaching Excellence Award in Online Teaching

Danielle Geary
Senior Lecturer
Ivan Allen College of Liberal Arts

Undergraduate Educator Award

Tiffiny Hughes-Troutman
Professor of the Practice
College of Sciences

Faculty Award for Academic Outreach

Shalu Suri
Senior Academic Professional
College of Engineering

Faculty Honors Committee Awards

Junior Faculty Outstanding Undergraduate Research Mentor Award

Farzaneh Najafi
Assistant Professor
College of Sciences

Senior Faculty Outstanding Undergraduate Research Mentor Award

Brian Gunter
Associate Professor
College of Engineering

Outstanding Lifetime Learning Award

Joel Sokol
Director, Master of Science in Analytics, and Harold E. Smalley Professor
College of Engineering

Class of 1934 Outstanding Service Award

Dima Nazzal
Associate Chair for Academic Administration
College of Engineering

Class of 1934 Outstanding Interdisciplinary Activities Award

Jennifer Singh
Associate Chair and Associate Professor
Ivan Allen College of Liberal Arts

Class of 1940 W. Roane Beard Outstanding Teacher Award

Ellen Yi Chen Mazumdar
Assistant Professor, Woodruff Faculty Fellow
College of Engineering 

Class of 1940 W. Howard Ector Outstanding Teacher Award

Pamela Pollet
Principal Academic Professional
College of Sciences

Class of 1934 Distinguished Professor Award

Mark Prausnitz
Regents’ Professor and Regents’ Entrepreneur, J. Erskine Love Jr. Chair in Chemical and Biomolecular Engineering
College of Engineering

This is the third time the class has been offered, but the first to include an extended community-based learning experience. 

“The students were able to see firsthand how concepts discussed in the classroom translated into real infrastructure decisions shaping vulnerable coastal communities,” says Robel, an associate professor in the School of Earth and Atmospheric Sciences.

In previous years, the course relied on guest speakers, often remote, to provide real-world insights. Robel and Macedo, an associate professor in the School of Civil and Environmental Engineering, advocated for this year’s field trip to give students direct exposure to how the concepts taught in class are used in coastal communities.  

“Places like Savannah, Tybee Island, and Charleston aren’t planning for a distant future; they’re making real infrastructure decisions right now,” explains Robel.

Coastal Case Studies

On Tybee Island, city leaders and U.S. Army Corps of Engineers staff discussed with students how to balance tourism, environmental protection, and shoreline preservation. Site visits highlighted tide gates and living shorelines as flood mitigation strategies. 

Then, in Savannah, students met with city staff to explore challenges facing historic, low-lying cities and visited the Pin Point Heritage Museum where Gullah-Geechee community leaders spoke about the cultural, environmental, and equity dimensions of flood planning. 

The trip concluded in Charleston with discussions led by the city’s chief resilience officer and tours of the Low Battery Seawall and a neighborhood pump station, illustrating how flood infrastructure can serve both functional and public-facing roles. Students also visited JMT, the engineering firm behind several of the projects studied, where engineers discussed design trade-offs and career paths in coastal and municipal infrastructure.

Regional Risks, Real Responses

“The regional context is especially important because Georgia Tech graduates are heavily concentrated in the Southeast, and many go on to careers designing, managing, or approving infrastructure projects in coastal communities,” says Robel. “With a more concentrated vulnerability to sea-level rise in the Southeast than any other part of the United States, the most potential flooding is likely to occur here in the Atlantic Southeast and Gulf Coast.”

He adds that “if we’re educating the scientists, engineers, and decision-makers who will be working in these communities, they must understand the practicalities of flood resilience and how to make informed decisions based on the best current science.”

Although the idea for the field experience had been years in the making, it became feasible only recently with support from an internal grant on sustainability education and community-based learning administered by the Center for Sustainable Communities Research and Education. Robel also emphasized the importance of long-standing relationships with coastal communities and governments in making the trip a success.

“We reached a point where we had both the resources and the relationships to make the experience meaningful,” he shares.

Career Context

The students met professionals from a wide range of career paths, including federal and local government agencies, private engineering firms, and municipal stormwater departments. 

“A major goal of the trip was giving students the chance to see what career paths in coastal resilience really look like,” says Robel. “Those conversations helped students understand not just the technical work, but also the financing, politics, and community concerns that shape infrastructure decisions — parts of the job that are harder to capture in the classroom.”

Students enjoyed the opportunity to get real-world context:

“This trip made me reconsider my post-graduation plans. I used to think the geology industry was just oil and gas, but this trip showed me different ways I can apply my skills to help the environment as well as local communities in their efforts to adapt to sea-level rise concerns,” says Mandala Pham, a Ph.D. student studying geophysics.

“The most valuable part of the experience was observing sea-level rise mitigation infrastructure in-person, and the trip was a great experience overall to make new friends and gain valuable experiences,” adds Alexander Brison, a fourth-year environmental engineering major.

By grounding classroom concepts in real places and real decisions, the Spring Break field experience reinforced the course’s goal: preparing students to engage thoughtfully with the challenges coastal communities are already facing.

Lloyd George was back in the gym just two weeks after completing 2,002 muscle-ups in 24 hours in July of 2025, which broke the world record. He immediately started training for an even more challenging feat—the world record for the most muscle-ups done on a gymnastic ring in 8, 12, and 24 hours.

On Sunday, April 12, 2026, he surpassed all three, completing 900 ring muscle-ups in 8 hours, 1,100 in 12 hours, and 1,320 in 24 hours. (The records are unofficial until they can be reviewed by Guinness World Records.)

“I’ve sort of got a recipe for these world records now,” says Lloyd George, who used the challenge to raise money for the Wounded Veterans Relief Fund, a charity that helps veterans receive dental care. 

Since the summer of 2025, he steadily increased his training volume, pushing past 17,000 total ring muscle-ups, and completing longer sessions, including a six-hour effort of 722 ring muscle-ups.

A Harder Variant of A Muscle-Up

Ring muscle-ups are a more demanding variant of the standard bar muscle-up. The sway of the rings introduces instability and makes muscles work harder when the ropes move. The grip is also different. 

“You wrap your wrists around the rings almost like you’re trying to arm wrestle them,” Lloyd George says. Put in physics terms—a field he knows well as a doctoral student at Duke University researching trapped ions for quantum computing—the rings introduce four more degrees of freedom. 

The Math Behind His Three Attempts

His decision to attempt three world records came down to simple math. The current 8-hour record is 843, while the 24-hour record is 1,308. No formal record exists for the 12-hour category. 

“I realized that if I do two ring muscle-ups every minute, at that pace I’d get to 960 in 8 hours. There isn’t a 12-hour record, and there are for other calisthenic records, so I thought I could set that one, too,” he says. 

When he broke the bar muscle-up record in 2025, he didn’t know how challenging the final hours would be. The last 50 reps were grueling, and with the support of his friends and family who cheered him on, he pushed past his limits. Knowing what the challenge will feel like changes his mental preparation this time around.

“I think you have to play with the mental game and really ask yourself, ‘Why am I doing this?’ especially on those difficult training days. For those, I think about the charity I’m trying to raise money for that I believe in, and that this is one more opportunity to challenge myself.” 

Working with collaborators at University College London (UCL), Georgia Tech researchers used computer models to reveal how, during early development, forces generated by cells physically pull the neural tube closed — like a drawstring. This discovery offers new insight into a critical process that, when disrupted, can result in severe birth defects such as spina bifida.

“Understanding a complex developmental process like neural tube closure requires a highly interdisciplinary approach,” said Shiladitya Banerjee, an associate professor in the School of Physics. “By combining advanced biological imaging with theoretical physics, we were able to uncover the mechanical rules that drive cells to close the tube. My lab builds computational models to uncover the physical rules of living systems. The neural tube is an ideal focus because its formation requires incredible mechanical coordination.”

The researchers presented their findings in Current Biology. 

Closing the Gap

The UCL team studied mouse embryos, which develop similarly to humans, and Georgia Tech researchers used that data to construct their models. From the data, they identified the fundamental physics mechanism that enables neural tube closure in part of the brain. This mechanism, called a “purse string,” is made of actin, a pivotal protein that forms a cell’s skeletal structure. As the purse strings tighten, the tube closes.

“These actin molecules are very important because they give rigidity and shape to cells,” Banerjee said.

“During neural tube closure, actin filaments form a ring around the opening and engage molecular motors — proteins that generate forces inside cells,” he said. “As these motors pull on the actin, they generate tension that tightens the ring and draws the tube closed.”

Stretching to Fit

As the actin ring tightens, cells stretch and elongate, causing them to align and move together in a synchronized pattern, like a school of fish. This coordination allows the cells to move faster and more efficiently, increasing tension and driving a feedback loop that helps seal the neural tube.

The team built a computer model to show how this feedback loop leads to successful neural tube formation. Further research using the model could help explain why the neural tube fails to close.

“Physics-based modeling of cell and tissue mechanics allows us to connect the dots between developmental stages in a way that is both robust and quantitative, simulating experiments that are impossible in biological tissues,” said Gabriel Galea, the study co-author and UCL group leader. “In this case, it allowed us to explain how a cell’s mechanical experience impacts its current and future shapes during a critical step of brain development.”

Beyond neural tube development, the findings highlight the power of physics-based modeling to explain complex biological processes that can’t be observed directly. The researchers say this approach could be applied to other stages of human development where forces, motion, and timing are just as critical.

The computational research at Banerjee Lab is funded by the National Institute of General Medical Sciences

Fernanda Pérez-Verdugo, Eirini Maniou, Gabriel L. Galea, Shiladitya Banerjee, “Mechanosensitive feedback organizes cell shape and motion during hindbrain neuropore morphogenesis,” Current Biology, 2026.

DOI: 10.1016/j.cub.2026.02.068 

The paper, The Borderlands of Foldability: Lessons from Simplified Proteins, is a meta-analysis of six decades of protein research and reveals that ancient proteins may have been far more complicated and dynamic than previously thought. 

Recently published in the journal Trends in Chemistry, the study includes Georgia Tech researchers Lynn Kamerlin, professor in the School of Chemistry and Biochemistry and Georgia Research Alliance Vasser-Woolley Chair in Molecular Design, and Quantitative Biosciences Ph.D. candidate Alfie-Louise Brownless.

Co-authors also include Institute of Science Tokyo graduate student Koh Seya and Liam M. Longo, who serves as a specially appointed associate professor at Science Tokyo and as an affiliate research scientist at the Blue Marble Space Institute of Science.

The research has implications ranging from the origins of life and the search for life in the universe to cutting-edge medical innovation. “One of the biggest unanswered questions in science is how life first began,” says Kamerlin, who is a corresponding author of the study. “Understanding how the first protein-like molecules formed and what the earliest proteins may have been like is a key part of that puzzle.”

“Proteins power our bodies — and all life on Earth,” she adds. “Simply put, the evolution of proteins is the reason that we’re able to have this conversation at all.”

A Protein Folding Paradox

If proteins are the scaffolding of life, amino acids are the components that make up that scaffolding. “Today, an average protein is constructed from a chain of about 300 amino acids, involving 20 different types of amino acids,” Kamerlin shares. Proteins fold when these chains twist into a specific 3-dimensional shape, creating structures critical for biology.

However, while these folds are essential, exactly how a protein knows which way to fold remains a mystery. “We know that proteins didn’t just fold randomly,” Kamerlin shares, “because randomly trying all possible configurations would take a protein longer than the age of the universe.”

It’s a cornerstone problem in biological science called “Levinthal’s Paradox,” and highlights a fundamental mystery: Proteins fold incredibly quickly into very specific combinations — but like a sheet of paper spontaneously folding into an origami swan, researchers don’t know how proteins “choose” the folds they make.

“We can predict what a protein will look like, but can’t tell you how it got there,” Kamerlin adds. “That’s what we’re interested in exploring: how small early proteins developed into the complex proteins that support every living thing on today’s Earth.”

Simple Letters, Sophisticated Structures

Early proteins likely had access to just half of today’s amino acids. “About 10-12 amino acids were likely available on early Earth,” Kamerlin says. Like writing a story with just the letters “A” through “L,” researchers assumed that the ‘vocabulary’ proteins could build from such a limited amino acid alphabet would also be constrained.

“There is a language to protein folding,” Kamerlin explains. “That language is hidden in their structures. Our research is in trying to understand the rules — the grammar and vocabulary that dictate a protein fold.” 

The grammar they discovered was surprising: with a combination of creative techniques and environmental support, complex structures can arise from limited amino acid alphabets. 

“We found that it is possible to develop complex folds with very simple tools — and certain environments, like salty ones, can help support that,” Kamerlin shares. “Early proteins could also cross-link and associate, interacting like LEGO blocks to create more complex structures.”

Pioneering Proteins

Now, the team is conducting research in environments that could mimic conditions on early Earth — aiming to discover more about how these regions could have given rise to today’s complex proteins. “This aspect of our research also ties into the amazing space research happening at Georgia Tech,” Kamerlin says. “While we’re interested in understanding early life on Earth, our work could help inform where best to look for evidence of life beyond our planet.”

Kamerlin specializes in creating computer models that simulate possible scenarios – creating an opportunity to quickly and efficiently test many theories. The most compelling of these can then be tested by her collaborator and co-author at Science Tokyo, Liam Longo, in lab experiments. 

Protein folding is also at the forefront of medical innovation, ranging from diagnostic tools to cancer treatments and neurodegenerative diseases. “In the broader scope, we’re interested in discovering what we can design, what we can stress test, and what we can reconstruct with AI and other computational tools,” Kamerlin says. “Because if you can understand how proteins fold, you gain the ability to design them.”

Funding: NASA, the Human Frontier Science Program, and the Knut and Alice Wallenberg Foundation

DOI: https://doi.org/10.1016/j.trechm.2026.03.001

GT² is a newly established research initiative at Georgia Tech that focuses on discovery science, engineering innovation, and AI-enabled decision tools to address urgent challenges at the intersection of environmental and community resilience in the Southeast. The initiative fosters research in direct service to regional communities through public-private partnerships, and it provides opportunities for graduate student engagement.

The BHIC-GT² research fund and partnership will pursue shared initiatives in the fields of coastal sustainability, ecosystem health, and environmental resilience. By combining BHIC’s applied, field-based conservation work with Georgia Tech’s expertise in technological innovation and data analysis, new opportunities for impactful research will be created through graduate student projects and community engagement.

About the Partnership
Like the GT² initiative, BHIC’s Johnston Center for Coastal Sustainability was created to translate research into real-world impact. BHIC established the Johnston Center as a research partnership and education hub for sustainability initiatives on Bald Head Island, with the broader goal of advancing coastal sustainability across the Southeast. Seed funding for the Center was provided in 2021 by Dick and Pat Johnston, longtime supporters of BHIC. 

Dick, a Georgia Tech IM 1962 alumnus, and Pat Johnston shared their enthusiasm for the BHIC and Georgia Tech collaboration, noting: 

“We are delighted to see our two favorite institutions come together through this partnership. It brings additional resources, expertise, and leadership to our shared focus on keeping the historic tagline ‘Living in Harmony with Nature’ in the hearts of future generations.”

Joel Kostka, Faculty Director of GT² who also serves as Tom and Marie Patton Distinguished Professor and associate chair for Research in the School of Biological Sciences with a joint appointment in the School of Earth and Atmospheric Sciences at Georgia Tech added:

“The Bald Head Island Conservancy and its Johnston Center for Coastal Sustainability exemplify how place‑based conservation and rigorous science can work together to create real impact. The Bald Head Island Conservancy’s long‑term stewardship, research infrastructure, and commitment to translating science into action make it an ideal partner for Georgia Tech for Georgia’s Tomorrow as we advance collaborative research that strengthens coastal resilience across the Southeast.”

This partnership will focus on Georgia Tech graduate student research projects that use innovative technology and data analyses to directly support the conservation work of BHIC.

Graduate student research already plays an important role in BHIC’s conservation efforts. Gabie Krueger, a Georgia Tech Ph.D. student in Ocean Sciences and Engineering and BHIC’s 2025-26 Johnston Graduate Fellow in Coastal Sustainability, has been working with BHIC scientists on a salt marsh ecology project that examined how ribbed mussels and fiddler crabs influence the health of Bald Head Island’s dominant salt marsh grass Spartina alterniflora. These flora-fauna interactions serve as primary indicators of marsh health, so her research is important for understanding the resilience of Bald Head Island’s salt marsh to environmental concerns such as sea-level rise and development.

Through the BHIC-GT² partnership, Georgia Tech student researchers who work with the Conservancy will also gain invaluable experience with local conservation efforts and community engagement.

G. Christopher Shank, Ph.D., Executive Director of BHIC, commented:

“The Bald Head Island Conservancy is thrilled about this opportunity to create a formal research partnership with Georgia Tech, one of the nation’s most esteemed research universities. It is recognition of the quality of conservation studies we are currently pursuing at the Conservancy and it also augments the impact of our work for BHI and beyond because of the technological and data analysis talent that Georgia Tech for Georgia’s Tomorrow will bring to this partnership.”

Why This Matters
This research fund and partnership represents an important step forward in strengthening connections between academic research and applied conservation institutions. Together, BHIC and GT² aim to inform coastal management decisions, support resilience planning, engage students, and advance research that benefits coastal ecosystems and communities across the southeastern U.S.

Looking Ahead
Additional details about joint initiatives, research priorities, and collaborative opportunities will be shared in the coming months.

“It has been my greatest honor to serve this community and to witness the impact of our shared work,” Sugimoto said. “I leave with profound pride in what we have built together and unwavering confidence in the bright future ahead for the Carter School.”

During her time at Georgia Tech, Sugimoto has demonstrated an exceptional ability to lead academic organizations while fostering a culture of innovation and inclusion. Sugimoto led development efforts that helped the Carter School achieve a record as the second Georgia Tech school to meet its Transforming Tomorrow campaign goal. She also spearheaded a significant strategic and philanthropic initiative to name the School of Public Policy after former President Jimmy Carter and his wife, Rosalynn — a milestone supported by $10 million in development funds. Sugimoto also championed and oversaw the $26-million renovation of the D.M. Smith Building, preserving its historical character while updating infrastructure, accessibility, and sustainability. 

Her leadership has also resulted in substantial growth in student enrollment, national program expansion, the creation of four new interdisciplinary undergraduate minors, and expanded staff and organizational structures. In partnership with the Sam Nunn School of International Affairs, Sugimoto helped lead the establishment of the GTDC: Pathways to Policy program — a fully immersive, semester-long experience in Washington, D.C. available to the entire undergraduate community at Georgia Tech. She also oversaw the creation of the Center for Urban Research, a collaboration between Georgia Tech and the mayor’s office that brings together university, community, nonprofit, and municipal leaders to develop and evaluate solutions that address inequities in urban centers. These achievements reflect her deep understanding of how to bridge diverse academic fields to enhance the holistic student experience. 

“We are deeply grateful for Cassidy’s thoughtful and innovative leadership,” said Amanda Murdie, dean of the Ivan Allen College of Liberal Arts, Regents’ Professor, and Ivan Allen Jr. Chair. “She’s positioned the Carter School well to continue expanding and enhancing its human-centered, evidence-based teaching and research.”

As a past president of the International Society for Scientometrics and Informetrics, Sugimoto has spent her career examining the "science of science" and the formal and informal ways in which knowledge is produced and disseminated. A socially engaged scholar, she has served as a consultant for funding agencies including the European Research Council and the Howard Hughes Medical Institute, and as a program director for the National Science Foundation. 

Ivan Allen College of Liberal Arts will announce an interim chair of the Jimmy and Rosalynn Carter School of Public Policy in the next few weeks. An international search for the next chair will launch in academic year 2026-2027.

Work on your character, be honest with yourself, and never stop reading. That was the advice from retired U.S. Army Gen. Stanley McChrystal at a recent fireside chat in the John Lewis Student Center’s Walter Ehmer Theater. 

Georgia Tech’s Ivan Allen College of Liberal Arts and several other programs will form a network for liberal arts units embedded within technological universities following an IAC-led gathering in Atlanta. 

Poetry@Tech collaborated with MARTA Artbound, the transit agency’s office responsible for public art in the MARTA system, to place the poems in trains and on digital signboards in select stations throughout the month.

“It’s really exciting because it’s so colorful,” said Victoria Chang, the Margaret T. and Henry C. Bourne Chair and director of Poetry@Tech. “And so, I feel like it gave me a lot of joy and I hope it gives the commuters and the riders on MARTA as much joy as it gave me when I saw it the first time.”

Read more in our full story.

That’s one of the main findings from a study by AI Caring on what older adults expect from explainable AI (XAI).

AI Caring is one of three AI Institutions led by Georgia Tech and funded by the National Science Foundation (NSF). The institution supports AI research that benefits older adults and their caregivers.

Niharika Mathur, a Ph.D. candidate in the School of Interactive Computing, was the lead author of a paper based on the study. The paper will be presented in April at the 2026 ACM Conference on Human Factors in Computing Systems (CHI) in Barcelona.

Mathur worked with the Cognitive Empowerment Program at Emory University to interview 23 older adults who live alone and use voice-activated AI assistants like Amazon’s Alexa and Google Home.

Many of them told her they feel excluded from the design of these products.

“The assumption is that all people want interactions the same way and across all kinds of situations, but that isn’t true,” Mathur said. “How older people use AI and what they want from it are different from what younger people prefer.”

One example she gave is that young people tend to be informal when talking with AI. Older people, on the other hand, talk to the agent like they would a person.

“If Older adults are talking to their family members about Alexa, they usually refer to Alexa as ‘she’ instead of ‘it,’” Mathur said. “They tend to humanize these systems a lot more than young people.”

Good Explanations

The study evaluated AI explanations that drew information from four sources of data:

• User history (past conversations with the agent)
• Environmental data (indoor temperature or the weather forecast)
• Activity data (how much time a user spends in different areas of the home)
• Internal reasoning (mathematical probabilities and likely outcomes)

Mathur said older users trust the agent more when it bases its explanations on data from the first three sources. However, internal reasoning creates skepticism.

Internal reasoning means the AI doesn’t have enough data from the other sources to give an explanation. It provides a percentage to reflect its confidence based on what it knows.

“The overwhelming response was negative toward confidence scores,” Mathur said. “If the AI says it’s 92% confident, older adults want to know what that’s based on.”

This is another example that Mathur said points to generational preferences.

“There’s a lot of explainable AI research that shows younger people like to see numbers in explanations, and they also tend to rely too much on explanations that contain numerical confidence. Older adults are the opposite. It makes them trust it less.”

Knowing the Context

Mathur said that AI agents interacting with older adults should serve a dual purpose. They should provide users with companionship and support independence while reducing the caretaking burden often placed on family members. 

Some studies have shown that engineers have tended to favor caretakers in the design of these tools. They prioritize daily tasks and routines, leaving some older adults to feel like they are merely a box to be checked.

She discovered that in urgent situations, older users prefer the AI to be straightforward, while in casual settings, they desire more conversation.

“How people interact with technological systems is grounded in what the stakes of the situation are,” she said. “If it had anything to do with their immediate sense of safety, they did not want conversational elaboration. They want the AI to be very direct and factual.”

Not Just Checking Boxes

Mathur said AI agents that interact with older adults are ideally constructed with a dual purpose. They should provide companionship and autonomy for the users while alleviating the burden of caretaking that is often placed on their family members. 

Some studies have shown that engineers have strayed toward favoring caretakers in the design of these tools. They prioritize daily tasks and routines, leaving some older adults to feel like they are a box to be checked.

“They’re not being thought of as consumers,” Mathur said. “A lot of products are being made for them but not with them.”

She also said psychological well-being is one of the most important outcomes these tools should produce. 

Showing older adults that they are listened to can significantly help in gaining their trust. Some interviewees told Mathur they want agents who are deliberate about understanding their preferences and don’t dismiss their questions.

Meeting these needs reduces the likelihood of protesting and creating conflict with family members.

“It highlights just how important well-designed explanations are,” she said. “We must go beyond a transparency checklist.”

Georgia Tech researchers are making AI easier to understand through their work on Transformer Explainer. The free, online tool shows non-experts how ChatGPT, Claude, and other large language models (LLMs) process language. 

Transformer Explainer is easy to use and runs on any web browser. It quickly went viral after its debut, reaching 150,000 users in its first three months. More than 563,000 people worldwide have used the tool so far.

Global interest in Transformer Explainer continues when the team presents the tool at the 2026 Conference on Human Factors in Computing Systems (CHI 2026). CHI, the world’s most prestigious conference on human-computer interaction, will take place in Barcelona, April 13-17.

[Related: GT @ CHI 2026]

“There are moments when LLMs can seem almost like a person with their own will and personality, and that misperception has real consequences. For example, there have been cases where teenagers have made poor decisions based on conversations with LLMs,” said Ph.D. student Aeree Cho.

“Understanding that an LLM is fundamentally a model that predicts the probability distribution of the next token helps users avoid taking its outputs as absolute. What you put in shapes what comes out, and that understanding helps people engage with AI more carefully and critically.”

A transformer is a neural network architecture that changes data input sequence into an output. Text, audio, and images are forms of processed data, which is why transformers are common in generative AI models. They do this by learning context and tracking mathematical relationships between sequence components.

Transformer Explainer demystifies how transformers work. The platform uses visualization and interaction to show, step by step, how text flows through a model and produces predictions.

Using this approach, Transformer Explainer impacts the AI landscape in four main ways:

• It counters hype and misconceptions surrounding AI by showing how transformers work.
• It improves AI literacy among users by removing technical barriers and lowering the entry for learning about AI.
• It expands AI education by helping instructors teach AI mechanisms without extensive setup or computing resources.
• It influences future development of AI tools and educational techniques by providing a blueprint for interpretable AI systems.

“When I first learned about transformers, I felt overwhelmed. A transformer model has many parts, each with its own complex math. Existing resources typically present all this information at once, making it difficult to see how everything fits together,” said Grace Kim, a dual B.S./M.S. computer science student. 

“By leveraging interactive visualization, we use levels of abstraction to first show the big picture of the entire model. Then users click into individual parts to reveal the underlying details and math. This way, Transformer Explainer makes learning far less intimidating.”

Many users don’t know what transformers are or how they work. The Georgia Tech team found that people often misunderstand AI. Some label AI with human-like characteristics, such as creativity. Others even describe it as working like magic.

Furthermore, barriers make it hard for students interested in transformers to start learning. Tutorials tend to be too technical and overwhelm beginners with math and code. While visualization tools exist, these often target more advanced AI experts.

Transformer Explainer overcomes these obstacles through its interactive, user-focused platform. It runs a familiar GPT model directly in any web browser, requiring no installation or special hardware. 

Users can enter their own text and watch the model predict the next word in real time. Sankey-style diagrams show how information moves through embeddings, attention heads, and transformer blocks.

The platform also lets users switch between high-level concepts and detailed math. By adjusting temperature settings, users can see how randomness affects predictions. This reveals how probabilities drive AI outputs, rather than creativity.

“Millions of people around the world interact with transformer-driven AI. We believe that it is crucial to bridge the gap between day-to-day user experience and the models' technical reality, ensuring these tools are not misinterpreted as human-like or seen as sentient,” said Ph.D. student Alex Karpekov. 

“Explaining the architecture helps users recognize that language generated by models is a product of computation, leading to a more grounded engagement with the technology.” 

Cho, Karpekov, and Kim led the development of Transformer Explainer. Ph.D. students Alec Helbling, Seongmin Lee, Ben Hoover, and alumni Zijie (Jay) Wang (Ph.D. ML-CSE 2024) and Minsuk Kahng (Ph.D. CS-CSE 2019) assisted on the project. 

Professor Polo Chau supervised the group and their work. His lab focuses on data science, human-centered AI, and visualization for social good.

Acceptance at CHI 2026 stems from the team winning the best poster award at the 2024 IEEE Visualization Conference. This recognition from one of the top venues in visualization research highlights Transformer Explainer’s effectiveness in teaching how transformers work.

“Transformer Explainer has reached over half a million learners worldwide,” said Chau, a faculty member in the School of Computational Science and Engineering. 

“I'm thrilled to see it extend Georgia Tech's mission of expanding access to higher education, now to anyone with a web browser.”

Now, the team is working with the Linux Foundation and the Open Source Security Foundation (OpenSSF) to ensure that its breakthrough doesn’t remain confined to a competition environment. The team’s new initiative, OSS-CRS, aims to standardize and operationalize cyber reasoning systems (CRSs) for real-world use.

“The AI Cyber Challenge pushed the boundaries of autonomous software security, with seven teams developing systems capable of finding and remediating vulnerabilities at scale,” said Andrew Chin, a Georgia Tech Ph.D. student and lead on the OSS-CRS program. 

“However, after the competition’s conclusion, it has been difficult to apply these advancements to the open-source community due to infrastructure incompatibilities and the lack of long-term maintenance for the open-sourced CRS implementations.”

To address this gap, Georgia Tech’s Systems Software Lab (SSLab), directed by Professor Taesoo Kim, is leading the development of OSS-CRS, which provides both a common framework for CRS development and the infrastructure needed to deploy these systems seamlessly across open-source projects.

As part of this effort, the team has ported its competition-winning system, Atlantis, into the OSS-CRS framework. The move makes it compatible with laptops and other everyday machines with flexible resource and budget configurations.

Interoperability is also central to the framework’s design. Atlantis can be combined with other CRSs to improve performance, including systems developed by fellow AIxCC finalists and newer agentic, command-line-based tools. This modular approach reflects a key lesson the team learned from the competition: collaboration between systems can outperform any single solution.

OSS-CRS has been accepted as a sandbox project within OpenSSF’s AI/ML Security Working Group, a milestone that brings added technical guidance and community support to the project. This includes:

• Access to mentorship
• Dedicated working group meetings
• Broader visibility through industry events, publications, and outreach efforts

The collaboration will also foster stronger connections with open-source maintainers, helping streamline vulnerability disclosure and remediation workflows.

They would normally get this in their natural habitats while foraging for food and staying alert to predators that might target calves.

However, the four elephants reside at Zoo Atlanta, so they don’t have to worry about these things.

That’s why zoo caretakers are always on the lookout for better ways to help their elephants exercise their brains.

The caretakers at Zoo Atlanta found one when they met Arianna Mastali, a Ph.D. student in Georgia Tech’s School of Interactive Computing. Mastali designed an audio enrichment wall to help stimulate Zoo Atlanta’s elephants.

Many zoos build concrete enrichment walls to foster elephant problem-solving and critical thinking. The walls usually have holes for the elephants to reach through with their trunks as they search for food, treats, or playful objects on the other side.

Mastali enhanced Zoo Atlanta’s enrichment wall by adding an interactive audio component. A nearby speaker system emits distinctive low-frequency tones when an elephant sticks its trunk into a hole.

“They’re intelligent creatures that require a lot of complexity in their habitat,” Mastali said. “We wanted to add to that complexity while giving them more control.”

Experimenting in the Wild

Mastali’s system uses cameras and computer vision to detect when an elephant’s trunk is inside a hole and then sends a signal to the speakers to play a sound.

Mastali is a member of the Georgia Tech Animal Lab, directed by School of IC professor Melody Jackson. The lab often uses sensing technology to enhance animal wellness.

Mastali said she tried incorporating sensing devices into her project several times. She constructed an insert made of PVC pipe and attached a sensor to its base that used infrared beams to detect the elephant’s trunk.

However, she said it was difficult to account for the elephants’ strength. Their trunks would break the insert after a day or two. 

She pivoted toward computer vision to remove the risk of damage and keep the enrichment wall as close to natural as possible. 

“A big lesson we learned was that using existing materials the elephants are already familiar with was the best way to do things, and it simplified our design process,” she said.

Shane Rosse, a student in Georgia Tech’s Online Master of Science in Computer Science (OMSCS) program, assisted Mastali with the computer vision component.

Enhancing Environmental Enrichment

Mastali observed the elephants’ behavior at the wall seven days before and seven days after the installation of the audio enrichment system.

The number of times the elephants approached the wall after installation increased by 176%, and time spent at the wall increased by 71%

“We weren’t sure at first if they would care that much, so it was great to see how much time they spent at the wall, especially our less dominant females,” said Kirby Miller, senior elephant caretaker at Zoo Atlanta. “They seem to like it the most.”

Miller said the elephants used to only approach the wall when they knew there was food behind it. That started to change after the audio enrichment system was installed.

“We would be off somewhere else, and we’d hear the speaker playing the sounds, and we knew there wasn’t any food back there,” Miller said. “Tara had her trunk in one of the holes, just listening to the sound. That let us know they do like it, and they’re very curious about it.”

Miller said because elephants have sharp memories and acute senses of hearing and smell, their habitats must be designed with that in mind.

Zoo Atlanta’s African Savanna elephant habitat was redesigned in 2019. In addition to the enrichment wall, it includes a bathing pond, two waterfalls, and swing boom devices that hold hay for elephants to eat as they would in the wild.

Miller said elephants sheltered at any zoo or conservation would benefit from enrichment devices enhanced by technology.

“I think anything they can participate in that gives them choice and control is great for all zoo elephants,” she said. “It depends on the elephants, but with our elephants, they can hear much higher frequencies than we can. That noise isn’t that loud for us, but for them, they’re feeling that noise, and they can hear much more, which makes it more stimulating for them.”

Interior design in higher education goes far beyond aesthetics. At Georgia Tech, it plays a critical role in shaping how students learn, collaborate, live, and feel on campus. From classrooms and labs to student centers, offices, and shared spaces, thoughtfully designed interiors quietly support the Institute’s mission every day. 

The Truman Scholarship is awarded annually to a select group of students nationwide who demonstrate outstanding leadership potential, academic excellence, and an enduring commitment to making a difference. Named after President Harry S. Truman, the scholarship supports students in their graduate education and careers addressing society’s most pressing challenges.

“Taylor exemplifies the kind of leader we strive to develop,” said Georgia Tech President Ángel Cabrera. “Her commitment to strengthening public institutions reflects our motto of Progress and Service. Her selection as a Truman Scholar, one of the nation’s most prestigious fellowships for public service, is an exceptional achievement, and we are incredibly proud of her.”

A Commitment to Rebuilding Trust in Public Institutions

Witte, who hails from Highlands Ranch, Colorado, is pursuing dual bachelor’s degrees while maintaining a 4.0 GPA. She balances an ambitious academic load with dedicated involvement in campus leadership, undergraduate research, and national public service experiences.

Motivated by the erosion of trust in American public institutions, Witte aims to strengthen government decision-making through rigorous economic analysis, transparent data practices, and effective regulation. Instead of viewing public trust as just another policy area, Witte sees it as the very foundation upon which all governance rests.

“While several social issues, from the climate crisis to criminal justice, demand our attention,” she explains, “our ability to tackle these challenges is only as strong as our collective faith in the institutions meant to do so. Responsible data stewardship is the first step to ensuring that communities see themselves represented in the policies that shape their lives.”

That philosophy was shaped in part by her work at the Federal Reserve Board of Governors, where she served as a statistics and data management intern in 2025. The experience reinforced her belief that sound regulation, grounded in high-quality evidence and community realities, is essential to restoring confidence in government.

It’s a perspective that also guides her long-term goals. As a Truman Scholar, Witte plans to pursue a joint J.D. and Ph.D. in economics. She hopes to work in the U.S. Office of Management and Budget, specifically the Office of Information and Regulatory Affairs, where economic analysis and regulatory oversight intersect.

Leadership at Georgia Tech and Beyond

Witte’s leadership record at Georgia Tech is extensive. She has served as an advisor for the Seek Discomfort First-Year Leadership Organization and is currently a justice on the Undergraduate Judiciary Committee within Georgia Tech’s Student Government Association.

She has also played a key role in institutional service and advocacy. As an ambassador for the Ivan Allen College of Liberal Arts, Witte helps lead Shadow Day, the College’s largest outreach event for prospective students. Previously, she sat on the Ivan Allen College Advisory Board and is now the sole undergraduate member of the School of Economics Chair Search Committee.

In addition, Witte has helped oversee the Georgia Tech Stamps Summit as conference chair, building intellectual community among fellow scholars committed to leadership and service.

Chaffee Viets, executive director of the Office of Scholar Programs, notes that Witte’s leadership is defined as much by reflection as ambition.

“Taylor is a thinker,” Viets said. "Someone who asks the same questions of herself that she might ask of society: How is this path I am on going to lead to real impact? In her answers, I see deliberative leadership and extraordinary potential.”

Bridging Liberal Arts and Technical Education

As a liberal arts student at a leading technical institute, Witte has made it a personal mission to demonstrate the essential role of economics, public policy, and the humanities in shaping technological innovation and governance. She currently serves as a teaching assistant in the School of Mathematics, one of only a handful of liberal arts majors among a large cohort, where she works to make complex mathematical concepts accessible and applicable for all her students.

“In everything I do on campus, I want to show that liberal arts majors can learn alongside STEM-focused students, and also lead among them and contribute meaningfully to the Institute’s mission of advancing technology and improving the human condition,” she said. “My experiences at Tech have left me better prepared to navigate a public-sector career in an increasingly technical world.”

Looking ahead, Witte remains focused on the long-term work of strengthening democratic institutions.

“To say we are navigating difficult and uncertain times would be an understatement,” she says. “But the most powerful force in this moment is one within our control: our collective decision to believe in the institutions we build, and to demand that they rise to meet us. It’s our choice to make.”

Students interested in applying for the Truman Scholarship can visit the Prestigious Fellowships website or contact the team at fellowshipsadvising@gatech.edu.

There is no official Commencement dress code, but for those who are still scrambling for picture-perfect attire, here are some practical tips to help dress and prep for the big day.   

Spring 2026 Commencement is a rain or shine event. Graduates and guests are advised to monitor the weather forecast and dress as needed. Each ceremony is expected to last between one to two and a half hours. For directions between venues throughout the weekend, visit the Georgia Tech map.  

Spring 2026 Commencement Ceremony Schedule

Commencement Dress DO’s:  

Leave bags at home. If you must have a bag, make it clear. Commencement events at both Bobby Dodd Stadium and McCamish Pavilion are subject to the venue’s clear bag policy. See the full policy at ramblinwreck.com/clearbag.    

Travel light. This will save you the hassle of carrying a bag at all or leaving your bag at bag valet. If you’re wearing a dress or skirt, try to find one with pockets to carry small items such as keys or your phone.   

Dress comfortably. You may be at the event for up to three and a half hours. The event will be a combination of standing and sitting, so make sure you’re dressed comfortably enough for both. Consider light layers depending on the weather. 

Bachelor’s and Ph.D. graduates will process in front of the stage as their names are called, so be sure you can walk in your shoes. If you’re wearing pants, consider lighter colors to contrast with your regalia. If you’re planning to wear heels, consult the “Don’t wear new shoes” section, and consider a low heel (and that you’ll be walking on uneven turf or flooring).    

Suggest that your guests dress business casual. Although there is no dress code, many guests like to dress up for this special day. Parents and alumni can often be seen donning Tech colors and gear, and sometimes international guests wear their country’s traditional dress clothes. Tell them about the clear bag entry policy so they, too, can plan accordingly.    

Whatever you choose to wear, the photos you take will be around for a while, so pick something you won’t mind seeing a few years down the road. When in doubt, you can’t go wrong with white and gold. 

Commencement Dress DON’Ts:  

Don’t think that because you’re wearing a robe, it doesn’t matter what you’re wearing underneath. Throughout the day, you’ll be taking numerous photos, and you may at some point want to take off your regalia.   

Don’t wear new shoes. Commencement is not the day to break in new shoes. Another tip: Don’t wear high heels if you are not used to walking in them. On your walk across the stage, you should be focusing on the moment you’ve been waiting for during the past four (or five) years, not worrying about tripping.   

Don’t spend too much time styling your hair. Keep in mind you’ll be wearing a graduation cap for a few hours. If you’re planning an elaborate hairstyle, try it out with your cap before graduation day to make sure that the cap still sits properly. Bobby pins can help to secure your cap if it feels loose.

Don’t make your mortarboard too epic. Remember that someone has to sit behind you, and if you adorn your cap with anything 3D, try to keep it no more than an inch or two off the board.   

Don’t forget your regalia. Make sure you have your cap, gown, tassel, cords, and stole (and hood, for graduate students). There will not be extras at the venue, and regalia is required for participating in Commencement. And, don’t wait until Commencement day to unwrap it. Take it out of the plastic, make sure you have it all, and hang it up to let some of the wrinkles fall out. If you’re feeling ambitious, give it a steam.

Other Commencement Tips:  

Set an alarm, especially for morning ceremonies. Doors will open one hour before the start of the ceremony. Graduates should report to the venue 45 minutes before the ceremony starts. Set your alarm and have a buddy system to make sure you wake up. (See the full Commencement schedule.)   

Charge your phone. Bachelor’s and Ph.D. graduates will scan a virtual name card (StagePass) as they walk to the stage to have their names called, and you will want to find family members after the ceremony. Master’s graduates will scan their StagePass during their college ceremony. Bring a phone with a full charge. Pro tip: Take a screenshot of your StagePass before you arrive. Better yet, print your StagePass and never worry about your phone’s battery life.

Stay hydrated and take a bathroom break before you arrive. Try to be well-rested, fed, hydrated, and prepared to sit through the ceremony.   

Plan where to meet your guests after the ceremony. For bachelor’s and master’s graduates, there is no formal procession in or out of the venue. Suggest a specific meeting spot beforehand, ideally a bit away from the venue, to ensure you are not lost in the crowd and can find family members to reunite easily.   

Send your guests parking information. Note available parking areas at commencement.gatech.edu/venue-parking.    

Most importantly, remember to enjoy the day and reflect on all that you’ve achieved at Georgia Tech. Congratulations, graduates!

The U.S. Department of Justice recently extended the compliance deadline for Title II of the Americans With Disabilities Act (ADA) digital accessibility requirements by one year. The new deadline to meet the WCAG 2.1 Level AA requirements is April 26, 2027.  

The Academy recognizes leaders across fields of study who have addressed humanity’s greatest challenges while also gathering knowledge to advance learning and the public good. This year’s class of 252 honorees was elected in academia, the arts, industry, journalism, philanthropy, policy, research, and science.  

García is one of nine honorees in the “Engineering and Technology” division. His research — both in the George W. Woodruff School of Mechanical Engineering where he serves as Regents’ Professor and in the Parker H. Petit Institute for Bioengineering and Bioscience where he is the executive director — aligns with the Academy’s service-minded mission.  

“I am inspired to find engineering solutions to serious health conditions to help people,” he said. “As a kid, I developed a musculoskeletal condition that required biomaterial devices to treat. Although imperfect, this treatment allowed me to lead a normal life.” 

Moved by his personal experience, García’s research centers on cellular and tissue engineering, which integrate biological and engineering principles to restore organ function lost to injury or disease. By studying how cells interact with the materials around them, he and his team have engineered biomaterials for the controlled delivery of therapeutic proteins and cells that enhance tissue regeneration, which could speed the healing process for patients.  

His future work will integrate biomaterials with lab‑grown replicas of human organs, known as organoids, that can be used to identify new therapies for a variety of human diseases. These organoids, though smaller and simpler than true organs, can mimic key functions that may help García and his team to find better ways to repair damaged tissues. 

García has spent the past 27 years at Georgia Tech and carries on the legacy of another Academy member — the Petit Institute’s founding executive director Robert Nerem, who was inducted in 1998. García credits his success to the support of his loved ones and the Yellow Jacket community.  

“I am deeply honored and humbled,” he said. “This award is only possible by the unending love and support of family, friends and mentors, my phenomenal past and present trainees, fantastic collaborators, and awesome ecosystem at Georgia Tech.” 

The Academy was chartered in 1780 during the American Revolution by a group that included John Adams and John Hancock. It was established to recognize accomplished individuals and engage them in addressing the greatest challenges facing the young republic. 

Membership has broadened over the years to celebrate excellence in a variety of fields. Honorees have included poet Robert Frost, musician John Legend, and chef José Andrés, who was given this year’s Ivan Allen Jr. Prize for Social Courage.  

García and the rest of this year’s class, which includes actor Jodie Foster, will be inducted in October.  

Daniel Meng, BA 2025, was 8 years old when he started cooking. His fried rice recipe was simple — rice and eggs — but it was enough to fill him up while his parents were at work, and it lit a fire in him that would eventually lead him to the MasterChef kitchen to compete among the best home cooks in the country.  

Event load-in will take place throughout the week. Intermittent delays and closures are expected along Bobby Dodd Way (between Techwood Drive and Fowler Street) and Fowler Street (between Bobby Dodd Way and Fourth Street). 

Beginning at 6 p.m. Friday, April 24, more significant closures will be in effect through the weekend. Techwood Drive will be closed from Bobby Dodd Way to North Avenue through Sunday following the concert. 

Additionally, North Avenue will be closed between Techwood Drive and Luckie Street from 2 p.m. to 1 a.m. on Saturday, April 25, and Sunday, April 26. Fowler Street between Fourth and Fifth streets will be limited to parking pass holders accessing Peters Parking Deck. 

Be sure to allow extra travel time, use alternate routes, and remain alert to changing traffic patterns in the area. 

Transportation Changes 

Friday, April 24 

• Red Route Stinger will detour beginning at 5:30 p.m. (see map).  

Saturday, April 25, and Sunday, April 26 

• Weekend Atlantic and Midtown Stinger routes will operate from 8 a.m. to noon. Buses will be labeled “charter” in the TransLoc app.
• Weekend Gold, Red, and Blue Stinger routes will not operate.
• Stingerette Nighttime Safety Service will not operate during the concerts and will resume once roads reopen.  

Parking Changes 

Parking permit holders will be notified via email if they need to move their vehicle. See a map of all affected parking areas. 

The following parking areas will be closed to permit holders to accommodate concert parking: 

Thursday, April 23, at 5 p.m., through Monday, April 27, at 8 a.m. 

• E44: Lyman Hall Lot  
• ER51: Fowler Street from Fourth Street to Bobby Dodd Way  

Saturday, April 25, at 8 a.m., through Monday, April 27, at 8 a.m. 

• ER51: Fowler Street from Fifth Street to Fourth Street
• ER51: Techwood Drive from Fourth Street to Bobby Dodd Way
• E45: Tech Tower
• E46: Burge Deck
• E48: Wardlaw Center
• E49: Alumni Lot
• E52: Peters Deck
• E63: O’Keefe Lot
• E65: McCamish Pavilion
• ER55: Sixth Street to Fifth Street
• W01: Tech Parkway

Alternative parking will be available to permit holders beginning at 5 p.m. Friday, April 24, at the following locations: 

• E70: GTRI Deck
• ER66: Family Housing Deck
• W06: Tech Parkway
• W21: Physics/Boggs/Mason
• W31: IPST
• WR29: West Campus Residential

For many Georgia Tech students, a ride in the Ramblin’ Wreck is a bucket-list item before graduation.  

For Georgia Tech, the campus arboretum is more than a designated area of trees. It is the entire campus. Walkways, quads, greens, and streetscapes are all part of a curated landscape carefully selected to thrive in an urban environment. It is also a place where memories are made, from everyday gatherings under the canopy to photos that capture an important milestone.  

In December, The Conversation hosted a webinar on AI’s revolutionary role in drug discovery and development.

Science and technology editor Eric Smalley interviewed Jeffrey Skolnick, eminent scholar in computational systems biology at Georgia Institute of Technology, and Benjamin P. Brown, assistant professor of pharmacology at Vanderbilt University.

Skolnick has developed AI-based approaches to predict protein structure and function that may help with drug discovery and finding off-label uses of existing drugs. Brown’s lab works on creating new computer models that make drug discovery faster and more reliable. Below is a condensed and edited version of the interview.

Let’s start with the big picture. How is AI changing biomedical research and drug discovery, and what is the potential we are talking about?

Skolnick: The upside, potentially, is very large. One of the frustrating things about drug discovery is that, in spite of the fact that the people doing it are extraordinarily intelligent and have done an extraordinarily good job, the success rate is very low. About 1 in 5 drugs will have negative health effects that outweigh its benefits. Of the ones that pass, roughly half don’t work.

In drug development, there are several key issues: Can you predict which target is driving a particular disease? Once this target is identified, how can you guarantee the drug is going to work and isn’t simultaneously going to kill you?

These are outstanding problems in drug discovery in which AI can play an important, though not 100% guaranteed, role. Unlike us, AI can look at basically all available knowledge. On a good day it makes strong and true connections called “insights,” and on a bad day it does what is called “hallucinating” and sees things that are weak and probably false.

At the end of the day, many diseases do not have a cure. Most diseases are maintained, such as high cholesterol or autoimmune conditions. A treatment for cancer might buy you five years, and now you’re in Stage 4 and you’ve exhausted all the standard care drugs. AI can play a role to suggest alternatives where there are none.

Let’s give some basic definitions here. When we use the word drug, we’re talking about a wide range of therapies. Can you explain the range – we’ve got small molecule drugs, biologics, gene therapies, cell therapies.

Brown: We have fairly large molecules in our bodies called proteins. They are like machines that carry out specific functions and interact with one another. Oftentimes, when we’re trying to treat disease, we’re trying to alter functions of specific proteins. Many drugs, like aspirin and Tylenol, are small molecules that can fit into a protein and change its function. Fundamentally, drugs don’t have to just interact with proteins, but this is a major way in which our current repertoire of medications work.

There are also proteins that act like drugs, such as antibodies. When you receive a vaccine for a virus, your body is basically given instructions on how to develop antibodies. These antibodies will target some part of that virus. Your body is creating these big molecules, much bigger than aspirin, to go and interact with foreign proteins in a different way. Gene therapy is a larger step beyond that.

So these modalities – molecule, protein, antibody or gene – are very different types of molecules. They have different scales and rules, so the way you approach designing and discovering them various widely.

Can you briefly explain artificial neural networks, and what the “deep” in deep learning means?

Skolnick: AlphaFold, developed by DeepMind, involved understanding how neural networks worked. They built a network with a lot of inputs, which are stimuli, and outputs with different weights, similar to how your brain actually works. These simple connections, or neurons, have reinforcement learning.

They also created sophisticated neural networks, such as transformers, which do specific things like a special-purpose tool that can learn, and they added a mechanism called “attention,” which amplifies critical details. Super neural networks with transformers is what we call deep learning. These now have literally billions, if not trillions, of parameters.

Essentially, these machines can learn higher order correlations between events, meaning the patterns of conditional interactions that depend on the properties of multiple things simultaneously. In these higher order correlations, AI has the potential to see previously unknown things that are embedded in petabytes (a unit of data equivalent to half of the contents of all U.S. academic research libraries of biological data.

AlphaFold, which predicts three-dimensional, bioactive forms of a protein, has millions of sequences and a couple of hundred thousand structures. It can tell you, based on a particular pattern, what small molecule to design that sticks to a protein to induce some kind of structural shift.

How is this technology being used in biomedical research to understand molecular dynamics or, essentially, the biological processes involved in health and disease?

Brown: In 2013, there was a Nobel Prize for molecular dynamics simulations, computational tools that help you understand the motions of molecules as they move according to physics. There’s a huge body of scientific research built around those ideas.

AI and deep learning are large right now, but it’s worth mentioning that for the last decade and a half, people have been using much smaller machine learning algorithms to help design drugs. A lot of the ideas, such as [using machine learning for virtual screening], are not new and have been in practice for a while.

With AlphaFold’s technologies to help people design proteins and predict their structure, we’ve changed how we think about a lot of these problems. We have this new repertoire of approaches to build ideas around and to start thinking about drug discovery.

From 20 years ago to now, what has today’s AI technology done in terms of scale of change in this process?

Skolnick: A lot of diseases, like cancers, are caused by a collection of malfunctioning proteins. AI now allows us to start to think conceptually about how these diseases are organized and related to each other.

Diseases tend to co-occur. For example, if you have hyperthyroidism, you’re very likely to develop Alzheimer’s. Kind of weird, right? We can look at pieces, but AI can look at all the information, integrate the collective behavior and then identify common drivers. This allows you to construct disease interrelationships which offer the possibility of broad spectrum treatments that could treat whole collections of diseases rather than narrow-spectrum treatments.

Relatedly, AI also can help us understand disease trajectories. Diseases that tend to co-occur often present themselves consecutively. You have disease 1, it gives you disease 2, then gives you disease 3. This suggests that if you go back to the root with disease 1, you may be able to stop a whole bunch of stuff. You can’t analyze millions of trajectories and millions of data without a tool, so you couldn’t do this before.

This holds a lot of promise, but one also must be careful not to overpromise. It will help, it will accelerate, but it is not a substitute yet for real experiments, real clinical validation and trials.

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

Georgia Tech researchers think they have a better way with small metal tags that can signal when a door or drawer is opened, count reps in the gym, or even track bathroom use for elderly relatives. Their tags are battery-free, quiet, inherently private, and cost only a few cents each. They’re smaller than a penny.

Like other kinds of smart home sensors, the tags are designed to be mounted on a cabinet or doorframe, for example, using a 3D-printed base. A small tab is attached to the corresponding door or drawer. When it’s opened, the tab strikes the metal disk, triggering a brief ultrasonic pulse imperceptible to human ears but detectable by a wearable device that logs the activity.

Read the full story on the College of Engineering website.

Wind turbines and solar panels have what economists call zero marginal cost, meaning producing additional units of electricity requires no fuel once installed. At the same time, this renewable energy varies greatly with the weather and can create operational challenges for grid operators.

A new review study from Georgia Tech examines how these characteristics are reshaping electricity markets and grid operations — and why addressing the challenge requires cross-disciplinary collaboration.

The study, published in Renewable and Sustainable Energy Reviews, synthesizes more than a decade of research. It analyzes over 200 studies on the engineering, economic, and policy implications of managing renewable energy sources that are both intermittent and effectively zero-cost to operate.

“Wind and solar are now among the lowest-cost sources of electricity in many parts of the world, but integrating them into the grid isn’t simple,” said Matthew Oliver, associate professor in the School of Economics and lead author of the study. “The wind doesn’t always blow, and the sun isn’t always shining, so output can fluctuate significantly, which complicates grid management.”

He added, “Historically, variation in electricity systems generally came from the demand side, and operators could simply ramp generation up or down. Now, we have variability on both supply and demand sides.”

Analyzing the Data

Looking at the problem, Oliver knew he would need to be familiar with engineering concepts to get at the heart of the issue. He created a research team with Daniel Matisoff, professor in the Jimmy and Rosalynn Carter School of Public Policy; Santiago Grijalva, professor in the School of Electrical and Computer Engineering; and graduate student co-authors Maghfira Ramadhani (economics), Oliver Chapman (public policy), and Amanda West (electrical and computer engineering).

Analyzing over 200 studies published since 2010, the team mapped the complex interactions between electricity market design, grid operations, and renewable technologies.

They also explored the economic implications of large amounts of zero-marginal-cost electricity entering wholesale electricity markets. Because wind and solar have very low operating costs, they can lower prices in wholesale electricity markets. That benefits consumers, but it can also make it harder for flexible conventional plants to earn enough revenue to stay available when renewable output falls.

Collaborating Across Disciplines

The team argues that successfully scaling renewable energy will depend on collaboration across traditionally separate fields.

“Engineering constraints affect how electricity markets work, markets influence investment decisions, and policy shapes how those investments happen,” Oliver said. “When it comes to complex topics like this, you can’t really treat engineering, economics, and policy as separate problems. They’re all part of the same system.”

The researchers found that electricity systems with high shares of renewable energy will require coordinated solutions that combine improved engineering practices, market reforms that value flexibility and reliability, and policies that align private investment with long-term decarbonization goals.

“Our hope is that this paper helps researchers across disciplines communicate more effectively,” Oliver said. “If we want electricity systems with high levels of renewable energy to work reliably, then engineers, economists, and policymakers all have to understand how their decisions affect the others.”

Citation: Oliver, Matthew E., et al. “Managing Zero-marginal-cost, intermittent renewable energy: A survey of the engineering, economic, and Policy Challenges.” Renewable and Sustainable Energy Reviews, vol. 226, Jan. 2026. 

DOI: https://doi.org/10.1016/j.rser.2025.116334

A Spark of Curiosity

In 2017, faculty conversations began circulating about a new kind of capstone experience, one driven by student discovery and entrepreneurial thinking rather than predetermined client requirements. The idea intrigued Omojokun.

“I remember thinking, this is really different from anything I’ve ever taught,” he said.

In his previous courses, Omojokun took pride in providing the structured, rigorous framework students needed to master complex concepts. While those interactions were dynamic, the curriculum required a specific, focused trajectory. CREATE-X offered a different kind of challenge: the "X" of the program, representing undefined, endless potential.

“CREATE-X is full of unknowns. You don’t know what industry the students are diving into, what roadblocks they’ll run into and navigate out of, or what small- to large-scale successes they’ll achieve throughout the semester. It really had my blood pumping,” he said. As someone who loves the challenge of academia, it was an invigorating way to help the next generation apply what they’ve learned in a new context.

Omojokun co-taught the first CREATE-X Capstone section with College of Computing students in fall 2018 alongside Craig Forest, associate director of the Invention Studio. While the initial computer science cohort was small, the experience was immediately powerful.

“It was humble beginnings but deeply eye-opening,” he said.

In this new environment, students weren't just solving problems; they were seeking them and sometimes pivoting. Traditional client-driven capstones offer students invaluable experiences in delivering high-quality products, responding to clients’ often evolving needs, and adhering to professional standards. CREATE-X added a layer of venture-validation, requiring students to identify a gap in the market and build something with commercial viability.

As the semesters continued, CREATE-X grew from a program with an interesting capstone course Omojokun enthusiastically co-taught to a professional inflection point for him. He found himself talking about it frequently, with colleagues, with students, even with prospective undergraduates who may not see a capstone for years.

He began encouraging prospective and incoming students to take CREATE-X pathways. 

“I would tell students, down to first-year students, when you get that opportunity to engage with CREATE-X, take it. You don’t even have to wait until capstone, as there are multiple pathways; in fact, Startup Lab has no prerequisites. Whatever path you take, you’ll remember it for years to come. Whether you officially take a problem solution to market or not, the entrepreneurial confidence gained is priceless.”

Spreading CREATE-X Into the College of Computing

By 2020, when the first Jim Pope Faculty Fellowship cohort opened, applying felt natural. He had already become an unofficial ambassador for CREATE-X, helping students navigate options, promoting programs in classes, and rallying colleagues to engage.

“It was an opportunity to become more connected to this thing that I felt was changing the game on campus,” he said. “It cemented my affiliation with CREATE-X.”

The fellowship gave name and weight to the work he was already doing, while also expanding what was possible.

The Jim Pope Faculty Fellowship provides faculty with $15,000 in discretionary funding, which can support a one-semester break from teaching, along with structured training in evidence‑based entrepreneurship, dedicated mentorship, and the opportunity to work closely with students launching startups.

The fellowship also equips faculty to become entrepreneurial instructors and mentors through the CREATE‑X ecosystem, giving them tools to integrate entrepreneurship into their coursework and curricula. Each cohort of fellows is trained to embed entrepreneurial methods, develop new innovation‑focused assignments, and serve as advisors within programs like Startup Lab, Idea‑to‑Prototype, and Startup Launch.

For faculty across Georgia Tech, the fellowship offers something rare: institutional backing, resources, and formal recognition for bringing entrepreneurship into their teaching and shaping how students learn to become problem‑solvers.

Omojokun said he sees CREATE-X as the apex of applying technical fundamentals. 

As part of the fellowship, Omojokun brought the program’s ethos into his courses, even a foundational course like CS 1331: Introduction to Object Oriented Programming, where he created a CREATE-X–branded final project. Students built a “problem database” application as their final homework assignment, cataloging real issues they encountered in daily life, assessing their skills to solve them, evaluating markets and metrics, and then deciding potential pathways forward.

“It’s an innovation diary,” he said. “A tool that can get them closer to thinking like a founder.”

The response from students, including many non-computing majors who take his section each semester, has been overwhelmingly positive. While the project is challenging, the open-ended nature and real-world relevance motivate deeper engagement. 

“When students believe their work will solve a meaningful problem for a meaningful population, they bring passion to it,” he said. “They start observing the world differently.”

The more Omojokun saw, the deeper his enthusiasm grew.

Shaping the College of Computing

Even as he stepped into the role of inaugural chair of the School of Computing Instruction in 2022, CREATE-X remained at the forefront of Omojokun’s conversations. Interest in the program continued to grow significantly. Students stopped him in the hallways to talk about their ideas. Faculty reached out to ask about mentorship opportunities. And he continued championing the program in the many settings he entered.

“It turns out that the most engaged group of students in CREATE-X is computing undergraduates,” Omojokun said. “I wanted to make sure that high involvement continued, no matter what size we are,” he said.

Over time, Omojokun strengthened the partnership between the College of Computing and CREATE-X, weaving entrepreneurship deeper into the College's curricular fabric.

Last January, Omojokun was appointed as the associate dean for Undergraduate Education in the College of Computing. One of his priorities was highlighting CREATE-X’s curricular impact. In coordination with key stakeholders — including Kelly Ann Fitzpatrick (computing), Craig Forest (mechanical engineering), and Raul Saxena (CREATE-X) — he nominated the program for the ABET Innovation Award.  The award honors programs that challenge the status quo in technical education and demonstrate a measurable impact on student learning in ABET-accredited disciplines, such as natural sciences, computing, engineering, and engineering technology. CREATE-X won.

The CREATE-X Advantage With Faculty 

When faculty are considering something like the Jim Pope Fellowship, Omojokun said the biggest barrier he hears about from them is time. With courses that can enroll 300 students per section and extensive responsibilities beyond the classroom, time is a scarce resource.
He could relate. 

“There are always lots of things on my physical and virtual desktop. I always warn people before they enter my office,” he said.

However, Omojokun argued that participating in the fellowship program was time well spent because it helps them rediscover the most exciting parts of teaching.

“It’s worth the time. One of the goals of teaching is to see students passionate about what they’re learning, and CREATE-X makes that happen consistently,” he said. 

The Future With Technology

As AI reshapes industries, Omojokun believes that CREATE-X equips students to navigate the unknown and forge new paths as existing ones shift, providing a versatile skill set that transfers to employment, potentially self-employment, and beyond. 

“There’s a lot of uncertainty with AI in the workspace, but CREATE-X gives students the confidence and skills to succeed at whatever comes,” he said. “We are putting students through this process of finding a problem that’s meaningful and matters to the world; mastering that allows them to lead in any environment.”

Applications Now Open: Become a Jim Pope Faculty Fellow

The 2026 Jim Pope Faculty Fellowship is now accepting applications. For faculty who want to explore integrating entrepreneurship into their teaching, mentoring student founders, and helping shape a culture of innovation across campus, this fellowship offers resources and a supported pathway to begin. Faculty from all disciplines are encouraged to apply to the Jim Pope Fellowship. Priority deadline: July 1; final deadline: Aug. 11.

Before dawn on March 1, 2026, Iranian Shahed drones struck two Amazon Web Services data centers in the United Arab Emirates. A third commercial data center in Bahrain was hit, though it is less clear whether it was deliberately targeted. This is the first time that a country has deliberately targeted commercial data centers during wartime.

Iran state media issued a statement on March 31 that it will target American companies, including Microsoft, Google, Apple, Meta, Oracle, Intel, HP, IBM, Cisco, Dell, Palantir and Nvidia. The Financial Times reported that an additional Iranian drone struck an Amazon data center in Bahrain on April 1. And Iranian state media claimed that Iranian forces attacked an Oracle data center in Dubai on April 2.

Iran has also been on the receiving end of such attacks. A data center in Tehran operated by Iran’s state-run Bank Sepah was struck by a missile – apparently fired by U.S. or Israeli forces – on March 11, according to a report in The Jerusalem Post.

Data centers have been targets of espionage and cyberattacks in the past, notably when Ukrainian hackers destroyed data stored in a Russian military-affiliated data center in 2024. These strikes in the Persian Gulf region, however, were physical attacks. Drones damaged buildings.

Advances in artificial intelligence have increased the importance of data centers. The U.S. military, in particular, has made great use of AI systems for decision support in its attacks on Iran and Venezuela. Given how important data centers are, Iranian forces could be targeting the infrastructure Iran’s leaders believe is supporting strikes on Iran.

It is not altogether clear that these particular data centers were used by the U.S. military. Instead, the attacks may have been part of a broader effort to punish the United Arab Emirates for its ties with the U.S.

In my experience as a Ph.D. candidate at Georgia Tech studying how technology drives changes in international security, I don’t think the attacks signal any significant change in the nature of warfare. But they are forcing nations to recognize that data centers are targets of war – even if they don’t directly support military operations.

Data Centers and the Cloud

The United States military is increasingly incorporating advanced AI capabilities into its decision support systems. From the operation to capture Venezuelan President Nicolás Maduro to supporting military strikes against Iran, the U.S. has been using AI, especially Anthropic’s Claude, for intelligence analysis and operational support.

AI is unlocking faster ways to carry out operations in war, but the AI tools the military often uses are not located on a plane or ship. When a service member uses Claude, the computing infrastructure that powers the model and its analysis usually goes to a secure Amazon Web Services cloud that hosts secret government data and software tools.

Commercial data centers are where the cloud lives. The next time you pull up Netflix and watch your favorite shows, you are likely streaming the programming from a data center, possibly AWS. When AWS data centers go down, outages affect all sorts of entertainment, news and government functions.

With AI as a driver of economic growth, data centers are key forms of infrastructure. They ensure that AI can continue to run, as well as much of the underlying internet that governments and industry rely on. When Iran attacked the UAE’s data centers, it caused widespread disruption to the local banking system.

Commercial data centers enable most of the technology that runs the modern world, including AI systems. Disrupting them is key to disrupting a country’s military and society. Given that AWS provides and operates many of the commercial data centers where the cloud lives, it is likely that its data centers will continue to be targeted in conflict.

Going After US Allies

Researchers at Just Security noted on March 12, 2026, that the United States requires cloud-computing service providers to store government and military data within the U.S. or on Department of Defense bases: “Moving such data to Amazon data centers in the Gulf region would require special authorization; we are unaware if that has been granted.”

Nevertheless, Iran’s Islamic Revolutionary Guard Corps claimed the strikes were against data centers supporting “the enemy’s” military and intelligence activities. And 10 days after the initial attack on the data centers, an Iranian news agency claimed that major tech company data centers and other physical assets in the region were considered “enemy technology infrastructure.”

Instead of military reasons, Iran may well have targeted the UAE to rattle the global economy and garner attention. Given the prominence of the Gulf as a major recipient of U.S. technological investment, the attack may also have been a symbolic one aimed at the heart of U.S.-Gulf cooperation. AI infrastructure such as commercial data centers is a growing part of U.S. leadership in the region, and this war could jeopardize the future of AI infrastructure in the Gulf.

Growing Importance, Easy Targets

Though data centers are increasingly important for national security, the economy and society at large, it can be tempting to suggest these strikes represent a fundamental shift in the nature of war. While that is a possibility, it is important to remember that Iran launched thousands of missiles and drones at targets in the UAE and Bahrain. Though the vast majority were intercepted, the four that struck data centers are a small portion of the ones that got through to civilian targets in those countries, including strikes on airports and hotels.

The relative vulnerability of commercial data centers – they are large, relatively fragile and lack dedicated air defenses – suggests that the ones in the UAE and Bahrain may have been targets of opportunity or convenience. In other words, they were hit because they could be hit.

Nevertheless, it seems likely that as the use of AI tools and other cloud-based resources continues to grow in importance for countries around the world, commercial data centers will be targets in future conflicts.

This article has been updated to include news of Iran’s statement about targeting U.S. tech companies and subsequent drone strikes on other data centers.

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

This week, the Board of Regents (BOR) of the University System of Georgia (USG) approved budget allocations and tuition and fee rates for its 25 member institutions. Pending approval of the state’s Fiscal Year 2027 budget by Gov. Brian Kemp, Georgia Tech will receive nearly $639 million in total state appropriations. In addition, the BOR approved limited systemwide tuition increases for undergraduate and graduate programs. This includes a 1% in-state tuition increase and a 3% tuition increase for out-of-state and out-of-country students for the upcoming fiscal year (FY27). 

Georgia Tech students will once again take part in a national competition that connects them directly with automotive industry leaders to develop the next generation of mobility innovations. 

Coca-Cola, a neighbor to Georgia Tech since 1920, expects to sell a building and adjacent land in a transaction valued at $31.3 million. The company chose to work directly with Georgia Tech on the planned transaction, reflecting the long-standing relationship between the two organizations and a shared commitment to Atlanta’s continued growth and innovation.

The expected sale includes a two-story brick building, part of Coca-Cola’s holdings since 1988, and an adjoining two-acre park along North Avenue. 

“This strategic addition to our core campus will support our growth in enrollment and research activity for years to come,” said Georgia Tech President Ángel Cabrera. “I appreciate our long relationship with The Coca-Cola Company that allowed us to pursue this opportunity as we continue to invest in our campus, our neighborhood, and Atlanta’s innovation ecosystem.”  

James Quincey, Coca-Cola’s executive chair and Georgia Tech’s 2020 Commencement speaker, said the company wanted the property to continue contributing to Atlanta’s innovation ecosystem.

“When we decided this space was no longer needed for our corporate campus, our goal was to work with Georgia Tech, as this site offers a great opportunity for them to expand,” Quincey said. “Coca-Cola has a long legacy of involvement and partnership with Georgia Tech, and we are excited to see them redevelop this important area in Atlanta.”

Georgia Tech will evaluate how the property can best support academic, research, and student needs as part of its long-term campus planning efforts. The acquisition represents a strategic step in ensuring Georgia Tech has the space needed to educate future leaders and advance research that strengthens Georgia’s economy.

About Georgia Tech

The Georgia Institute of Technology, or Georgia Tech, is one of the top public research universities in the U.S., developing leaders who advance technology and improve the human condition.

The Institute offers business, computing, design, engineering, liberal arts, and sciences degrees, as well as professional development and K-12 programs for fostering success at every stage of life. Its more than 56,000 undergraduate and graduate students represent 54 U.S. states and territories and more than 146 countries. They study at the main campus in Atlanta, at instructional sites around the world, 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 The Coca-Cola Company

The Coca-Cola Company (NYSE: KO) is a total beverage company with products sold in more than 200 countries and territories. Our company’s purpose is to refresh the world and make a difference. We sell multiple billion-dollar brands across several beverage categories worldwide. Our portfolio of sparkling soft drink brands includes Coca-Cola, Sprite, and Fanta. Our water, sports, coffee, and tea brands include Dasani, smartwater, vitaminwater, Topo Chico, BODYARMOR, Powerade, Costa, Georgia, Fuze Tea, Gold Peak, and Ayataka. Our juice, value-added dairy, and plant-based beverage brands include Minute Maid, Simply, innocent, Del Valle, fairlife, and Santa Clara. We’re constantly transforming our portfolio, from reducing sugar in our drinks to bringing innovative new products to market. We seek to positively impact people’s lives, communities, and the planet through water replenishment, packaging recycling, sustainable sourcing practices, and carbon emissions reductions across our value chain. Together with our bottling partners, we employ more than 700,000 people, helping bring economic opportunity to local communities worldwide. Learn more at www.coca-colacompany.com and follow us on Instagram, Facebook, and LinkedIn.

The Earth and the Moon may look very different today, but they formed under similar conditions in space. In fact, a dominant hypothesis says that the early Earth was hit by a Mars-sized object, and it was this giant impact that spun off material to form the Moon. But unlike Earth, the Moon lacks plate tectonics and an atmosphere capable of reshaping its surface and recycling elements such as oxygen over billions of years.

As a result, the Moon preserves a record of the geological conditions that helped shape it and can give scientists insight into the world we live in today. Rocks that were formed during early volcanic activity on the Moon offer a window into events that occurred nearly 4 billion years ago. By uncovering the conditions under which the Moon’s rocks formed, scientists move closer to understanding the origins of our own planet.

In a study published March 2026 in the journal Nature Communications, our team of physicists and geoscientists investigated ilmenite, a mineral composed of iron, titanium and oxygen, in a Moon rock crystallized from an ancient lunar magma. We used cutting-edge electron microscopy to probe the chemical signature of titanium in this ilmenite, finding that about 15% of the titanium carries less of an electrical charge than expected.

Implications of Trivalent Titanium

In ilmenite, an atom of titanium typically loses four electrons when bonding with oxygen, resulting in a positive charge of 4+, known as the atom’s oxidation number. From the sample we studied, a rock collected during the Apollo 17 mission, we found that some of the titanium in ilmenite actually has a charge of only 3+, referred to as trivalent titanium. Our measurement of trivalent titanium confirms what geologists had long suspected: that some titanium in lunar ilmenite exists in a lower charge state.

Trivalent titanium occurs only when the amount of oxygen available for chemical reactions is low. Thus, the abundance of trivalent titanium in ilmenite could tell us about the relative availability of oxygen in the Moon’s interior when the rock formed, around 3.8 billion years ago.

A Link to the Moon’s Early Chemistry

Our team has closely studied only one Moon rock so far, but from published studies we have identified more than 500 analyses of lunar ilmenite that could contain trivalent titanium. Studying these samples could reveal new details about how the Moon’s chemistry varies across different locations and time periods.

While our work highlights a link based on prior studies, the relationship between trivalent titanium in ilmenite and oxygen availability has not yet been quantified with targeted experimental data.

By conducting experiments that explore that link, ilmenite could reveal more details about the Moon’s interior. We also expect this relationship to apply to other planets and asteroids that don’t contain much chemically available oxygen, relative to Earth.

What’s Next?

These methods can be used to study many Moon rocks collected during the Apollo missions over 50 years ago, as well as future samples from upcoming Artemis missions, or rocks collected from the far side of the Moon, returned in 2024 by China’s Chang’e-6 mission.

One of our team members plans to use their new experimental lab to explore how oxygen availability in magma affects the abundance of trivalent titanium in ilmenite. With experiments like this that build off our findings, we could potentially use ilmenite to reconstruct the history of ancient magmas from the Moon.

We believe future studies of lunar rocks using advanced scientific methods are essential for revealing the chemical conditions present on the ancient Moon. They could offer clues not only to its own history but also to the earliest chapters of Earth’s past – records that have since been erased from Earth.

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

“We certainly didn’t think of ourselves as pioneers,” says Whatley. “We were just trying to get through.”

Today, Whatley is no longer a hidden figure as she is now recognized for her trailblazing role.  She has been honored by the Institute’s Pathway of Progress art installation, Women of Distinction Award, and scholarship endowment established by the Georgia Tech Black Alumni Organization.

As Georgia Tech celebrates Women’s History Month, Whatley’s barrier-breaking legacy is a reminder of how women in STEM expand what’s possible, not only for themselves, but for those who follow.

Following the math path

Whatley grew up in Chubbtown, a self-sufficient Black community established pre-Civil War in Cave Spring, Georgia. The first Black valedictorian of Cave Spring High School after desegregation, she loved math from an early age. Whatley often tagged along with her father who was always building or fixing something — inspiring her to use numbers to solve problems.

She majored in math at Clark (now Clark Atlanta University), graduating magna cum laude. Encouraged to attend a predominantly white institution for graduate school by Joseph James Dennis, head of Clark’s Mathematics department, Whatley and Hammonds applied to Georgia Tech and Emory University. Tech responded first with an unexpected bonus: a teaching assistantship.

“Earning money to teach math and help pay for school appealed to me,” she shares.

Finding her footing at Tech

Entering the Institute as one of the few Black women on campus came with challenges. Whatley enrolled only nine years after Georgia Tech became the first university in the Deep South to admit African American students without a court order. 

“I’m not sure they wanted us there,” she admits. “But I wasn’t nervous. I was excited to learn more math — and teach it as well.”

As a graduate teaching assistant, Whatley taught undergraduate calculus, algebra, and trigonometry. Students were often surprised to see her at the front of the classroom, as most instructors were white males. She remembers professors who encouraged her, particularly her advisor Professor Emeritus Robert Kasriel.

“He believed in me, especially my knowledge of math,” Whatley says. “He encouraged me to speak up with confidence.”

Another professor pushed her to contest a grade he felt was unfair. She chose instead to stay focused on completing her degree. Despite the obstacles, Whatley remembers her time at Tech fondly. “I really enjoyed the classroom interaction with the undergraduates and teaching subjects I loved.”

She appreciates the toughness of the education she received. “Georgia Tech rewards tenacity. If you can make it through here, you can make it through just about anything — and that problem‑solving confidence stays with you.”

Choosing to serve

After graduation, Whatley joined BellSouth as a junior engineer, working on depreciation studies and writing early computer programs in Basic and Fortran.

“I took a class at Morehouse to learn programming. We used ticker tape, punch cards, and computers that took up an entire room,” remembers Whatley.  

She spent 22 years at BellSouth, earning frequent promotions. Her career shifted into a new direction when she heard a radio request for tutors at Marietta Junior High School. She volunteered and began working with several students, including a middle school girl who still counted on her fingers. Whatley guided her toward more confident problem-solving. “All she needed was someone to take the time to work with her.”s.

Tutoring became a catalyst for change. Motivated by the difference she could make, she left corporate America.

Expanding her impact

After obtaining certification from Mercer University, she became a high school math teacher. Whatley planned to teach for just three years but stayed for four after her advisement class of ninth graders begged her to stay until they graduated. 

Committed to expanding her impact, Whatley earned an educational specialist degree from the University of West Georgia and a Ph.D. in Educational Studies from Emory University. While at Emory, she began an educational consulting career,  launching Educational Dynamix, a nonprofit firm focused on learning and development for children and educators. Her consulting work also explored the connections between music and mathematics — helping educators and parents use both to strengthen student learning.

“Teaching math was satisfying,” says Whatley. “I enjoyed going into a class where students — or their teachers — didn’t believe in their ability to do math and showing them that they could do it.”

Whatley smiles and clarifies: “When I went into education, whether I was working with students, training teachers, or helping make changes in organizational structures, I found my passion. Looking back, hopefully, I made some lives better overall.”

 Sharing family history

Whatley’s influences are felt beyond the classroom. She is the author of several books, including The Chubbs: A Free Black Family’s Journey From the Antebellum Era to the Mid-1900s, which grew out of her family’s history. Whatley began this research while assisting with media features on her cousin, University of Georgia football star Nick Chubb.

Researching her family’s story led to a surprising discovery: a crumpled bill of sale for an enslaved girl that her son tucked into her grandmother’s old trunk. That document — and the stories surrounding it — propelled her to write the book and preserve Chubbtown’s history for future generations. 

Reflecting on a legacy

Whatley says faith and family are the most important things in her life. She has been married to her husband, Melvin, for 55 years. Her daughter, son, and several relatives also attended Georgia Tech, with her daughter running track and cross country and her son playing football. “We’re a Yellow Jacket family with one Bulldog granddaughter,” she says with a smile.

Today, Whatley is honored to have the recognition that came years after graduation. “What I went through wasn’t in vain. It feels good to know that I opened some doors and helped others along the way.”

As during previous editions, this year’s conference featured more than two dozen scientists, engineers, policy experts, and thought leaders from Georgia Tech and beyond, illustrating how collaboration across fields – from science and engineering to public policy and international affairs – helps to advance strategic research priorities. 

“Frontiers is about discovery and connections across disciplines and generations,” says Susan Lozier, dean of the College of Sciences and Betsy Middleton and John Clark Sutherland Chair. “This edition provided an inspiring glimpse into the future of space exploration and the many ways Georgia Tech is contributing to research and missions seeking answers to what lies beyond our planet.” 

Commitment to Space

Space research is a key institutional priority at Georgia Tech, which is home to numerous academic and research programs in planetary sciences, robotics, mission design, space policy, and other areas. 

The recently established Space Research Institute (SRI) serves as the central hub connecting the broad range of space-related research across campus. Led by Jud Ready, who also serves as principal research engineer at the Georgia Tech Research Institute, SRI has expanded support for space research and commercialization through initiatives such as the CreationsVC Space Fellows Program and Centers, Programs, and Initiatives seed grant program.

SRI’s efforts are in line with Georgia Tech’s long-standing contribution to space exploration. Hundreds of Yellow Jacket alumni work in the space sector, including several graduates who are playing key roles in the Artemis program. To date, more than a dozen Georgia Tech alumni have traveled to space.

Exploring the Final Frontier

The conference featured a series of panels and discussions led by faculty and researchers from the Colleges of Sciences and Engineering as well as the Ivan Allen College of Liberal Arts. 

Sessions explored how researchers are studying the processes and conditions that support planetary habitability, seeking to answer one of humanity’s greatest questions: Does life exist beyond Earth? Speakers also examined how analog fieldwork in Earth’s extreme environments can inform space exploration, and how space research, in turn, can deepen our understanding of our own world.

Additional conversations centered on building better space missions through improved understanding of team and individual resilience, data collection, navigation, and the development of advanced technologies like the robots developed through the NASA LASSIE Project. 

Frontiers also highlighted Georgia Tech’s commitment to preparing the next generation of space scientists, engineers, and leaders. Student training and engagement were recurring themes throughout the day, with speakers emphasizing opportunities for student-led and student-run missions and research. A panel of Georgia Tech alumni shared their own STEM career journeys, challenging the idea of “one right path” to success — and acknowledging the resources and opportunities available at the Institute. 

A highlight of the conference was a fireside chat with Atlanta-native, retired U.S. Army Colonel and NASA Astronaut R. Shane Kimbrough (M.S. Operations Research 1998). Kimbrough, who spent a total of 388 days in space and performed nine spacewalks across three missions, reflected on his career and the evolution of spaceflight. He emphasized the expanding role of public-private and international partnerships in advancing ambitious goals, such as creating a permanent human outpost on the Moon. 

Policy and Public

The conference also explored how policy influences space discovery and innovation, with discussions touching on such issues as space security, access, governance, sustainability — and the influence of technology and science fiction on public perception and policy. 

Panelists described current policy frameworks governing outer space as struggling to keep pace with rapidly advancing technologies and expanding activities. According to these experts, increasing tensions among commercial, research, and recreational uses of space call for greater coordination among private and government entities to balance competing priorities while maximizing opportunities for innovation and exploration. 

The conference was punctuated by a networking lunch connecting attendees with Atlanta’s public astronomy community – including partners at several universities and the Georgia Tech Astronomy Club, which set up telescopes for attendees to safely observe the sun. Later that evening, the Georgia Tech Observatory hosted its Public Night, welcoming the broader Atlanta community to campus for telescope views of Jupiter, the Orion Nebula, and other celestial bodies. 

The Observatory Night was a fitting conclusion to a full day focused on Georgia Tech’s commitment and contributions to inspiring future generations of space explorers through research, education, and outreach. 

Experience the Frontiers conference in pictures on the College of Sciences’ Flickr account.

“It was frustrating, but it showed me how many people were being left out of the digital world,” Espinosa said. “In Colombia, only about two out of 10 people have a credit card. Cash is the main form of payment, but everything online requires digital access.”

That gap sparked the idea that would evolve into Loto Punto, a fintech startup building self-service kiosks to bridge the physical and digital worlds for unbanked communities. 

From a Single Problem to a Scalable Platform

Espinosa began his startup as an online platform for buying lottery tickets. He saw that customers didn’t trust the idea of a digital receipt because they were used to a printout, so he pivoted to a kiosk similar to the ones in U.S. grocery stores. Customers could walk up, insert cash, and print a lottery ticket instantly. 
“It worked, but it had a ceiling,” Espinosa said. “It only served people buying lottery tickets. We knew it wouldn’t scale.”

To address this, he expanded the kiosks to handle mobile phone top-ups, bill payments, and basic banking services. Then, in 2024, the company incorporated advanced technologies such as biometric recognition and blockchain. Stellar Blockchain, first a partner, later became an investor of the startup, which helped Loto Punto to enable low-cost, real-time digital transactions and remittances. 

Now, users can convert physical cash into digital value or withdraw cash from digital wallets through a single machine.

A Global Solo Founder

Espinosa is the sole founder of Loto Punto, supported now by a 10‑person team of highly specialized engineers, designers, and manufacturing experts. He is currently pursuing his master’s degree in computer science at Georgia Tech while leading the company through its next chapter as part of the CREATE-X Startup Launch Spring 2026 cohort. 

Finding CREATE-X and Finding a Community

Espinosa learned about CREATE-X during his first semester at Georgia Tech. In 2024, CREATE-X widened its Startup Launch program to include a spring cohort to give founders, particularly graduating seniors, another chance to go all-in on developing their startup.

Espinosa admits he didn’t expect much when he first learned about the program.

“I didn’t know universities had programs like this. In Colombia, we don’t have accelerators embedded inside universities with venture support and dedicated staff,” he said. “So, I assumed CREATE X would be small, maybe one office helping a few students.”

What Espinosa found was different.

“They’re leveraging every resource that Georgia Tech offers. They can help with any challenge by tapping the doors of the network they already have established,“ he said. “It’s an ecosystem.”

As a part of the Startup Launch program, CREATE-X brings in founders from its ecosystem to speak to participants and give them actionable insights — founders who have raised funds, been acquired, and have had other successes as entrepreneurs. 

“That’s different,” Espinosa said. “They’ve brought successful founders who have walked the talk. It’s different to interact with somebody who was already successful in doing what you’re doing.”

Testing, Measuring, and Learning Through Startup Launch

Even as a remote participant, Espinosa has connected well with his mentor, who meets with him weekly, and his mini-batch. During the program, startup teams are grouped together. They share their strategies, successes, and struggles as they develop throughout the program. Teams have weekly sprints where they focus on one or two activities and then measure those activities, which Espinosa said is helpful for maintaining focus and actually executing on ideas.

“If you, as an entrepreneur, start thinking of the whole world of activities that you must do to get somewhere with your startup, you won’t start,” he said. “By creating attainable goals, step by step, that’s how it compounds to reach bigger goals. But, you have to begin with something.”
Teams are also encouraged to take calculated risks.

“CREATE-X gives us a safe environment to test ideas,” Espinosa said. “As an entrepreneur, it’s a lonely road, but having someone who has been in your shoes before, it makes you brave to try things.”

One of the first major tests he shared with the cohort was an ad campaign timed around the Super Bowl. In Startup Launch, Espinosa learned how to structure the experiment: defining KPIs, iterating audiences, and evaluating performance compared to industry benchmarks.

“We got around 45,000 views and above-average click-through rates,” he said. “But the biggest lesson was that brand awareness alone can’t be our only marketing strategy.”

Espinosa said his mentor helped open doors for him and kept him accountable, and the program itself kept him from being overwhelmed by all that a founder has to do.

“In Startup Launch, you see how different approaches fit different phases,” he said. “They’re creating a path to grow and execute on your goals as a founder.”

Why Now Is the Easiest Time to Build

Espinosa also emphasized that the tools to build and test ideas have never been more accessible.

“When I started, we didn’t have AI. You had to do everything by hand. It was harder, and it took more resources,” he said. “Right now, it’s a matter of prompting. In one hour, you can file for a grant. Before, it took at least a week to get your documents together.”

He said the ability to test quickly and learn has also become inexpensive.

“You don’t need millions of dollars to do this,” Espinosa said. “It's very cheap to fail, right? If that doesn't work, you can just try again in the morning.”

Above all, Espinosa encouraged budding founders to take advantage of the opportunities around them.

“As a founder, you must tap every door that you have available to you. You have to explore different paths,” he said. “Some of those are networking, some are physical space, some are interest. Get your hands on every single resource that comes your way.”

Looking Ahead: The Future of Payments

As he thinks about where the finance world is going, Espinosa said the payments industry is rapidly converging toward blockchain, stablecoins, and faster, frictionless user experiences.

“We’re seeing a lot of movement around stablecoins. We’re seeing resource flow from one country to another. We believe things are converging to leverage blockchain and driving down the cost of moving money,“ he said. “That’s how we see the future of our industry.”

Meet Loto Punto and the Spring Cohort at Startup Launch Showcase

Espinosa will travel to Atlanta for the first time in May to present Loto Punto at the CREATE-X Spring Startup Launch Showcase, where the public can meet founders and see their ventures firsthand. The event will be held in The Biltmore Ballrooms on Thursday, May 21, from 5 to 7 p.m.

The showcase will feature dozens of startups built by Georgia Tech students and alumni. Tickets are free but limited. Register for the showcase today to grab your spot.
 

For the third consecutive year, Georgia Tech has secured a spot on Forbes’ list of New Ivies, showcasing the Institute’s strong reputation among employers.  

Now in operation for more than a decade, the CFO of the Year Awards honor exceptional chief financial officers across metro Atlanta who demonstrate excellence in financial leadership, strategic decision-making, and organizational stewardship. Each year, the Atlanta Business Chronicle recognizes finalists and winners whose work strengthens their organizations and supports long-term sustainability amid evolving economic and operational challenges.

Toatley’s selection as a finalist places her among a distinguished group of financial leaders across the region and marks only the second time a Georgia Tech leader has been named a finalist for this prestigious award.

“Kim’s recognition as a finalist for CFO of the Year reflects her exceptional leadership, integrity, and deep commitment to stewarding Georgia Tech’s resources in support of the Institute’s academic and research mission and dedicated service to the Georgia Tech campus community,” said Tricia Chastain, executive vice president for Administration and Finance. 

Since assuming her current role in 2025, Toatley has provided strategic oversight of Georgia Tech’s financial and budget operations, ensuring fiscal integrity and operational excellence across the Institute. Her work is grounded in her strong commitment to responsible stewardship, transparency, and making a meaningful impact on the Institute, its partners, and the greater community.

Toatley brings more than three decades of leadership experience at Georgia Tech and the Georgia Tech Research Institute, having served in a wide range of senior finance, accounting, research administration, and operational roles throughout her career. She has played a central role in strengthening financial and research administration practices and supporting the Institute’s ability to sustain complex, externally funded research. In her current role, she continues to guide Georgia Tech through periods of significant institutional and governance transition. 

Toatley holds a Bachelor of Science in Management from Georgia Tech and an MBA from Georgia State University. She has often noted that her experience as a student deepened her connection to Georgia Tech and shaped her commitment to higher education. Her recognition as a finalist reflects not only her leadership but also the collective work of teams across Georgia Tech and the vital role strong financial stewardship plays in advancing the Institute’s academic and research priorities. 

The CFO of the Year Awards ceremony will take place on Thursday, May 21.

Four finalists have been chosen in the search for Georgia Tech’s next dean of the College of Engineering and Southern Company Chair. The candidates will visit campus throughout April to present a seminar addressing their broad vision for the College. 

On April 2, Georgia Tech launched its new Institute for Technology and Civic Leadership with a symposium built around a simple idea. Society benefits when people are willing to listen, especially to those who disagree with them. 

IT professionals from across Georgia Tech came together March 25 for the 2026 OneIT Spring Symposium, a daylong event at the Ferst Center for the Arts that highlighted campuswide technology initiatives, strategic discussions, and updates on projects shaping the Institute’s technology landscape. Hosted by the OneIT leadership committee, the event marked a milestone in the group’s ongoing efforts to strengthen collaboration and build a more connected IT community across the campus. 

College of Engineering

Georgia Tech’s College of Engineering remained among the nation’s elite, ranking No. 4 overall in Best Engineering Schools and maintaining its position among the top institutions nationwide.

Several engineering disciplines continued to rank among the nation’s best, with multiple programs placing in the top five. The College’s consistent performance reflects its leadership in research, innovation, and graduate training that closely aligns with industry and global challenges.

Top engineering rankings include:

• No. 1 Industrial, Manufacturing, and Systems Engineering
• No. 1 Biomedical Engineering (tied), up from No. 2
• No. 2 Aerospace Engineering
• No. 3 Civil Engineering
• No. 3 Mechanical Engineering (tied), up from No. 5
• No. 4 Environmental Engineering
• No. 5 Chemical Engineering (tied)
• No. 5 Computer Engineering (tied)

College of Computing

Georgia Tech continued to demonstrate national strength in computing, ranking No. 7 overall among Best Computer Science Schools in the 2026 rankings.

Notable computing rankings include:

• No. 5 Artificial Intelligence, up from No. 6
• No. 6 Systems (tied)
• No. 13 Theory (tied)
• No. 15 Programming Language

These rankings reflect Georgia Tech’s leadership in emerging and foundational computing technologies, as well as its role in applying computation across disciplines to address real‑world challenges and strengthen industries.

Ivan Allen College of Liberal Arts

Graduate programs at the Jimmy and Rosalynn Carter School of Public Policy earned strong national placements in the 2026 rankings, highlighting the school’s growing visibility at the intersection of technology, policy, and governance.

Highlights include:

• No. 2 Information and Technology Management (tied)
• No. 10 Environmental Policy and Management (tied)
• No. 23 Public Policy Analysis (tied), up from No. 26

Scheller College of Business

The Scheller College of Business continued its momentum in the 2026 rankings, earning a No. 9 national ranking in Best Part-Time MBA Programs, rising from No. 10 last year.

Scheller also received recognition across a range of graduate business disciplines, with several programs newly ranked in 2026.

Notable Scheller rankings include:

• No. 8 Information Systems (tied)
• No. 15 Supply Chain Management (tied)
• No. 16 Business Analytics (tied)

College of Sciences

Georgia Tech’s graduate programs in the physical sciences earned continued national recognition, reflecting strength in foundational research areas that support advances in engineering, computing, sustainability, and health.

Science program rankings include:

• No. 20 Chemistry (tied)
• No. 22 Physics (tied)
• No. 26 Mathematics (tied)
• No. 29 Earth Sciences (tied), up from No. 33

*Please note that this summary includes the latest rankings issued by U.S. News & World Report for 2026. Not all Georgia Tech Colleges, Schools, and subjects are ranked every year by this organization. 

Every day, food scraps disappear into trash bags, are hauled away and forgotten. But that waste could be turned into something productive.

Across the United States, about 97 million metric tons of food waste are discarded each year, of which about 37 million metric tons end up buried in landfills.

Once underground, that organic material breaks down without oxygen and releases methane, a short-lived yet powerful greenhouse gas.

At the same time, the nutrients and energy stored in that food are permanently lost. But there is a better way. Research my colleagues and I conducted found that communities across the country already operate facilities designed to handle organic matter: wastewater treatment plants. Many larger, well-funded plants already have the infrastructure to process food waste, though not every plant is ready to do so today.

Landfills Are Not Designed for Food Waste

Food waste is fundamentally different from plastics, metals or glass. It’s organic and can decompose naturally. But when it’s placed in a landfill, its decomposition emits significant greenhouse gases.

Modern landfills are designed to capture the methane emitted, but even the most efficient systems still allow almost 58% to escape into the atmosphere. That food waste could be turned into energy or fertilizer, but instead it contributes to global warming.

By contrast, wastewater treatment plants process sewage using microbial communities that naturally break down organic matter. Many also capture methane produced during treatment and convert it into usable energy. Others recover nutrients such as phosphorus that can be turned into agricultural fertilizer. Over time, many plants have evolved from simple sanitation systems into resource-recovery facilities that generate power, reclaim materials and reduce environmental pollution.

These existing systems already process organic matter and could handle food waste, too.

What Happens When Food Waste Goes to a Treatment Plant

Our research examined what would happen if food waste were sent to wastewater treatment plants rather than landfills. We used real data from a full-scale plant that handles food waste along with sewage.

When we compared greenhouse gas emissions for the same food waste composition, we found that sending food to a landfill would emit 58.2 kilograms (129 pounds) of carbon dioxide equivalent per ton of food waste.

In comparison, we looked at a conventional wastewater treatment plant, the type of plant most common in the U.S. It achieved net-negative emissions of –0.03 kilograms (about 1 ounce) of carbon dioxide equivalent per ton of food waste treated. The plant captures over 95% of methane, compared to roughly 50% at landfills, saving the atmosphere from additional greenhouse gases.

But we found that the advanced treatment plant we studied reduced emissions further. In our analysis, the advanced facility achieved net-negative emissions of –0.19 kilograms (about 7 ounces) of carbon dioxide equivalent per ton of food waste treated.

Both conventional and advanced plants achieve these benefits in similar ways. Treating food waste at either type of plant prevents the 58.2 kilograms of carbon dioxide equivalent per ton that would otherwise escape from landfills. The plants capture biogas to generate renewable electricity, reducing the need to purchase power from the grid. They also recover enough nutrients to fertilize about 23 acres of farmland annually, reducing the need for synthetic fertilizers, which require energy-intensive mining and processing.

How the Logistics Work

Getting the food waste to a wastewater plant doesn’t mean people put their food scraps in the drain or grind them up with an in-sink disposal. At the plant we studied, food waste was collected separately, much like recycling or yard waste, and transported by truck to treatment plants. Our emissions calculations don’t include truck emissions, because trucks are used in the other methods of food waste disposal as well.

Some cities already collect food waste by truck to go to composting facilities. San Francisco has done so since 1996. And New York City has the nation’s largest curbside organics collection, which composts food waste from 3.4 million households.

At the southeastern U.S. treatment plant we studied, trucks deliver food waste to a receiving station, where it’s processed to remove plastics, metals and other nonorganic materials before being blended into a slurry with the sewage solids. This mixture is then added to anaerobic digesters – sealed tanks where microorganisms break down organic material.

The methane that is produced is captured to generate electricity and heat. The remaining solid material is rich in nutrients and can be used to produce useful material, such as fertilizer.

We also found that adding food waste did not overload the plant or cause problems in its operation. The facility processed all of the county’s landfilled food waste – 107,320 tons annually, representing 38% of the county’s total food waste generation. Because of food waste’s lower density compared to wastewater, this added only 0.43% to the plant’s daily capacity. The plant consistently met effluent water regulatory standards. And at certain points, treatment efficiency improved as a result of the additional organic material, which supported the system’s biological processes.

The Economics May Surprise Cities

Local officials, as well as taxpayers, are often worried about the potential costs of a project like this. Wastewater treatment is already expensive, and communities’ existing plants may be nearing capacity.

But the economic results from our analysis suggest that handling food waste in wastewater treatment plants can be financially viable. Towns already pay landfills and incinerators what are called “tipping fees,” based on the weight of the waste delivered. Wastewater treatment plants can also charge these fees.

They can also sell, or use themselves, the methane produced and sell the fertilizer. That additional income means plants can make money even if they charge lower tipping fees than landfills.

Not every wastewater plant is ready to accept food waste immediately. The facility we analyzed is large and well equipped. Smaller operations would likely require new or upgraded equipment, which would involve planning and local investment.

The overall finding of our research is that the limitation isn’t technological or financial. The core systems already exist to transform food waste into a recoverable resource: Cities already handle organic material every day. And they operate complex biological treatment systems. Our evidence suggests these facilities could, in fact, handle food waste in ways that are environmentally beneficial and economically realistic.

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

The U.S. military was able “to strike a blistering 1,000 targets in the first 24 hours of its attack on Iran” thanks in part to its use of artificial intelligence, according to The Washington Post. The military has used Claude, the AI tool from Anthropic, combined with Palantir’s Maven system, for real-time targeting and target prioritization in support of combat operations in Iran and Venezuela.

While Claude is only a few years old, the U.S. military’s ability to use it, or any other AI, did not emerge overnight. The effective use of automated systems depends on extensive infrastructure and skilled personnel. It is only thanks to many decades of investment and experience that the U.S. can use AI in war today.

In my experience as an international relations scholar studying strategic technology at Georgia Tech, and previously as an intelligence officer in the U.S. Navy, I find that digital systems are only as good as the organizations that use them. Some organizations squander the potential of advanced technologies, while others can compensate for technological weaknesses.

Myth and Reality in Military AI

Science fiction tales of military AI are often misleading. Popular ideas of killer robots and drone swarms tend to overstate the autonomy of AI systems and understate the role of human beings. Success, or failure, in war usually depends not on machines but the people who use them.

In the real world, military AI refers to a huge collection of different systems and tasks. The two main categories are automated weapons and decision support systems. Automated weapon systems have some ability to select or engage targets by themselves. These weapons are more often the subject of science fiction and the focus of considerable debate.

Decision support systems, in contrast, are now at the heart of most modern militaries. These are software applications that provide intelligence and planning information to human personnel. Many military applications of AI, including in current and recent wars in the Middle East, are for decision support systems rather than weapons. Modern combat organizations rely on countless digital applications for intelligence analysis, campaign planning, battle management, communications, logistics, administration and cybersecurity.

Claude is an example of a decision support system, not a weapon. Claude is embedded in the Maven Smart System, used widely by military, intelligence and law enforcement organizations. Maven uses AI algorithms to identify potential targets from satellite and other intelligence data, and Claude helps military planners sort the information and decide on targets and priorities.

The Israeli Lavender and Gospel systems used in the Gaza war and elsewhere are also decision support systems. These AI applications provide analytical and planning support, but human beings ultimately make the decisions.

The Long History of Military AI

Weapons with some degree of autonomy have been used in war for well over a century. Nineteenth-century naval mines exploded on contact. German buzz bombs in World War II were gyroscopically guided. Homing torpedoes and heat-seeking missiles alter their trajectory to intercept maneuvering targets. Many air defense systems, such as Israel’s Iron Dome and the U.S. Patriot system, have long offered fully automatic modes.

Robotic drones became prevalent in the wars of the 21st century. Uncrewed systems now perform a variety of “dull, dirty and dangerous” tasks on land, at sea, in the air and in orbit. Remotely piloted vehicles like the U.S. MQ-9 Reaper or Israeli Hermes 900, which can loiter autonomously for many hours, provide a platform for reconnaissance and strikes. Combatants in the Russia-Ukraine war have pioneered the use of first-person view drones as kamikaze munitions. Some drones rely on AI to acquire targets because electronic jamming precludes remote control by human operators.

But systems that automate reconnaissance and strikes are merely the most visible parts of the automation revolution. The ability to see farther and hit faster dramatically increases the information processing burden on military organizations. This is where decision support systems come in. If automated weapons improve the eyes and arms of a military, decision support systems augment the brain.

Cold War era command and control systems anticipated modern decision support systems such as Israel’s AI-enabled Tzayad for battle management. Automation research projects like the United States’ Semi-Automatic Ground Environment, or SAGE, in the 1950s produced important innovations in computer memory and interfaces. In the U.S. war in Vietnam, Igloo White gathered intelligence data into a centralized computer for coordinating U.S. airstrikes on North Vietnamese supply lines. The U.S. Defense Advanced Research Projects Agency’s strategic computing program in the 1980s spurred advances in semiconductors and expert systems. Indeed, defense funding originally enabled the rise of AI.

Organizations Enable Automated Warfare

Automated weapons and decision support systems rely on complementary organizational innovation. From the Electronic Battlefield of Vietnam to the AirLand Battle doctrine of the late Cold War and later concepts of network-centric warfare, the U.S. military has developed new ideas and organizational concepts.

Particularly noteworthy is the emergence of a new style of special operations during the U.S. global war on terrorism. AI-enabled decision support systems became invaluable for finding terrorist operatives, planning raids to kill or capture them, and analyzing intelligence collected in the process. Systems like Maven became essential for this style of counterterrorism.

The impressive American way of war on display in Venezuela and Iran is the fruition of decades of trial and error. The U.S. military has honed complex processes for gathering intelligence from many sources, analyzing target systems, evaluating options for attacking them, coordinating joint operations and assessing bomb damage. The only reason AI can be used throughout the targeting cycle is that countless human personnel everywhere work to keep it running.

AI gives rise to important concerns about automation bias, or the tendency for people to give excessive weight to automated decisions, in military targeting. But these are not new concerns. Igloo White was often misled by Vietnamese decoys. A state-of-the-art U.S. Aegis cruiser accidentally shot down an Iranian airliner in 1988. Intelligence mistakes led U.S. stealth bombers to accidentally strike the Chinese embassy in Belgrade, Serbia, in 1999.

Many Iraqi and Afghan civilians died due to analytical mistakes and cultural biases within the U.S. military. Most recently, evidence suggests that a Tomahawk cruise missile struck a girls school adjacent to an Iranian naval base, killing about 175 people, mostly students. This targeting could have resulted from a U.S. intelligence failure.

Automated Prediction Needs Human Judgment

The successes and failures of decision support systems in war are due more to organizational factors than technology. AI can help organizations improve their efficiency, but AI can also amplify organizational biases. While it may be tempting to blame Lavender for excessive civilian deaths in the Gaza Strip, lax Israeli rules of engagement likely matter more than automation bias.

As the name implies, decision support systems support human decision-making; AI does not replace people. Human personnel still play important roles in designing, managing, interpreting, validating, evaluating, repairing and protecting their systems and data flows. Commanders still command.

In economic terms, AI improves prediction, which means generating new data based on existing data. But prediction is only one part of decision-making. People ultimately make the judgments that matter about what to predict and how to use predictions. People have preferences, values and commitments regarding real-world outcomes, but AI systems intrinsically do not.

In my view, this means that increasing military use of AI is actually making humans more important in war, not less.

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

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AI is helping U.S. forces find and choose targets in Iran, like this airfield. U.S. Central Command via AP

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The high cost of renting and buying homes in U.S. cities is no secret. But this affordability problem isn’t limited to urban regions – it affects rural areas as well.

Rural areas, home to about 25% of Americans, benefit from federally supported rental housing programs – particularly a U.S. Department of Agriculture program to provide affordable homes for low-income residents.

The USDA’s Section 515 program is the primary way that the U.S. government finances affordable rental homes in rural communities. Since its inception in 1963, the program has supported the construction of over 533,000 apartments, townhouses and other small, multifamily rental homes.

The program offers below-market-rate loans to private and nonprofit developers who build and manage residential housing for low-income residents in small towns and rural counties. The terms of the deal between property owners and the government obliges these landlords to keep rents affordable for their occupants for decades, generally restricting rent to about 30% of tenants’ income.

Last New Loans Were in 2011

People who live in Section 515 housing typically pay around US$325 per month. That’s much less than rural market-rate rents, which typically run $800-$1,100 per month for modest homes.

Because the USDA stopped issuing new Section 515 loans in 2011, this arrangement is phasing out now as existing loans mature.

Loans for about 90% of all remaining Section 515 homes will mature by 2045, according to the Housing Assistance Council, a national nonprofit that supports affordable housing efforts throughout rural America. By 2050, the owners of nearly all properties currently in the program’s portfolio are projected to have paid off their mortgages.

And once most of the owners of these homes exit the Section 515 program, it will have been fully phased out.

An Often-Overlooked Housing Program

As a public policy professor who studies housing, I wanted to understand what happens when Section 515 loans mature. I also was interested in what determines whether properties remain affordable or leave the program after the loans are paid off.

To find out, I worked with three other housing policy researchers on a national study that was peer-reviewed and published in Housing Policy Debate in September 2025.

As of 2024, these loans were still supporting some 400,000 homes on almost 13,000 properties across 87% of all U.S. counties.

The roughly 750,000 Americans in those homes are among the nation’s poorest. The average household income of someone living in Section 515 housing in 2023 was just about $16,000 per year, which was only about one-fifth of the national median household income, which hovered around $76,600 during the same period in inflation-adjusted 2023 dollars.

In addition to having a very low income, more than 60% of the people enrolled in the program are over 62, have disabilities, or fall into both of those categories.

Market-Rate Options After Maturity

The vast majority of these affordable rental homes were built in the 1970s through the 1990s and financed with USDA loans that last between 30 and 50 years.

By 2050, there will be no Section 515 housing left.

The owners of these rental properties no longer have to keep rents affordable once they have paid off their loans. And their owners and tenants may also lose access to a USDA rental assistance program, which helps keep tenants’ housing costs low.

They can refinance the homes or sell the properties. They also can continue to charge affordable rents to occupants or convert those units to market rate. Because of this flexibility, a large share of rural affordable housing units could soon be converted to properties rented at market rates.

What the Data Shows So Far

For this study, our research team analyzed data from nearly 15,000 of the Section 515 properties throughout the country, which have been placed in service since 1963 – including many that are no longer providing rural affordable housing.

We found that the largest factors determining whether a building remains affordable after a Section 515 loan matures are who owns and manages that property. Buildings owned by for-profit companies are far more likely to leave the program than those that belong to nonprofit housing organizations.

Nonprofit-owned buildings, after accounting for building age and local market conditions, are 30% to 40% less likely to convert formerly Section 515 affordable housing into market-rate properties after the owners pay off their loans.

After analyzing this data, we also concluded that buildings run by small property management companies are more likely to leave the program than those managed by larger ones. Properties where the owner manages the homes are also more likely to exit.

Landlords owning more residential properties were also more likely to exit the program. This indicates that larger landlords may be able to afford the renovations and upgrades required to turn their buildings into market-rate housing once restrictions end.

Why Subsidies and Local Markets Matter

Having subsidies through other government programs can help keep affordable housing units from being converted to market-rate housing.

One-third of Section 515 properties also get support from other programs, including Section 8 vouchers and low-income housing tax credits. Those tax credits are another federal incentive that’s provided to developers who build and rehabilitate affordable rental housing while allowing lower rents for low-income tenants.

Those properties are more likely to remain affordable, even years after some of these tax incentives expire.

Local economic conditions can play a role too. In areas with high unemployment rates, large military populations and low housing inventory, properties are also more likely to exit the program.

That means the same rural counties experiencing economic or demographic pressures are often the most likely to have a decline in affordable housing units when owners pay off their Section 515 loans.

Steps That Can Be Taken

Congress and the USDA have taken some steps to slow the loss of affordable housing in rural areas.

For example, the USDA has funded preservation efforts such as the Multifamily Housing Preservation and Revitalization pilot program, which provides grants, loan restructuring and other financing tools to help repair aging Section 515 properties and extend their affordability.

These efforts have helped preserve some buildings and support ownership transfers from private sector landlords to nonprofit housing groups. But they spend only tens of millions of dollars per year and focus mainly on maintaining existing properties rather than building new housing.

Researchers estimate that about $5.6 billion in repairs would be needed to preserve the affordable housing currently tied to the Section 515 program.

Some lawmakers have proposed reforms aimed at doing more than chipping away at the loss of this kind of affordable housing. The bipartisan Rural Housing Service Reform Act, first introduced in 2023 and reintroduced in 2025, would modernize USDA rural housing programs and allow certain rental assistance contracts to continue after mortgages mature. As of early 2026, the bill remains under consideration.

Over the next two decades, most of these landlords will pay off their Section 515 loans. Unless the government reinvigorates the program or replaces it with something else, much of rural America’s affordable rental housing could gradually disappear as owners convert all Section 515 properties to market-rate housing.

Whether rural communities retain affordable housing will depend not only on what the federal government does, but also on the properties’ owners.

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

“The effects move slowly and appear in places people do not connect to energy,” said Tibor Besedes, professor in the School of Economics. “Oil and natural gas are part of the cost structure for an enormous range of goods.”

About 20% of global oil and liquefied natural gas flows through the waterway linking the Persian Gulf to world markets. When that flow is constrained, the impact ripples outward across industries most people never associate with an energy crisis.

“In complex supply chains, a disruption in one critical link, even if only briefly, can cascade through the system, well beyond the initial event,” says Pinar Keskinocak, chair and professor in the H. Milton Stewart School of Industrial and Systems Engineering. “As delays persist and compound, interconnected systems often take a long time to recover, rebalance, and return to normal.”

Price Pressures That Arrive Quietly

Early effects are already visible. 

Jet fuel availability is tightening, and diesel prices are rising across Asia. China has ordered refineries to stop exporting fuel, creating shortages that are increasing shipping costs for U.S. imports, from consumer electronics to pharmaceuticals.

The strait is also a key corridor for naphtha, a feedstock used to produce plastics, packaging, solvents, textiles, and pharmaceutical components. Roughly 85% of Middle Eastern polyethylene exports move through the strait. 

“Consumers won't see the effect of this quickly,” Besedes says, “but the longer the strait is closed, the higher the cost will be of all of these products naphtha is used for.”

Aluminum is equally exposed. 

“Smelters require sustained, low-cost energy,” said Chris Gaffney, a professor of the practice in the Stewart School. “The Middle East accounted for roughly 21% of U.S. unwrought aluminum imports in 2025. When energy prices spike or supply is constrained, capacity is reduced or shut down, and those decisions are difficult and slow to reverse.”

Fertilizer is one of the clearest examples of delayed inflation. Natural gas is essential for its production, and Persian Gulf states account for one-third of global urea exports and half of global sulfur exports. Urea prices at the New Orleans import hub have already climbed sharply.

“We won't see the effects quickly, but rather in six to 12 months, depending on the crop and its cycle,” Besedes says. “Without or with less fertilizer, crop yields will decrease, resulting in higher prices.”

Why Hormuz Is Different From Other Chokepoints

On top of all those factors, the strait closure presents a uniquely dangerous vulnerability. 

“Unlike a port strike or canal blockage, there is no meaningful way to reroute volume,” says Gaffney. “If it is disrupted, flow is constrained rather than redirected.” Pipeline alternatives replace only a fraction of the 20 million barrels per day that normally transit the strait.

“Choke point vulnerability arises when a large portion of flow depends on a route that is hard to substitute,” said Mathieu Dahan, associate professor in the Stewart School. “Hormuz has no scalable alternatives with sufficient capacity.” 

Alan Erera, senior associate chair in the Stewart School expanded on Dahan’s point, noting that strait disruptions raise costs across manufacturing and distribution.

“Ships are rerouted onto longer paths, which drives up fuel and labor costs, ties up vessels and containers for longer periods, and ultimately raises inventory costs for shippers because capital is locked up while goods are still in transit,” Erera said.

When Geopolitics Meets Global Supply Chains

Additionally, the strait closure raises the risk of wartime miscalculation. 

“We haven’t seen a disruption on this scale since the tanker wars of the late 1980s,” said Larry Rubin, associate professor in the Sam Nunn School of International Affairs. Gulf states' dependence on the strait constrains both regional actors and U.S. strategy, raising risks around crisis decision-making.

Rubin also points to a dimension most coverage has missed entirely. “One thing that has been overlooked by many commentators is the fact that the Iranian people have probably been hit the hardest economically,” he says. “They were already in a challenging situation. The Iranian economy won't recover quickly after the war.”

Resilience Has a Short Memory

Meanwhile, for the United States, “The Strategic Petroleum Reserve provides a buffer, and domestic energy production has improved resilience,” says Gaffney. “But the gap remains between enabling capacity and sustaining resilience. Policy can support infrastructure, but it cannot ensure private sector participants invest in resilience when cost pressures rise.”

For policymakers and industry leaders, the disruption reinforces a familiar pattern. "The supply chain remains optimized for efficiency rather than resilience, in part due to the high investment costs required to build flexibility," says Dahan. 

Gaffney added that resilience does improve after disruption, but that “it erodes over time if not actively maintained.”

Even if the strait reopens, higher costs and slow restart timelines mean the system will not snap back. Experts suggest that when headlines have moved on from this disruption, it will still be shaping prices across the economy. 

With imitation learning, humans demonstrate a task and robots learn to copy what they see through cameras and sensors. While at the leading edge of robotics research, this approach is limited by a major constraint: Robots can only work as fast as the people who taught them. 

Now, Georgia Tech researchers have created a tool that smashes that speed barrier. The system allows robots to execute complex tasks significantly faster than human demonstrations while maintaining precision, control, and safety.

The team addresses a central challenge in modern robotics: how to combine the flexibility of learning from humans with the speed and reliability required for real-world deployment. The technology could lead to wider adoption of imitation learning in industrial and household applications and even enable robots to execute humanlike tasks better than ever before. 

“The thing we’re trying to create — and I would argue industry is also trying to create — is a general-purpose robot that can do any task that human hands can do,” said Shreyas Kousik, assistant professor in the George W. Woodruff School of Mechanical Engineering and a co-lead author on the study. “To make that work outside the lab, speed really matters.”

The new tool, SAIL (Speed Adaptation for Imitation Learning), was born out of a cross-campus, interdisciplinary collaboration that brought together expertise in mechanical engineering, robotics systems, and machine learning. The research team includes Kousik; Benjamin Joffe, senior research scientist at the Georgia Tech Research Institute; and Danfei Xu, assistant professor in the School of Interactive Computing, along with graduate students and researchers from multiple labs.

Speed Without Sacrifice

Teaching robots to work faster than the speed of human demonstrations is challenging. Robots can behave differently at higher speeds, and small changes in the environment can cause errors. 

“The challenge is that a robot is limited to the data it was trained on, and any changes in the environment can cause it to fail,” Kousik said.

SAIL addresses this challenge through a modular approach, with separate components working together to accelerate beyond the training data. The system keeps motions smooth at high speed, tracks movements accurately, adjusts speed dynamically based on task complexity, and schedules actions to account for hardware delays. This combination allows robots to move quickly while staying stable, coordinated, and precise.

“One of the gaps we saw was that our academic robotics systems could do impressive things, but they weren’t fast or robust enough for practical use,” Joffe said. “We wanted to study that gap carefully and design a system that addressed it end to end.”

He added, “The goal is not just to make robots faster, but to make them smart enough to know when speed helps and when it could cause mistakes.” 

The team evaluated SAIL’s performance across 12 tasks, both in simulation and on two physical robot platforms. Tasks included stacking cups, folding cloth, plating fruit, packing food items, and wiping a whiteboard. In most cases, SAIL-enabled robots completed tasks three to four times faster than standard imitation-learning systems without losing accuracy.

One exception was the whiteboard-wiping task, where maintaining contact made high-speed execution difficult.

 “Understanding where speed helps and where it hurts is critical,” Kousik said. “Sometimes slowing down is the right decision.”

While SAIL does not make robots universally adaptable on its own, it represents an important step toward robotic systems that can learn from humans without being constrained by human pace.

By showing how learned robotic behaviors can be accelerated safely and systematically, SAIL brings imitation learning closer to real-world use — where speed, precision, and reliability all matter.

Citation: Ranawaka Arachchige, et. al. “SAIL: Faster-than-Demonstration Execution of Imitation Learning Policies,” Conference on Robot Learning (CoRL), 2025. 

DOI: https://doi.org/10.48550/arXiv.2506.11948

Funding: The authors would like to acknowledge the State of Georgia and the Agricultural Technology Research Program at Georgia Tech for supporting the work described in this paper. 

That support, however, begins to disappear in these restrictive cultures once women reach menopause, according to new research from Georgia Tech

Naveena Karusala, an assistant professor in Georgia Tech’s School of Interactive Computing, and master’s student Umme Ammara are working toward improving existing technologies and designing new ones for a demographic they believe has been neglected.

Karusala and Ammara co-authored a paper based on a study they conducted with women in urban Pakistan experiencing menopause.

“Women’s health is understudied in general, but menopause is more neglected than other women’s health issues,” Karusala said. “Our choice to focus on menopause is motivated by expanding how we holistically think about women’s well-being across their lifespan.”

Karusala and Ammara will present their paper in April at the 2026 ACM Conference on Human Factors in Computing Systems (CHI) in Barcelona.

Masking Symptoms

Menopause is diagnosed after 12 consecutive months without a period, vaginal bleeding, or spotting. The transition to menopause, called perimenopause, usually happens over two to eight years.

Hormone changes may cause symptoms such as irregular periods, vaginal dryness, hot flashes, night sweats, trouble sleeping, mood swings, and brain fog.

These symptoms can be debilitating in some cases and affect daily life. However, Ammara said women are pressured to remain silent, maintain appearances, and regulate their emotions to meet social expectations.

“Understanding menopause is important because a woman would be experiencing all these symptoms, and people will not understand those as actual symptoms,” Ammara said. “There’s been resistance to the idea of the medicalization of menopause. People don’t view it as an illness, but as a life transition and something that happens naturally.”

Feeling Isolated

The women interviewed by Karusala and Ammara either stayed at home full-time or were part of the workforce.

The researchers discovered that trusted family members might be the only sources women who stay at home and do not work turn to for disclosure. 

“Women at home have the flexibility to take breaks or work at their own pace, so a lot of their experience is shaped by the emotional barriers they face,” Ammara said. 

“That could come from their husbands and family members. Some are supportive and some are not. They might weaponize it and use that term against them, or they might dismiss what they’re going through.”

Ammara said it might be easier for women in the workforce to confide in their coworkers, but explaining to an employer that they need sick leave for menopause symptoms can be intimidating.

Even in online communities that have enabled women to anonymously share their health experiences, menopause is seldom discussed.

Raising Awareness

Karusala and Ammara argue in their paper that a public health approach could be the most effective way to spark conversation about menopause in a patriarchal culture in which technology use varies.

They said the challenge in implementing technologies geared toward menopause support is that the condition isn’t well understood in public. Improving maternal health, for example, is easier to promote within these societies because of the general understanding that motherhood is important.

“There must be an existing infrastructure to build on,” Karusala said. “For example, menstrual and maternal health are taught in schools and regularly discussed in primary care. Cultural and social meaning and importance are placed on motherhood.

“A lot of that doesn’t exist for menopause. Primary care doctors are unprepared to talk about menopause compared to other health issues.”

Design Solutions

Ammara said that the most effective way for technologies to make an impact on women going through menopause is to directly address systemic power structures around women’s health within Pakistani culture.

It can start with the husbands. 

“Framing the issue for husbands to understand menopause should be at the forefront of designing technology solutions,” she said. 

“In Islamic contexts, we suggest using faith-based framings. This has been proposed for maternal health in prior works that draw on Islamic principles to engage expectant fathers in providing care and support. Framing it around religious responsibility to involve men in the journey can also be done for menopause.”

Drawing from the Institute’s racing roots and affinity for classic cars, the Georgia Tech Auto Show has become a spring staple on campus since its inception in 2003. Its evolution continues this year with the addition of the Mobility Seminar on Friday, April 3, and a special presentation from Hyundai on Saturday, April 4.  

As vice provost for Enrollment Management, Rick Clark develops strategies to expand access to Georgia Tech and help students find their path here. As an ultra trail runner, Clark understands that, while there may be twists and turns along the way, perseverance and a steady approach are vital when the path ahead seems daunting. 

Tens of millions of brackets have been filled out ahead of the NCAA men’s and women’s basketball tournaments. Some fans will choose winners based on the higher seed, others will try to predict shocking upsets, and some may choose who advances based on which mascot would win a fight, but a Georgia Tech professor has his bracket down to a (data) science.   

Amino acids also play a critical role commercially where they are manufactured and added to pharmaceuticals, dietary supplements, cosmetics, animal feeds, and industrial chemicals — an energy-intensive process leading to greenhouse gas emissions, resource consumption, and pollution.

A landmark new system developed at Georgia Tech could lead to an alternative: a commercially scalable, environmentally sustainable method for amino acid production that is carbon negative, using more carbon than it emits.

The breakthrough builds on a method that the team pioneered in 2024 and solves a key issue – increasing efficiency to an unprecedented 97% and reducing the bioprocess cost by over 40%. It’s the highest reported conversion of CO2 equivalents into amino acids using any synthetic biology system to date.

Published in the journal ACS Synthetic Biology, the study, “Cell-Free-Based Thermophilic Biocatalyst for the Synthesis of Amino Acids From One-Carbon Feedstocks,” was led by Bioengineering Ph.D. student Ray Westenberg and Professor Pamela Peralta-Yahya, who holds joint appointments in the School of Chemistry and Biochemistry and School of Chemical and Biomolecular Engineering. The team also included Shaafique Chowdhury (Ph.D. ChBE 25) and Kimberly Wennerholm (ChBE 23); alongside University of Washington collaborators Ryan Cardiff, then a Ph.D. student and now a Chain Reaction Innovations Fellow at Argonne National Laboratory, and Charles W. H. Matthaei Endowed Professor in Chemical Engineering James M. Carothers; in addition to Pacific Northwest National Laboratory Synthetic Biology Team Leader Alexander S. Beliaev.

"This work shifts the narrative from simply reducing carbon emissions to actually consuming them to create value,” says Peralta-Yahya. “We are taking low-cost carbon sources and building essential ingredients in a truly carbon-negative process that is efficient, effective, and scalable.”

Heat-Loving Organisms

The work builds on the cell-free technology the team used in their earlier study. “Previously, we discovered that a system that uses the machinery of cells, without using actual living cells, could be used to create amino acids from carbon dioxide,” Peralta-Yahya explains. “But to create a commercially viable system, we needed to increase the system’s efficiency and reduce the cost.”

The team discovered that bits of leftover cells were consuming starting materials, and — like a machine with unnecessary gears or parts — this limited the system’s efficiency. To optimize their “machine,” the team would need to remove the extra background machinery.

"Leftover cell parts were using key resources without helping produce the amino acids we were looking for,” says Peralta-Yahya. “We knew that heating the system could be one way to purify it because heat can denature these components.”

The challenge was in how to protect the essential system components from the high temperatures, she adds. “We wondered if introducing enzymes produced by a heat-loving bacterium, Moorella thermoacetica, might protect our system, while still allowing us to denature and remove that inefficient background machinery.”

The results were astounding: after introducing the enzymes, heating and “cleaning” the system, and letting it cool to room temperature, synthesis of the amino acids serine and glycine leaped to 97% yield — nearly three times that of the team’s previous system.

Scaling for Sustainability

To make the system viable for large-scale use, the team also needed to reduce costs. “One of the most costly components in this system is the cofactor tetrahydrofolate (THF),” Peralta-Yahya shares. “Reducing the amount of THF needed to start the process was one way to make the system more inexpensive and ultimately more commercially viable.”

By linking reaction steps so waste from one step fueled the next, the team devised a method to recycle THF within the system that reduces the amount of THF needed by five-fold — lowering bioprocessing costs by 42%.

“This decrease in cost and increase in yield is a critical step forward in creating a method with real potential for use in industry and manufacturing,” Peralta-Yahya says. “This system could pave the way for moving this carbon-negative technology out of the lab and onto the continuous, industrial scale."

Funding: The Advanced Research Project Agency-Energy (ARPA-E); U.S. Department of Energy; and the U.S. Department of Energy, Office of Science, Biological and Environmental Research Program.

DOI: https://doi.org/10.1021/acssynbio.5c00352

The Advanced Technology Development Center (ATDC) in Georgia Tech’s Office of Commercialization announced two of its health technology (HealthTech) portfolio companies, Nephrodite and OrthoPreserve, earned the designation. 

Achieving this rare milestone underscores the caliber of founders, science, and support in ATDC’s 30-company HealthTech portfolio, the incubator’s largest focus area. It’s also a win for Georgia because it reflects the strength of the state’s health innovation ecosystem. 

“This designation is one of the strongest signals the FDA gives that a technology could change the standard of care,” said Greg Jungles, HealthTech catalyst at ATDC. “For ATDC to have two in the same year is remarkable.” 

The Breakthrough Device Program doesn’t waive evidence requirements, but it accelerates learning with the FDA, ATDC’s Jungles said. “That means shorter response times, more frequent meetings, and prioritized review. Teams avoid dead ends and align earlier on study designs and endpoints.” 

For the founders of both startups, their technologies come one step closer to moving their innovations to market. Nephrodite’s technology improves the lives of dialysis patients. OrthoPreserve’s device addresses challenges faced by those who suffer from chronic knee pain. 

Nephrodite: Advancing Continuous Artificial Kidney Technology 

Dr. Nikhil Shah and Dr. Hiep Nguyen, cofounders of Nephrodite, aim to improve care for dialysis patients with end-stage kidney disease who need transplants. These patients often spend three to four hours in a dialysis clinic up to three times a week. Being tethered to stationary machines with needles drawing blood via arm grafts complicates everyday activities — from work tasks to the ability to travel. 

Dialysis addresses chronic kidney disease, which means kidneys no longer work properly. The treatments filter out toxins, waste, and other fluids in the blood. Kidney disease costs Medicare $124.5 billion every year, according to the Centers for Disease Control and Prevention. And those costs are expected to rise because of increasing rates of kidney failure and chronic kidney disease. 

“Dialysis, while lifesaving when it was pioneered in 1952, is incredibly burdensome,” Shah said. Besides being a long process that keeps the patient in a fixed location, it’s physically tiring. “Taking out your blood continually many, many times over, and over the course of four hours is the equivalent of running the Boston Marathon, hitting the finish line, and then someone saying, ‘You're not done; go do it again,’ ” he said.