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A recently awarded $20 million NSF Nexus Supercomputer grant to Georgia Tech and partner institutes promises to bring incredible computing power to the CODA building. But what makes this supercomputer different and how will it impact research in labs on campus, across disciplinary units, and across institutions? 

Georgia Tech researchers test their prototype of a robotic guide dog. Photo by Terence Rushin/College of Computing.

Georgia Tech researchers from the School of Interactive Computing are using survey information from individuals who are blind or visually impaired (BVI) to develop a robotic service dog.

Postdoc Spotlight: Katie Kuo

Katie Kuo is using her expertise in chemistry and computational biophysics to transform the future of drug discovery and therapeutic development.

 Ruth Kanfer, Professor of Psychology at Georgia Tech

A remarkable professor in Industrial-Organizational Psychology, Kanfer made lasting contributions to the field through her research, teaching, and mentorship. She was deeply dedicated to supporting the personal and professional development of her students.

J. Cole Faggert, Ph.D. student in the School of Physics

J. Cole Faggert, a Ph.D. student in the School of Physics, will use multi-wavelength imaging to study supermassive black holes and the physics of their plasma flows.

Georgia Tech's ALCSI has grown to over 40 members in just three years.

Georgia Tech students are teaming up with major organizations to raise awareness and expand access to lung cancer screening through education, advocacy, and community outreach.

Experts In The News

In an article published by The Conversation, Professor Joseph Montoya, Postdoctoral Fellow Xing Zhou, and their collaborator discuss sargassum blooms and their impact on the Caribbean and Gulf coasts and the coasts of the tropical Atlantic. According to their research, the vast mats of smelly, brown seaweed affecting these areas may have entered a "self-sustaining cycle, effectively feeding their own expansion."

The Conversation July 28, 2026

Researchers in the School of Physics, working with King Fahd University of Petroleum and Minerals, have found that standard methods for identifying chirality in topological phases fail when applied to mixed quantum states. The study reveals that established diagnostics, including bulk-boundary correspondence and the modular commutator, are unreliable in these complex systems. Consequently, the research presents two new measures, based on relative entropy, to accurately diagnose chirality and determine the chiral central charge in decohered topological phases, indicating a need for a new set of tools when investigating mixed-state topology.

Quantum Zeitgeist July 16, 2026