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ALT Georgia Tech CSE Ph.D. graduate Chengrui Li (right) takes a picture with his advisor, School of CSE Assistant Professor Anqi Wu (left)
ALT (A) Cross section of the brain of a squirrel monkey (S. sciureus) and a nine-banded armadillo (D. novemcinctus) showing the relatively enlarged neocortex in the monkey (blue) and the relatively enlarged olfactory cortex (dark purple) in the armadillo. (B) Volume of the olfactory system and hippocampus plotted against the volume of brain core. (C) Residuals of the two structures around their corresponding regression lines, showing positive covariation of their volumes (r = 0.46, P < 0.001). (D) The volumes of all limbic system components positively covary with the volume of the olfactory system.
ALT Portrait of Regents' Professor Srinivas Aluru, a faculty member of Georgia Tech's School of Computational Science and Engineering and senior associate dean of the College of Computing
ALT Georgia Tech CSE Ph.D. graduate Chengrui Li (right) takes a picture with his advisor, School of CSE Assistant Professor Anqi Wu (left)
ALT Collage of photos of Georgia Tech CSE Ph.D. graduate Chengrui Li graduating from Georgia Tech, playing the violin, showcasing yo-yo tricks, and performing a magic trick.
ALT Photo of Sri Ranganathan Palaniappan and Grace Kim, recipients of the Donald V. Jackson Fellowship, at the 35th Annual College of Computing Awards Celebration on April 20, 2026
ALT Chengrui Li with family at spring commencement 2026.
ALT Photo illustration of Agam Shah, who graduates from Georgia Tech with a Ph.D. in machine learning on May 7, 2026
ALT School of CSE Ph.D. student Zihao Zhao presents a poster on Diffusion-DFL on March 12, 2026. Diffusion-DFL makes more accurate decisions than current approaches. Along with optimizing industrial output, Diffusion-DFL lowers costs and reduces risk. Experiments also showed it performs across different fields. Diffusion-DFL doesn’t just surpass current methods; it also predicts more accurately as problem sizes grow. The model requires less computing power despite these high-performance marks, making it more accessible to smaller enterprises. Diffusion-DFL runs on diffusion models, the same technology that powers DALL-E and other AI image generators. It is the first DFL framework based on diffusion models.
ALT Graphic awarding the Georgia Tech M.S. Analytics program for receiving the 2026 UPS George D. Smith Prize, presented by the Institute for Operations Research and the Management Sciences (INFORMS)
ALT Photo of Grace Kim accepting the Donald V. Jackson Fellowship at the 35th Annual College of Computing Awards Celebration on April 20, 2026
ALT Photo of Sri Ranganathan Palaniappan accepting the Donald V. Jackson Fellowship at the 35th Annual College of Computing Awards Celebration on April 20.
ALT Photo of Ethan Yang accepting the Marshall D. Williamson Fellowship at the 35th Annual College of Computing Awards Celebration on April 20.
ALT rainbow advection swirl with text overlay (save the dates, MFEM community workshop, September 22-25, Georgia Tech & Zoom); logos for MFEM, LLNL, and GT; and the workshop URL
ALT Photo of School of CSE Ph.D. student Phillip Si (left) and Assistant Professor Peng Chen (right). The pair developed LD-EnSF, an AI framework that turns massive, slow computational problems into much faster solutions, making advanced science more efficient and potentially more useful during time-critical events.
ALT Georgia Tech's Grace Kim, Alec Helbling, Aeree Cho, Seongmin Lee, and Polo Chau demonstrate their Transformer Explainer tool. Transformer Explainer authors not photographed include Alex Karpekov, Ben Hoover, Zijie (Jay) Wang, and Minsuk Kahng. (Photo by Terence Rushin/College of Computing)
ALT School of CSE Ph.D. student Zihao Zhao presents a poster on Diffusion-DFL on March 12, 2026. Diffusion-DFL makes more accurate decisions than current approaches. Along with optimizing industrial output, Diffusion-DFL lowers costs and reduces risk. Experiments also showed it performs across different fields. Diffusion-DFL doesn’t just surpass current methods; it also predicts more accurately as problem sizes grow. The model requires less computing power despite these high-performance marks, making it more accessible to smaller enterprises. Diffusion-DFL runs on diffusion models, the same technology that powers DALL-E and other AI image generators. It is the first DFL framework based on diffusion models.
ALT Georgia Tech School of CSE Ph.D. student Yule Wang takes a picture with his group's poster on MIS-Vis, an AI tool that helps decode how the brain processes what is seen through the visual cortex. The group will present MIS-Vis at the International Conference on Learning Representations (ICLR 2026), occurring April 23-27 in Rio de Janeiro.