Three AICIP PhDs completed in 2026
Konstantinos Georgiou, Maofeng Tang, and Fanqi Wang all defended and deposited their dissertations this year — spanning masked representation learning and the dynamics of neural training.
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Publications, awards, fieldwork, and milestones — posted as they happen.
Konstantinos Georgiou, Maofeng Tang, and Fanqi Wang all defended and deposited their dissertations this year — spanning masked representation learning and the dynamics of neural training.
The NSF selected UT as one of twenty national hubs in its Programmable Cloud Laboratories network. ATHENA will apply AI to automated materials discovery, with AICIP providing the machine learning core.
The lab's latest self-supervised learning work routes per-patch training signal through Soft-MoE dispatch weights — closing out a three-paper arc from Cross-Scale MAE through MEDiC.
UT is one of twenty North American universities chosen for the DOE's next advanced-vehicle competition. Dr. Qi is one of three faculty advisors, continuing the lab's decade of vehicle-autonomy research.
Bryce Bible presented the lab's multimodal scenic-visibility forecasting system at WACV in Tucson — predicting whether Mount Fuji will be visible with ~89% same-day accuracy.
Andrei Cozma and Landon Harris's Koopman-inspired take on proximal policy optimization brings dynamical-systems structure to reinforcement learning.