Tianyu Bell Pan (潘天钰)
I am a Ph.D. candidate in the Department of Electrical and Computer Engineering (ECE) (Advisor: Dr. Damon Woodard) at the University of Florida, affiliated with Florida Institute for National Security (FINS) and Applied Artificial Intelligence Group (AAIG). I hold an MS degree in ECE and MA degree in Economics (IO) from University of Florida.
My research focuses on multimodal learning, particularly in computer vision. This includes areas such as training (primarily pre-training and structured representation learning), information retrieval, optimization, and reinforcement learning. The tools I utilize are mainly from information theory, control theory, and geometric measure theory.

Office: 206 D1, Materials Engineering Building (UF FINS), Herbert Wertheim College of Engineering, University of Florida, Gainesville, FL, 32611
Email: tpan1@ufl.edu
News
03/2026: Psychology of Phishing Emails: Quantifying Persuasion Principles and Simulating Detection with Large Language Models is published in Expert Systems with Applications.
01/2026: Multimodal Co-Training with Subtractive Unlabeled-Benefit Bounds is accepted by IEEE ICASSP 2026.
12/2025: From Kakeya to Kernels: A Multi-Scale Geometric Framework for Robust Representation Learning is available online.
09/2025: Lyapunov-Stable Adaptive Control for Multimodal Concept Drift is accepted by the 39th Conference on Neural Information Processing Systems (NeurIPS 2025).