معرفی
Tae Min Hong is an Associate Professor of Physics and Astronomy at the University of Pittsburgh, affiliated with the Dietrich School of Arts and Sciences. His research focuses on experimental particle physics, particularly using the Large Hadron Collider (LHC) at CERN. He is a key member of the ATLAS Collaboration, contributing to Higgs boson studies and searches for new physics such as dark matter and supersymmetric particles. His work includes developing machine learning techniques for real-time data processing on FPGAs and advancing trigger systems for high-energy physics experiments.
Education: AB in Physics and Mathematics from Harvard University, MA and PhD in Physics from UC Santa Barbara. Postdoctoral research at the University of Pennsylvania before joining Pitt in 2015. Collaborates with faculty on the ATLAS experiment's Tier-3 computing center in Allen Hall.
Research interests include Higgs boson decay mechanisms (e.g., H→WW), vector boson fusion processes, and leveraging machine learning for particle detection. His lab employs undergraduates in projects like firmware engineering, trigger rate monitoring, and machine learning R&D. Students have won awards such as NASA Space Grant and Chancellor's Fellowship.
Publications span over 800 refereed articles, with recent work on Higgs CP properties, invisible decays, and FPGA-based decision trees. He teaches courses like Undergraduate Particle Physics and Honors E&M, emphasizing hands-on learning and feedback.
