Wei Xie

Wei Xie is a Professor of Physics and Astronomy at Purdue University, affiliated with the Department of Physics and Astronomy within the College of Science. His research focuses on studying the Quark-Gluon Plasma (QGP) created in high-energy heavy-ion collisions at RHIC and LHC, and developing spiking neural networks for pattern recognition. He has been actively involved in the STAR, CMS, and sPHENIX collaborations. Xie holds a Ph.D. in High Energy Physics from the Institute of High Energy Physics, Academia Sinica (1997), with prior academic positions including RIKEN-BNL Fellowship and postdoctoral roles at UC Riverside and Weizmann Institute.

His awards include the RIKEN/BNL Research Center Fellowship (2004-2007) and Feinberg Fellowship (1997-2000). Xie has advised multiple graduate students who now work in academia and industry. His teaching includes advanced physics courses such as PHYS 521 and undergraduate courses like PHYS 241.

Research interests span heavy flavor physics, jet quenching, and neuromorphic computing applications in particle physics. Current projects include sPHENIX detector development and exploring STDP-based supervised learning for image recognition.