Weidong Xiang

Weidong Xiang is a Professor in the Department of Electrical and Computer Engineering at the University of Michigan-Dearborn's College of Engineering and Computer Science. His research focuses on wireless communication systems, vehicular networks, and cybersecurity innovations for automotive applications.

• Education: Ph.D. and M.S. in Electrical Engineering from Tsinghua University

Research interests span vehicular communication protocols, MIMO/beamforming architectures, RFID security, and ultra-wideband (UWB) systems. He has pioneered work on nonlinear companding, depth-first ML decoding algorithms, and energy-harvesting wireless systems.

Recent publications highlight trends in deep learning for wireless sensing, GPS error prediction using LSTMs, and DSRC channel modeling. His work integrates AI and cybersecurity into automotive communication infrastructures.

Grant history includes projects funded by:

• NSA/DoD for cybersecurity-AI integration (2024-2027)
• Ford Motor Company for MIMO/DSRC systems (2019-2022)
• NSF grants for vehicular sensing (2015-2016, 2013-2014)
• DoE funding for smart grid SDR prototypes (2010-2011)

He holds a patent for an Enhanced Carrier Frequency Estimator applicable in WiFi, WiMax, and WAVE systems.