Ming Zhu

Ming Zhu is an Assistant Professor in Residence in the Department of Electrical and Computer Engineering at the University of Nevada, Las Vegas (UNLV). His work bridges electrical engineering and computer science to solve real-world problems in transportation, industrial systems, and healthcare.

His research interests include Signal Processing, Machine Learning, Unmanned Aerial Vehicles (UAVs), and Edge Computing. He applies these to Rail Infrastructure Monitoring, Industrial Fault Detection, and Health Monitoring Systems, using technologies like LiDAR, acoustic sensors, and generative models.

Analysis of recent publications reveals a focus on non-invasive rail track measurement (using UAVs and LiDAR), sound-based malfunction detection in machinery, and efficient edge computing for video streaming and healthcare applications. His work demonstrates a strong trend towards practical, real-time systems for critical infrastructure.