Dr. Qiang Le

Associate Professor in the Electrical and Computer Engineering

Location: Olin 118

Phone: (757) 727 – 5557

Email: qiang.le@hamptonu.edu

Expertise: Signal processing, sensor fusion, and data analysis

Education: Ph.D. Electrical and Computer Engineering Georgia Institute of Technology, 2006

Dr. Le


Dr. Qiang Le is an associate professor in the Electrical and Computer Engineering Department at Hampton University. She received a Ph. D. degree in Electrical Engineering from Georgia Institute of Technology (’06) , M.S. in Computer Information Science from Clark Atlanta University (’02), and Bachelor of Science in Electrical Engineering from Beijing University of Aero. and Astro. (’95).  She served as PI in a NSF engineering education grant and PI in ARL grant for the multi-modal sensor fusion and multiple target tracking project in the proximity sensor network. Currently, she is the co-investigator for the NASA ULI project “Emission & Absorption Spectroscopy Sensors for Hypersonic Flight Control”. Her research interests include Multi-modal sensor fusion for object localization; Multiple target tracking, Signal detection and estimation theory; Image Signal Processing and Machine learning; Geospatial statistical data analysis for health disparity and Engineering education research.

Selected Publications:  

  • Hunt, D., Walters-Williams, J., and Le, Q. “Detecting Transitions States in an Optical Emission Spectrum using Machine Learning”. Proceeding in Association of Computer Science Departments at Minority Institutions (ADMI 2023) Symposium, VA
  • Elkowitz, L., Wanchek, A., Goyne, C., Dedic, C., Le, Q., Walters-Williams, J., Hunt, D. (2023). “Dual-mode Scramjet Control using Optical Emission Sensors.” 2023 American Institute of Aeronautics and Astronautics (AIAA) SciTech Forum & Exposition, National Harbor, MD.
  • Le; SZ.Qian, “Segmentation and tracking of electrokinetic particles in microscopic video,” proceedings of SPIE Defense, Security, and Sensing, April 2015, Baltimore, ML
  • Le and L.M. Kaplan. “Probability hypothesis density-based multitarget tracking for proximity sensor networks.” IEEE Transactions on Aerospace and Electronic Systems, 49.3 (2013): 1476-1496.
  • Le, and L.M. Kaplan. “Sensor selection for target localization in a network of proximity sensors and bearing sensors.”Proceedings of SPIE Defense, Security, and Sensing, April,2013, Orlando, FL
  • M.Kaplan, and Q. Le. “On exploiting propagation delays for passive target localization using bearings-only measurements.”Journal of the Franklin Institute 342.2 (2005): 193-211.