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

BIO

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.