Walter Scott, Jr. College of Engineering

Contact

Office: B116 Engineering Building
Phone: 970-491-4632
Email: haonan.chen@colostate.edu
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Dr. Haonan Chen

Assistant Professor of Electrical and Computer Engineering

Bio

Haonan Chen has been an Assistant Professor in the Department of Electrical and Computer Engineering at Colorado State University (CSU) since August 2020. Before joining the CSU faculty, he worked at the NOAA Physical Sciences Laboratory, first as a National Research Council Research Associate, and then a Radar, Satellite, and Precipitation Research Scientist. His research interests span a broad range of remote sensing and multidisciplinary data science, including radar and satellite observations of natural disasters, polarimetric radar systems and networking, big data analytics, multiscale hydrometeorological data fusion in smart city applications, and precipitation classification, estimation, and prediction using deep learning techniques.Dr. Chen received the bachelor’s degree in Communication Engineering from Chongqing University of Posts and Telecommunications, Chongqing, China, in 2010, and the M.S. and Ph.D. degrees in Electrical Engineering from CSU in 2013 and 2017, respectively. He is a member of URSI Commissions F, the American Meteorological Society, the American Geophysical Union, and the IEEE. He has been the first author or co-author on 50 peer-reviewed journal articles, served as an Associate Editor for the Journal of Atmospheric and Oceanic Technology, an Associate Editor for URSI Radio Science Bulletin, and a Guest Editor for Remote Sensing and IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Education

  • B.S. 2010 Chongqing University of Posts and Telecommunications in Electrical Engineering
  • M.S. 2013 Colorado State University in Electrical Engineering
  • Ph.D. 2017 Colorado State University in Electrical Engineering

Research Interests

  • Big Data and Machine Learning
  • Radar and Satellite Hydrometeorology
  • Remote Sensing of Natural Disasters
  • Cloud/Precipitation Observations and Processes