Yi Wang

Assistant Professor

Electrical & Computer Engineering

Dr. Wang joined the Department of Electrical and Computer Engineering at Manhattan College in 2015 as an assistant professor after receiving his doctorate in Computer Engineering from the University of the Alabama in Huntsville. His main research interests include machine learning, image processing and cyber security.

Education

  • Ph.D. Computer Engineering, University of Alabama in Huntsville
  • M.S.  Computer Science, Wuhan University of Science and Technology
  • B.S.  Information Management and Info. Sys., Wuhan Univ. of Science and Technology

Courses Taught

  • EECE 461/ECEG761: Network Security Systems
  • EECE 458/ECEG758: Cybersecurity Systems
  • EECE 411/410: Capstone Design 
  • EECE 232: Computer System, Organization & Design
  • EECE 229: Introduction to Digital Systems
  • EECE 201: Fundamentals of Electrical System Analysis
  • ENGS 116: Introduction to Engineering Computation
  • Research

    Machine Learning, Image Processing, Cyber Security

  • Publications and Scholarly Activities
    Recent Publications
     
    • Y. Wang, J.Fu, R. Adhami, H.Dinh, “A Novel Learning-based Switching Median Filter for Suppression of Impulse Noise in Highly Corrupted Color Images”, The Imaging Science Journal, vol. 64, issue 1, 2016, pp.15-25.
    • Y. Wang, R. Adhami, J. Fu, H. Al-Ghaib, “A Novel Supervised Learning Algorithm for Salt-and-Pepper Noise Reduction”, Int. Journal of Machine Learning and Cybernetics, vol. 6, no. 4, 2015, pp. 687-697.
    • Y. Wang, W. D. Pan, J. Fu, “Analysis of The Margin Setting Algorithm as A Margin-based Spherical Classification Method”, in Proc. of 2015 IEEE Southeast Conference, Fort Lauderdale, Florida, April 2015.  
    • H. Sheng, W. D. Pan, Y. Wang, “A Novel Method for Lossless Compression of Arbitrarily Shaped Regions of Interest in Hyperspectral Imagery”, in Proc. of 2015 IEEE Southeast Conference, Fort Lauderdale, Florida, April 2015.
  • Honors, Awards, and Grants
    • Manhattan College Summer Grant 2017
    • Best paper award, 2017 IEEE Ubiquitous Computing, Electronics and Mobile Communication Conference, New York City, NY
    • Best paper award, 2015 International Conference on Digital Image Processing, Los Angeles, CA