Yi Wang

Associate Professor, Electrical & Computer Engineering

Yi Wang is an Associate Professor in the Department of Electrical and Computer Engineering at Manhattan College, New York. He received his Ph.D. in Computer Engineering from the University of Alabama in Huntsville in 2015. His main research interests span machine learning, image processing, and cybersecurity. He is a senior member of IEEE.

Education

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

Courses Taught


  • EECE 458/ECEG758: Cybersecurity Systems
  • EECE 461/ECEG761: Network Security Systems
  • ECEG 763 Data Structures and Computer Algorithms
  • EECE 476: Object-Oriented Programming and Data Structures 
  • EECE 410: Capstone Design I
  • EECE 411: Capstone Design II
  • 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 Peer-Reviewed Journals:
    • Nicolas, K., Wang, Y., Giakos, G. C., Wei, B., and Shen, H. (2021). Blockchain System Defensive Overview for Double-Spend and Selfish Mining Attacks: A Systematic Approach. IEEE Access, IEEE, 9, 3838-3857. 
    • Igwe, O. M., Wang, Y., Giakos G. C., Fu, J. (2020). Human Activity Recognition in Smart Environments Employing Margin Setting Algorithm, Journal of Ambient Intelligence and Humanized Computing, Springer, DOI: 10.1007/s12652-020-02229-y
    • Wang, Y., Pan, W. D., Fu, J., & Wei, B. (2020). Margin Setting Algorithm for Pattern Classification via Spheres. Pattern Analysis and Applications, Springer, DOI: 10.1007/s10044-020-00888-3
    • Wang, Y., Fu, J. & Wei, B. (2019). A Novel Parallel Learning Algorithm for Pattern Classification. SN Applied Sciences, Springer, 1: 1647.
    • Wei, B., Delugach, H. S., & Wang, Y. (2019). From State Diagrams to Sequence Diagrams: A Requirements Acquisition Approach. International Journal of Computers and Applications, Taylor and Francis, 41(2), 89-111.
    • Wang, Y., Fu, J., & David Pan, W. (2018). Impact of Setting Margin on Margin Setting Algorithm and Support Vector Machine. Journal of Imaging Science and Technology, Society for Imaging Science and Technology (IS&T), 62(3), 30501-1.
    • Wang, Y., Amin, M. M., Fu, J., & Moussa, H. B. (2017). A Novel Data Analytical Approach for False Data Injection Cyber-physical Attack Mitigation in Smart Grids. IEEE Access, IEEE, 5, 26022-26033.
    • Wang, Y., Fu, J., Adhami, R., & Dihn, H. (2016). A Novel Learning-based Switching Median Filter for Suppression of Impulse Noise in Highly Corrupted Colour Images. The Imaging Science Journal, Taylor and Francis, 64(1), 15-25.
    • Wang, Y., Adhmai, R., Fu, J., & Al-Ghaib, H. (2015). A Novel Supervised Learning Algorithm for Salt-and-Pepper Noise Detection. International Journal of Machine Learning and Cybernetics, Springer, 6(4), 687-697.

    Peer-Reviewed Conferences:

    • Nicolas, K., Wang, Y. (2019, October). A Novel Double Spending Attack Countermeasure in Blockchain. In 2019 10th IEEE Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON), New York, New York. IEEE.
    • Nicolas, K., Wang, Y., & Giakos, G. C. (2019, September). Comprehensive Overview of Selfish Mining and Double Spending Attack Countermeasures. In 2019 40th IEEE Sarnoff Symposium, Newark, New Jersey. IEEE.
    • Igwe, O. M., Wang, Y., & Giakos, G. C. (2018, November). Activity Learning and Recognition Using Margin Setting Algorithm in Smart Homes. In 2018 9th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON), New York, New York (pp. 653-658). IEEE.
    • Wei, B., Sun, J., Wang, Y. (2018, July) A Knowledge Engineering Approach to UML Modeling. In Thirtieth International Conference on Software Engineering and Knowledge Engineering (SEKE 2018), San Francisco Bay, California.
    • Wang, Y., Saez, B., Szczechowicz, J., Ruisi, J., Kraft, T., Toscano, S., Vacco, Z., & Nicolas, K. (2017, October). A Smart Campus Internet of Things Framework. In 2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON), New York, New York (pp. 498-503). IEEE.
    • Dinh, H., Adhami, R., & Wang, Y. (2015, July). A Multi-stage Noise Adaptive Switching Filter for Extremely Corrupted Images. In Seventh International Conference on Digital Image Processing (ICDIP 2015) (Vol. 9631, p. 96311Q). Los Angeles, California, International Society for Optics and Photonics. SPIE.
    • Wang, Y., Adhami, R., & Fu, J. (2015, July). A New Machine Learning Algorithm for Removal of Salt and Pepper Noise. In Seventh International Conference on Digital Image Processing (ICDIP 2015), Fort Lauderdale, Florida (Vol. 9631, p. 96311R). International Society for Optics and Photonics. SPIE.
    • Wang, Y., Pan, W. D., & Fu, J. (2015, April). Analysis of the Margin Setting Algorithm as a Margin-based Spherical Classification Method. In SoutheastCon 2015, Fort Lauderdale, Florida (pp. 1-7). IEEE.
    • Shen, H., Pan, W. D., & Wang, Y. (2015, April). A Novel Method for Lossless Compression of Arbitrarily Shaped Regions of Interest in Hyperspectral Imagery. In SoutheastCon 2015, Fort Lauderdale, Florida (pp. 1-6). IEEE.
  • Honors, Awards, and Grants
    • Manhattan College Summer Grant 2017
    • Best paper award, 2017 IEEE UEMCON, New York City, NY
    • Best paper award, 2015 ICDIP, Los Angeles, CA