Yi Wang

Associate Professor, Electrical & Computer Engineering

Dr. Yi Wang is an Associate Professor in the Department of Electrical and Computer Engineering at Manhattan College, New York. His recent research interests include machine learning and deep learning, cybersecurity, and blockchain with applications in cyber-physical systems. He is a senior member of IEEE (2021). He has received funding from the National Science Foundation (NSF).

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
  • EECE 417/ECEG717 Mobile Applications and Cybersecurity
  • EECE 475 Computer Networks Architecture
  • 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 and Deep Learning, Cyber Security, Blockchain

  • Publications and Scholarly Activities
     Selected Peer-Reviewed Journals:
    • Pancari, S., Rashid, A., Zheng, J., Patel, S., Wang, Y. (2023). A Systematic Comparison between Ethereum and Hyperledger Fabric Blockchain Platform for Attribute-based Access Control in Smart Home IoT Environments, Sensors, 23(16), 7046.
    • Zheng, J., Dike, C., Pancari, S., Wang, Y., Giakos, G. C., Elmannai, W., & Wei, B. (2022). An In-Depth Review on Blockchain Simulators for IoT Environments. Future Internet, 14(6), 182.
    • 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.

    Selected Peer-Reviewed Conferences:

    • Nicolas,D., Figueroa, H., Wang,Y., Elmannai, W., Giakos G. C. (2023, November), Adversarial Machine Learning Architecture in AI-Driven Power Systems, In 2023 IEEE Int. Conf on Dependable, Autonomic and Secure Computing, Abu Dhabi, UAE (pp.0317-0322). IEEE.
    • Figueroa, H., Wang, Y. Giakos, G. C. (2022, June). Adversarial Attacks in Industrial Control Cyber-Physical Systems, In 2022 IEEE International Conference on Imaging Systems and Techniques (IST), Virtual. IEEE
    • 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

    • Wang, Y. (Principal), "Collaborative Research: Undergraduate Interdisciplinary Research in Spain on Smart Connected Systems (UIRiSCS)," Sponsored by National Science Foundation, Federal, $149,993.00. (September 2022 - August 2025).

    • Volovski, M. (Principal), Gerhardt, I. (Co-Principal), Wang, Y. (Co-Principal), El-Hakim, M. (Co-Principal), "NYC DOT Neighborhood Loading Zone Evaluation Study," Sponsored by New York City Department of Transportation, Local, $61,783.00. (June 2022 - Present).

    • Faculty Summer Grant, Manhattan College, May 2021 - Aug 2021
    • Faculty Summer Grant, Manhattan College, May 2017 - Aug 2017
    • Best paper award, 2017 IEEE UEMCON, New York City, NY
    • Best paper award, 2015 ICDIP, Los Angeles, CA