Yi Wang

Dr. Yi Wang is an Associate Professor and Department Chairperson of the Electrical and Computer Engineering Graduate Programs at Manhattan College, New York. He also serves as Director of the Electrical & Computer Engineering Graduate Program. His research focuses on machine learning, deep learning, cybersecurity, blockchain, and their applications in cyber-physical systems. Dr. Wang is an IEEE Senior Member (since 2021) and has secured NSF grants totaling over $149,000.

Education:

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

Research Interests:

• Machine learning and deep learning algorithms
• Cybersecurity for IoT and smart grids
• Blockchain applications in attribute-based access control
• Adversarial machine learning defense mechanisms
• Optical fiber communication systems

Recent Publications Trends: His work spans blockchain platform comparisons, adversarial attack mitigation in power systems, and AI-driven smart home solutions. He frequently publishes in IEEE journals and conferences.

Awards:

• Best Paper Award at 2017 IEEE UEMCON
• Best Paper Award at 2015 ICDIP

Grants and Advising: Principal Investigator for NSF-funded UIRiSCS project (2022–2025). Co-Principal on NYC DOT Loading Zone Study. Recipient of Manhattan College Faculty Summer Grants (2021, 2017). Advises graduate students in cybersecurity and IoT research.

Labs/Teams: Collaborates with the University of Zaragoza, Spain on smart systems research. Leads projects on plastic optical fiber networks and AI-driven smart home systems.