Research: AI-enhanced wireless communication systems, THz channel modeling, UAV network optimization.
Leadership: Chair, School of Engineering Curriculum & Policy Committee (2022–2023); ABET assessment lead.
Mentorship: Supervised 9 Ph.D. and 10+ M.S. theses in communications and signal processing.
Electrical Engineering expert with 20+ years of academic and 6+ years of industry experience spanning wireless communications, signal processing, and digital systems.
Independent AI Trainer in Electrical Engineering (Wireless Communications) creating advanced reasoning prompts and evaluation rubrics that push AI model reasoning limits for domain accuracy and reliability.
Author of 150+ peer-reviewed publications, 4 books, 4 patents, and 40+ conference papers.
Recognized for ABET accreditation leadership, cross-disciplinary research, and mentoring the next generation of engineers.
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