Mr. Victor Omeke | Wireless Sensor Networks | Best Researcher Award
Mr. Victor Omeke | Nigerian defence academy | Nigeria
Mr Victor Omeke is a dedicated graduate student and researcher at the Nigeria Defence Academy, specializing in Electrical and Electronic Engineering with a strong focus on telecommunications, information and communication technology, and applied artificial intelligence. He holds a Bachelor of Engineering and a Master of Engineering in Electrical and Electronic Engineering (Telecommunications) and is currently pursuing further postgraduate research. Mr Victor Omeke has developed strong expertise in MATLAB-based simulations, wireless sensor networks, and energy-efficient communication systems, with a research record that demonstrates both academic rigor and practical impact. His notable contributions include the design of an energy-efficient wireless sensor network using Simulink, which achieved energy savings of thirteen point four percent and extended battery life by fifteen point four nine percent, providing sustainable solutions for smart cities and precision agriculture. Furthermore, Mr Victor Omeke co-developed an artificial intelligence-driven Global System for Mobile Communication Alerting System that achieved an accuracy rate of eighty-six point zero eight percent in fraud detection, offering significant improvements in financial cybersecurity and anti-money laundering applications. With two published journal papers, multiple completed and ongoing research projects, and professional recognition as an Associate of the International Institute of Safety Management, Mr Victor Omeke demonstrates innovation, sustainability, and problem-solving capacity, positioning him as a promising researcher with strong potential for impactful global contributions.
Featured Publications
Adunola, F. O., Omeke, V. N., Ahmad, A. A., Bunu, A. R., Nkohon, A. J., & Obiajulu, E. (2025, July 31). Energy-efficient wireless sensor network for real-time environmental monitoring: Simulink-based design. Discover Electronics, 2948-1600.
Ndueso, J., Nkohon, A., Mommoh, J., Dakwat, A., Bulama, H., & Omeke, V. N. (2025, May). Development of an artificial intelligence GSM alerting system for mitigating money laundry.