BIOGRAPHY: Williams-Paul Chukwuka Nwadiugwu received the B.Sc. in Computer Science & Applications (2013) and the M.Sc.-(IT) in Information Technology Engineering (2015), both with meritorious first class honors from the Bangalore university and Jain university in India respectively. He proceeded to receive the PhD (also with first class honors) in Electronics & IT Convergence Engineering from the Kumoh National Institute of Technology (KIT), South Korea in 2020. Prior to his academic sojourn to India and South Korea, Dr. Williams was a recipient of both the Ordinary (OND) and the Higher (HND) National Diploma in Mechanical Engineering from the Yaba College of Technology, Lagos, Nigeria in 2005 and 2008 respectively. He currently works as a senior research scientist and Associate Professor (Adjunct capacity) with the ICT-Convergence Research Center and the school of Electronics Engineering of KIT respectively. He has authored over 40 scholarly articles, SCOPUS and SCI/E journals till-date and has mentored numerous prospective M.Sc. and PhD candidates. Dr. Williams was one of the fewest recipients of the India-Nigeria Global Education scholarship grant of 2010, and a recipient of the Brain Korea (MSIT/NRF) Doctoral scholarship grant of 2016-2020. He was recently nominated, celebrated and featured in the USA-based “Who’s-Who-in-Nigerian-Diaspora” magazine publication of 2020 for his exemplary Engineering and Scientific accomplishments. He is a registered member of the Institute of Electrical and Electronics Engineers (IEEE) Board till date. He was appointed Session-Chair for the recently concluded ICTC-2020, ICAIIC-2021 & ICTC-2021 international conferences. He currently serves as guest journal reviewer for the IEEE Access, IEEE-TVT, IEEE-TCNS, IEEE-TIM, Ain Shams Engineering Journal (ASEJ) and the Mathematical Problems in Engineering (MDPI) Journal bodies.
His major research interests are in solving real-time and reliability constraints for Industrial IoT/smart systems, mobility sensors in localization (robotics) systems, the Ultrawideband (UWB) & other RF-embedded communication technologies, deep learning approaches for Avionic (Manned & Unmanned aircraft) systems, and the missile guidance & control communication systems.
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