Williams Nwadiugwu

Williams is an Assistant Professor at the Laurentian University's School of Engineering and Computation Science in Sudbury, Ontario. He holds a PhD in IT (with Electronics Convergence) Engineering from the Kumoh National Institute of Technology (KIT), South Korea. He proceeded to serve as a Postdoctoral Fellow, Teaching Faculty and Research Associate Professor at the same University's (KIT) School of Electronic Engineering, and at it's Convergence Research Center (ICT-CRC), respectively. Since the FALL of 2022, he has worked in numerous capacities as a Senior Researcher, Postdoc and Lecturer, within the Toronto Metropolitan University (TMU) Faculty of Engineering and Architectural Science (FEAS), and the Department of Science (Computer Sc), in Ontario, Canada respectively. Williams has authored over 40 peer-reviewed global/international competitive publications and has mentored numerous undergraduate/graduate/postgraduate students. He is a recipient of the Brain Korea (MSIT/NRF) Doctoral Scholarship (2016-2020), a recipient of the India Global Education grant (2010-2013), and is a ranking registered Senior Member of the Institute of Electrical and Electronics Engineers (IEEE), among many other achievements. He currently serves as the Director of NeXNet Research Lab within the Laurentian University's School of Engineering and Computation Science, and regularly reviews for several top IEEE journal transactions and other reputed academic publications.

1. IEEE Transactions on Vehicular Technology.
2. IEEE Transactions on Control of Network Systems.
3. IEEE Transactions on Instrumentation and Measurements.
4. IEEE Robotics and Automation Letters.
5. IEEE Access journals.

Major research interests are in solving real-time reliability constraints for:

• Industrial internet of things (IIoT) based network systems.
• Avionic (UAV/MAV/Aircraft) systems control and network.
• Artificial intelligence (AI) frameworks || machine learning (ML) || deep learning (DL) networks.
• Software-defined network (SDN) systems.
• Wireless wide-band radio-frequency (RF) network protocols & communication.
• Robotics || mobility-sensor based network systems.

• Brain Korea (MSIT/NRF) Doctoral Grant (2016-2020)
• India Global Education Grant (2010-2013) 
• USA-based Who’s-Who Diaspora Celebrity Magazine (2020 Ed.).
• Best Paper Award 2019 (Co-Author) Korean Institute of Communications & Information Sciences (KICs) National (Winter) Conference.

[LIST OF SELECT JOURNAL PUBLICATIONS]

• A. Shaharyar Khwaja, N. Tri Vo, W. -P. Nwadiugwu, et al. "Digital Twin-Assisted Load-Balanced User Association and AoI-Aware Scheduling in IoT Networks," in IEEE Access, vol. 13, pp. 95888-95910, 2025, doi: 10.1109/ACCESS.2025.3574291. [LINK]
• W. -P. Nwadiugwu, et al., “MAD-DDS: Memory-efficient Automatic Discovery Data Distribution Service for Large-Scale Distributed Control Networks” IET Communications, DOI:10.1049/cmu2.12645. May 2023. [LINK]
• W. -P. Nwadiugwu, W. Ejaz, M. Kaneko and A. Anpalagan, "Neural-Network-Assisted Packet Accelerators for Internet of Things Network Systems," in IEEE Internet of Things Journal, vol. 10, no. 17, pp. 15238-15251, Sept.1, 2023, doi: 10.1109/JIOT.2023.3265344. [LINK]
• W. -P. Nwadiugwu, et al, "Reconfigurable Physical Resource Block Using Novel – Beamforming Filter Circuit for LTE-Based Cell-Edge Terminals," in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 41, no. 11, pp. 5131-5135, Nov. 2022, doi: 10.1109/TCAD.2022.3146847. [LINK] 
• W. -P. Nwadiugwu, et al, "Compressed Time-Frequency Channel Beamforming Using Empirical MIMO-UWB RFs for Indoor Jobshop," in IEEE Sensors Journal, vol. 22, no. 6, pp. 5457-5469, 15 March15, 2022, doi: 10.1109/JSEN.2021.3117339. [LINK] 
• W. -P. Nwadiugwu, et al, "Precise-Point-Positioning Estimations for Multi-Dimensional Drones using Optimized Cubature-Extended Filters," in IEEE Access, September 2021 vol. 9, pp. 134369-134383, 2021, doi: 10.1109/ACCESS.2021.3116058. [LINK] 
• S. -H. Kim, J. -W. Kim, W. -P. Nwadiugwu et al., "Deep Learning-based Robust Automatic Modulation Classification for Cognitive Radio Networks," in IEEE Access, doi: 10.1109/ACCESS.2021.3091421. [LINK] 
• W. -P. Nwadiugwu, et al., "Novel MIMO-UWB based AG-UG-AG Routing with Microbit Sensors for WUSN," IEEE Sensors Letters, Feb. 2021, doi: 10.1109/LSENS.2021.3060826. [LINK]
• E.D. Tita, W. Nwadiugwu, et al., Real-time optimizations in energy profiles and end-to-end delay in WSN using two-hop information, Computer Communications (Jan. 2021), doi: https://doi.org/10.1016/j.comcom.2021.02.007. [LINK].
• Kevin Putra, Williams Paul Nwadiugwu, et al., "Dual Fieldbus Industrial IoT Networks using Edge Server Architecture," Elsevier Manufacturing Letters, April 2020. (doi: https://doi.org/10.1016/j.mfglet.2020.04.006). [LINK]
• W. Nwadiugwu, et al, "Novel MA-VFBC Based Deployment of Obstacle-avoiding Scattered Sensors for Region-of-Interest Incidence Monitoring", IEEE Access, vol. 8, pp. 3065-3075, Jan. 2020. (DOI: 10.1109/ACCESS.2019.2962254). [LINK]
• Williams-Paul Nwadiugwu, et al., "Ultrawideband Network Channel Models for Next Generation Wireless Avionic Systems", IEEE Transactions on Aerospace and Electronic Systems, May 2019. (DOI: 10.1109/TAES.2019.2914538). [LINK]
• Williams Paul Nwadiugwu, et al., "Real-time Energy-efficient Deployment of Mobile Sensors in Disaster-prone Locations", International Journal of Communication Networks & Distributed Systems, vol. 23, No. 3, pp.307-327, Feb. 2019. (DOI: 10.1504/IJCNDS.2019.10015202 ). [LINK]