Onyema Nduka

Dr Onyema Nduka is a Senior Lecturer in Sustainable Power Systems at the Department of Electronic Engineering, School of Engineering, Physical and Mathematical Sciences (EPMS), Royal Holloway University of London. He holds IEEE Senior Membership, IET Membership, COREN Registration, and is a Fellow of the Higher Education Academy with a Postgraduate Certificate in Academic Practice from RHUL.

His educational background includes:

• PhD in Electrical Engineering from Imperial College London (awarded 2018)
• MSc in Control Systems from Imperial College London (awarded 2014)

Dr Nduka's research centers on sustainable power systems, developing analytical and computational tools for deeply decarbonised electricity networks. His work spans power system planning, physics-driven and data-driven modeling, and control strategies for high-renewable integration scenarios involving solar PV, electric vehicles, and battery storage. He employs advanced mathematics, statistics, control theory, and machine learning to address grid stability challenges.

His recent publications (2022-2025) reveal strong thematic convergence in machine learning applications for power flow analysis, microgrid resilience under extreme weather, and optimization frameworks for electric vehicle charging. These works consistently integrate data-driven methodologies with traditional power engineering to enhance grid flexibility and reliability amid renewable energy transitions.

Key recognitions include:

• Best Paper Award (Second Place) at International Conference on Smart Grid 2025
• Aluminum Extrusion Industries Plc Alex prize for best graduating student at FUTO
• Best Graduating Student in EEE Department at FUTO
• Mathematics Olympiad top honors from Mathematical Association of Nigeria
• Nestle PLC competition excellence award for South-south Nigeria zone

Dr Nduka actively mentors PhD researchers and secures competitive research funding through structured project leadership. His supervision portfolio includes current primary supervision of two funded doctoral candidates investigating data-driven grid operations and battery storage flexibility frameworks, alongside previous co-supervision of completed EV charging research at Imperial College.

• Active Projects: DENOC (2023-2027) on data-driven network operations; Automated framework for battery storage flexibility (2023-2026)
• Collaborations: TNEI Services Ltd (industry), Imperial College London, Nigerian/Indian universities

He operates within Royal Holloway's Power Systems Engineering Research Centre while maintaining cross-institutional partnerships that drive innovation in decarbonised electricity network solutions through both theoretical and applied research initiatives.