Dr Muhammad Aslam is a Lecturer in Power Systems at the James Watt School of Engineering, University of Glasgow, UK. Before joining University of Glasgow, he served as an Assistant Professor at Sejong University, Seoul, South Korea (2022–2024). He received his MS and PhD in Electrical Engineering from Myongji University, South Korea, in 2017 and 2021, respectively.

His research interests include artificial intelligence applications in power systems, including renewable energy forecasting, smart grids and microgrids, power flow analysis, data centre/renewables/electric vehicle integration, power system protection, and energy optimization.

He is a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE) and a Member of the Institution of Engineering and Technology (IET).

Artificial Intelligence in Power Systems: My research focuses on the development of intelligent, resilient, and sustainable power systems through artificial intelligence, advanced optimization, and data-driven modelling. My key research interests include:

• Energy Forecasting: Advanced forecasting of energy demand, and solar and wind power using deep learning and hybrid prediction models.
• Smart Grids and Microgrids: Power flow analysis, renewable energy integration, distributed energy resources, data-center integration, energy management, and optimal planning and operation of microgrids.
• Power System Protection: Intelligent fault detection, adaptive protection coordination, and AI-driven protection strategies for hybrid AC/DC power networks.
• Energy Optimization: Advanced optimization algorithms and uncertainty-aware modelling for efficient and reliable energy system operation.
• Electric Vehicles and Future Energy Networks: Electric vehicle charging demand forecasting and integration of emerging energy technologies into distribution networks.

List by: Type | Date

Title: AI-Driven Coordination Algorithms for Adaptive Fault Protection in Hybrid AC/DC Networks; Marie Skłodowska-Curie Actions (MSCA) Postdoctoral Fellowship, Horizon Europe: Funding Body: European Commission (European Union) Funding Awarded: £241,000 Role: Supervisor / Principal Investigator (PI): Project Duration: October 2026 – September 2028

Postdoctoral Research Supervision

• Dr Arif Mehdi – Marie Skłodowska-Curie Actions (MSCA) Postdoctoral Fellow, University of Glasgow (October 2026 – September 2028). Research Project: AI-Driven Coordination Algorithms for Adaptive Fault Protection in Hybrid AC/DC Networks.

University of Glasgow | Lecturer | 2024 – Present

• Circuit Analysis and Design (Year 2): Teaching undergraduate students, with a cohort of over 200 students.
• Microelectronic Systems (Year 1): Teaching undergraduate students, with a cohort of over 200 students.
• Power Electronics (Year 3): Scheduled to teach from 2027 onwards.

Past Teaching | Sejong University, South Korea | Assistant Professor

• Digital Signal Processing: Undergraduate teaching with an emphasis on theoretical foundations and practical applications.
• Artificial Intelligence for Cyber Security: Undergraduate teaching covering solving cybersecurity challenges using Artificial Intelligence.

University of Glasgow | Course Coordinator| Final Year Project | UESTCHN4008P

• He also serves as Final Year Project (FYP) Course Coordinator for the School's Transnational Education (TNE) programme, contributing to academic coordination, project supervision, and assessment development.