2024 Invited Speakers
Dr. NUR FADILAH AB AZIZ
Universiti Tenaga Nasional (UNITEN), Malaysia
Research Areas: power system analysis, electric vehicle, and machine learning application in power system
Biography: Dr. NUR FADILAH AB AZIZ received the Master of Engineering degree (1st class Hons.) in Electrical Engineering from University of Southampton, UK in 2006 and Ph. D. degree from Universiti Teknologi Mara, Shah Alam in 2014. She is a member of Board of Engineers Malaysia (BEM) and IEEE since 2008 and has served as the Executive Committee in IEEE Power Energy Society (PES) Malaysia Chapter since 2021. She is currently at the Department of Electrical and Electronics Engineering, at Universiti Tenaga Nasional (UNITEN), Malaysia as the Head of Programme of Board of Engineers Malaysia Graduate Assessment Programme (BEM-GAP). She was the recipient of Teaching Excellence Award 2022 and Highest Number of Publication 2018 at College of Engineering, UNITEN. She has served as the External Examiner for several universities in Malaysia and she is also the Editorial Board Members for IEEE Access, Smart Grids (Frontiers in Energy Research), and Journal of Electrical & Electronic Systems Research. As a researcher, she has successfully led and completed several research grants in engineering focusing mainly on power system analysis, electric vehicle, and machine learning application in power system. She has published more than 60 publications in international journals and conferences, two books and several chapters in edited books. She has also co-authored several technical manuals for Tenaga Nasional Berhad (Malaysia’s electric utility company) which are “A Guide For Distribution Protection Setting & Coordination”, and “Testing & Commissioning Guidelines for Distribution Substation”. She is also active in industry-based research. She has involved with several research and industry projects and supervised several graduated PhD and Master students. Her research interest includes power system analysis and resilience, renewable energy, fault identification and location, statistical pattern recognition, Artificial Intelligent (AI) and machine learning application in power system.