Muhammad Faizan Tahir
Research Associate
Affiliation: NYU Abu Dhabi
Education: PhD South China University of Technology
Research Websites: Robotics and Intelligent Systems Control Laboratory (RISC Lab)
Research Areas: Renewable energy integration, demand response, load management, power system optimization, integrated energy system planning, exergy analysis, PV power forecasting and machine learning applications
Muhammad Faizan Tahir received his BSc in Electrical Engineering from the University of Engineering and Technology Taxila, Pakistan, in 2011, his MS in Electrical Engineering from the University of Lahore, Pakistan, in 2015, and his PhD in Power System and Automation from the South China University of Technology, China, in 2020. His research interests include renewable energy integration, demand response, load management, power system optimization, integrated energy system planning, exergy analysis, PV power forecasting, and machine learning applications.
Tahir has published over 55 research articles, with an h-index of 26, in leading international journals, including Renewable and Sustainable Energy Reviews, Energy Conversion and Management, Renewable Energy, Journal of Energy Storage, Energy Strategy Reviews, IEEE Systems Journal, Energy, and several other high-impact journals. He also actively serves as a reviewer for numerous top-tier journals and has served as Guest Editor for Frontiers in Energy Research and Energies.
From 2012 to 2016, Tahir was a Lecturer at the University of Lahore, and from 2020 to 2022, he worked as a postdoctoral fellow at the South China University of Technology. Since 2023, he has been with New York University Abu Dhabi, where he initially worked as a Postdoctoral Associate on the VRI project in collaboration with Khalifa University. Since 2025, he has been serving as a Research Associate in the Robotics and Intelligent Systems Control Laboratory (RISC Lab).