Imran Pervez's research focuses on integrating machine learning, optimization, and advanced control methodologies for power systems, with applications in renewable energy integration, stochastic and robust model predictive control, and data-driven decision-making to improve the efficiency, reliability, and economic performance of modern energy systems.
Biography
Imran is a Ph.D. student in Electrical and Computer Engineering at King Abdullah University of Science and Technology (KAUST) supervised by Prof. Shehab Ahmed Elsayed. He has published his works in such journals as IEEE Transactions on Sustainable Energy, IEEE Access and IEEE Open Journal of Power Electronics, as well as such conferences as IEEE International Symposium on Circuits and Systems (ISCAS) and IEEE International Midwest Symposium on Circuits and Systems (MWSCAS) with a focus on developing novel methodologies and integration of AI, optimization, and advanced control methods to enhance the performance, reliability, and sustainability of power and renewable energy systems. He also received best paper awards in conferences. He completed his M.S. in Electrical and Computer Engineering at KAUST and his bachelors in Electrical and Computer Engineering at Aligarh Muslim University (AMU), India.
Education
- Bachelor of Technology (B.Tech.)
- Electrical and Electronics Engineering, Aligarh Muslim University (AMU), India, 2020
- Master of Science (M.S.)
- Electrical and Computer Engineering, King Abdullah University of Science and Technology (KAUST), Saudi Arabia, 2022
