Dr. Farrukh Ibne Mahmood

Dr. Farrukh ibne Mahmood is an educator and researcher specializing in photovoltaic (PV) reliability, solar energy, machine learning applications in energy systems, and agrivoltaics. He earned his PhD in Systems Engineering (Energy Systems) from Arizona State University (ASU), USA, where his dissertation focused on potential induced degradation (PID) of PV modules. Before pursuing his PhD, he completed his MS in Energy Systems Engineering from the National University of Sciences and Technology (NUST), Pakistan, and his BS in Electrical Engineering from the Lahore University of Management Sciences (LUMS), Pakistan. A recipient of the prestigious Fulbright Scholarship and the Abdus Salam Postdoctoral Fellowship, Dr. Mahmood has conducted collaborative research with leading U.S. institutions, including the National Renewable Energy Laboratory (NREL), the Florida Solar Energy Center at the University of Central Florida, and Purdue University. He has worked on PV module reliability and accelerated stress testing, performance optimization of bifacial modules, and has contributed to the development of an Electrostatic Voltage (ESV) method for IV curve measurement. He has also led machine-learning projects aimed at predicting food and energy yields and has developed global geospatial maps to better understand food–energy interactions across diverse climatic conditions in agrivoltaic systems. Dr. Mahmood has published in several high-impact journals. His teaching and mentoring philosophy emphasizes interdisciplinary learning, innovation, and preparing the next generation of engineers and computing scientists to address global challenges. He remains committed to advancing renewable energy research while contributing to practical, data-driven analytics for real-world energy problems.