Dr. Morcos Metry received his Ph.D. degree in electrical engineering. His dissertation entitled “Model Predictive Control Methods for Photovoltaic Electrical Energy Conversion Systems” studied the theory of finite control set model predictive control (MPC) and the application to power electronics for photovoltaic (PV) energy systems. He developed novel control algorithms based on MPC for sensorless maximum power point tracking (MPPT) of the PV cells, control of single and three-phase grid-interactive inverters, and active filtering of the double-frequency power ripple within the single-phase inverter. His research resulted in a US patent application in addition to many scholarly conferences and journal publications. He also has extensive teaching experience as the primary lecturer and course instructor for the power electronics class as a Graduate Teaching Fellow for two years.

Dr. Metry received his B.S. from Texas A&M University at Qatar in electrical and computer engineering, with honors, in May 2014. Then he joined the Electrical and Computer Engineering department at Texas A&M University, College Station, TX USA to pursue his Ph.D. in Power Electronics. Morcos is also a research trainee in the Research and Development department of Qatar Foundation. His interest areas are in photovoltaic integration with the power grid using advanced control methods.