Yousef Mahmoud has joined Worcester Polytechnic Institute WPI, MA, USA as an Assistant Professor on Aug/2016 upon obtaining his Ph.D. degree in Electrical and Computer Engineering from University of Waterloo, Canada. He is interested in improving the efficiency, reliability, operation, and control of renewable energy systems. He is also interested in their applications in smart cities.
He is an IEEE senior member and the director of the Renewable Energy Innovations Laboratory. He was awarded the Best Paper Award in the IEEE International Renewable Energy Congress on Mar/2017. He is a regular reviewer for several IEEE Transactions Journals related to his research interests, and is listed as a Star Reviewer 2016 by the IEEE Transactions on Energy Conversion.
Yousef Mahmoud received the Outstanding Teaching Assistantship Award from University of Waterloo, Canada. His main goal as an educator is not only to make his students successful under his supervision, but also to help them succeed throughout their careers by developing in students a desire to learn, a desire to advance, and a desire to excel in everything they do in life.
He has extensively worked on solar PV systems, and his featured contributions in this area are summarized:
1- A reduction in the heavy computational time needed for simulating large, partially shaded PV systems has been provided by a proposed PV circuit model, which offers comparable accuracy but requires less computational time.
2- The estimation of power peaks for partially shaded PV systems is now possible in a few seconds as opposed to the few hours previously required with existing methods. This was also utilized for the first-time development of a model-based MPPT for partially shaded PV systems which improves the dynamics of the tracking.
3- The use of MPPT methods that combine model-based and heuristic techniques, which feature reduced tracking power losses, has been facilitated by reducing their cost and complexity through the elimination of the previously required temperature measurements.
4- Misleading power losses have been eradicated for partially shaded PV systems through the development, for the first time, of a model-based MPPT method for use with partially shaded PV systems. The new method avoids the curve scanning required with existing MPPT methods.
5- Mismatch power losses in partially shaded PV systems have been minimized by the development of a new reconfiguration algorithm that reduces the time delay inherent in existing methods.