Yousef Mahmoud
Atwater Kent, 204
Affiliated Department or Office
PhD Electrical & Computer Engineering University of Waterloo, Canada 2016
MS Electrical Power Engineering Masdar Institute of Science and Technology (with MIT), UAE 2012
BS Electrical Power Engineering Albalqa'a Applied University, Jordan 2009

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. He hopes as an educator to not only 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.

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.

Yousef Mahmoud
Atwater Kent, 204
Professional Highlights & Honors
University of Waterloo

The brain is our most complex organ and directs our physiology and behavior. Neuroscience research on how the brain works is crucial to advancements in a range of topics, including psychiatry (depression, anxiety), cognition, social behavior, neurological disorders (Alzheimer’s, epilepsy), as well as the effects of covid on the brain. You will learn about the basic structure and function of the brain and how researchers study the brains of various animals. We will explore the processes crucial to how the brain works and what happens to these processes in both health and various disease states. Expert speakers will present how they use state of the art molecular genetic, data analytics, biochemical, and neuroimaging techniques to investigate the brain and its impact on our daily lives. You will leave with a valuable introduction to the mysteries of the brain which may provide a launch pad for an eventual career in neuroscience.

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IEEE International Renewable Energy Congress IREC