SIE Seminar: Ahmed Aziz Ezzat
November 3, 2022 - 02:00 p.m. (MST)
Ahmed Aziz Ezzat
Assistant Professor of Industrial and Systems Engineering
Rutgers University
"Predictive and Prescriptive Analytics for Offshore Wind Energy"
In-Person at ENGR 301 or via Zoom
Abstract: The rising U.S. offshore wind industry, especially off the U.S. Atlantic coast, holds great promise, both environmentally and economically, as a clean, domestic, and renewable source of energy. Yet, tailored data science solutions and mathematical models are needed to enable the reliable and cost-effective integration of those soon-to-be-operational offshore wind farms. In this talk, Dr. Ezzat will mainly present his research group’s progress on two main fronts: (i) AIRU-WRF: a physics-guided data science model to forecast offshore wind power using heterogeneous, multi-resolution data inputs, and (ii) STOCHOS: an offshore-tailored mathematical model to optimize operations and maintenance decisions under uncertainty. Their models and analyses are developed and tested using data from the NY/NJ Bight—where several GW-scale wind projects are currently under development.
Bio: Dr. Ahmed Aziz Ezzat is an assistant professor of industrial and systems engineering at Rutgers University, where he leads the Renewables & Industrial Analytics (RIA) research group [RIA Research Group]. Before joining Rutgers, Dr. Aziz Ezzat received his Ph.D. from Texas A&M University in 2019, and his B.Sc. degree from Alexandria, Egypt, in 2013, both in Industrial Engineering. His broad research interests are in the areas of spatio-temporal data and decision sciences, probabilistic forecasting, quality and reliability engineering, with a focus on renewable energy analytics and industrial/materials informatics. Dr. Aziz Ezzat is the recipient of the 2022 Data Analytics Teaching Award from the IISE DAIS Division, The 2020 IIF-SAS® research award from the Institute of International Forecasters and SAS corporation, the 2020 Rutgers OAT Teaching Award, and the 2014 IISE Sierleja Fellowship. He currently serves as the president-elect of the IISE Energy Systems (ES) Division, and an elected board member at the IISE Quality Control & Reliability Engineering (QCRE) division. His research has been supported by the National Science Foundation (NSF), NJ Economic Development Authority, The Rutgers Energy Institute, as well as industry. He is a member of INFORMS, IEEE-PES, and IISE.