Dr. Ahmed Aziz Ezzat is an Assistant Professor of Industrial & Systems Engineering at Rutgers University, where he is a faculty affiliate of the Rutgers AI & Data Science (RAD) collaboratory, and the Rutgers Climate & Energy Institute (RCEI). Prior to joining Rutgers, he obtained his Ph.D. degree at Texas A&M University and his BSc. degree in Alexandria, Egypt, both in Industrial Engineering. Dr. Aziz Ezzat’s expertise is in the development of data science solutions (rooted in AI, ML, statistics, and operations research) for energy, environment, and industrial systems. His research has been funded by the U.S. National Science Foundation, Department of Energy, Department of Transportation, as well as state and industry sponsors, with a total funding of $5.21M (PI on $2.18M). His work has attracted substantial media attention, with coverage from ABC News, MarketWatch, Forbes, and the Asbury Park Press. Dr. Ezzat is frequently invited to present his research at international conferences and leading academic, industry, and government institutions, including a recent Congressional briefing on AI for Energy and the Environment.
At Rutgers, Dr. Aziz Ezzat has advised more than 40 mentees, from pre-college to post-docs, including six completed PhD and MSc. theses. His research has been recognized by the A. Walter Tyson Early Career award and the IIF-SAS® research methodology award, as well as with multiple best paper and poster awards at international conferences (along with his students and collaborators). His educational contributions have been recognized by teaching awards from three IISE divisions (Operations Research, Data Analytics, Quality & Reliability Engineering), as well as from INFORMS (JFIG Teaching Excellence Award). Dr. Aziz Ezzat has served as the 2023-2024 president of the IISE Energy Systems Division and is currently a council member at the INFORMS Quality, Statistics, and Reliability (QSR) Division, where he has introduced initiatives to advance the broader impacts of data and decision sciences, including the inaugural PG&E Energy Analytics challenge—a national-scale energy forecasting competition offered in collaboration with PG&E in 2024 and 2025. He is a senior member of INFORMS, and a professional member of IISE, IEEE, and IIF.