Ahmed Aziz Ezzat

• INFORMS JFIG Teaching Excellence Award, Second Place, Junior Faculty Interest Group (JFIG), Institute for Operations Research & Management Science (INFORMS), 2025.
• IISE QCRE Teaching Award, Quality Control & Reliability (QCRE) Division, Institute of Industrial & Systems Engineers (IISE), 2025.
• IISE Teaching Excellence Award in Operations Research, Operations Research (OR) Division, Institute of Industrial & Systems Engineers (IISE), 2024.
• A. Walter Tyson Early Career Award, Rutgers University, 2023.
• Best Track Paper (Jointly with Co-authors), Energy Systems Track, IISE Annual Conference, New Orleans, LA, 2023.
• IISE Data Analytics Teaching Award, Data Analytics & Information Systems (DAIS) Division, Institute of Industrial & Systems Engineers (IISE), 2022.
• IIF-SAS® Research Award (Methodology Track), Institute of International Forecasters (IIF) and SAS® corporation, 2020.

IISE, INFORMS (Senior Member), IEEE-PES, IIF

•    Ph.D., Industrial & Systems Engineering, Texas A&M University, USA 2019
•    M.Sc., Industrial & Management Engineering, Arab Academy for Science & Technology, Alexandria, Egypt 2016
•    B.Sc., Industrial & Management Engineering, Arab Academy for Science & Technology, Alexandria, Egypt, 2013 
 

Dr. Ahmed Aziz Ezzat is an Assistant Professor of Industrial & Systems Engineering at Rutgers University, where he is a scholarly affiliate of the Rutgers AI & Data Science (RAD) collaboratory, and a faculty affiliate of 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, operations research) to problems in energy, environment, and industrial systems, with a focus on the following areas:

• AI for Energy & Environment
• Industrial AI
• Forecasting & Data Science
• Scientific & Physics-Informed Machine Learning
• Quality, Reliability, and Operations Engineering

Dr. Aziz Ezzat has led numerous federal, state, and industry-funded projects sponsored by the U.S. National Science Foundation, Department of Energy, Department of Transportation, New Jersey Economic Development Authority, and New Jersey Sea Grant Consortium, totaling $5.21M in research funding, including $2.18M as Principal Investigator. His research is published in top-tier journals such as Technometrics, Annals of Applied Statistics, IISE Transactions, IEEE Transactions, Applied Energy, Wind Energy, Renewable Energy, Nature Scientific Reports, and Journal of Manufacturing Science & Engineering, among others. 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 from Rutgers University 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 numerous 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 numerous 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 in collaboration with PG&E offered in 2024 and 2025. He is a senior member of INFORMS and a professional member of IISE, IEEE, and IIF.