Ahmed Aziz Ezzat

Assistant Professor

Industrial and Systems Engineering

Office:CORE Building, Room 228
Office Hours: By Appointment
Website: Renewables & Industrial Analytics (RIA) Research Group
Ahmed Aziz Ezzat is an Assistant Professor of Industrial and Systems Engineering at Rutgers University. He received his Ph.D. in Industrial and Systems Engineering at Texas A&M University in 2019, and his B.Sc. degree in Industrial and Management Engineering in Alexandria, Egypt, in 2013. His broad research interests are in the areas of spatio-temporal data and decision sciences, probabilistic forecasting, quality and reliability engineering, with focus on energy analytics (data science for renewable energy) and materials informatics (data science for materials engineering). Dr. Aziz Ezzat’s work has been published in leading journals such as The Annals of Applied Statistics, Technometrics, IEEE Transactions on Sustainable Energy, among others. His awards include the 2022 IISE DAIS Teaching Award, the 2020 IIF-SAS® research award, the 2020 Rutgers OAT Teaching Award, the 2019 ISEN Outstanding Graduate Student at Texas A&M, and the IISE Sierleja Memorial Fellowship in 2014. At Rutgers, Dr. Aziz Ezzat leads the Renewables & Industrial Analytics (RIA) research group. The research and educational activities at RIA have been supported by several grants, including from the National Science Foundation (NSF), NJ Economic Development Authority, Institute of International Forecasters and SAS corporation, and the Rutgers Energy Institute. He is a member of IISE, IEEE-PES, and INFORMS.


• Ph.D., Industrial & Systems Engineering, Texas A&M University, USA, 2019

• M.Sc. and B.Sc., Industrial & Management Engineering, Arab Academy for Science & Technology, Alexandria, Egypt, 2013 and 2016, respectively. 


• IISE DAIS Teaching Award, 2022.

• IIF-SAS Research Award (Methodology Track), 2020. 

• Finalist, 3 Minute Thesis Competition at Texas A&M University, for the presentation titled: "Wind Energy: A New Solution To a 5000-year Old Problem" (2019)

• Outstanding Member of The Year, Texas A&M INFORMS Chapter (2018)

• Outstanding Graduate Student of The Year, Department of Industrial & Systems Engineering, Texas A&M University (2019)

• First Place, Quality, Statistics and Reliability (QSR) Student Poster and Interaction Competition, INFORMS Annual Meeting, Houston, TX, USA (2017)

• Bronze Prize, South Eastern Texas Chapter of the American Statistical Association (ASA) Poster Competition, College Station, TX, USA (2016)

• Best Oral Presentation, Texas A&M Conference on Energy, College Station, TX, USA (2016)

• Recipient of Sierleja Memorial Fellowship, Institute of Industrial and Systems Engineers (IISE) (2014)

• Third Place, Best Student Paper Competition, 4th International Conference on Industrial Engineering and Operations Management (IEOM), Bali, Indonesia (2013)

Professional Affiliations


Research Interests

Spatio-temporal Data Science, Energy Analytics, Probabilistic Forecasting, Materials Informatics, Quality and Reliability Engineering

Selected Publications

• P. Papadopoulos, D. Coit, A. Ezzat, “Seizing Opportunity: Maintenance Optimization in Offshore Wind Farms Considering Accessibility, Production, and Crew Dispatch,” IEEE Transactions on Sustainable Energy, 13(1), 111-121, 2022. 

• A. Ezzat, “Turbine-specific Short-term Wind Speed Forecasting Considering Within-farm Wind Field Dependencies and Fluctuations,” Applied Energy, 269, 115034, 2020.

• A. Ezzat, M. Jun, Y. Ding, “Spatio-temporal short-term wind forecast: A calibrated regime-switching method,” The Annals of Applied Statistics, 13(3), 1484-1510, 2019. 

• A. Ezzat, M. Jun and Y. Ding, "Spatio-temporal Asymmetry of Local Wind Fields and Its Impact on Short-term Wind Forecasting," IEEE Transactions on Sustainable Energy, Vol. 9(3), pp. 1437-1447, 2018.

• A. Ezzat, A. Pourhabib, Y. Ding, "Sequential Design for Functional Calibration of Computer Models," Vol. 60(3). pp. 286-296, Technometrics, 2018.