Ahmed Aziz Ezzat

Assistant Professor

Industrial and Systems Engineering

Phone:848-445-3625
Fax:732-445-5467
Email:aziz.ezzat@rutgers.edu
Office:CORE Building, Room 228
Office Hours: By Appointment
Website: Ahmed Aziz Ezzat

My Faculty Page

https://ise.rutgers.edu/ahmed-aziz-ezzat

Education

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

Honors

• 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

IISE, INFORMS

Research Interests

Engineering-Driven Data Science, Renewable Energy Analytics and Forecasting, Physics-informed Statistical Learning with Applications in Energy, Manufacturing and Materials.

Selected Publications

• 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. • M. Mahmoudi, A. Ezzat, A. Elwany, "Layer-wise Anomaly Detection in Laser Powder Bed Fusion Metal Additive Manufacturing," Vol. 141(3), pp. 031002-1-12, 2019, ASME Transactions, Journal of Manufacturing Science and Engineering, 2019. • A. Ezzat, A. Pourhabib, Y. Ding, "Sequential Design for Functional Calibration of Computer Models," Vol. 60(3). pp. 286-296, Technometrics, 2017.