Publications
* indicates a (current or former) student directly advised by Dr. Aziz Ezzat.
Peer-Reviewed Journal Publications:
[J1] Ahmed Aziz 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. DOI: https://doi.org/10.1109/TSTE.2018.2789685
• Best Student Poster Award, QSR Section, INFORMS Annual Meeting, 2017.
• Bronze Prize, Best Student Poster Competition, South Eastern Texas Chapter of the American
Statistical Association (SETCASA), Texas A&M University, 2017.
• Best Presentation Award (Conference-wide), Texas A&M Conference on Energy, 2016.
[J2] Ahmed Aziz Ezzat, A. Pourhabib, Y. Ding, “Sequential Design for Functional Calibration of Computer Models,” Technometrics, 60(3). pp. 286-296, 2018. DOI: https://doi.org/10.1080/00401706.2017.1377638.
• Invited by Technometrics editorial board to a special session at the ASA Joint Statistical
Meetings (JSM) in Vancouver, Canada, 2018 (one of only two papers invited).
[J3] Ahmed Aziz Ezzat, M. Jun and Y. Ding, “Spatio-temporal Short-term Wind Forecast: A Calibrated Regime-switching Method,” The Annals of Applied Statistics, Vol. 13(3), pp. 1484-1510, 2019. DOI: https://doi.org/10.1214/19-aoas1243.
[J4] M. Mahmoudi, Ahmed Aziz Ezzat, A. Elwany, “Layer-wise Anomaly Detection in Laser Powder Bed Fusion Metal Additive Manufacturing,” Journal of Manufacturing Science & Engineering, 141(3), 031002-1-12, 2019. DOI: https://doi.org/10.1115/1.4042108.
[J5] M. Ali, Ahmed Aziz Ezzat, H. Nasr, “A Model To Simulate Matrix Acid Stimulation for Wells in Dolomite Reservoirs With Vugs and Natural Fractures,” SPE Journal, Vol. 25(2), pp. 609-631, 2020. DOI: https://doi.org/10.2118/199341-PA.
[J6] Ahmed Aziz Ezzat, “Turbine-specific Short-term Wind Speed Forecasting Considering Within-farm Wind Field Dependencies and Fluctuations,” Applied Energy, Vol. 269, pp. 1150342020, 2020. DOI: https://doi.org/10.1016/j.apenergy.2020.115034.
[J7] Ahmed Aziz Ezzat, J. Tang, Y. Ding, “A Model-based Calibration Framework for Structural Fault Diagnosis Using Piezoelectric Impedance Measurements and a Finite Element Model,” Structural Health Monitoring, Vol. 19(6), pp. 1839-1855, 2020. DOI: https://doi.org/10.1177/1475921719901168.
[J8] Ahmed Aziz Ezzat, M. Bedewy, “Machine Learning for Revealing Spatial Dependence among Nanoparticles: Understanding Catalyst Film Dewetting via Gibbs Point Process Models”, Journal of Physical Chemistry C, Vol. 124(50), pp. 27479-27494, 2020. DOI: https://doi.org/10.1021/acs.jpcc.0c07765.
[J9] A. Kotb, Ahmed Aziz Ezzat, M. Ali, A. Elwany, H. Nasr Eldin, “A Calibrated Computational Fluid Dynamics Model for Simulating the Rotating Disk Apparatus,” SPE Journal, 26(6), 2021. DOI: https://doi.org/10.2118/193739-PA.
[J10] Ahmed Aziz Ezzat, S. Liu, D. Hochbaum, Y. Ding, “A Graph-Theoretic Approach for Spatial Filtering and Its Impact on Mixed-type Spatial Pattern Recognition in Wafer Bin Maps,” IEEE Transactions on Semiconductor Manufacturing, Vol. 34(2), pp. 194-206, 2021. DOI: https://doi.org/10.1109/TSM.2021.3062943.
[J11] B. Golparvar, P. Papadopoulos*, Ahmed Aziz Ezzat, RQ Wang, “A Surrogate-Model-Based Approach for Estimating the First and Second-Order Moments of Offshore Wind Power,” Applied Energy, 2021. DOI: https://doi.org/10.1016/j.apenergy.2021.117286.
• Invited by MIT A+B 2020 conference scientific committee for submission to Applied Energy.
[J12] P. Nasery*, Ahmed Aziz Ezzat, “Yaw-Adjusted Wind Power Curve Modeling: A Local Regression Approach,” Renewable Energy, 202, pp. 1368 – 1376, 2023. DOI: https://doi.org/10.1016/j.renene.2022.12.001.
[J13] P. Papadopoulos*, D. Coit, Ahmed Aziz Ezzat, “Seizing Opportunity: Maintenance Optimization in Offshore Wind Farms Considering Accessibility, Production, and Crew Dispatch,” IEEE Transactions on Sustainable Energy, 13(1), 2022. DOI: https://doi.org/10.1109/TSTE.2021.3104982
• Finalist, Best Student Poster Competition, Mixed Integer Programming (MIP) Workshop, 2020.
[J14] J. Chheda, Y. Fang*, C. Deriu, Ahmed Aziz Ezzat, Laura Fabris “Discrimination of Genetic Biomarkers of Disease through Machine Learning-Based Hypothesis Testing of Direct SERS Spectra of DNA and RNA,” ACS Sensors, 9(5), 2488-2498, 2024. DOI: https://doi.org/10.1021/acssensors.4c00166.
[J15] Y. Fang*, Q. Zhao, Ahmed Aziz Ezzat, R. Sills “Constructing Coarse-Grained Models with Physics-Guided Gaussian Process Regression,” APL Machine Learning, 2(2), 2024. DOI: https://doi.org/10.1021/acssensors.4c00166
• Featured as the “Editor’s Pick” for this issue at APL Machine Learning.
[J16] F. Ye* and Ahmed Aziz Ezzat, “Icing Detection and Prediction for Wind Turbines Using SCADA Data and Machine Learning,” Renewable Energy, 231, p.120879, 2024. DOI: https://doi.org/10.1016/j.renene.2024.120879.
[J17] P. Papadopoulos*, D. Coit, Ahmed Aziz Ezzat, “STOCHOS: Stochastic Opportunistic Maintenance Scheduling in Offshore Wind Farms,” IISE Transactions (flagship journal of IISE), 56(1), 2024. DOI: https://doi.org/10.1080/24725854.2022.2152913.
• Featured in the ISE Magazine by the Institute of Industrial & Systems Engineers (IISE), 2023.
[J18] F. Ye*, J. Brodie, T. Miles, Ahmed Aziz Ezzat, “AIRU-WRF: A Physics-Guided Spatio-Temporal Wind Speed Forecasting Model and Its Application to the U.S. Mid Atlantic Offshore Wind Energy Areas,” Renewable Energy, 223, p.119934, 2024. DOI: https://doi.org/10.1016/j.renene.2023.119934.
• Best Student Paper Award, Sustainability Cluster, INFORMS Annual Meeting, 2022.
• Best Track Paper Award, IISE Energy Systems Track, IISE Annual Conference, 2023.
[J19] P. Papadopoulos*, F. Fallahi, M. Yildirim, Ahmed Aziz Ezzat, “Joint Optimization of Maintenance and Production in Offshore Wind Farms: Balancing the Short-and Long-Term Needs of Wind Energy Operation,” IEEE Transactions on Sustainable Energy, 15(2), 835-846, 2024. DOI: https://doi.org/10.1109/TSTE.2023.3308473
[J20] J. Ji*, J. Ramasamy*, L. Nazzaro, J. Kohut, Ahmed Aziz Ezzat, “Machine Learning for Modeling North Atlantic Right Whale Presence to Support Offshore Wind Energy Development in the US Mid-Atlantic, Nature Scientific Reports, 14, no. 1 (2024): 29147, DOI: https://doi.org/10.1038/s41598-024-80084-z
• Featured by MarketWatch, Forbes, The Asbury Park Press, WorkBoat, and other local news outlets.
[J21] F. Ye*, T. Miles, Ahmed Aziz Ezzat, “Improved Spatio-Temporal Offshore Wind Forecasting with Coastal Upwelling Information,” Applied Energy, 380, p.125010, 2025. DOI: https://doi.org/10.1016/j.apenergy.2024.125010
[J22] Ahmed Aziz Ezzat, M. Mansouri, M. Yildirim, X. Fang, “IISE PG&E Energy Analytics Challenge 2024: Forecasting Day-Ahead Electricity Prices,” IISE Transactions (flagship journal of IISE), 1-13 (Published Online), 2025. DOI: https://doi.org/10.1080/24725854.2024.2447049
[J23] A. Elsahhar, A. ElSabbagh, Ahmed Aziz Ezzat, A. ElBanhawy “Analysis of Failure and Maintenance Records in Aging Wind Farms to Inform End-of-Life Asset Management,” no. 6 (2025): e70024, Wind Energy, 2025. DOI: https://doi.org/10.1002/we.70024
[J24] F. Ye*, X. Zhang, M. Stein, Ahmed Aziz Ezzat, “DeepMIDE: A Multi-Output Spatio-Temporal Method for Ultra-Scale Offshore Wind Energy Forecasting,” Accepted (In-press), Technometrics, ArXiv Pre-print: https://arxiv.org/abs/2410.20166, 2025.
• Best Poster Award, IISE QCRE Track, IISE Annual Conference, Montreal, Canada, 2024.
Peer-Reviewed Conference Publications:
[C1] Ahmed Aziz Ezzat, H.A. Farouk, K. S. El-Kilany, and A. F. Abdel Moneim,“Optimization Using Simulation of Traffic Light Signal Timings,” 2014 International Conference on Industrial Engineering and Operations Management, pp. 3007-3017, IEOM, 2014.
• Third Place, Best Student Paper Competition, International Conference on Industrial Engineering and Operations Management (IEOM), Bali, Indonesia, 2014.
[C2] Ahmed Aziz Ezzat, H.A. Farouk, K. S. El-Kilany, and A.F. Abdelmoneim, “Development of a Stochastic Genetic Algorithm for Traffic Signal Timings Optimization.” In Proceedings of the 2014 Industrial and Systems Engineering Research Conference, IISE, pp. 1740-1749, 2014.
[C3] A. Kotb, M. Ali, Ahmed Aziz Ezzat, A. Elwany, and H. Nasr-El-Din, “A Computational Fluid Dynamics Model for Simulating the Rotating Disk Apparatus,” SPE International Heavy Oil Conference and Exhibition, 2018. DOI: https://doi.org/10.2118/193739-MS.
[C4] A. Miquela*, D. Bagul*, Ahmed Aziz Ezzat, “Defect Detection in Solar Photovoltaic Systems Using Unmanned Aerial Vehicles and Machine Learning.” In 8th North America Conference on Industrial Engineering & Operations Management, pp. 1394-1403, IEOM, 2023. DOI: https://doi.org/10.46254/NA8.20230375.
• Best Undergraduate Student Paper Award, 8th North America Conference on Industrial Engineering & Operations Management (IEOM), Houston, TX, 2023.
[C5] F. Ye*, J. Brodie, T. Miles, Ahmed Aziz Ezzat, “Ultra-Short-Term Probabilistic Wind Forecasting: Can Numerical Weather Predictions Help?” In 2023 IEEE Power & Energy Society General Meeting (PESGM), pp. 1-5, IEEE, 2023. DOI: https://doi.org/10.1109/PESGM52003.2023.10252311.
[C6] N. Percarpio* and Ahmed Aziz Ezzat, “Detection of Soiling Events in Solar Photovoltaic Systems Using In-situ Optical Sensing and Machine Learning.” In 9th North America Conference on Industrial Engineering & Operations Management, IEOM, pp. 1002-1010, 2024. DOI: https://doi.org/10.46254/NA09.20240257.
• Best Undergraduate Student Paper Award, 9th North America Conference on Industrial Engineering & Operations Management (IEOM), Washington DC, 2024.
[C7] F. Ye* and Ahmed Aziz Ezzat, “An Integro-Difference Equation Model for Spatio-Temporal Offshore Wind Forecasting.” In 2024 IEEE Power & Energy Society General Meeting (PESGM), pp. 1-5, IEEE, 2024. DOI: https://doi.org/10.1109/PESGM51994.2024.10688765.
[C8] Y. Fang*, Ahmed Aziz Ezzat, G. Cowart, H. Hall Jr. and M. Scotland, “A Data-Driven Framework for On-Board Vehicular Diagnostics: An Academia-Industry Case Study.” In 2025 IEEE Conference on Technologies for Sustainability (SusTech), pp. 1-8, IEEE, 2025. DOI: https: //doi.org/10.1109/SusTech63138.2025.11025720.
Textbook Chapters:
[TC1] F. Ye*, T. Miles, Ahmed Aziz Ezzat, “Offshore Wind Energy Prediction Using Machine Learning with Multi-Resolution Inputs.” In Multimodal and Tensor Data Analytics for Industrial Systems Improvement, pp. 167-183. Cham: Springer International Publishing, 2024 (Invited). Editors: Nathan Gaw (Air Force Institute of Technology), Mostafa Reisi (University of Florida), Panos Pardalos (University of Florida).
Patents:
[PA1] “Techniques To Provide Improved Wind Input for Operating Offshore Wind Turbines,” U.S. Application 19/111. Inventors: Ahmed Aziz Ezzat, F. Ye*, T. Miles, J. Brodie.
[PA1] “Machine-Learning-Based Hypothesis Testing for Accurate Identification of DNA,” U.S. Provisional Patent Application 63/785,397. Inventors: J. Chheda, Y. Fang*, Ahmed Aziz Ezzat, L. Fabris.