{"id":458,"date":"2019-11-18T20:44:21","date_gmt":"2019-11-18T20:44:21","guid":{"rendered":"http:\/\/sites.rutgers.edu\/azizezzat\/?page_id=458"},"modified":"2026-01-07T20:34:48","modified_gmt":"2026-01-07T20:34:48","slug":"publications","status":"publish","type":"page","link":"https:\/\/sites.rutgers.edu\/azizezzat\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"

* indicates a (current or former) student directly advised by Dr. Aziz Ezzat.<\/p>\n

Peer-Reviewed Journal Publications:\u00a0<\/strong><\/h4>\n

[J1]<\/strong> Ahmed Aziz Ezzat<\/strong>, M. Jun and Y. Ding, \u201cSpatio-temporal Asymmetry of Local Wind Fields and Its Impact on Short-term Wind Forecasting,\u201d IEEE Transactions on Sustainable Energy<\/em>, Vol. 9(3), pp. 1437-1447, 2018. DOI: https:\/\/doi.org\/10.1109\/TSTE.2018.2789685<\/a>
\n\u2022 Best Student Poster Award, QSR Section, INFORMS Annual Meeting, 2017.
\n\u2022 Bronze Prize, Best Student Poster Competition, South Eastern Texas Chapter of the American
\nStatistical Association (SETCASA), Texas A&M University, 2017.
\n\u2022 Best Presentation Award (Conference-wide), Texas A&M Conference on Energy, 2016.<\/p>\n

[J2] Ahmed Aziz Ezzat<\/strong>, A. Pourhabib, Y. Ding, \u201cSequential Design for Functional Calibration of Computer Models,\u201d Technometrics<\/em>, 60(3). pp. 286-296, 2018. DOI: https:\/\/doi.org\/10.1080\/00401706.2017.1377638<\/a>.
\n\u2022 Invited by Technometrics editorial board to a special session at the ASA Joint Statistical
\nMeetings (JSM) in Vancouver, Canada, 2018 (one of only two papers invited).<\/p>\n

[J3] Ahmed Aziz Ezzat<\/strong>, M. Jun and Y. Ding, \u201cSpatio-temporal Short-term Wind Forecast: A Calibrated Regime-switching Method,\u201d The Annals of Applied Statistics<\/em>, Vol. 13(3), pp. 1484-1510, 2019. DOI: https:\/\/doi.org\/10.1214\/19-aoas1243<\/a>.<\/p>\n

[J4]<\/strong> M. Mahmoudi, Ahmed Aziz Ezzat<\/strong>, A. Elwany, \u201cLayer-wise Anomaly Detection in Laser Powder Bed Fusion Metal Additive Manufacturing,\u201d Journal of Manufacturing Science & Engineering<\/em>, 141(3), 031002-1-12, 2019. DOI: https:\/\/doi.org\/10.1115\/1.4042108<\/a>.<\/p>\n

[J5]<\/strong> M. Ali, Ahmed Aziz Ezzat<\/strong>, H. Nasr, \u201cA Model To Simulate Matrix Acid Stimulation for Wells in Dolomite Reservoirs With Vugs and Natural Fractures,\u201d SPE Journal<\/em>, Vol. 25(2), pp. 609-631, 2020. DOI: https:\/\/doi.org\/10.2118\/199341-PA<\/a>.<\/p>\n

[J6] Ahmed Aziz Ezzat,<\/strong> \u201cTurbine-specific Short-term Wind Speed Forecasting Considering Within-farm Wind Field Dependencies and Fluctuations,\u201d Applied Energy<\/em>, Vol. 269, pp. 1150342020, 2020. DOI: https:\/\/doi.org\/10.1016\/j.apenergy.2020.115034<\/a>.<\/p>\n

[J7] Ahmed Aziz Ezzat<\/strong>, J. Tang, Y. Ding, \u201cA Model-based Calibration Framework for Structural Fault Diagnosis Using Piezoelectric Impedance Measurements and a Finite Element Model,\u201d Structural Health Monitoring<\/em>, Vol. 19(6), pp. 1839-1855, 2020. DOI: https:\/\/doi.org\/10.1177\/1475921719901168<\/a>.<\/p>\n

[J8] Ahmed Aziz Ezzat<\/strong>, M. Bedewy, \u201cMachine Learning for Revealing Spatial Dependence among Nanoparticles: Understanding Catalyst Film Dewetting via Gibbs Point Process Models\u201d, Journal of Physical Chemistry C<\/em>, Vol. 124(50), pp. 27479-27494, 2020. DOI: https:\/\/doi.org\/10.1021\/acs.jpcc.0c07765<\/a>.<\/p>\n

[J9]<\/strong> A. Kotb, Ahmed Aziz Ezzat<\/strong>, M. Ali, A. Elwany, H. Nasr Eldin, \u201cA Calibrated Computational Fluid Dynamics Model for Simulating the Rotating Disk Apparatus,\u201d SPE Journal, 26(6), 2021. DOI: https:\/\/doi.org\/10.2118\/193739-PA<\/a>.<\/p>\n

[J10] Ahmed Aziz Ezzat<\/strong>, S. Liu, D. Hochbaum, Y. Ding, \u201cA Graph-Theoretic Approach for Spatial Filtering and Its Impact on Mixed-type Spatial Pattern Recognition in Wafer Bin Maps,\u201d IEEE Transactions on Semiconductor Manufacturing<\/em>, Vol. 34(2), pp. 194-206, 2021. DOI: https:\/\/doi.org\/10.1109\/TSM.2021.3062943<\/a>.<\/p>\n

[J11]<\/strong> B. Golparvar, P. Papadopoulos*, Ahmed Aziz Ezzat<\/strong>, RQ Wang, \u201cA Surrogate-Model-Based Approach for Estimating the First and Second-Order Moments of Offshore Wind Power,\u201d Applied Energy<\/em>, 2021. DOI: https:\/\/doi.org\/10.1016\/j.apenergy.2021.117286<\/a>.
\n\u2022 Invited by MIT A+B 2020 conference scientific committee for submission to Applied Energy.<\/p>\n

[J12]<\/strong> P. Nasery*, Ahmed Aziz Ezzat<\/strong>, \u201cYaw-Adjusted Wind Power Curve Modeling: A Local Regression Approach,\u201d Renewable Energy<\/em>, 202, pp. 1368 – 1376, 2023. DOI: https:\/\/doi.org\/10.1016\/j.renene.2022.12.001<\/a>.<\/p>\n

[J13]<\/strong> P. Papadopoulos*, D. Coit, Ahmed Aziz Ezzat, \u201cSeizing Opportunity: Maintenance Optimization in Offshore Wind Farms Considering Accessibility, Production, and Crew Dispatch,\u201d IEEE Transactions on Sustainable Energy<\/em>, 13(1), 2022. DOI: https:\/\/doi.org\/10.1109\/TSTE.2021.3104982<\/a>
\n\u2022 Finalist, Best Student Poster Competition, Mixed Integer Programming (MIP) Workshop, 2020.<\/p>\n

[J14]<\/strong> J. Chheda, Y. Fang*, C. Deriu, Ahmed Aziz Ezzat<\/strong>, Laura Fabris \u201cDiscrimination of Genetic Biomarkers of Disease through Machine Learning-Based Hypothesis Testing of Direct SERS Spectra of DNA and RNA,\u201d ACS Sensors<\/em>, 9(5), 2488-2498, 2024. DOI: https:\/\/doi.org\/10.1021\/acssensors.4c00166<\/a>.<\/p>\n

[J15]<\/strong> Y. Fang*, Q. Zhao, Ahmed Aziz Ezzat<\/strong>, R. Sills \u201cConstructing Coarse-Grained Models with Physics-Guided Gaussian Process Regression,\u201d APL Machine Learning<\/em>, 2(2), 2024. DOI: https:\/\/doi.org\/10.1021\/acssensors.4c00166<\/a>
\n\u2022 Featured as the \u201cEditor\u2019s Pick\u201d for this issue at APL Machine Learning.<\/p>\n

[J16]<\/strong> F. Ye* and Ahmed Aziz Ezzat<\/strong>, \u201cIcing Detection and Prediction for Wind Turbines Using SCADA Data and Machine Learning,\u201d Renewable Energy<\/em>, 231, p.120879, 2024. DOI: https:\/\/doi.org\/10.1016\/j.renene.2024.120879<\/a>.<\/p>\n

[J17]<\/strong> P. Papadopoulos*, D. Coit, Ahmed Aziz Ezzat<\/strong>, \u201cSTOCHOS: Stochastic Opportunistic Maintenance Scheduling in Offshore Wind Farms,\u201d IISE Transactions<\/em> (flagship journal of IISE), 56(1), 2024. DOI: https:\/\/doi.org\/10.1080\/24725854.2022.2152913<\/a>.
\n\u2022 Featured in the ISE Magazine by the Institute of Industrial & Systems Engineers (IISE), 2023.<\/p>\n

[J18]<\/strong> F. Ye*, J. Brodie, T. Miles, Ahmed Aziz Ezzat<\/strong>, \u201cAIRU-WRF: A Physics-Guided Spatio-Temporal Wind Speed Forecasting Model and Its Application to the U.S. Mid Atlantic Offshore Wind Energy Areas,\u201d Renewable Energy<\/em>, 223, p.119934, 2024. DOI: https:\/\/doi.org\/10.1016\/j.renene.2023.119934<\/a>.
\n\u2022 Best Student Paper Award, Sustainability Cluster, INFORMS Annual Meeting, 2022.
\n\u2022 Best Track Paper Award, IISE Energy Systems Track, IISE Annual Conference, 2023.<\/p>\n

[J19]<\/strong> P. Papadopoulos*, F. Fallahi, M. Yildirim, Ahmed Aziz Ezzat<\/strong>, \u201cJoint Optimization of Maintenance and Production in Offshore Wind Farms: Balancing the Short-and Long-Term Needs of Wind Energy Operation,\u201d IEEE Transactions on Sustainable Energy<\/em>, 15(2), 835-846, 2024. DOI: https:\/\/doi.org\/10.1109\/TSTE.2023.3308473<\/a><\/p>\n

[J20]<\/strong> J. Ji*, J. Ramasamy*, L. Nazzaro, J. Kohut, Ahmed Aziz Ezzat<\/strong>, \u201cMachine Learning for Modeling North Atlantic Right Whale Presence to Support Offshore Wind Energy Development in the US Mid-Atlantic, Nature Scientific Reports<\/em>, 14, no. 1 (2024): 29147, DOI: https:\/\/doi.org\/10.1038\/s41598-024-80084-z<\/a>
\n\u2022 Featured by MarketWatch, Forbes, The Asbury Park Press, WorkBoat, and other local news outlets.<\/p>\n

[J21]<\/strong> F. Ye*, T. Miles, Ahmed Aziz Ezzat,<\/strong> \u201cImproved Spatio-Temporal Offshore Wind Forecasting with Coastal Upwelling Information,\u201d Applied Energy<\/em>, 380, p.125010, 2025. DOI: https:\/\/doi.org\/10.1016\/j.apenergy.2024.125010<\/a><\/p>\n

[J22]\u00a0Ahmed Aziz Ezzat<\/strong>, M. Mansouri, M. Yildirim, X. Fang, \u201cIISE PG&E Energy Analytics Challenge 2024: Forecasting Day-Ahead Electricity Prices,\u201d IISE Transactions<\/em> (flagship journal of IISE), 1-13 (Published Online), 2025. DOI: https:\/\/doi.org\/10.1080\/24725854.2024.2447049<\/a><\/p>\n

[J23]<\/strong> A. Elsahhar, A. ElSabbagh, Ahmed Aziz Ezzat<\/strong>, A. ElBanhawy \u201cAnalysis of Failure and Maintenance Records in Aging Wind Farms to Inform End-of-Life Asset Management,\u201d no. 6 (2025): e70024, Wind Energy<\/em>, 2025. DOI: https:\/\/doi.org\/10.1002\/we.70024<\/a><\/p>\n

[J24]<\/strong> F. Ye*, X. Zhang, M. Stein, Ahmed Aziz Ezzat<\/strong>, \u201cDeepMIDE: A Multi-Output Spatio-Temporal Method for Ultra-Scale Offshore Wind Energy Forecasting,\u201d Accepted (In-press), Technometrics<\/em>, DOI:\u00a0https:\/\/doi.org\/10.1080\/00401706.2025.2593879<\/a>
\n\u2022 Best Poster Award, IISE QCRE Track, IISE Annual Conference, Montreal, Canada, 2024.<\/p>\n

[J25]<\/strong> K. Ben Walid, F. Ye*, J. Ji*, Ahmed Aziz Ezzat<\/strong>, Travis Miles, Y. Jiang \u201cEconomic and Reliability Value of Improved Offshore Wind Forecasting in Bulk Power Grid Operation: A Case Study of The New York Power Grid,\u201d Under Review<\/em>, ArXiv Pre-print: https:\/\/arxiv.org\/pdf\/2512.21754<\/a><\/p>\n

 <\/p>\n

Peer-Reviewed Conference Publications:<\/strong><\/h4>\n

[C1] Ahmed Aziz Ezzat<\/strong>, H.A. Farouk, K. S. El-Kilany, and A. F. Abdel Moneim,\u201cOptimization Using Simulation of Traffic Light Signal Timings,\u201d 2014 International Conference on Industrial Engineering and Operations Management<\/em>, pp. 3007-3017, IEOM, 2014.
\n\u2022 Third Place, Best Student Paper Competition, International Conference on Industrial Engineering and Operations Management (IEOM), Bali, Indonesia, 2014.<\/p>\n

[C2] Ahmed Aziz Ezzat<\/strong>, H.A. Farouk, K. S. El-Kilany, and A.F. Abdelmoneim, \u201cDevelopment of a Stochastic Genetic Algorithm for Traffic Signal Timings Optimization.\u201d In Proceedings of the 2014 Industrial and Systems Engineering Research Conference<\/em>, IISE, pp. 1740-1749, 2014.<\/p>\n

[C3]<\/strong>\u00a0A. Kotb, M. Ali, Ahmed Aziz Ezzat<\/strong>, A. Elwany, and H. Nasr-El-Din, \u201cA Computational Fluid Dynamics Model for Simulating the Rotating Disk Apparatus,\u201d SPE International Heavy Oil Conference and Exhibition<\/em>, 2018. DOI: https:\/\/doi.org\/10.2118\/193739-MS<\/a>.<\/p>\n

[C4]<\/strong> A. Miquela*, D. Bagul*, Ahmed Aziz Ezzat<\/strong>, \u201cDefect Detection in Solar Photovoltaic Systems Using Unmanned Aerial Vehicles and Machine Learning.\u201d In 8th North America Conference on Industrial Engineering & Operations Management<\/em>, pp. 1394-1403, IEOM, 2023. DOI: https:\/\/doi.org\/10.46254\/NA8.20230375<\/a>.
\n\u2022 Best Undergraduate Student Paper Award, 8th North America Conference on Industrial Engineering & Operations Management (IEOM), Houston, TX, 2023.<\/p>\n

[C5]<\/strong> F. Ye*, J. Brodie, T. Miles, Ahmed Aziz Ezzat<\/strong>, \u201cUltra-Short-Term Probabilistic Wind Forecasting: Can Numerical Weather Predictions Help?\u201d In 2023 IEEE Power & Energy Society General Meeting (PESGM)<\/em>, pp. 1-5, IEEE, 2023. DOI: https:\/\/doi.org\/10.1109\/PESGM52003.2023.10252311<\/a>.<\/p>\n

[C6]<\/strong> N. Percarpio* and Ahmed Aziz Ezzat<\/strong>, \u201cDetection of Soiling Events in Solar Photovoltaic Systems Using In-situ Optical Sensing and Machine Learning.\u201d In 9th North America Conference on Industrial Engineering & Operations Management<\/em>, IEOM, pp. 1002-1010, 2024. DOI: https:\/\/doi.org\/10.46254\/NA09.20240257<\/a>.
\n\u2022 Best Undergraduate Student Paper Award, 9th North America Conference on Industrial Engineering & Operations Management (IEOM), Washington DC, 2024.<\/p>\n

[C7]<\/strong> F. Ye* and Ahmed Aziz Ezzat<\/strong>, \u201cAn Integro-Difference Equation Model for Spatio-Temporal Offshore Wind Forecasting.\u201d In 2024 IEEE Power & Energy Society General Meeting (PESGM)<\/em>, pp. 1-5, IEEE, 2024. DOI: https:\/\/doi.org\/10.1109\/PESGM51994.2024.10688765<\/a>.<\/p>\n

[C8]<\/strong> Y. Fang*, Ahmed Aziz Ezzat<\/strong>, G. Cowart, H. Hall Jr. and M. Scotland, \u201cA Data-Driven Framework for On-Board Vehicular Diagnostics: An Academia-Industry Case Study.\u201d In 2025 IEEE Conference on Technologies for Sustainability (SusTech)<\/em>, pp. 1-8, IEEE, 2025. DOI: https: \/\/doi.org\/10.1109\/SusTech63138.2025.11025720.<\/p>\n

 <\/p>\n

Textbook Chapters:<\/strong><\/h4>\n

[TC1]<\/strong> F. Ye*, T. Miles, Ahmed Aziz Ezzat<\/strong>, \u201cOffshore Wind Energy Prediction Using Machine Learning with Multi-Resolution Inputs.\u201d In Multimodal and Tensor Data Analytics for Industrial Systems Improvement<\/em>, 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).<\/p>\n

 <\/p>\n

Patents:<\/strong><\/h3>\n

[PA1]<\/strong> \u201cTechniques To Provide Improved Wind Input for Operating Offshore Wind Turbines<\/em>,\u201d U.S. Application 19\/111. Inventors: Ahmed Aziz Ezzat<\/strong>, F. Ye*, T. Miles, J. Brodie.<\/p>\n

[PA1]<\/strong> \u201cMachine-Learning-Based Hypothesis Testing for Accurate Identification of DNA<\/em>,\u201d U.S. Provisional Patent Application 63\/785,397. Inventors: J. Chheda, Y. Fang*, Ahmed Aziz Ezzat,<\/strong> L. Fabris.<\/p>\n

 <\/p>\n

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* indicates a (current or former) student directly advised by Dr. Aziz Ezzat. Peer-Reviewed Journal Publications:\u00a0 [J1] Ahmed Aziz Ezzat, M. Jun and Y. 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