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Publications

 

Below are select publications from the RIA Research Group. The publications are grouped by area into Energy Analytics (Area #1) and Materials/Industrial Informatics (Area #2).

Underlined authors denote RIA group members.

For a more complete list: Google Scholar Profile. Some of our Codes/Data are available at: https://github.com/RIA-Research-Group

 

[1] A. Ezzat, M. Jun, Y. Ding, “Spatio-temporal Asymmetry of Local Wind Fields and its Impact on Short-term Wind Forecasting,” IEEE Transactions on Sustainable Energy, 9(3), 1437-1447, 2018.

  • Paper: 10.1109/TSTE.2018.2789685.
  • Presentations/Posters of this paper won the INFORMS QSR student poster and interaction competition at the 2017 INFORMS annual meeting, the Bronze prize at the 2017 Texas Chapter of the American Statistical Association (ASA) poster competition, and the Best Oral Presentation at the 2016 Texas A&M Conference on Energy.

 

[2] 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.

 

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

 

[4] B. Golparvar, P. Papadopoulos, A. Ezzat, R. Wang, “A Surrogate-model-based Approach for Estimating the First and Second-order Moments of Offshore Wind Power,” Applied Energy, 299, 117286, 2021

 

[5] 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, 2021.

 

[6] P. Papadopoulos, D. Coit, A. Ezzat, “STOCHOS: Stochastic Opportunistic Maintenance in Offshore Wind Farms,” IISE Transactions, 2022.

 

[7] P. Nasery, A. Ezzat, “Yaw-adjusted wind power curve modeling: A local regression approach,” Renewable Energy, 202 (2023): 1368-1376, 2023.

 

[8] A. Miquela, D. Bagul, A. Ezzat, “Defect Detection in Solar Photovoltaic Systems Using Unmanned Aerial Vehicles and Machine Learning,” Proceedings of the 8th North American IEOM Conference, 2023.

  • Paper: https://ieomsociety.org/proceedings/2023houston/375.pdf
  • Presentation based on this paper has won the best undergraduate student paper competition at the 8th North American IEOM Conference, which was held in Houston, TX, 2023. The lead author, Althea Miquela, has been supported by an NSF REU Grant. 

 

[9] F. Ye, T. Miles, A. Ezzat, “Ultra-Short-Term Probabilistic Wind Forecasting: Can Numerical Weather Predictions Help?,” Proceedings of the IEEE PES General Meeting, 2023.

 

[10] P. Papadopoulos, F. Fallahi, M. Yildirim, A. Ezzat, “Joint Optimization of Production and Maintenance in Offshore Wind Farms: Balancing the Short-and Long-Term Needs of Wind Energy Operation,” IEEE Transactions on Sustainable Energy, Accepted, 2023.

 

[11] F. Ye, J. Brodie, T. Miles, A. 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, 2024.

 

[12] F. Ye, A. Ezzat, “An Integro-Difference Equation Model for Spatio-Temporal Offshore Wind Forecasting,” Proceedings of the IEEE PES General Meeting, 2024, Accepted.

 

[13] Ye, Feng, Travis Miles, and 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.

 

[14] A. Ezzat, A. Pourhabib, Y. Ding, “Sequential Design for Functional Calibration of Computer Models,” Technometrics, 60(3), 286-296, 2018

  • Paper: https://doi.org/10.1080/00401706.2017.1377638.
  • This paper was invited, as one of two papers, for presentation at a special session organized by Technometrics at the Joint Statistical Meetings (JSM), 2018, Vancouver, Canada.

 

[15] M. Mahmoudi, A. Ezzat, A. Elwany, “Layerwise Anomaly Detection in Laser Powder-Bed Fusion Metal Additive Manufacturing,” ASME Transactions – Journal of Manufacturing Science and Engineering, 141(3), 2019

 

[16]  A. Ezzat, J. Tang, Y. Ding, “A Model-Based Calibration Approach for Structural Fault Diagnosis using Piezoelectric Impedance Measurements and a Finite Element Model,” Structural Health Monitoring, 19 (6), 1839-1855, 2020

 

[17] M. Ali, A. Ezzat, H. Nasr-El-Din, “A Model To Simulate Matrix-acid Stimulation for Wells in Dolomite Reservoirs with Vugs and Natural Fractures,” SPE Journal, 25, no. 02, 609-631, 2020.

 

[18] A. Kotb, A. Ezzat, M. Ali, A. Elwany, H. Nasr Eldin, “A Calibrated Computational Fluid Dynamics Model for Simulating the Rotating Disk Apparatus,” SPE Journal, 26 (06): 4022–4036, 2021.

 

[19] A. Ezzat, M. Bedewy, “Machine Learning for Revealing Spatial Dependence among Nanoparticles: Understanding Catalyst Film Dewetting via Gibbs Point Process Models,” The Journal of Physical Chemistry C, 124 (50), 27479-27494, 2020

 

[20] A. Ezzat, S. Liu, D.S. 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, 34 (2), 194-206, 2021

[21] Chheda, Jinisha, Yating Fang, Chiara Deriu, Ahmed Aziz Ezzat, and Laura Fabris. “Discrimination of Genetic Biomarkers of Disease through Machine-Learning-Based Hypothesis Testing of Direct SERS Spectra of DNA and RNA.” ACS sensors (2024).