News
03/2024 Dr. Aziz Ezzat will give a talk at the Rutgers Engineering Alumni Symposium.
02/2024 New Paper Accepted! Our paper titled: “An Integro-Difference Equation Model for Spatio-Temporal Offshore Wind Energy Forecasting”, has been accepted at the 2024 IEEE PES General Meeting. Excited to present the paper in July!
03/2024 Dr. Aziz Ezzat gave a key note speech at the NJ Junior High School Science Symposium (JHSS). Thanks to Tamiah N. Brevard-Rodriguez and the ARESTY Research Center for the invite, and for organizing such an exciting event.
01/2024 Dr. Aziz Ezzat gave an invited seminar at the CCICADA Seminar Series in Homeland Security. Thanks to Dr. Fred Roberts for the invite!
01/2024 New Paper Accepted! Our paper titled: “AIRU-WRF: A Physics-Guided Spatio-Temporal Wind Forecasting Model and its Application to the US Mid Atlantic Offshore Wind Energy Areas”, has been accepted at Renewable Energy!
01/2024 Dr. Aziz Ezzat gave an invited seminar at the University of Miami. Thanks to Prof. Ramin Moghaddas for the invite.
12/2023 Dr. Aziz Ezzat gave an invited talk at the 50th Egyptian American Scholar’s Conference at the American University in Cairo.
11/2023 Dr. Aziz Ezzat gave an invited seminar at the SIP seminar series at the Electrical & Computer Engineering Department at Rutgers University. The talk was titled: “Predictive & Prescriptive Analytics for Offshore Wind Energy: Uncertainty, Quality, and Reliability” Thanks to Prof. Waheed Bajwa for the invite!
10/2023 Dr. Aziz Ezzat gave an invited seminar at the School of Data Science at the City University of Hong Kong (CityUHK). The talk was titled: “Predictive & Prescriptive Analytics for Offshore Wind Energy: Uncertainty, Quality, and Reliability” Thanks to Profs. Li Zeng and Jizhou Li for the invite!
10/2023 Dr. Aziz Ezzat is off to attend the 2023 INFORMS Annual Meeting in Phoenix, Arizona!
09/2022 Dr. Aziz Ezzat presented a session at the Undergraduate Research Discovery Day about how “Math, AI, and Systems Engineering Can Enable Renewable Energy,” to introduce undergraduate students to our research group. The event is organized by the ARESTY Research Center for Undergraduates.
09/2022 Semester Kick off! We are excited to start this semester in an in-person format. This semester, Dr. Aziz Ezzat is teaching the ISE 540:338 (Probabilistic Models in OR). The class hosts 43 students and revolves around topics in probabilistic modeling/decision-making using decision-theoretic models, queuing theory, and Markov chains. Dr. Aziz Ezzat also co-organizes the ISE seminar series (with Dr. Elin Wicks).
09/2023 New Federal Funding Received! We are excited to lead the project “AIRU-WRF: AI-Powered Physics-Based Tool for OSW Forecasting and Grid Integration,” funded by the National Offshore Wind Research & Development Consortium (NOWRDC). The project, in collaboration with Clarkson University and EPRI, will develop a tool to forecast the wind at offshore development areas and predict wind plant power output using a physics-based model and AI capabilities. The project industry advisory board includes key stakeholders in the offshore wind space. The funds will primarily support PhD students at the interface of data and wind energy sciences.
08/2023 Graduate Student Orientation! Drs. Aziz Ezzat and Elin Wicks co-organized the Rutgers ISE Graduate Student Orientation. Welcome to all new and prospective students to Rutgers ISE!
08/2023 New Paper Accepted! Our paper titled: “Joint Optimization of Production and Maintenance in Offshore Wind Farms: Balancing the Short-and Long-Term Needs of Wind Energy Operation“, has been accepted at IEEE Transactions on Sustainable Energy! In this paper, we propose POSYDON—production-optimized stochastic opportunistic maintenance scheduler with yaw decision control—a decision-theoretic model, rooted in stochastic programming, that jointly models the production and maintenance decisions in offshore wind farms. Tested on real-world data from the U.S. Mid Atlantic where several offshore wind farms are in-development, POSYDON demonstrates considerable improvements relative to prevalent maintenance benchmarks, across various O&M metrics, including total cost, downtime, resource utilization, and maintenance interruptions. Paper: https://arxiv.org/pdf/2303.06174.pdf.
07/2023 Dr. Aziz Ezzat is invited to present at the PIMS Workshop on Forecasting and Mathematical Modeling for Renewable Energy at the University of British Columbia, Canada. Thanks to Drs. Deniz Sezer and Brian Marcus for the invite!
07/2023 Dr. Aziz Ezzat is off to attend the 2023 IEEE PES General Meeting in Orlando, FL, where he will present our research paper titled “Ultra-Short-Term Probabilistic Wind Forecasting: Can Numerical Weather Predictions Help?” The paper is co-authored with Feng Ye (PhD student at RIA), and Dr. Travis Miles (Rutgers Marine & Coastal Sciences).
06/2023 New Award Received! Althea Miquela (UG researcher at RIA) has won, with co-author Dhiraj Bagul (MS researcher at RIA), the first place in the best student paper competition at the 8th North American IEOM Conference, for her work titled: “Defect Detection in Solar Photovoltaic Systems Using Unmanned Aerial Vehicles and Machine Learning.” Althea has been supported through the NSF REU Program. Congrats, Althea!
Paper available at: https://ieomsociety.org/proceedings/2023houston/375.pdf
06/2023 Dr. Aziz Ezzat is off to attend the 2023 International Symposium on Forecasting (ISF) in Charlottesville, where he will present our research on offshore wind energy forecasting in the U.S. Mid Atlantic.
06/2023 Dr. Aziz Ezzat is elected as the president of the Energy Systems Division at the Institute of Industrial & Systems Engineers!
05/2023 New Funding Awarded! Dr. Aziz Ezzat is awarded a research grant from the Rutgers Chancellor-Provost Office as part of the AI/ML Initiative to investigate new AI-based methods and tools for wind/whale co-existence. The project is in collaboration with Drs. Josh Kohut and Travis Miles from Rutgers. The funds will primarily support graduate students at the interface of data and wind energy sciences.
05/2023 Award Received! Feng Ye (PhD student at RIA) and Dr. Aziz Ezzat, in collaboration with Drs. Travis Miles (Rutgers Marine & Coastal Sciences) and Joseph Brodie (AKRF Inc.), win the first place in the Energy Systems Track at the 2023 IISE Annual Conference for their paper on offshore wind energy forecasting in the U.S. Mid Atlantic. Congrats to Feng and the team!
05/2023 Dr. Aziz Ezzat is off to attend the 2023 IISE Annual Conference in New Orleans.
04/2023 Dr. Aziz Ezzat attended the NJ EDA Wind Institute Research Symposium. RIA Lab members, Feng Ye (PhD) and Andrei Dimitriu (UG) presented their research findings on offshore wind energy analytics.
03/2023 Dr. Aziz Ezzat gave an invited seminar at the Ohio State University (OSU). The talk was titled: “Predictive & Prescriptive Analytics for Offshore Wind Energy: Uncertainty, Quality, and Reliability Consideration” Thanks to Farhang Pourboghrat and the ISE department for the invite!
01/2023 Dr. Aziz Ezzat gave an invited webinar at the German Research Center for Artificial Intelligence (DFKI). The talk was titled: “Predictive & Prescriptive Analytics for Renewable Energy.” Thanks to Claudia Tholen and the team for the invitation!
01/2023 Semester Kick off! We are excited to start this semester in an in-person format. This semester, Dr. Aziz Ezzat is teaching two courses: ISE 540:485 (Industrial Informatics) and ISE 540:530 (Forecasting Analytics). Dr. Aziz Ezzat also co-organizes the ISE seminar series (with Dr. Elin Wicks).
12/2022 PhD Defended! Petros Papadopoulos, (former) PhD student in our lab, has successfully passed his PhD defense on “Data-Driven Optimization of Operations & Maintenance in Offshore Wind Farms.” Petros has now joined ThermoVault in Belgium as an R&D Scientist. Congrats, Dr. Papadopoulos!!
12/2022 Dr. Aziz Ezzat gave an invited talk at the National Offshore Wind Research & Development Consortium (NOWRDC), which was held in Boston, MA. The talk summarized our research team’s effort on wind forecasting using AI/ML in the Mid Atlantic.
12/2022 New Paper accepted! Our paper titled: “Yaw-adjusted Wind Power Curve Modeling: A Local Regression Approach“, in collaboration with Praanjal Nasery (EPRI) has been accepted in Renewable Energy! In this paper, we propose a local-regression-based method to construct a multivariate wind power curve that considers the impact of yaw misalignment on the power output of a wind turbine. Tested on operational data from two onshore wind turbines in France, our proposed approach achieves significant improvements, in terms of power estimation accuracy, relative to a set of prevalent statistical- and machine-learning-based power curve models. Paper: https://doi.org/10.1016/j.renene.2022.12.001.
11/2022 New Paper accepted! Our paper titled: “STOCHOS: Stochastic Opportunistic Maintenance Scheduling for Offshore Wind Farms”, in collaboration with Prof. David Coit (Rutgers ISE) has been accepted at IISE Transactions! In this paper, we propose STOCHOS—the stochastic holistic opportunistic scheduler—a maintenance scheduling approach tailored to address the unique challenges and uncertainties in offshore wind farms. Tested on real-world data from the U.S. Mid Atlantic where several offshore wind farms are in-development, STOCHOS demonstrates considerable improvements relative to prevalent maintenance benchmarks, across various O&M metrics, including total cost, downtime, resource utilization, and maintenance interruptions. Paper: https://doi.org/10.1080/24725854.2022.2152913; Data/Codes: https://github.com/petros-pap/STOCHOS.
11/2022 Dr. Aziz Ezzat gave a seminar at University of Arizona SIE Department, titled: “Predictive & Prescriptive Analytics for Offshore Wind Energy.” Thanks to Dr. Mohamed Shafae for hosting!
09/2022 Semester Kick off! We are excited to start this semester in an in-person format. This semester, Dr. Aziz Ezzat is teaching the ISE 540:338 (Probabilistic Models in OR). The class hosts ~40 students and revolves around topics in probabilistic modeling/decision-making using decision-theoretic models, queuing theory, and Markov chains. Dr. Aziz Ezzat also co-organizes the ISE seminar series (with Dr. Elin Wicks). This Fall, we have a total of 10 outstanding speakers from both academia and industry (Full list here), who will speak on various topics ranging from machine learning, system prognostics, advanced manufacturing, energy systems, and operations research.
07/2022 Dr. Aziz Ezzat gave a seminar at Accenture, titled: “Data Science for Renewable Energy: Uncertainty, Quality, and Reliability Considerations.” Thanks to Dr. Ali Ghofrani for hosting!
05/2022 New Award Received! Dr. Aziz Ezzat received the “IISE Data Analytics Teaching Award,” from the Division of Data Analytics & Information Systems (DAIS) at the Institute of Industrial & Systems Engineers. This award recognizes individual faculty for sustained performance of excellence in teaching courses related to data analytics in Industrial Engineering.
05/2022 Dr. Aziz Ezzat co-organized the IISE QCRE Student Interaction & Poster Session at the IISE Annual Conference & Expo. 14 Students from 9 Institutions participated and presented their research [Link to Session Brochure: QCRE_RisingStars_Brochure]. Special thanks to the invited guests/panelists: Drs. Hui Yang (Penn State), Dan Li (Clemson), Mohamed Shafae (U Arizona), Xioawei Yue (Virginia Tech), and Ahmed El Dessouky (Veeco).
05/2022 Dr. Aziz Ezzat and PhD students Petros Papadopoulos and Feng Ye attended the IISE Annual Conference & Expo in Seattle. Both Petros and Feng presented their latest research on wind energy analytics.
03/2022 Dr. Aziz Ezzat gave a seminar at the Department of Industrial & Systems Engineering at the University of Washington, titled: “Enabling U.S. Offshore Wind Energy via Physics-Guided, Spatio-Temporal Data Science.” Thanks to Dr. Shuai Huang for hosting!
03/2022 Dr. Aziz Ezzat gave a seminar at the Department of Industrial & Systems Engineering at Virginia Tech, titled: “Enabling U.S. Offshore Wind Energy via Physics-Guided, Spatio-Temporal Data Science.” Thanks to Vtech’s INFORMS Student Chapter for hosting!
02/2022 Dr. Aziz Ezzat gave a seminar at ExxonMobil Research & Engineering, titled: “Data Science for Renewable Energy: Uncertainty, Quality, and Reliability Considerations.” Thanks Dr. Michael Blumenfeld for hosting!
01/2022 Dr. Aziz Ezzat gave a seminar at the Department of Marine & Coastal Sciences (DMCS) at Rutgers University, titled: “”Enabling U.S. Offshore Wind Energy via Physics-Guided, Spatio-Temporal Data Science.” Thanks Dr. Joseph Brodie and the DMCS Department faculty/staff/students for hosting!
01/2022 Dr. Aziz Ezzat gave a seminar at the Production Engineering and Design Department at Ain Shams University, Egypt, titled: “Data Science for Renewable Energy: Uncertainty, Quality, and Reliability Considerations.” Thanks to Drs. Adel El-Sabbagh and Amin El-Kharbotly for hosting, as well as all faculty and students!
01/2022 Dr. Aziz Ezzat gave a seminar at the Mechanical Engineering Department at the Arab Academy for Science & Technology in Alexandria Egypt, titled: “Data Science for Renewable Energy.” Thanks to Drs. Aly Ismail and Essam Seddik, as well as the ME faculty and students!
01/2022 Dr. Aziz Ezzat gave a seminar at the Mechanical Power Engineering Department at Cairo University, titled: “Data Science for Renewable Energy: Uncertainty, Quality, and Reliability Considerations.” Thanks to Dr. Muhammed Hassan, as well as the ME faculty and students!
12/2021 Dr. Aziz Ezzat gave a seminar at the Industrial & Management Engineering Department at the Arab Academy for Science & Technology in Alexandria Egypt, titled: “Enabling Renewable Energy through an Industrial Engineering Lens.” Thanks to Prof. Khaled El-Kilany and the IME faculty and students!
12/2021 Petros Papadopoulos, PhD Student at our research group, has successfully passed his preliminary PhD examination. Petros presented his research titled: “Data-Centric Opportunistic Maintenance Optimization for Offshore Wind Farms Under Uncertainty.” Congrats, Petros!
12/2021 New Funding Awarded! We are excited to start a collaboration with 4.0 Analytics Inc., funded by the New Jersey Economic Development Authority to develop advanced analytics for real-time personalized emission testing.
11/2021 Dr. Aziz Ezzat gave a virtual talk at Clarkson University’s Electrical and Computer Engineering (ECE) Department, entitled: “Enabling U.S. Offshore Wind Energy via Physics-Guided, Spatio-Temporal Data Science.” Thanks to Dr. Leo Jiang and to the ECE Department for the invitation!
09/2021. Dr. Aziz Ezzat was a guest speaker at Prof. ZJ Pei‘s course on Proposal writing for Ph.D. students offered at the Department of Industrial & Systems Engineering at Texas A&M University.
09/2021 Semester Kick off! We are excited to start this semester in a hybrid format. This semester, Dr. Aziz Ezzat is teaching the ISE 540:338 (Probabilistic Models in OR). The class hosts 60+ students and revolves around topics in probabilistic modeling/decision-making including decision-theoretic models, queuing theory, and Markov chains.
08/2021 Paper accepted! Our paper titled: “Seizing Opportunity: Maintenance Optimization in Offshore Wind Farms Considering Accessibility, Production, and Crew Dispatch,” is accepted in IEEE Transactions on Sustainable Energy, in collaboration with Prof. David Coit (Rutgers ISE). In this paper, we propose an offshore-tailored maintenance scheduling approach to optimally schedule maintenance actions for offshore wind farms. Unlike their onshore counterparts, offshore wind turbines operate at relatively unexplored territories, higher altitudes, less accessible locations, and under harsher weather and marine conditions. By properly taking into account maintenance opportunities that arise due to weather, accessibility, and crew/vessel dispatch, we find that the resulting maintenance schedule is drastically different (and substantially better), than those obtained using offshore-agnostic strategies. For the experimental analysis in the paper, we used NYSERDA’s newly released buoy data, which has been deployed in proximity to at least future three offshore wind projects in the North Atlantic region. Paper: https://ieeexplore.ieee.org/abstract/document/9514481; Data/Codes: https://github.com/petros-pap/HOST
08/2021 New NSF Funding Awarded! We are thrilled to announce our newly awarded grant from the National Science Foundation in collaboration with Cognite AS, Argonne National Lab, Joseph Brodie (Marine Science Department), and M. Yildirim (Wayne State University). The project aims to formulate a decision-theoretic approach to jointly optimize generation and maintenance in wind farms, considering uncertainties arising from weather variability, generation, and degradation, among others. The funds will mainly support PhD students at the interface of data & wind energy sciences.
07/2021 New NSF Funding Awarded! We are excited about our newly awarded grant from the National Science Foundation (PI: Ryan Sills from Rutgers MSE, Total amount: ~577K, our share: ~280K). The project aims to establish a micro-mechanically-informed machine learning framework to predict ductile fracture in metals. The funds will mainly support PhD students at the interface of data & materials sciences.
06/2021 Dr. Aziz Ezzat co-chaired and moderated a virtual panel discussion on “Industry-Funded Research & Projects: A Guide for Junior Faculty,” organized under the INFORMS JFIG (Junior Faculty Interest Group). The panel was co-chaired with Dr. Manish Bansal (Virginia Tech). Many thanks to our panelists who have shared their tips and unique experiences: Profs. Pascal Van Hentenryck (Georgia Tech), Julie Swann (NCSU), Mohsen Jafari (Rutgers), and Karla Hoffman (George Mason Univ.). The panel recording is now available online!
05/2021 Dr. Aziz Ezzat is attending the 2021 Institute of Industrial Engineers (IISE) Annual Conference (virtual). Dr. Ezzat serves as a conference track co-chair for the Energy Systems (ES) Division, which features ~68 presentations on various topics at the interface of ISE and Energy.
05/2021 Dr. Aziz Ezzat is elected as a Board member at the Quality Control & Reliability Engineering (QCRE) Division of the Institute of Industrial & Systems Engineers (IISE).
04/2021 Soham Palande, ARESTY Undergraduate Research Assistant at our RIA group, has presented his final poster presentation, titled: “Solar Irradiance Nowcasting Using All-Sky Imager Data,” at the 17th ARESTY Annual Symposium (Link to virtual presentation: SohamPalande_FinalPresentation). Soham is already accepted to DIMACS REU program during the summer. Congrats, Soham!
04/2021 Dev Patel, JJ Slade Scholar Program Participant and Undergraduate Research Assistant at our RIA group, has presented his final poster presentation, titled: “Autonomous Inspection and Reliability of Renewable Energy Assets,” at the 2021 James J. Slade Scholars Program’s Virtual Symposium (Link to poster: JJ Slade Poster – Dev J Patel). Dev will graduate with a BSc. degree in Industrial & Systems Engineering in May 2021, and is set to join Deloitte Consulting as an Application and Program analyst. Congrats, Dev!
04/2021 Xiangyue Wang (Max), Undergraduate Research Assistant at our RIA group, has successfully passed his undergraduate honors thesis, titled: “Wind Turbine Wake Loss Modeling,” (Link to final presentation: Honors_Thesis_Presentation_1620376934). Max will graduate with a BS degree in Physics in May 2021, and is already admitted to pursue an MS Degree in Data Science at NYU. Congrats, Max!
03/2021 MSc. thesis defended! Bhavya Jain has successfully defended his MSc thesis, titled: “Accessibility Forecasting for Offshore Wind Farm Maintenance Operations.” Bhavya will graduate in May 2021, and is set to join BCG (Boston Consulting Group) GAMMA as a Simulation and Operations Research Analyst. Congrats, Bhavya!
03/2021 MSc. thesis defended! Praanjal Nasery has successfully defended her MSc thesis, titled: “Integrating Yaw Misalignment in Power Curve Modeling for Wind Turbines: A Data Science Approach.” Praanjal will graduate in May 2021 and will join The Electric Power Research Institute (EPRI) as a wind energy R&D scientist/engineer. Congrats, Praanjal!
03/2021. Paper accepted! Our paper titled: “A Graph-Theoretic Approach for Spatial Filtering and Its Impact on Mixed-type Spatial Pattern Recognition in Wafer Bin Maps,” is accepted in IEEE Transactions on Semiconductor Manufacturing, in collaboration with Profs. Sheng Liu (U Toronto), Dorit Hochbaum (UC Berkeley), and Yu Ding (Texas A&M). In this paper, we show that a methodical approach for spatial filtering, i.e. distinguishing systematic patterns from random noises, is instrumental to high-quality wafer defect detection in semiconductor manufacturing, especially for mixed-typed defects (i.e. wafers hosting more than one defect pattern). Tested on a real-world dataset, we demonstrate that coupling a graph-theoretic method (Adjacency-clustering) with a nonparametric clustering approach (iWMM) can yield substantial gains in terms of both internal and external clustering validation metrics [Link to paper: https://ieeexplore.ieee.org/document/9366812, Link to data].
12/2020. Award/Funding Received! Dr. Aziz Ezzat received the 2020 IIF-SAS Grant (methodology track) for his project titled: “Forecasting in Unknown Territory: Towards Physically Motivated Learning for Local Wind Fields.” This is an award program by the Institute of International Forecasters (IIF), in collaboration with SAS corporation, to support and promote research on principles of forecasting.
12/2020. Bhavya Jain and Praanjal Nasery, MSc. students in our RIA group, have successfully passed their proposal presentations. Congrats!
12/2020. Paper accepted! Our paper titled: “Machine Learning for Revealing Spatial Dependence among Nanoparticles: Understanding Catalyst Film Dewetting via Gibbs Point Process Models,” is accepted in Journal of Physical Chemistry C, in collaboration with Dr. Mostafa Bedewy (U of Pittsburgh). In this paper, we combine point process theory with Gaussian processes to probabilistically simulate the evolution of nanoparticles in solid-state dewetting. Link to paper: https://pubs.acs.org/doi/10.1021/acs.jpcc.0c07765.
11/2020. Dr. Aziz Ezzat co-chaired an invited session on “Statistical Machine Learning for Energy Analytics” at INFORMS 2020, featuring Dr. Thushara Gunda (Sandia), Dr. Erotokritos Skordilis (NREL), Dr. Hoon Hwangbo (UTK), and Youngchan Jang (U. of Michigan).
11/2020. Dr. Aziz Ezzat co-chaired and presented in an invited session on “Wind Energy: Data Science, Quality, and Reliability” at INFORMS 2020, alongside Prof. Peter Sandborn (University of Maryland), Dr. Austin Todd (NREL), and Abhinav Prakash (Texas A&M). Dr. Aziz Ezzat presented his work on Enabling U.S. Offshore Wind Energy Via Data Science: Recent Progress In Spatio-temporal Wind Forecasting, based on the findings from this paper: https://www.sciencedirect.com/science/article/abs/pii/S0306261920305468.
11/2020. Dr. Aziz Ezzat co-chaired the QSR Student Interaction and Poster Competition at INFORMS 2020, alongside Dr. Xiaochen Xian (U. of Florida). The session is intended to bring PhD students into the spotlight to showcase their research through a brief elevator speech and a poster presentation. The session also involves a mini-panel discussion on how to land academic positions, navigate academic life, research and teaching, etc, featuring Profs. Susan Albin (Rutgers), Jeffery Kharoufeh (Clemson), Jing Li (Georgia Tech), Arman Sabbaghi (Purdue), Murat Yildirim (Wayne State).
09/2020. Dr. Aziz Ezzat was a guest speaker at Prof. ZJ Pei‘s course on Proposal writing for Ph.D. students offered at the Department of Industrial & Systems Engineering at Texas A&M University.
06/2020. Teaching Award! Dr. Aziz Ezzat received the 2020-2021 Rutgers OAT Teaching Award.
05/2020. Dr. Aziz Ezzat is elected as a Board member of the Energy Systems Division at the Institute of Industrial & Systems Engineers (IISE).
05/2020. Funding received! Dr. Aziz Ezzat received funding from Rutgers University Research Council Grants Program for his project titled: “The Promise and Peril of Offshore Wind Energy: Powering Up with Machine Learning and Operations Research” for the 2020-2021 Funding Cycle. This is a University-level funding mechanism made available by The Rutgers Research Council.
05/2020. Petros Papadopoulos, Ph.D. student in our RIA group, is presenting his research findings in a poster session at the virtual 2020 MIP Workshop. The poster is titled “Opportunistic Maintenance Scheduling for Offshore Wind Farms.” The poster got selected as a finalist, and will be competing for a poster prize – Good luck, Petros!
05/2020. Petros Papadopoulos, Ph.D. student in our RIA group, presented his research findings in a poster session at the Rutgers Energy Institute virtual annual symposium. The poster is titled “Opportunistic Maintenance for Offshore Wind Farms,” and is a joint work between our group and Prof. David Coit.
04/2020. Funding received! Dr. Aziz Ezzat received funding from Rutgers Energy Institute (REI) in the amount of $10,000 to pursue research related to offshore wind resource and generation forecasting, in collaboration with Dr. Joe Brodie from Marine & Coastal Sciences at Rutgers!
04/2020. Dr. Aziz Ezzat gave a virtual talk on “Enabling Offshore Wind Energy via Data Science,” to Cognite. Thanks to the Cognite team for the invitation!
03/2020. Petros Papadopoulos, Ph.D. student in our RIA group, has been selected as a finalist for the poster competition of the 2020 MIP Workshop held May 18-21, 2020 at DIMACS, Rutgers University. Congrats, Petros!
02/2020. Dr. Aziz Ezzat is invited to present at the University of Washington’s Department of Industrial & Systems Engineering Departmental Seminar Series.
01/2020. Dr. Aziz Ezzat is invited to present in a special session on Green Energy at the 2020 INFORMS Optimization Society (IOS) Conference!
12/2019. Dr. Aziz Ezzat participated in the Fall 2019 STEM Research Ideation Forum at Rutgers University under the Idea titled: “Mind the Gap: Domain-agnostic Machine Learning and Knowledge-rich Sciences and Engineering,” led by Profs. Narayan Mandayam (ECE) and Waheed Bajwa (ECE).
12/2019. Dr. Aziz Ezzat was a guest speaker at Prof. ZJ Pei‘s course on Proposal writing for Ph.D. students offered at the Department of Industrial & Systems Engineering at Texas A&M University.
12/2019. Dr. Jean-Paul Watson from Sandia National Labs visited us and gave a seminar titled “On The Rigorous Evaluation of Stochastic Approaches to Power System Operations.”
11/2019. Dr. Aziz Ezzat participated in the Fall 2019 Table Talk with Deans and Faculty series to talk with Honors students about the research, education and activities at the Department of Industrial & Systems Engineering at Rutgers!
10/2019. Dr. Aziz Ezzat co-chaired and presented in a technical session on “Statistical Learning for Energy Analytics” at INFORMS 2019, alongside Prof. Andrew Kusiak (University of Iowa), Youngchan Jang (University of Michigan), and Dr. Nader Samaan (PNNL). Prof. Aziz Ezzat presented his work on spatio-temporal short-term wind speed and power forecasting, based on the findings from this paper: https://projecteuclid.org/euclid.aoas/1571277761.
10/2019. Dr. Aziz Ezzat served as a panelist at a session on “Academic Job Application and Interview Process” at INFORMS 2019, organized by Profs. Mohamed Shafae (U. of Arizona), alongside Eileen Van Aken (Virginia Tech) Michelle Alvarado (U of Florida) and Xiaolei Fang (NC state). The panel discussed the academic job search from how to position yourself for the academic job market to how you can excel in on-site visits. Thanks Dr. Shafae for the invitation!
10/2019. Dr. Aziz Ezzat co-organized and co-moderated a session on “Navigating Promotion & Tenure: A Guide for Assistant Professors” at INFORMS 2019 with Dr. Mohamed Shafae (U. of Arizona), featuring Profs. Laura Albert (U. of Wisconsin-Madison), Young-Jun Son (U. of Arizona), Alaa Elwany (Texas A&M), and Jennifer Pazour (RPI). This panel discusses how to successfully navigate the promotion and tenure process in general, with emphasis on Industrial Engineering Departments. Thanks for the panelists for sharing their very valuable words of wisdom!
10/2019. Dr. Aziz Ezzat served as a panelist and judge at the QSR Student Interaction and Poster Competition at INFORMS 2019 co-organized by Profs. Ying Lin (University of Houston) and Dongping Du (Texas Tech). Thanks Drs. Lin and Du for the effort/time to organize this session!
10/2019. Dr. Aziz Ezzat co-chaired a technical session on “Data Analytics for Renewable Operations” at INFORMS 2019, featuring Abhinav Prakash (Texas A&M), Dr. Hoon Hwangbo (UTK), Perr-Sauer Jordan (NREL), and Qiyun Pan (University of Michigan).
10/2019. Dr. Aziz Ezzat is off to attend INFORMS 2019 at Seattle!
10/2019. Paper published! Our paper titled “Spatio-temporal Short-term Wind Forecast: A Calibrated Regime-switching Method” is finally published at The Annals of Applied Statistics! This work is in collaboration with Profs. Yu Ding (Texas A&M) and Mikyoung Jun (Texas A&M). Take a look: https://projecteuclid.org/euclid.aoas/1571277761
10/2019. The Department of Industrial & Systems Engineering at Rutgers University is seeking applicants for tenure-track faculty positions, at all levels. More at: https://ise.rutgers.edu/
10/2019. Dr. Aziz Ezzat gave a talk at the ISE Department at Rutgers, mainly to the Ph.D. cohort, titled: “A Guide To The Academic Job Application and Interview Process,” to discuss the challenges, lessons and tips while preparing and interviewing for academic jobs!
10/2019. Dr. Aziz Ezzat gave a seminar at the Department of Industrial & Systems Engineering at Rutgers University, titled: “From Kilometers to Nanometers: Spatio-Temporal Data Science for Wind Energy and Materials Engineering,” where he presented an overview of his research in renewable energy forecasting and nanomaterials using spatio-temporal data science.
10/2019. Dr. Aziz Ezzat founded the Renewables’ and Industrial Analytics (RIA) research group!
09/2019. Dr. Aziz Ezzat joined the Department of Industrial & Systems Engineering at Rutgers University!