Ahmed Aziz Ezzat is currently an Assistant Professor in the Department of Industrial and Systems Engineering at Rutgers University, where he oversees the Renewables and Industrial Analytics (RIA) research group (https://sites.rutgers.edu/azizezzat/). He received his Ph.D. in Industrial and Systems Engineering from Texas A&M University in 2019, and his B.Sc. and M.Sc. degrees in Industrial and Management Engineering from the Arab Academy for Science and Technology in Alexandria, Egypt, in 2013 and 2016, respectively. His research interests are in the areas of spatio-temporal learning and forecasting, quality and reliability engineering, data and decision sciences, and their applications to renewable energy systems and materials/industrial informatics. Dr. Aziz Ezzat’s work has been published in journals such as The Annals of Applied Statistics, Technometrics, IEEE Transactions on Sustainable Energy, among others. His awards include the 2019 ISEN Outstanding Graduate Student at Texas A&M, INFORMS Outstanding Member of the Year at Texas A&M in 2018, First Place at the QSR Student Poster and Interaction Competition at the 2017 INFORMS Annual Meeting, Best Oral Presentation at the 2016 Texas A&M Conference on Energy, and the IISE Sierleja Memorial Fellowship in 2014. He has been nominated as a finalist for the Texas A&M 3 Minute Thesis (3MT) Competition in 2019 for his presentation titled: Wind Energy, A New Solution to a 5000 Year Old Problem. He is a member of IEEE-PES, IISE, and INFORMS.