Abdallah Chehade

Dr. Abdallah Chehade is an Associate Professor in the Department of Industrial and Manufacturing Systems Engineering at the University of Michigan-Dearborn, where he leads the Informatics, Reliability, and Data Analytics (IRDA) lab. He holds a Ph.D. in Industrial Engineering from the University of Wisconsin-Madison (2017), with minors in Computer Sciences and Statistics, alongside an M.S. in Mechanical Engineering and a B.E. in Mechanical Engineering from the American University of Beirut.

Research Interests span safe and robust deep learning solutions, explainable AI, data fusion for degradation modeling, and Bayesian statistical modeling. His work integrates AI/ML with prognostics and Internet of Things (IoT) to address challenges in reliability analytics and industrial data science.

Publications highlight advancements in deep autoencoders, LSTM networks, and hybrid models for warranty forecasting, with applications in battery cells, sheet metal stamping, and rail transportation. His grants from Ford, Honda, and the U.S. Army focus on smart manufacturing, AI for sensor modeling, and digital twins.

Lab Members include Ph.D. students working on topics like physics-based AI, computer vision, and deep learning for prognosis. He serves on the INFORMS Quality, Statistics, and Reliability (QSR) Council and maintains affiliations with IEEE, INFORMS, and IISE.