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Fouzi Harrou
Fouzi Harrou
received the M.Sc. degree in telecommunications and networking from the University of Paris VI, France, and the Ph.D. degree in systems optimization and security from the University of Technology of Troyes (UTT), France. He was an Assistant Professor with UTT for one year and with the Institute of Automotive and Transport Engineering, Nevers, France, for one year. He was also a Postdoctoral Research Associate with the Systems Modeling and Dependability Laboratory, UTT, for one year. He was a Research Scientist with the Chemical Engineering Department, Texas A&M University at Qatar, Doha, Qatar, for three years. He is actually a Senior Research Scientist with the Division of Computer, Electrical and Mathematical Sciences and Engineering, King Abdullah University of Science and Technology. His current research interests include statistical decision theory and its applications, fault detection and diagnosis, and deep learning. He is co-author of two books: “Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches: Theory and Practical Applications” (Elsevier, 2020), and Advanced Road Traffic Modelling and Management Using Statistical and Deep Learning Methods, (Elsevier, 2021). He received two IEEE ECBIOS 2021 best paper awards and the Best Session Paper Award at the IEEE IPAS 2025 conference. Dr. Harrou is featured in Stanford University’s list of the world’s Top 2% scientists for 2020-2024.
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