About me
Mohamed Massaoudi received the M.Eng. degree in Energy Engineering from the National Engineering School of Monastir (ENIM), University of Monastir, Tunisia, in 2018, after completing preparatory studies in Mathematics and Physics at the Preparatory Institute for Engineering Studies of Nabeul (IPEIN), University of Tunis El Manar, Tunisia, in 2015. He earned the Ph.D. degree in Electronics Engineering from the National Institute of Applied Sciences and Technology (INSAT), University of Carthage, in 2021, and the second Ph.D. degree in Electrical and Computer Engineering from Texas A&M University (TAMU), College Station, TX, USA, in 2024.
He has eight years of hands-on experience in applying deep learning and machine learning strategies to tackle real-world problems. During his work at Texas A&M University at Qatar, he is the lead author of more than 60 peer-reviewed journal and conference publications and three book chapters. His research interests include AI applications for cybersecurity in smart grids, and innovative prediction models. Dr. Massaoudi was the recipient of the Outstanding Student Research Excellence Award in 2021, the Thomas W. Powell’62 and Powell Industries Inc., Fellowship award in 2024, the best Paper Presentation Recognition in the IECON24, and the Richard E. Ewing Award for Excellence in 2024 for his research contributions. His h-index is 15 and his work has been cited more than 1000 times.
