

Artificial Intelligence researcher and educator with a Ph.D. in Computing and Information Sciences (GPA 4.00/4.00) and 18 years of experience spanning teaching, educational technology, digital transformation, professional training, and applied research. Research expertise includes deep learning, representation learning, deep embedded clustering, time-series analytics, smart-grid load profiling, and AI-enabled educational systems. Developer of LSTM-DynAE and ConvLSTM-DynAE research frameworks, with experience in scholarly publishing, peer review, conference leadership, curriculum support, and technology-enhanced learning. Academic interests align with university teaching and research in Artificial Intelligence, Data Science, Computer Science, and Educational Technology.
Dr. Riadh Ksantini
Associate Professor, Department of Computer Science, University of Bahrain, Kingdom of Bahrain
Adjunct Professor and Graduate Faculty, School of Computer Science, University of Windsor, Canada
Adjunct Professor, Department of Computer Science, Université du Québec à Montréal (UQAM), Canada
Ph.D. Thesis Supervisor
Contact No.: +973-37299500