Ahmed Ragab received the bachelor's degree in electronic engineering and the master's degree in control engineering from the Faculty of Electronic Engineering, Menoufiya University, Shibin el Kom, Egypt, in 2003 and 2007, respectively, and the Ph.D. degree in industrial engineering from Polytechnique Montréal, Université de Montréal, Montreal, Canada, in 2014. His current research interests include artificial intelligence (AI), machine learning, pattern recognition, image processing, data fusion, causality analysis, reliability modeling, operations research, discrete event systems, process mining, and Petri nets. His main thematic activities focus on the practical challenges of Big Data and AI in a number of applications, including abnormal events diagnosis and prognosis, predictive maintenance, supervisory control, real-time optimization, planning and scheduling, and systems design. He has experience in developing advanced algorithms and tools in the manufacturing industry, aiming at reducing energy consumption, greenhouse gas emissions, and operational and maintenance costs while improving operation's performance.