
Artificial Intelligence and Data Mining in Healthcare
3 contributors - Paperback
£129.99
Malek Masmoudi is an associate professor of Industrial Engineering at the University of Sharjah (UAE) and the University of Jean-Monnet (France). He received a Doctorate of Sciences (Habilitation) from Jean-Monnet University in 2017; a PhD from ISAE-SUPAERO, University of Toulouse (France), in 2011; and a Research Master’s degree from École Centrale de Lille (France) in 2008. He is Head of the Modeling and Optimization for Sustainable Operations and Supply chains (MOSOS) research group at the University of Sharjah. His main research interests lie in the applications of data science and optimization techniques across various engineering and management fields. He is the co-author of two Springer books and has published more than 120 papers, including 48 articles in international journals.
Oulaid Kamach received the Master degree in applied mathematics from Franche Compte University in 2001 (France) and the PhD in control engineering from the INSA of Lyon in 2004 (France). He is full professor of industrial engineering and logistics is the Department of Electrical and Industrial Engineering of the University of Abdelmalek ESSAADI (Tangier) since 2018. His research interests include flow management, simulation, optimization, monitoring, and planification and scheduling. He has published over 72 research articles in refereed journals and conferences, and has supervised over 15 Master’s and PhD candidates
Saber Darmoul is Associate Professor of Systems Engineering at the University of Twente. He worked in renowned engineering education institutions in the EMEA (Europe, Middle East, North Africa) region, such as the French SIGMA Clermont, King Saud University, Saudi Arabia, and Ecole Centrale Casablanca, Morocco. His research interests focus on exploring the use of distributed artificial intelligence (multi-agent, holonic, and bionic/bio-inspired systems) to monitor and control disturbances and risks in cyber-physical systems. Applications include intelligent manufacturing systems (IMS) and intelligent transportation systems (ITS).
Patrick Siarry received the PhD degree from the University Paris 6, in 1986, and the Doctorate of Sciences (Habilitation) from the University Paris 11, in 1994. He was first involved in the development of analog and digital models of nuclear power plants at Electricité de France (EDF). Since 1995 he is a professor in automatics and informatics. His main research interests are the applications of new stochastic global optimization heuristics to various engineering fields.