Prof. Andrea Monteriù received his M.Sc. degree in Electronic Engineering and Ph.D. in Artificial Intelligence Systems from Università Politecnica delle Marche, Italy, in 2003 and 2006, respectively. His M.Sc. thesis was developed at the Automation Department of the Technical University of Denmark, and part of his Ph.D. was developed at the Center for Robot Assisted Search & Rescue of the University of South Florida. Currently, he is an Associate Professor at the Department of Information Engineering, Università Politecnica delle Marche, where he leads the Laboratory of Artificially Intelligent Robotics. He has served as Vice-Chair for the IEEE Italy Section CE Soc Chapter and as Chair of the IEEE CTSoc Technical Committee on Consumer Systems for Healthcare and Wellbeing. His research interests mainly focus on the areas of fault diagnosis, fault tolerant control, nonlinear dynamics and control, and periodic and stochastic system control, applied in different fields, including aerospace, marine, robotic, and artificial intelligent systems; and assistive systems for healthcare and wellbeing.
Prof. Andrea Monteriù received his M.Sc. degree in Electronic Engineering and Ph.D. in Artificial Intelligence Systems from Università Politecnica delle Marche, Italy, in 2003 and 2006, respectively. His M.Sc. thesis was developed at the Automation Department of the Technical University of Denmark, and part of his Ph.D. was developed at the Center for Robot Assisted Search & Rescue of the University of South Florida. Currently, he is an Associate Professor at the Department of Information Engineering, Università Politecnica delle Marche, where he leads the Laboratory of Artificially Intelligent Robotics. He has served as Vice-Chair for the IEEE Italy Section CE Soc Chapter and as Chair of the IEEE CTSoc Technical Committee on Consumer Systems for Healthcare and Wellbeing. His research interests mainly focus on the areas of fault diagnosis, fault tolerant control, nonlinear dynamics and control, and periodic and stochastic system control, applied in different fields, including aerospace, marine, robotic, and artificial intelligent systems; and assistive systems for healthcare and wellbeing.