Lucio Marcenaro enjoys over 10 years experience in image and video sequence analysis, and authored over 30 technical papers related to signal and video processing for computer vision. An Electronic Engineering graduate from Genova University in 1999, he received his PhD in Computer Science and Electronic Engineering from University of Genova in 2003. From 2003 to 2010 he was CEO and development manager at TechnoAware srl. From March 2011, he became Assistant Professor in Telecommunications for the Faculty of Engineering at the Department of Electrical, Electronic, Telecommunications Engineering and Naval Architecture (DITEN) at the University of Genova where he teaches the courses of Pervasive Electronics and Telecommunication Systems. He is the principal scientific and technical coordinator of the Ambient Awareness Lab (A2Lab), with TechnoAware srl. His main current research interests are: video processing for event recognition, detection and localization of objects in complex scenes, distributed heterogeneous sensors ambient awareness systems, ambient intelligence and bio-inspired cognitive systems.
Carlo S. Regazzoni received the Laurea degree in Electronic Engineering and in 1992 the Ph.D. in Telecommunications and Signal Processing from the University of Genoa (UniGE). Since 2005 he is Full Professor of Telecommunications Systems. He is the coordinator of the International Erasmus Mundus Joint Doctorate on Interactive and Cognitive Environments (ICE), providing joint/double PhD titles at the European level (www.icephd.org). Dr.Regazzoni is involved in research on Signal and Information Processing since 1988. Data Fusion, and Cognitive (Video and Radio) Dynamic Systems are his main research interests being Ambient Intelligence, Cognitive Radio, Surveillance and Physical Security, the main applications. He is a pioneering researcher in Intelligent Video Surveillance (including Video analytics). He participated in national and EU projects (e.g. Dimus) since 1988. Since 1995 he is responsible of the (now) Signal and Information Processing for Cognitive Telecommunications (ISIP40 (http://www.isip40.it) research unit now at the Department DITEN of Polytechnic School of UniGE. He is/has been Associate Editor/Guest Editor of several international journals: (e.g. Proceedings of the IEEE, IEEE Trans on Image Processing, IEEE Transactions on Mobile Computing, Eurasip Journal on Information Security); he has been Chair of Steering Committee of the IEEE Advanced Video and Signal Based Surveillance conference (AVSS).. He served as IEEE SPS Regional-Director-at-large (2011-2012) for Region 8 (Europe, Middle East e Africa) and is Director of Membership services (2013-2015). He has been a member of IEEE SPS Board of Governors of IEEE SPS 2011-2012.He chairs of IEEE Italy Signal Processing Society Chapter (2011 -2014). He is author or co-author of more than 75 papers on International Scientific Journals and of more than 280 papers accepted at peer-reviewed international Conferences.
Muhammad did his BSC in Telecommunication Eng. (2010) and MEng in Communication Systems and Networks (2013) at Mehran Uni. of Eng. and Technology, Pakistan. He worked as a lecturer in the Dep. of Electrical Eng. at COMSATS Inst. of Inf. Technology (2013-2015) and in the College of Eng. at the Karachi Inst. of Economics and Technology (2015-2017), Pakistan. His research interests focus on dynamic spectrum modeling for cognitive radio, machine learning techniques for cognitive environment and adaptive modulation techniques for wireless communication.
Divya did her BSC in Electronics and Communication Engineering at University College of Engineering, Trivandrum, India. After a period in Industry, she obtained her MS in Multimedia Signal Processing and Telecommunication Networks in 2014 from University of Genoa, Italy. Her research interests include machine learning and Internet of Things for interactive and cognitive environments, and networks of 'Ego things'.
Andrea obtained his Masters in Communication Engineering in 2014 from University of Salento (Italy). His main research focused on the localisation problem in Wireless Sensor Networks where he gained experience at Austrian Institute of Technology (Vienna) and University of Salento. He is currently a PhD candidate and involved in the JD ICE programme.
Rana received her BSC in Computer Sciences in 2013 and MS of Computer Sciences in Software Eng in 2015 from Lebanese University-Faculty of Sciences, Lebanon. She has experience on VOIP, Windows Phone and the .Net Framework having worked for more than one year at Telepaty Holding, Tripoli, Lebanon. Her current research interests are naturalistic vehicular data analysis, data science, On-Board Diagnostics protocol, automotive sensing data, eco-driving, driving behavior profiling, and serious games.
Yousef has a background in Electronic Engineering and Systems Engineering. He gained experience in computer vision, machine learning and the real-time processing of large amounts of data through building drone sensor systems. His current research interests focus on personal data, networks and privacy.
Nikesh did his Masters in Communication and Information Systems (Signal Processing stream) from Aligarh Muslim University, India. With five years of teaching experience, he worked in Signal Processing, Image and Audio Processing and Machine Leaning. His current research interests focus on Brain Signal Processing with Machine Learning for Serious Games.
Muhammad did his Bachelor in Information Technology in 2006 from N.W.F.P Agriculture University Peshawar, Pakistan, and Masters of Sciences in Computer Engineering in 2009 from COMSATS Institute of Information Technology, Pakistan. He worked as lecturer in Afghanistan for two years and he worked as a lecturer at the state University of Swat, Pakistan between 2011 and 2015. His current research interests are machine learning, computer vision and crowd analysis.
The Carlos III University of Madrid (UC3M) is a public university founded in 1989. Its main objective is to provide specialized training in Law, Social Sciences and Engineering, as well as becoming a major European Research Center. In addition, UC3M pursues the creation of an innovative university and tries to offer a university model based on a philosophy oriented towards quality. In this sense, modern, flexible and multidisciplinary curricula have been designed to meet the scientific and technological needs of modern society. As for the training area, UC3M was the first in Spain to fully comply with the requirements of the European Higher Education Area (EHEA) (Bologna Process) and offers studies in most scientific disciplines.
UC3M is located in the southern metropolitan area of Madrid and is made up of 1,971 teachers, 697 administrative, 2 Faculties, 1 Technical School, 1 Graduate School and 1 Doctoral School in 4 Campuses (Leganés, Getafe, Puerta de Toledo-Madrid and Colmenarejo), 29 three-year degree courses, 84 master's degrees, 19 doctorates, 1 Science & Technology Park - Leganés Tecnológico and 5 research centers.
The Intelligent Systems Lab research group (LSI, abbreviated to Spanish: Laboratorio de Sistemas Inteligentes) is involved in this Doctoral Course. It was founded in 2000 to conduct multidisciplinary research and development in the field of advanced applications of perception and autonomous systems. The group is made up of professors and post-graduate / university students. (http://www.uc3m.es/islab).
Members of LSI have been researching topics related to intelligent vehicles for over 20 years. In this period, different systems have been developed in the field of perception technologies and intelligent systems. Research topics include artificial vision systems, intelligent transport systems, autonomous systems, data merging and more. Currently, the laboratory has several research platforms to be used in the program, which includes two autonomous electric vehicles, a smart car Advanced Driver Assistance Systems (ADAS) and several drones. The LSI group focuses on providing advanced technologies in different sectors, in which group members are always involved in a practical vision, testing new algorithms on their research platforms in scenarios and real-life conditions.