ICETE Conference Co-Chairs
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Mohammad S. Obaidat
Fordham University, NY
United States
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Brief Bio
Professor Mohammad S. Obaidat (Fellow of IEEE and Fellow of SCS) is an internationally well-known academic/researcher/scientist. He received his Ph.D. and M. S. degrees in Computer Engineering with a minor in Computer Science from The Ohio State University, Columbus, Ohio, USA. Dr. Obaidat is currently the Chair and Full Professor of Computer and Information Science at Fordham University, NY, USA. He has received extensive research funding and has published Forty Six (46) books and over Six Hundreds and Eighty (680) refereed technical articles in scholarly international journals and proceedings of international
conferences, and currently working on three more books. Mohammad is the Editor-in-Chief of the Wiley International Journal of Communication Systems, the FTRA Journal of Convergence and the KSIP Journal of Information Processing. He is also an Editor of IEEE Wireless Communications. He is now an editor of the Wiley Security and Communication Networks Journal, Journal of Networks, International Journal of Information Technology, Communications and Convergence, IJITCC, Inderscience. Prof. Obaidat is an associate editor/editorial board member of seven other refereed scholarly journals. He has guest edited numerous special issues of scholarly journals. Obaidat has served as the steering committee chair, advisory Committee Chair and program chair of numerous international conferences.
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Andreas Holzinger
Medical University Graz
Austria
http://www.hci4all.at
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Brief Bio
Andreas Holzinger is lead of the Holzinger Group HCI–KDD, Institute for Medical Informatics & Statistics at the Medical University Graz, and Associate Professor of Applied Computer Science at the Faculty of Computer Science and Biomedical Engineering at Graz University of Technology. Currently, Andreas is Visiting Professor for Machine Learning in Health Informatics at the Faculty of Informatics at Vienna University of Technology. He serves as consultant for the Canadian, US, UK, Swiss, French, Italian and Dutch governments, for the German Excellence Initiative, and as national expert in the European Co
mmission. Andreas obtained a PhD in Cognitive Science from Graz University in 1998 and his Habilitation (second PhD) in Computer Science from Graz University of Technology in 2003. Andreas was Visiting Professor in Berlin, Innsbruck, London (twice), and Aachen. Andreas and his Group work on extracting knowledge from data and foster a synergistic combination of methodologies of two areas that offer ideal conditions towards unraveling problems with complex health data: Human-Computer Interaction (HCI) and Knowledge Discovery/Data Mining (KDD), with the central goal of supporting human intelligence with machine learning to discover novel, previously unknown insights into data. To stimulate crazy ideas at international level without boundaries, Andreas founded the international Expert Network HCI–KDD. Andreas is Associate Editor of Knowledge and Information Systems (KAIS), Associate Editor of Springer Brain Informatics (BRIN) and Section Editor of BMC Medical Informatics and Decision Making (MIDM). He is member of IFIP WG 12.9 Computational Intelligence, the ACM, IEEE, GI and the Austrian Computer Society. Home: http://hci-kdd.org
Publications see <link> https://scholar.google.com/citations?hl=en&user=BTBd5V4AAAAJ&view_op=list_works&sortby=pubdate
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Enrique Cabello
Universidad Rey Juan Carlos
Spain
http://www.frav.es/
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Brief Bio
Dr. Enrique Cabello received the B.S. in Physics (Electronics) from the University of Salamanca and the Ph.D. degree from the Polytechnical University of Madrid (both in Spain). He was awarded with the Extraordinary Prize as one of the best Ph.D. thesis. In 1990, he joined the University of Salamanca, where he was an Assistant Professor with the School of Sciences. From 1998 he is at the University Rey Juan Carlos (in Spain). Since 2001 he is the Coordinator of the FRAV research group. He has been main research in projects funded by national and international institutions and companies. His research interest incl
ude image and video analysis, pattern recognition and machine learning.
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