Dr. Myo Thida received her Ph.D. degree from Kingston University, UK, in 2013. She received the B.Eng. and M.Eng. degrees from Nanyang Technological University(NTU), Singapore in 2005 and 2008 respectively. She is currently a Research Scientist with the Institute for Infocomm Research, Singapore. She was the recipient of NTU undergraduate scholarship in 2001 and the M.Eng. research scholarship in 2005. Her current research interests include computer vision and machine learning algorithms which focus on interpreting and understanding human activities in surveillance videos. Dr. Myo Thida won the Best Poster Prize from Springer at International Summer School on Pattern Recognition in 2011. She, together with her team members, also received the 2008 IES Prestigious Engineering Achievement award from Institution of Engineers, Singapore and the 2012 IWA applied research honour award from International Water Association for the development of an intelligent surveillance system for detecting contaminants in drinking water.
Dr. How-lung Eng received his BEng and Ph.D. degrees both in Electrical and Electronic Engineering from Nanyang Technological University, Singapore, in 1998 and 2002, respectively. Currently, he is with the Institute for Infocomm Research, Singapore as a research scientist and Programme Manager of Video Behavioral Analytics Programme. His research interest includes real-time vision, pattern classification and machine learning for abnormal event detection. Dr. How-lung Eng has made several PCT fillings related to video surveillance applications and has actively published his works in the above areas of interest. He was a recipient of the Tan Kah Kee Young Inventors' Award 2000 (Silver, Open Section) for his Ph.D. study, and a recipient of the TEC Innovator Award 2002, the IES Prestigious Engineering Awards 2006 and 2008 and IWA PIA Asia Pacific Regional Award 2012 for his works in the areas of video surveillance and video monitoring to ensure safe drinking water.
Dr. Dorothy Monekosso (Ph.D.) is Associate Professor in Medical Electronics and Robotics at the University of The West of England, UK, Head of Electronics and Computing and Research Lead at the Bath Institute of Medical Engineering (BIME), UK. Her research interests include intelligent environments and robotics. Dr. Monekosso is the author of over peer-reviewed publications in scientific journals and conferences and is guest-editor of book collections, published by Springer-Verlag, in the field of ambient intelligence and Intelligent Paradigms in Security. She is a guest editor on special issues of the IEEE Transactions of Automation, Science and Engineering on ""Automation and Engineering from Ambient Intelligence"" 2009 and the Journal of Information Fusion (2013). Dr. Monekosso is a member of the following editorial boards; the International Journal of Robotics and Automation (IJRA), the International Journal on Advances in Intelligent Systems (IJAIS), and International Journal of Advanced Intelligence Paradigms (IJAIP). She has served on a number of conference organizing and programme committees. Her interests include intelligent systems, ambient assisted living, and robotics.
Professor Paolo Remagnino is an expert in image and video understanding. He has worked as a researcher at INRIA, Grenoble, and the University of Reading. Since 1998, he has been with Kingston University where he leads the Robot Vision Team (RoViT). His research interests are in image and video understanding, pattern recognition, machine and manifold learning. Prof. Remagnino has published more than 120 papers in international journals and conferences. He has served as associate editor for the IEEE Transactions of Systems, Man and Cybernetics, part A, IEEE Transactions of Automation, Science and Engineering, the Elsevier Image and Vision Computing and Neurocomputing. Prof. Remagnino is a member of the UK EPSRC college and has served as evaluator for British and European funding research bodies. Professor Remagnino is currently principal investigator of four grants on the intelligent monitoring of public and private spaces, funded by the EU FP7 programme (PROACTIVE, CARING4U and BREATHE) and a project on advanced video surveillance funded by the U.S. Department of Homeland Security. Prof. Remagnino has an active collaboration on classification of plants and he is associate researcher with the Royal Botanic Gardens, Kew.
