Keynote   Speakers

Professor Susanto Rahardja, Ph.D., FIEEE   
Northwestern Polytechnical University, China.

Professor Susanto Rahardja was born in Jakarta, Indonesia. He received the B.Eng. (Hons 2A) degree from the National University of Singapore in 1991, and the M.Eng. and Ph.D. degrees from the Nanyang Technological University in 1993 and 1997 respectively, all in Electrical Engineering and Stanford Executive Program, Stanford University in 2012, San Jose, USA. His research interests include multimedia signal processing and interactive digital media in which he has published more than 250 publications in internationally refereed journals and conferences. He joined the Centre for Signal Processing at Nanyang Technological University as a research engineer in 1996 and was later appointed as Assistant Director of the Centre in 2001. He was the Director of Media Division at the Institute for Infocomm Research (I²R) from 2002 to 2007, where he led 150 full-time researchers in a broad range of media related research that cover areas in Signal Processing (audio coding, video/image processing), Media Analysis (text/speech, image, video), Media Security (biometrics, computer vision and surveillance) and Sensor Networks.
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Professor Xiaoqing Gu   
East China Normal University, China

Dr. Xiaoqing Gu is a professor and head of Department of Educational Information Technology, Faculty of Education, East China Normal University, China. She is the head of Shanghai Engineering Research Center of Digital Education Equipment. She earned her Ph.D. in Educational Technology from East China Normal University. Professor Gu has long been engaged in the research and practice of educational informationization. Her research interests include the areas of learning science and learning technology, computer-supported collaborative learning (CSCL), learning analytics and leaner profiling, ICT-integrated pedagogical innovation in which she has published more than 150 publications in internationally journals and conferences, more than 10 books and teaching materials. Professor Gu is the chief editor of IJSmartTL (International Journal of Smart Technology and Learning), board member of Journal of Computer Assisted Learning, Journal of Computer in Education, Education Technology research and development, Internet and higher education, and Journal of East China Normal University (Educational Science).
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Professor George Ghinea   
Department of Computer Science at Brunel University, London.

Dr. Gheorghita (George) Ghinea is a Professor in Mulsemedia Computing in the Department of Computer Science, at Brunel University. Dr. Ghinea's research activities lie at the confluence of Computer Science, Media and Psychology. In particular, his workfocuses on the area of perceptual multimedia quality and how one builds end-to-end communication systems incorporating user perceptual requirements. To this end, recognising the infotainment duality of multimedia, Dr. Ghinea proposed the Quality of Perception metric as a more complete characterisation of the human side of the multimedia perceptual experience. Dr. Ghinea has applied his expertise in areas such as eye-tracking, telemedicine, multi-modal interaction, and ubiquitous and mobile computing, leading a team of 8 researchers in these areas. He has over 300 publications in his research field and is the lead Brunel investigator of a H2020 project NEWTON ( applying mulsemedia to STEM learning across Europe.

Title: Integrating MulSeMedia in Learning- opportunities and challenges
Traditionally, multimedia applications have primarily engaged two of the human senses - the audio and the visual - out of the five possible. With recent advances in computational technology, it is now possible to talk of applications that engage the other three senses, as well: tactile, olfaction, and gustatory. This integration leads to a paradigm shift away from the old multimedia towards the new mulsemedia - multiple sensorial media. In his talk, Dr. Ghinea is going to focus on the issue of the perceptual experience of multimedia and how research in the area has opened new and sometimes challenging opportunities for mulsemedia applications and how these can be applied to learning.