Keynote Speakers

Philip Torr (University of Oxford)

Philip Torr did his PhD (DPhil) at the Robotics Research Group of the University of Oxford under Professor David Murray of the Active Vision Group. He worked for another three years at Oxford as a research fellow, and is still maintains close contact as visiting fellow there. He left Oxford to work for six years as a research scientist for Microsoft Research, first in Redmond USA in the Vision Technology Group, then in Cambridge UK founding the vision side of the Machine learning and perception group. He then became a Professor in in Computer Vision and Machine Learning at Oxford Brookes University, where he has brought in over one million pounds in grants for which he is PI. Recently in 2013 he returned to Oxford as full professor where he has established the Torr Vision group and has broughy in over five million pounds of funding. Philip Torr won several awards including the Marr prize (the highest honour in vision) in 1998. He is a Royal Society Wolfson Research Merit Award Holder. He was involved in the algorithm design for Boujou released by 2D3. Boujou has won a clutch of industry awards, including Computer Graphics World Innovation Award, IABM Peter Wayne Award, and CATS Award for Innovation, and a technical EMMY. He then worked closely with this Oxford based company as well as other companies such as Sony on the Wonderbook project.

Roger Whitaker (Cardiff University)

Roger Whitaker is a Professor of Computing at Cardiff University, UK, and the former Head of the Cardiff University School of Computer Science & Informatics. Currently he is the Dean of Research and Innovation for the College of Physical Sciences and Engineering at Cardiff University and the Director of Supercomputing Wales, a newly formed £15M national facility for high performance computing in Wales, in partnership with Aberystwyth, Bangor and Swansea Universities. His research addresses collective intelligence, involving a range of methodologies to study human and machine behaviour, evolution and interactions. He has led a range of research projects in these areas, funded by the European Commission, the Wellcome Trust, EPSRC and other sources. Currently he works on the UK-US “International Technology Alliance”, in partnership with IBM, Penn State and Yale Universities, the UK Defence Science and Technology Lab and US Army Research Lab. He is an editorial board member for journals including Social Network Analysis and Mining.

Keynote Title: Smartphones, the extended mind and digital footprints

Abstract: In a relatively short space of time, Smartphones have become an indispensible part of everyday life, providing insights into individual behaviour as well as insights into common human characteristics. In this talk we will examine how and why humans instinctively engage with smartphones, including the cognitive benefits and costs that result. Based on recent work, we discuss a range of trends concerning smartphone usage, including more details ways in which user behaviour can be assessed, and the extent to which app design may influence user engagement. We also provide insights into common patterns of behaviour that humans exhibit when using smartphones, that relate to app surfing. In conclusion we discuss the future on the smartphone, and how we might see further innovation in its usage.

Deming Chen (University of Illinois)

Dr. Deming Chen obtained his BS in computer science from University of Pittsburgh, Pennsylvania in 1995, and his MS and PhD in computer science from University of California at Los Angeles in 2001 and 2005 respectively. He joined the ECE department of University of Illinois at Urbana-Champaign (UIUC) in 2005 and has been a full professor in the same department since 2015. His current research interests include machine learning and acceleration, GPU and reconfigurable computing, system-level and high-level synthesis, computational genomics, and hardware security. He has given about 100 invited talks sharing these research results worldwide. Dr. Chen is a technical committee member for a series of top conferences and symposia on EDA, FPGA, low-power design, and embedded systems design. He is an associated editor for several leading IEEE and ACM journals. He received the NSF CAREER Award in 2008, the ACM SIGDA Outstanding New Faculty Award in 2010, and IBM Faculty Award in 2014 and 2015. He also received eight Best Paper Awards and the First Place Winner Award of DAC International Hardware Contest on IoT in 2017. He is included in the List of Teachers Ranked as Excellent in 2008 and 2017. He was involved in two startup companies previously, which were both acquired. In 2016, he co-founded a new startup, Inspirit IoT, Inc., for design and synthesis for machine learning applications targeting the IoT industry. He is the Donald Biggar Willett Faculty Scholar, an IEEE Fellow, an ACM Distinguished Speaker, and the Editor-in-Chief of ACM Transactions on Reconfigurable Technology and Systems (TRETS).

Keynote Title: Cognitive Computing on Heterogeneous Hardware Systems for the AI Revolution

Abstract: Many envision that AI (artificial intelligence) will usher in the next iteration of technology revolution, where humans and machines will work side-by-side to augment, enhance, or accelerate our ability to analyze, learn, create, and think. There are successful stories emerging fast already, such as IBM Watson, Microsoft HoloLens, and Google AlphaGo. One essential component to enable the new AI revolution is IoT (Internet of Things). Cognitive computing can learn from the rich IoT data, reason from models, and most importantly interact with us to perform complex tasks (ranging from healthcare to education to financial services) better than either humans or machines can do by themselves. Meanwhile, high-performance computing would be of paramount importance to help achieve the grand vision of cognitive computing. In this talk, Prof. Chen will share his recent research results on machine learning, reconfigurable computing, GPU computing, and cognitive application benchmarking. He will also present his recent work on extremely fast software and hardware modeling and the automated software/hardware co-design for accelerating cognitive computing workloads. Compelling AI applications will be introduced as well, such as autonomous driving, machine translation, and music synthesis.

Nikola Šerbedžija (iTETA Consulting)

Nikola Šerbedžija is the founder of iTETA Consulting. He was scientific advisor at Fraunhofer FOKUS [1992-2018], responsible for new research initiatives and innovative technology. He was visiting professor at University of Sydney [1999-2000] and at the University of Arts, Berlin [2000-2007] and he taught several special courses at various universities in Europe, Australia and Brazil. His research work is primarily concerned with distributed computing, especially applied to ubiquitous systems, cyber-physical systems and IoT. In addition, his research covers modelling, architectural approach and practical deployment of adaptive and autonomous systems. He was principal investigator in the various research projects that led to REFLECT and ASCENS frameworks for developing pervasive-adaptive systems and self-aware autonomous systems, respectively. He has been on numerous international conference committees and held various invited/keynote talks at scientific events. He co-authored many chapters in special edition monographies or books and he is the author of over 100 journal and conference papers. He has been acting as an expert for European FP7 and Horizon 2020 programmes, mostly for the Future Emerging Technology actions.

Keynote Title: Social By Design - Theory and Praxis