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The Computer Laboratory
University of Cambridge
Title: "Computing for the Future of the Planet".
Abstract: The "Computing for the Future of the Planet" project is aimed at the intersection of computing and sustainability. An update on progress in the four main areas will be given: an optimal digital infrastructure, sensing and optimising with a global world model, reliably predicting and reacting to the environment, and digital alternatives to physical activities. Practical industrial examples will be presented in addition to longer term research goals.
Bio: Andy Hopper is Professor of Computer Technology at the University of Cambridge, Head of Department of the Computer Laboratory, and elected member of the University Council. His research interests include computer networking, pervasive and sentient computing, and using computers to ensure the sustainability of the planet.
Andy Hopper has pursued academic and industrial careers simultaneously. In the academic career he has worked in the Computer Laboratory and the Department of Engineering at Cambridge. In the industrial context he has co-founded a dozen spin-outs and start-ups, three of which floated on stock markets. He is currently Chairman of RealVNC and Ubisense plc.
Professor Hopper received the BSc degree from the University of Wales Swansea (1974) and the PhD degree from the University of Cambridge (1978). He is a Fellow of the Royal Academy of Engineering (1996) and of the Royal Society (2006). He was made a CBE for services to the computer industry (2007).
Prof. Paul Lukowicz
Embedded Intelligence Lab, DFKI Kaiserslautern, Germany
University of Passau, Germany
Title: "Context to the People: What will it take to make activity recognition Systems suitable for consumer applications".
Abstract: With the advance of sensor enabled smart phones simple context awareness has become a mainstream feature. Commercial apps routinely use location knowledge for the delivery of customized information or fostering social interaction. There are also scores of apps that analyse modes of locomotion for purposes such as calories calorie expenditure assessment or exercise support. On the other hand, more detailed recognition of human activities and complex situations has so far had very little impact on real-life applications.
That talk will look at factors that prevent wide spread use of complex activity recognition and discuss research that works to mitigate those factors. Topics will include working with dynamic, opportunistic sensor configurations, collaborative recognition and new sensing modalities.
Bio: Paul Lukowicz is a scientific director at DFKI (German research center for artificial Intelligence) Kaiserslautern leading the Embedded Intelligence group and a professor of computer science at the university of Passau in Germany. He has a MSc in Computer Science, an MSc. in Physics and a Ph.D. in Computer Science from the University of Karlsruhe, Germany. His research interests include ubiquitous sensing, context awareness, wearable computing, pervasive healthcare, and self-organized systems.