KEYNOTE SPEAKER I
Nigel Davies, Lancaster University
Title: Mobile or Ubiquitous? The Role of Infrastructure in Memory Augmentation
Abstract
Recent developments in capture technology and information retrieval allow for continuous recordings of many aspects of our everyday lives. These trends can be harnessed to develop new systems for memory augmentation that include novel capture technologies and corresponding control mechanisms to automate the acquisition of personal memories, and provide feedback through ambient large displays and personal mobile devices to aid personal memory acquisition, retention, and attenuation. However, the creation of such systems raises serious challenges for mobile and ubiquitous computing researchers. In this talk I will present a number of these emerging research challenges and in particular focus on how the design of such systems may force us to reconsider our existing ideas of the relationship between mobile and ubiquitous technology.
Bio
Nigel Davies is a Professor in the School of Computing and Communications at Lancaster University. His research focuses on experimental mobile and ubiquitous systems and his projects include the MOST, GUIDE, e-Campus and PD-NET projects that have been widely reported on in the academic literature and the popular press. Professor Davies has held visiting positions at SICS, Sony's Distributed Systems Lab in San Jose, the Bonn Institute of Technology, ETH Zurich, CMU and Google Research in Mountain View, CA. Nigel is active in the research community and has co-chaired both Ubicomp and MobiSys conferences and served as editor-in-chief of IEEE Pervasive Magazine. He is the chair of the steering committee for HotMobile and one of the founders of the ACM PerDis Symposium on Pervasive Displays. He is currently the coordinator of Recall -- a large multinational project that is exploring new technologies for augmenting human memory.
KEYNOTE SPEAKER II
Konstantina Papagiannaki, Telefonica Research and Innovation
Title: Towards a Ubiquitous, Zero Energy Location Sensor for Anything Connected
Location based services have revolutionized the mobility industry, enabling users and devices with the ability to adjust their behavior depending on their physical location. Understanding one's mobility patterns and the mobility patterns across large numbers of devices can and has enabled a number of novel industries. Knowing one's location in today's systems, however, comes at a cost, that does not only span battery consumption, but also computation and actual hardware cost. Machina Research is predicting 50 billion connected devices in the year 2020 - a number estimated to 24 billion by GSMA, and 30 billion by Gartner. A lot of these connected devices - also known as "things" - will require continuous connectivity but infrequent communication to more intelligent backends. They will further need to cost less than $5 each, while lasting for at least 7 years on a single AA battery. Putting all those requirements together prohibits these devices from featuring technologies like GPS. In this talk I will present our efforts to create a new kind of location sensor for the masses of connected devices, expected by 2020. That sensor will be costless, zero energy, but potentially less accurate than today's geolocalization technologies. I will show how one could address such inaccuracies, closing the gap, and making the proposed solution a viable one, both in terms of cost as well as performance.
Bio
Konstantina (Dina) Papagiannaki is the scientific director, responsible for the Internet, Systems and mobile research carried out by the scientific group at Telefonica Research and Development in Barcelona. Prior to that she was a senior researcher at Intel Labs; from 2004 until the end of 2006 in Cambridge, UK and from 2007 until 2011 in Pittsburgh, USA. From the beginning of 2000 until the end of 2003 she was a member of the IP Group at the Sprint Advanced Technology Labs. She got awarded her PhD from the Computer Science Department of University College London (UCL) in March 2003, receiving the Distinguished Dissertations Award 2003. She got her first degree in Electrical and Computer Engineering at the National Technical University of Athens (NTUA) in October 1998. She has chaired the technical program committee of the premier conferences in her field, authored more than 60 peer reviewed papers, authored a book on the design and management of large-scale IP networks through Cambridge University Press, has 1 pending and 5 awarded patents, and has received the best paper awards at ACM Mobicom 2009, ACM IMC 2013, and ACM CoNEXT 2013. She has held an adjunct faculty position in the Computer Science Department at Carnegie Mellon University from 2007 until 2011, and in 2008 she received the rising star award of the computer networking community of ACM. She has participated as an expert in panels for the Federal Commission of Communications, the National Telecommunications and Information Agency, and the National Science Foundation of the U.S.A, as well as the Association of Computing Machinery.
