Thanks GroupSense for funding this award!
The following two papers received the Best Paper Awards: (1) "Debugging OpenStack Problems using a State Graph Approach" by Yong Xiang, Hu Li, Sen Wang, Charley Peter Chen, and Wei Xu; and (2) "Time Capsule: Tracing Packet Latency across Different Layers in Virtualized Systems" by Kun Suo, Jia Rao, Luwei Cheng, and Francis C.M. Lau. Congratulations!
The registration desk will open at 8 AM on August 4 & 5.
Call this HOTLINE if you need any help during the 2-day workshop: 5626 4411 (voice only).
The Venue page has been updated.
A typhoon (Nida) is approaching Hong Kong, but according to official reports, it should be completely clear of the way by Wednesday and things will be back to normal then. So please stay assured that APSys 2016 will be held as scheduled. Expect a bit or rain though during the two days of our workshop.
The Accommodation page is updated. Please book your hotel ASAP!
Speech: Using Data Science to Scale and Personalize Services
Many services, such as healthcare and education are highly human-intensive offerings that remain inaccessible (at acceptable quality level) to large numbers of people. With advances in computational power and increasing digitization of the world, there is an opportunity to apply data science to transform these services. This talk will describe opportunities and key challenges, both algorithmic and performance-related, to achieve truly transformational impact.
We begin by describing a dire need and an opportunity to improve the healthcare system worldwide by supporting a shift from reactive treatment to more proactive action. As examples of what is possible, we present new machine learning techniques to predict a class of complications in an ICU, to identify patients in a hospital who are likely to require ICU admission, and to support triage of stroke patients. We also present preliminary work that shows the applicability of remote sensing and data analytics to measure body vitals such as respiration and heart rate, to screen for diseases, and to reduce the need for people to visit a hospital. We then describe a system called TutorSpace to help with personalization and improved navigation of videos from massive open online courses to enable more effective learning. We describe some of the performance issues we have faced to make these systems practical, and our approach to those problems. Finally, we present data-driven techniques to improve public transportation services and to enable cities to reduce traffic congestion while offering a range of transportation options to their citizens. We frame all of the above efforts as examples of using data science to offer personalized services at scale.
Dr. Manish Gupta is Vice President at Xerox Corporation and Director of Xerox Research Centre in India. Previously, Manish has served as Managing Director, Technology Division at Goldman Sachs India, and has held various leadership positions with IBM, including that of Director, IBM Research - India and Chief Technologist, IBM India/South Asia. From 2001 to 2006, he served as a Senior Manager at the IBM T.J. Watson Research Center in Yorktown Heights, New York, where he led the team developing system software for the Blue Gene/L supercomputer. IBM was awarded a National Medal of Technology and Innovation for Blue Gene by US President Barack Obama in 2009. Manish holds a Ph.D. in Computer Science from the University of Illinois at Urbana Champaign. He has co-authored about 75 papers, with over 6,000 citations in Google Scholar (with an h-index of 42) in the areas of high-performance computing, compilers, and virtual machine optimizations, and has been granted 19 US patents. Manish has received an Outstanding Innovation Award, two Outstanding Technical Achievement Awards and the Lou Gerstner Team Award for Client Excellence at IBM. He is an ACM Fellow, a Fellow of the Indian National Academy of Engineering, and a recipient of a Distinguished Alumnus Award from IIT Delhi.