Bio: Dr. Hui Lei is Director and CTO, Watson Health Cloud at IBM. He provides leadership on the Watson Health Cloud technical strategy, and spearheads the development of the Watson Health Cloud platform. Prior to his current role, Dr. Lei was Senior Manager, Cloud Platform Technologies at the IBM T. J. Watson Research Center, where he led IBM’s worldwide research strategies in cloud infrastructure services and cloud managed services. Dr. Lei's technical vision and creative contributions have influenced many commercial software products and services, which range across big data solutions, cloud service offerings, middleware platform for mobile and pervasive computing, and e-business tooling. An active and recognized member of the international technical community, Dr. Lei is a Fellow of the IEEE, Editor-in-Chief of the IEEE Transactions on Cloud Computing, and Chair of the IEEE Computer Society Technical Committee on Business Informatics and Systems. He has taken part in many international conferences as a steering committee chair, general chair, technical program chair, or keynote speaker. He is a highly cited author and inventor, and has over 60 scholarly papers and over 70 patents to his credit. He received his PhD in Computer Science from Columbia University.

Topic: The Case for Smart Health Cloud

Abstract:Many industries have started using the cloud to generate new insights from data and transform their core businesses. In this talk, I will discuss the need and opportunity for the smart health cloud, which receives, curates, governs and analyzes an unprecedented volume of health-related data, including clinical records, insurance claims, lab data, genomics data, medical images, emerging exogenous data, and medical knowledge. I will present examples of how health big data can be combined and processed at cloud scale and speed to create industry-transforming insights and significantly improve health outcomes. I will also discuss the challenges in creating a purpose-built health cloud for enabling innovative health solutions, and describe an architecture and building blocks for the health cloud.

Bio: Meikang Qiu received the BE and ME degrees from Shanghai Jiao Tong University and received Ph.D. degree of Computer Science from University of Texas at Dallas. Currently, he is an Adjunct Professor at Columbia University and Associate Professor of Computer Science at Pace University. He is an IEEE Senior member and ACM Senior member. He is the Chair of IEEE Smart Computing Technical Committee. His research interests include cyber security, cloud computing, big data storage, hybrid memory, heterogeneous systems, embedded systems, operating systems, optimization, intelligent systems, sensor networks, etc. A lot of novel results have been produced and most of them have already been reported to research community through high-quality journal and conference papers. He has published 5 books, 330 peer-reviewed journal and conference papers (including 150+ journal articles, 180+ conference papers, 50+ IEEE/ACM Transactions papers), and 3 patents. He has won ACM Transactions on Design Automation of Electrical Systems (TODAES) 2011 Best Paper Award. His paper about cloud computing has been published in JPDC (Journal of Parallel and Distributed Computing, Elsevier) and ranked #1 in Top Hottest 25 Papers of JPDC 2012. He has won another 8 Conference Best Paper Awards in recent years. Currently he is an associate editor of 10+ international journals, including IEEE Transactions on Computer and IEEE Transactions on Cloud Computing. He is the General Chair/Program Chair of a dozen of IEEE/ACM international conferences, such as IEEE HPCC, IEEE CSCloud, IEEE BigDataSecurity. He has given 100+ talks all over the world, including Oxford, Princeton, Stanford, and New York University. He has won Navy Summer Faculty Award in 2012 and Air Force Summer Faculty Award in 2009. His research is supported by US government such as NSF, Air Force, Navy and companies such as GE, Nokia, TCL, and Cavium.

Topic: Privacy Protection for Mobile Cloud to Prevent Data Over-collection

Abstract: In smart city, all kinds of users’ data are stored in electronic devices to make everything intelligent. A smartphone is the most widely used electronic device and it is the pivot of all smart systems. However, current smartphones are not competent to manage users’ sensitive data, and they are facing the privacy leakage caused by data over-collection. Data over-collection, which means smartphones apps collect users’ data more than its original function while within the permission scope, is rapidly becoming one of the most serious potential security hazards in smart city. We study the current state of data over-collection and study some most frequent data over-collected cases. We present a mobile-cloud framework, which is an active approach to eradicate the data over-collection. By putting all users’ data into a cloud, the security of users’ data can be greatly improved. We have done extensive experiments and the experimental results have demonstrated the effectiveness of our approach. This research has been published in IEEE Transactions on Computers.