时间：2013年5月9日上午10:30

地点：研究生基地一楼一会议室

Transforming Big Data into Smart Data: Algorithms, System, and Application

Yu Cao

University of Tennessee at Chattanooga, U.S.A

报告摘要：(Abstract)

  Recent years have witnessed an explosive increase in electronic data. For example, International Data Corporation (IDC) estimated that the total amount of electronic data was 2.7 zettabytes by the end of 2012. The global size of “Big Data” in Biomedicine stands at roughly 200 Exabytes in 2012. Such big data have fundamentally changed the business, research, and education. Understanding the big data and thereby transforming big data into smart data at the semantic level is the key to explore the full potential of data and to unravel complex phenomena. Due to the unique challenges of big data, the task of transforming big data presents a number of compelling computational and analytical challenges.

  In this talk, I will introduce a data-driven, multi-layered system for transforming big data into smart data. “Big Data” in Computational Biomedicine will be a case in point in my talk. I will briefly describe each component of our proposed system. I will then describe in detail the third component (smart data indexing, retrieval, and analysis). Both the theoretic framework (algorithms and system) and the applications of the theory to biomedical data will be discussed. Our proposed algorithms and system, which have been employed and used in practice at Mayo Clinic, University of Tennessee: College of Medicine, Harvard Medical School, and biology research labs at California Institute of Technology and University of Groningen (Netherlands), are first and necessary steps toward a systematic computing solution that is capable of transforming large-volume and heterogeneous data into smart data.

个人简介(About Dr. Yu Cao)

  Dr. Yu Cao has been an Assistant Professor at the Department of Computer Science and Engineering, College of Engineering and Computer Science, at The University of Tennessee at Chattanooga (UTC) since August 2010. From 2007 to 2010, he was an Assistant Professor of Computer Science at California State University, Fresno. Prior to that, he was a Visiting Fellow of Biomedical Engineering at Mayo Clinic, Rochester, Minnesota. He received his M.S. and Ph.D. degrees in Computer Science from Iowa State University in 2005 and 2007, respectively. He received the B.Eng. degree from Harbin Engineering University in 1997, the M.Eng. degree from Huazhong University of Science and Technology in 2000, all in Computer Science. His research interests span a variety of aspects of algorithms and software infrastructure for big data and data-intensive computational intelligence, with a particular focus on scientific domains such as computational biomedicine. He has over 10 years of research experiences in computational intelligence, and has published more than 40 peer-reviewed articles in leading computer science journals and conference proceedings. His research is currently, and has been supported by both NSF and NIH. He was a guest editor for two special issues of Multimedia Tools and Applications (MTAP) by Springer. He serves/served on Organizing Committees or Programming Committees of more than 15 international conferences and workshops. He is a senior member of IEEE, member of ACM and Upsilon Pi Epsilon (UPE). For more information, please refer to faculty website at http://web2.utc.edu/~swf134.

欢迎老师和同学积极参加。