演講者：呂榮聰 教授(The Chinese University of Hong Kong)

時間：2017年1月20日(星期五) 10:30~11:30

地點：工程三館EC411會議室

主持人：袁賢銘 教授

主題：Big Data Analytics: A New Frontier to Explore

演講摘要：

Big data analytics is a significant research area in the "big data" era.  Big Data is characterized by 4 Vs: volume, variety, velocity, and veracity, which posts enormous challenges in modeling, processing, and analyzing the massively available data in order to generate value.  In this talk, I will present our most recent achievements in Big Data analytics to attack the value-seeking research challenges. To address the volume issue, we investigated and designed distributed machine learning platforms. To address the variety issue, we extended learning techniques in recommendation systems with a wide range of applications. To address the velocity issue, we proposed several online learning algorithms. To address the veracity issue, we formulated a methodology for feature extraction.  In exploring a new frontier of software engineering, I will further describe how systematic learning techniques can be employed to accomplish effective logging disciplines, demonstrating the value of Big Data analytics in developing reliable software (including AI) systems.

 講者介紹：

Michael Rung-Tsong Lyu （呂榮聰）is a Professor of Computer Science and Engineering Department at The Chinese University of Hong Kong. He worked at the Jet Propulsion Laboratory, the University of Iowa, Bellcore, and Bell Laboratories. His research interests include software reliability engineering, distributed systems, big data analytics, machine learning, services computing, and multimedia information retrieval. He has published 500 refereed journal and conference papers in these areas, recording 22,000 Google Scholar citations and H-index of 74. He served as an Associate Editor of IEEE Transactions on Reliability, IEEE Transactions on Knowledge and Data Engineering, and IEEE Transactions on Services Computing. He is currently on the editorial boards of IEEE Access and Software Testing, Verification and Reliability Journal.  He was elected to IEEE Fellow (2004), AAAS Fellow (2007), Croucher Senior Research Fellow (2008), and ACM Fellow (2015). Prof. Lyu received his B.Sc. from National Taiwan University, his M.Sc. from University of California, Santa Barbara, and his Ph.D. in Computer Science from University of California, Los Angeles.