报告题目：大数据智慧云与物联网的深度应用Big-Data Analytics, Smart Clouds and Intelligent IoT Applications
报告日期及时间：2016年3月17日（周四）10:00
报告地点：计算机大楼101教室
报告人：黄铠教授
报告人单位：University of Southern California(USC)
报告人简介：
BiographicalSketch:Kai Hwang is a Professor of computer science and engineeringat the University of Southern California (USC).
He is also an EMC-endowedvisiting Chair Professor at Tsinghua University. He received the Ph.D. fromUniversity of California, Berkeley in 1972. He has published 8 books and over250 papers in computer architecture, parallel processing, P2P and cloudcomputing, and In ternet security areas. His work was cited over 15,000 times inGoogle Scholars with an h-index of 53. His books have been adopted worldwide and translated into 5 foreignlanguages. His 2012 book: Distributedand Cloud Computing has been named the best academic title by the AmercicanLibrary Association in that year. An IEEE Life Fellow, he received thevery-first 2004 CFC Outstanding Achievement Award and the Lifetime Achievement Award from the IEEECloudCom 2012 for his pioneering work in parallel computing and distributedsystems. He has served as the foundingEditor-in-Chief of the Journal of Parallel and Distributed Computing for 28years. He has produced 22 Ph.D studentsat Purdue University and at USC. Four of them were elected IEEE Fellows and onean IBM Fellow. He has delivered four dozens of keynote addresses in majorIEEE/ACM Conferences. Hwang has performed advisory, consulting andcollaborative work for IBM, Intel, MIT Lincoln Lab, JPL at Caltech, AcademiaSinica in China, ETL in Japan, ETRI in Taiwan, and INRIA in France. He can bereached via Email:kaihwang@usc.edu.
报告摘要：
Abstract:In this talk, Dr. Hwang addresses the growing interest inbig-data industry surrounding the use of cloud analytics, social networks,machine learning, and the Internet of things (IoT). He will assess theengineering issues to upgrade cloud architecture with machine learning and IoTsensing capabilities. His talk covers smart clouds and IoT intelligence inbuilding smart city, big data for health-care applications, and manufactureproductivity and business intelligence. These technical challenges demand newapproaches to upgrade IoT sensing and cloud intelligence in innovative big dataapplications. To remove the security and trust barriers in bare-metal orvirtual clouds, he will examine plausible solutions to deepen data mining,cloud analytics, deep learning, knowledgement discovery and IoT-based cycber-physical systems. Somehidden opportunities will be revealed for the building of smart everything withtrusted clouds and IoT environments.
邀请人：彭智勇 教授
