題目:Cross-domain Big Data Processing and Analytics
交叉領(lǐng)域大數(shù)據(jù)分析處理
時間:10:00am - 11:00am,Nov. 06, 2017 (Mon.)
地點:中山大學(xué)計算機學(xué)院 A101報告廳
講者:曹建農(nóng) 教授,,IEEE Fellow,,香港理工大學(xué)電子計算學(xué)系
主持:吳維剛 020-39943093 [email protected]
Abstract:
Big data analytics using cross-domain datasets allow us to study phenomena by fusing views from multiple angles, facilitating identifying meaningful problems and discovering new insights. However, we need methods and techniques to solve the challenges like heterogeneity, uncertainty and high dimensionality in analyzing cross-domain datasets. In this talk, I will share our work of analyzing datasets from multiple domains to uncover the underlying patterns, correlations and interactions to address human and urban dynamics issues like predict traffic congestions, optimize demand dispatching in emerging on-demand services, and designing wireless networks.
Bio:
Dr. Cao is currently a Chair Professor of Department of Computing at The Hong Kong Polytechnic University, Hong Kong. He is also the director of the Internet and Mobile Computing Lab in the department and the director of University’s Research Facility in Big Data Analytics. His research interests include parallel and distributed computing, wireless sensing and networks, pervasive and mobile computing, and big data and cloud computing. He has co-authored 5 books in Mobile Computing and Wireless Sensor Networks, co-edited 9 books, and published over 500 papers in major international journals and conference proceedings. He served the Chair of the Technical Committee on Distributed Computing of IEEE Computer Society 2012-2014, a member of IEEE Fellows Evaluation Committee of the Computer Society and the Reliability Society, a member of IEEE Computer Society Education Awards Selection Committee, a member of IEEE Communications Society Awards Committee, and a member of Steering Committee of IEEE Transactions on Mobile Computing. Dr. Cao has served as chairs and members of organizing and technical committees of many international conferences, and as associate editor and member of the editorial boards of many international journals. Dr. Cao is a fellow of IEEE and ACM distinguished member.