Speaker: Wenfei Fan, Shenzhen Institute of Computing Sciences, University of Edinburgh, Beihang University

Title: Cooperative Work across Machines, Data Models and Users

Abstract:

This talks explores three aspects of cooperative work for big data analytics: (1) parallel and synchronization models for multiple machines to collaboratively carry out computations on big datasets; (2) heterogeneous entity resolution and query processing for multiple data models to correlate and synthesize information; and (3) secure query answering for multiple users to share data under heterogeneous privacy models. The talk reports recent progress from the data management community. It aims to incite interest in these topics, and raises as many questions as it answers.

Biographical Sketch:

Professor Wenfei Fan is the Chair of Web Data Management at the University of Edinburgh, UK, and the Chief Scientist of Shenzhen Institute of Computing Science, China. He is a Fellow of the Royal Society (FRS), a Fellow of the Royal Society of Edinburgh (FRSE), a Member of the Academy of Europe (MAE), an ACM Fellow (FACM), and a Foreign Member of Chinese Academy of Sciences. He received his PhD from the University of Pennsylvania (USA), and his MSc and BSc from Peking University (China). He is a recipient of Royal Society Wolfson Research Merit Award in 2018, ERC Advanced Fellowship in 2015, the Roger Needham Award in 2008 (UK), Yangtze River Scholar in 2007 (China), the Outstanding Overseas Young Scholar Award in 2003 (China), the Career Award in 2001 (USA), and several Test-of-Time and Best Paper Awards (Alberto O. Mendelzon Test-of-Time Award of ACM PODS 2015 and 2010, Best Paper Awards for SIGMOD 2017, VLDB 2010, ICDE 2007 and Computer Networks 2002). His current research interests include database theory and systems, in particular big data, data quality, data sharing, distributed query processing, incremental algorithms and online recommendation.