Topic: How to Conduct Solid Research?
Speaker: Prof. Fan Wenfei
Time: Monday, October 20, 2023, 15:30 p.m.
Venue: The First Lecture Hall, New Main Building Conference Center, Xueyuan Road Campus
Abstract:
This talk is to share experience and lessons in connection with doing research in computer science (CS). It tackles the following questions. What research area should you pick? What makes solid research? How to conduct good research? What should you NOT do as a researcher? How to write good scientific papers? How to critically evaluate previous work? The talk aims to incite interest in CS research.
About the Speaker:
Prof. Fan Wenfei is a Professor (Chair) in the School of Informatics, University of Edinburgh, Edinburgh, U.K. He is also a Foreign Member of the Chinese Academy of Sciences, a Fellow of the Royal Society, a Fellow of the Royal Academy of Engineering, a Fellow of the European Academy of Sciences, a Fellow of the Royal Society of Edinburgh, and a Fellow of the Association for Computing Machinery (ACM). He is the Chief Scientist of Beihang Big Data High Precision Innovation Center, Chief Scientist of Shenzhen Institute of Computational Science, Chair Professor of Peking University, Distinguished Visiting Professor of Tsinghua University, and Honorary Professor of Peking University Shenzhen Graduate School. He graduated from Peking University (B.S., M.S.) and the University of Pennsylvania (Ph.D.), and was a scientist at Bell Labs before joining the University of Edinburgh.
Prof. Fan Wenfei has received the Wolfson Research Achievement Award of the Royal Society (2018), the ERC Advanced Grant of the European Research Council (2015), the Roger Needham Award of the United Kingdom (2008), the Changjiang Scholar of China (2007), the Overseas Outstanding Young Scholar (2003), the CAREER Award of the United States (2001), the Elsevier Network Science Journal Best Paper of the Year and Most Outstanding Author Award (2002), and time-tested and best paper awards from four top international conferences on theories and systems of data management: Alberto O. Mendelzon Time-Tested Prize/ACM PODS Best Paper of the Decade (2010, 2015), ACM SIGMOD (2017), VLDB (2010), and ACM SIGMOD (2010), and VLDB (2010), and ICDE (2007) Best Paper Awards. His current research focuses on database theory and systems, including big data, data quality, distributed computing, cross-modal computing, incremental algorithms, and online recommendations.
School of Computer Science and Engineering
