报告题目：lessons learned on data science research
主讲人：zhifeng bao (professor of rmit)
时间：2022年05月05日（星期四）19:10-20:00
地点：线上线下同步进行
线下：翔安校区学武楼（1号楼）a105
线上：https://meeting.tencent.com/dm/oqoqm3a5esrm（会议号555-186-537）
摘要：
in this talk, i will highlight some lessons learned in data science research, including research methodology, academic writing, time management, and how to prepare your presentation. i encourage the audiences to interact with me by asking the problems they encounter and we can brainstorm the possible customized approaches to address those problems. the majority part of the discussion will be via an interactive and iterative q&a.
报告人简介：
zhifeng bao is a professor in the school of computing technologies, rmit university and an honorary senior fellow at the university of melbourne. his research interests include algorithm design with non-trivial theoretical guarantees and high practicality for large-scale data integration, management and analytics, with the mission of making big data truly usable. zhifeng received his phd and bsc (hons) in computer science at nus in 2011 and 2006 (the only winner of the best phd thesis award in school of computing and the recipient of the gold medal awarded by singapore infocomm development authority). zhifeng won the 2021 chris wallace award for outstanding research, awarded by core (the computing research and education association of australasia). he is also a two-time winner of the google faculty research award. currently, he serves the associate editor of pvldb vol16 and sigmod 2023. since 2016 he has been a (senior) pc member of all flagship conferences in three areas (databases, data mining and information retrieval), such as sigmod, vldb, icde, kdd, sigir and wsdm. zhifeng has received five best paper awards such as kdd 2019 best paper award runner-up, and five best paper nominations such as kdd 2018 and icde 2009. at rmit, he co-directs the rmit research centre for information discovery and data analytics and is the head of the big data & database lab.
邀请人：软件工程系 王晓黎 副教授