讲座题目:My view on Research Methodology
主讲人:张成奇 教授
主持人:林学民 教授
开始时间:2015-09-08 11:00
讲座地址:中北校区数学馆西113室
报告人简介：
Chengqi Zhang has been appointed as a Research Professor of Information Technology at The University of Technology, Sydney (UTS) since December 2001. He has been the Director of the UTS Research Centre for Quantum Computation & Intelligent Systems (QCIS) since April 2008.
Chengqi Zhang obtained his PhD degree from the University of Queensland in 1991, followed by a Doctor of Science (DSc – Higher Doctorate) from Deakin University in 2002, all from computer science.
He had been appointed by University of New England (UNE) from 1990 to 1998 as Lecturer, Senior Lecturer, and Associate Professor, then Deakin University from 1999 to 2001 as Associate Professor, then UTS from 2002 till now as Research Professor.
Prof. Zhang’s key areas of research are Distributed Artificial Intelligence, Data Mining and its applications. He has published more than 200 refereed research papers, including a number of papers in the first-class international journals, such as Artificial Intelligence, IEEE and ACM Transactions. He has delivered 14 keynote/invited speeches at international conferences over the last eight years. He has attracted 12 ARC grants of $4.7M. He has supervised 30+ PhD students in completion. He received NSW State Science and Engineering Award in Engineer and ICT category in 2011 and also UTS Chancellor research excellence award in Research Leadership category in 2011.
Prof. Zhang is a Fellow of the Australian Computer Society (ACS) and a Senior Member of the IEEE Computer Society (IEEE). He had been serving ARC as an ARC College of Expert from 2012 to 2014. He has been the Chair of the Australian Computer Science National Committee on Artificial Intelligence from 2005 till now. He was General Co-Chair of PAKDD 2014, WI/IAT 2018, and ICDM 2010. He is the General Co-Chair of KDD 2015 and he is also Local Arrangements Chair of IJCAI 2017.
报告内容摘要：
This talk consists of two parts: Part-1 is about the research methodology. The key idea is about how to balance among “Learn”, “Think”, “Do”, and “Write”. Part-2 is the case study about what is a good paper writing. This talk is for my personal view only to trigger further discussion about research.