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Experience Sharing: How to Conduct Research
Speaker: Dr. Raymond Chi-Wing WONG Department of Computer Science and Engineering The Hong Kong University of Science and Technology Title: "Experience Sharing: How to Conduct Research" Date: Monday, 14 April 2014 Time: 4:00pm - 5:00pm Venue: Lecture Theater F (near lifts 25/26), HKUST Abstract: In this talk, I will share my own experience on how to conduct research. There are a lot of important elements for conducting research. The first element is presentation. It is very important to express your new ideas clearly to researchers in the world. The second element is reading which is a way to understand the literature well. The third element is topic finding which helps you identify your own topic you should work on. The fourth element is technical skills which help you develop noveland interesting methods for the topic that you are working on. This seminar belongs to the course series COMP 6770: Professional Development in Computer Science and Engineering ***************** Biography: Raymond Chi-Wing Wong is an Assistant Professor in Computer Science and Engineering (CSE) of The Hong Kong University of Science and Technology (HKUST) and an Associate Director of Computer Engineering of The Hong Kong University of Science and Technology (HKUST). He received the BSc, MPhil and PhD degrees in Computer Science and Engineering in the Chinese University of Hong Kong (CUHK) in 2002, 2004 and 2008, respectively. In 2004-2005, he worked as a research and development assistant under an R&D project funded by ITF and a local industrial company called Lifewood. He received 21 awards. He published 46 conference papers (e.g., SIGMOD, SIGKDD, VLDB, ICDE and ICDM), 20 journal/chapter papers (e.g., TODS, DAMI, TKDE, VLDB journal and TKDD) and 1 book. He reviewed papers from conferences and journals related to data mining and database. He is a program committee member of conferences, including SIGMOD, VLDB, ICDE, KDD, ICDM and SDM, and a referee of journals, including TODS, VLDBJ, TKDE, TKDD, DAMI and KAIS. His research interests include database and data mining.