What is it like to be a researcher or a scientist? For young people, including graduate students and junior faculty members in universities, how can they identify good ideas for research? How do they conduct solid research to verify and realize their new ideas? How can they formulate their ideas and research results into high-quality articles, and publish them in highly competitive journals and conferences? What are effective ways to supervise graduate students so that they can establish themselves quickly in their research careers? In this book, Ling and Yang answer these questions in a step-by-step manner with specific and concrete examples from their first-hand research experience.
Table of Contents
Basics of Research
Goals of Ph.D. Research
Getting Started: Finding New Ideas and Organizing Your Plans
Conducting Solid Research
Writing and Publishing Papers
Misconceptions and Tips for Paper Writing
Writing and Defending a Ph.D. Thesis
Life After Ph.D.
About the Author(s)Charles Ling
, University of Western Ontario, Canada
Charles Ling has been a professor at the Western University in Canada since 1989. He obtained his BSc. in Computer Science from the Shanghai Jiaotong University in 1985, and then graduated with his Masters and then Ph.D. in Computer Science from the University of Pennsylvania, USA, in 1987 and 1989, respectively. He specializes in data mining and machine learning, and their applications in Internet, business, healthcare, and bioinformatics. Overall, he has published over 120 research papers in peer-reviewed conferences and journals. Charles Ling has also engaged in much professional service in the above areas. He has been an associate editor for several top journals and an organizer for several top conferences in computer science. He is also a Senior Member of IEEE and a Lifetime Member of AAAI (Association of Advancement of Artificial Intelligence). Charles Ling is the director of the Data Mining and Business Intelligence Lab at Western University, where has been involved in several technology transfer projects. Charles Ling is also a specialist in child gifted education. He integrates his research in Artificial Intelligence and cognitive science, and develops a full range of thinking strategies that improve children's intellectual abilities. These thinking strategies embrace, enhance, and connect with math, science, and other areas. Qiang Yang
, Hong Kong University of Science and Technology
Qiang Yang is a professor in the Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong, China. He is an IEEE Fellow, IAPR Fellow (International Association of Pattern Recognition) and an ACM Distinguished Scientist, for his contributions to Artificial Intelligence and Data Mining, which are also his research interests. Qiang Yang graduated from Peking University in 1982 with BSc. degree in Astrophysics, and obtained his PhD degree in Computer Science from the University of Maryland, College Park, in 1989. He was an assistant and then associate professor at the University of Waterloo, Canada between 1989 and 1995, and an associate and then a full professor and NSERC Industrial Research Chair at Simon Fraser University in Canada from 1995 to 2001. He is an author of two books and over 300 publications on AI and data mining. His research teams won several prestigious international competitions on data mining. He was an invited speaker at several top conferences, and a founding Editor in Chief of an ACM journal (ACM TIST), as well as an editor for several top journals. He has also been an organizer for some top conferences in computer science. Besides academic research, he has engaged in several industrial projects with IT companies, and been sitting on several research grant panels. In his spare time, he enjoys sports, reading and traveling.