Charles Ling.

凌晓峰教授毕业于上海交通大学电子及计算机科学系（优异生、计算机科学技术和电子工程双学士）。 即留学美国宾西法尼亚大学(常青藤大学)计算机与信息科学系，四年内获得硕士和博士。 之后在加拿大西安大略大学，计算机科学系任教。(西安大略大学在加拿大一类大学中综合排名第三。参见CCTV 世界著名大学（见下））。 现为(终生制正)教授。

凌教授的研究主要在于开发计算机和人的智慧。包括：

机器学习，人工智能，数据挖掘及应用(金融，电子商务，股票市场), 智能系统开发

认知科学，心理学，决策论

儿童教育，素质开发，思维方法

对许多其他科学和教育领域也有深入的了解

凌教授在国际学术会议和期刊上发表论文120多篇(大多可下载)。 现任IEEE TKDE, ACM TIST, Computational Intelligence等期刊副主编，全加华人协进会伦敦分会董事，北京大学国家工程实验室资深技术顾问, 中山大学客座教授，北京邮电大学高级访问科学家，等。曾任加拿大人工智能大会主席，中国微软研究院访问研究员，西安大略大学学生学者及中国教授协会主席，等。

凌教授在儿童教育、素质开发、思维策略等方面做了大量的研究和开发。他曾在国际认知科学大会上做大会特邀报告。他在加拿大出版语言书籍 How to Teach Your Child to Be Gifted (from Birth to 6 Years Old)《如何提高零到六岁儿童的智慧》,ISBN: 0968428908. 他编制出版的Power Thinking《高效思维策略》由 Curriculum Services Canada (加拿大课程服务中心) 推荐使用， 已在安大略省几百所小学采用。

Qiang Yang

Research Interests:

Data Mining: Transfer Learning, Social Media and Web Mining, Mobile Data Mining.

Artificial Intelligence: Automated Planning, Machine Learning, Activity Recognition, and Case-based Reasoning

Positions and Education:

Professor (2007 - ) and Associate Head (PG and Research) at Department of Computer Science and Engineering, HKUST (2011 - )

B.Sc. (1982) Astrophysics at Peking University, Beijing, China (Alumnus of the CUSPEA program in 1982)

M.Sc. (1985) Astrophysics, University of Maryland, USA

M.Sc. (1987) Computer Science, University of Maryland, USA

PhD (1989) Computer Science, University of Maryland, USA

IEEE Fellow (2009 - , for contributions to understanding and application of intelligent planning, learning and data mining).

ACM Distinguished Scientist (2011 - , Link to ACM), AAAI Member, AAAS Member

Professor at Simon Fraser University, Canada (2001)

Associate Professor and NSERC Industry Research Chair at Simon Fraser University, Canada (1995 - 2001)

Assistant/Associate Professor, Computer Science, University of Waterloo, Canada (1989-1995)

Visiting Researcher at Microsoft Research China (1999 to 2000) and University of Washington, USA (2000)

Founding Co-Director of RMBI Program at HKUST (2007-2011)

Postgraduate Director at HKUST (2007-2009 and 2011 Summer)

Laboratory Affiliations: AI and Databases

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.