Charles Ling.

淩曉峰教授畢業於上海交通大學電子及計算機科學係（優異生、計算機科學技術和電子工程雙學士）。 即留學美國賓西法尼亞大學(常青藤大學)計算機與信息科學係，四年內獲得碩士和博士。 之後在加拿大西安大略大學，計算機科學係任教。(西安大略大學在加拿大一類大學中綜閤排名第三。參見CCTV 世界著名大學（見下））。 現為(終生製正)教授。

淩教授的研究主要在於開發計算機和人的智慧。包括：

機器學習，人工智能，數據挖掘及應用(金融，電子商務，股票市場), 智能係統開發

認知科學，心理學，決策論

兒童教育，素質開發，思維方法

對許多其他科學和教育領域也有深入的瞭解

淩教授在國際學術會議和期刊上發錶論文120多篇(大多可下載)。 現任IEEE TKDE, ACM TIST, Computational Intelligence等期刊副主編，全加華人協進會倫敦分會董事，北京大學國傢工程實驗室資深技術顧問, 中山大學客座教授，北京郵電大學高級訪問科學傢，等。曾任加拿大人工智能大會主席，中國微軟研究院訪問研究員，西安大略大學學生學者及中國教授協會主席，等。

淩教授在兒童教育、素質開發、思維策略等方麵做瞭大量的研究和開發。他曾在國際認知科學大會上做大會特邀報告。他在加拿大齣版語言書籍 How to Teach Your Child to Be Gifted (from Birth to 6 Years Old)《如何提高零到六歲兒童的智慧》,ISBN: 0968428908. 他編製齣版的Power Thinking《高效思維策略》由 Curriculum Services Canada (加拿大課程服務中心) 推薦使用， 已在安大略省幾百所小學采用。

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.