Charles X. Ling, PhD (U Penn), Professor Director, Data Mining and Business Intelligence Lab IEEE Senior Member Summary: Charles X. Ling earned his dual-BSc (CS and EE) from Shanghai Jiao Tong Univ in China, and both of his MSc and PhD from Computer and Information Science at Univ of Pennsylvania within four years. Since then he has been a faculty member in Computer Science at Western University. Charles aims at developing intelligences in computers and in children. He strives to answer the following interrelated questions: How to program computers to learn and improve automatically (machine learning), and how to apply machine learning to business, industries, and bioinformatics (data mining) How to make computers exhibit intelligent behaviors (cognitive science, AI) How to effectively teach children thinking strategies using research results from AI and cognitive science (child education)

Charles is an expert in data mining & machine learning, and their applications in Internet, business, health science, and bioinformatics

• NEW... GlucoGuide won the First Prize! We are developing GlucoGuide, a tablet/smartphone app for mining data from type-2 diabetic patients. It discovers personalized recommendations on lifestyle changes in diet and exercise to lower the blood sugar level in diabetic patients.
• Machine learning for search engines and IR: PAKDD12, IJCAI'11
• Semi-supervised learning (active learning, co-training): PAKDD12, ICDM09, IEEE TKDE 10, KDD08, IEEE TKDE 11, ICML06
• Cost-sensitive learning: PAKDD12, Book chapter in Encyclopedia of Machine Learning, IEEE TKDE 06 AAAI06, IEEE TKDE 05
• Bayesian learning: ICML08, JMLR 02
• Data mining, applications, etc.: ACM TIST 2011, ECML08, KDD 07 and video presentation, IJCAI 07, ICDM05, Bioinformatics 04

  Overall he has published over 120 research papers in peer-reviewed conferences and journals (many are downloadable). Also find his papers listed in DBLP here and here.

• He is Panel Co-chair of ACM SIGKDD'12 (Panel topic: Mining Big Data), Workshop Co-chair of IEEE ICDM'12, Financial Chair of IEEE ICDM 2011, PC co-Chair of AMDA'2008, Senior PC or Area Chair of past ACM SIGKDD, ACML, PAKDD, ICDM, and PC member of all major conferences in machine learning and data mining.
• He was/is an Associate Editor of IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), ACM Transactions on Intelligent Systems and Technology (ACM TIST), and Computational Intelligence Journal.
• He is a Senior Member of IEEE, and Lifetime Member of AAAI.
• As the Director of Data Mining and Business Intelligence Lab at UWO, he is leading data mining research and projects (see a picture of his group) on CRM (Customer Relationship Management), direct marketing, search engine, action mining, Bioinformatics, and so on. He has extensive industrial experience with Microsoft Research, London Life of Canada, Sun Microsystems, Royal Bank of Canada, and so on.

Always looking for creative ideas, enthusiastic collaborators, and/or diligent graduate students.

Some of my past graduate students:

• Harry H. Zhang, PhD, 1999 - 2002 (3 years). Currently Associate Professor of Computer Science at U. of New Brunswick, Canada
• Robert Yan, PhD, 2003 - 2007 (4 years). Currently IT manager in a financial company in Canada
• Jin Huang, PhD, 2002 - 2006 (4 years). Currently a manager in an IT company in Canada
• Victor S. Sheng, PhD, 2004 - 2007 (3 years). Currently Ast Professor of Computer Science at U. of Central Arkansas, USA
• Jeff Taylor, Msc, 2002 - 2004 (2 years). Currently working in an IT company in Canada
• Jianning Wang, Msc, 2002 - 2004 (1.5 years). Currently working in an US IT company

Charles is also a specialist in child education

• He integrates his research in AI 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.
• He develops "Power Thinking with Dr. Ling", a video-based program that teaches thinking strategies to elementary-school students. The program has been approved by Curriculum Services Canada, and licensed in hundreds of elementary schools in Ontario, Canada.
• He presented an invited plenary speech at the International Conference on Cognitive Science. Title: Artificial Intelligence for Improving Children's Thinking. Download the position paper here (PDF). His other related publications can be found here).
• He published an audio book How to Teach Your Child to be Gifted (From Birth to Six Years Old) (ISBN: 0968428908), 1998.
• See media coverage of his work on child education.

Mailing Address