1. Professional Summary
Stan Matwin is an internationally recognized artificial intelligence and machine learning researcher with extensive contributions in machine learning, data mining, text analysis, privacy-preserving data mining, and electronic commerce technologies. His work spans foundational research, editorial leadership, international conference organization, and multiple professional roles in AI communities.
He has authored/co-authored 200+ research publications and held research and faculty positions in Canada, the U.S., Europe, and Latin America.
2. Education
Ph.D., Computer Science, University of Warsaw, Poland, 1977.
M.Sc., Computer Science, University of Warsaw, Poland, 1972.
D.Sc. (Habilitation), Computer Science, Polish Academy of Sciences, 2010.
State Professorship, Republic of Poland, 2012.
3. Professional Experience
Distinguished University Professor Emeritus, School of Electrical Engineering and Computer Science, University of Ottawa (since 2011).
Director, Institute for Big Data Analytics, Dalhousie University (Canada).
Foreign Professor, Institute of Computer Science, Polish Academy of Sciences.
Visiting Professor, numerous institutions including Universitat Politecnica de Catalunya (Spain), Université Paris VI & XI (France), and others.
Early academic posts in Canada (University of Guelph, Acadia University) and Poland (Warsaw University).
4. Research Interests
Stan Matwin’s research spans:
Machine Learning & Data Mining
Text Mining and Text Analytics
Pattern Recognition & Imbalanced Data Learning
Natural Language Processing
Privacy-Preserving Data Mining
Big Data Analytics
Electronic Commerce and E-Business Technologies
5. Honors & Professional Roles
Fellow, European Coordinating Committee for Artificial Intelligence (ECCAI / EurAI).
Fellow & Distinguished Service Award, Canadian Artificial Intelligence Association (CAIAC).
Former President, Canadian Society for the Computational Studies of Intelligence (CSCSI).
Former President, IFIP Working Group 12.2 (Machine Learning).
Ontario Champion of Innovation Award.
Editorial board member for journals such as Machine Learning Journal, Computational Intelligence Journal, Intelligent Data Analysis, and Journal of Artificial Intelligence Research.
6. Scholarly Output
200+ research papers in top conferences and journals in AI, data mining, and machine learning.
Numerous influential articles on learning from imbalanced data, privacy in data mining, and automated text classification.
Co-editor or author of multiple edited volumes and conference proceedings.
7. Professional Service
Program committee chair/area chair for major conferences (e.g., AAAI, ECML, SIGKDD).
Chair of NSERC Grant Selection Committee for Computer Science.
Board member, Communications and Information Technology Ontario (CITO)