Suggestions
Stan Matwin
Dalhousie University
Stan Matwin is a distinguished professor and researcher in the field of computer science, specializing in artificial intelligence, machine learning, and big data analytics. He currently serves as the Director of the Institute for Big Data Analytics at Dalhousie University in Halifax, Nova Scotia, Canada.12
Academic Background and Positions
Dr. Matwin holds a Ph.D. from Warsaw University (1977) and a D.Sc. (habilitation) from the Polish Academy of Sciences (2010).1 His academic career includes:
- Professor and Canada Research Chair (Tier 1) in Visual Text Analytics at Dalhousie University1
- Distinguished University Professor at the University of Ottawa (on leave)3
- Professor at the Institute of Computer Science of the Polish Academy of Sciences2
Throughout his career, he has worked at universities in the United States, Europe, and Latin America.3
Research and Expertise
Stan Matwin is internationally recognized for his work in:
- Text mining and text analytics
- Applications of machine learning
- Data privacy
- Big data analytics
He has authored and co-authored more than 250 research papers.13
Leadership and Honors
Dr. Matwin has held several leadership positions and received notable honors:
- Director of the Institute for Big Data Analytics at Dalhousie University1
- Former president of the Canadian Artificial Intelligence Association (CAIAC)3
- Former president of the IFIP Working Group 12.2 (Machine Learning)3
- Fellow of the European Coordinating Committee on Artificial Intelligence1
- Fellow of the Canadian Artificial Intelligence Association1
- Ontario Champion of Innovation1
Industry Experience
In addition to his academic work, Stan Matwin has significant experience in innovation and technology transfer. He is one of the founders of Distil Interactive Inc. and Devera Logic Inc.13
Dr. Matwin's extensive experience, research contributions, and leadership roles have established him as a prominent figure in the fields of artificial intelligence, machine learning, and big data analytics.