Our People - Adjunct Professors

Degrees

• Ph.D., Deep Learning & Natural Language Processing, Carleton University

Publications

Ehsan Amjadian on Google Scholar

Dr. Amjadian is the Head of Data Science at the Royal Bank of Canada, where he has led numerous advanced AI products from ideation to production and has filed multiple patents in the areas of Data Protection, Finance & Climate, and Computer Vision applications to Satellite Images. 

• D.Sc. (honoris causa), University of Guelph (2011)
• Ph.D., University of Waterloo (1965)
• M.Sc., University of Waterloo (1961)
• B.A.Sc., University of Toronto (1960)

• Software engineering methods for constructing and verifying advanced software systems and applications
• Development of advanced software systems and applications incorporating novel database systems and artificial intelligence components

Donald Cowan Publications

Degrees

• MASc, University of Waterloo
• BASc, University of Waterloo

• Ph.D., University of Western Ontario (1979)
• M.Sc., Australian National University, Australia (1977)
• B.Sc., University of Western Ontario (1975)

• Computational finance
• Machine learning methods for optimal stochastic control in finance

Peter Forsyth on Google Scholar

Srinivasan Keshav is the Robert Sansom Professor of Computer Science in the Department of Computer Science and Technology at the University of Cambridge and a Fellow of Fitzwilliam College. Previously, he was a Professor at the David R. Cheriton School of Computer Science.

Although he started out as a researcher in computer networking in 1988, since 2010 his focus has been on reducing the carbon footprint of energy generation, transportation, and buildings. For the past couple of years, he also worked on improving the performance of the Hyperledger Fabric blockchain so that it can be used as the foundation for highly-scalable energy systems, such as for transactive energy and renewable energy certificates. 

He has recently turned his attention to the carbon sequestration and biodiversity potential of forests, looking at both conservation and restoration.

• Ph.D., University of Toronto (1986)
• M.Math., University of Waterloo (1982)
• B.Sc., University of Toronto (1979)

• Algorithms, specifically computation geometry, graph algorithms and graph drawing
• Current topics include reconfiguration, triangulations of planar point sets, shortest path algorithms, and folding and unfolding problems

Anna Lubiw on Google Scholar

Feature article

University Professor Ian Munro’s Golden Jubilee — 50 years at the University of Waterloo

Degrees

• PhD, Computer Science, University of Toronto (1971)
• MSc, University of British Columbia

• BA, University of New Brunswick

Research interests

• Data structures, particularly fast and space-efficient structures
• Design, analysis and implementation of algorithms
• Database systems and data warehousing, particularly efficiency issues

Publications

Ian Munro on Google Scholar

Ian Munro on DBPL

• Ph.D., University of Waterloo (1981)
• M.Sc., Ohio State University, United States (1980)
• B.Math., University of Waterloo (1978)

• Cryptography and security: unconditionally secure cryptographic protocols, including secret sharing and authentication
• Combinatorics: construction and analysis of combinatorial designs, error correcting codes, orthogonal arrays
• Algorithms: algorithms to construct and analyze combinatorial structures

Doug Stinson on Google Scholar

• LL.D., Dalhousie University (2013)
• Ph.D., University of Toronto (1974)
• M.Sc., Brown University, United States (1970)
• B.Sc., Brown University, United States (1970)

• Database dependency theory, storage structure selection, query processing, materialized view maintenance, database integration, data retention, and access control
• Text management systems, text matching, XML processing, information retrieval, structured text conversion, and text classification
• Mathematics (text and formula) information retrieval

Frank Tompa on DBLP

• Ph.D., University of Waterloo (1990)
• M.Math., University of Waterloo (1986)
• B.Sc., University of British Columbia (1984)

• Artificial intelligence with a focus on representation and reasoning, constraint programming, constraint satisfaction, backtracking algorithms, planning, scheduling, combinatorial optimization, applied machine learning, probabilistic reasoning, and applications of artificial intelligence
• A recent additional interest is algorithms and techniques in computational photography

Peter van Beek Publications