Faculty

Professor, Industrial Engineering

Research: Optimization; heuristic search; constraint programming; scheduling; hybrid algorithms; dynamic and uncertain problems; problem modeling.

Laboratory: Toronto Intelligent Decision Engineering Laboratory (TIDEL)

Email: jcb@mie.utoronto.ca | Tel: 416-946-8854 | Office: BA8126

Research Areas

  1. Operations Research
  2. Information Engineering

Biosketch

J. Christopher Beck is a Professor in the Department of Mechanical & Industrial Engineering at the University of Toronto. He received his PhD from the Department of Computer Science, University of Toronto in 1999 on the topic of knowledge-based heuristic search algorithms for constraint-directed scheduling. Chris then spent three years on the Scheduler Team at ILOG, SA (now part of IBM) in Paris, France, developing industrial constraint-directed scheduling software. He then was a Staff Scientist at the Cork Constraint Computation Centre in Cork, Ireland for two years. Since 2004, he has been at the University of Toronto. Professor Beck’s research interests continue to include scheduling, heuristic search, and constraint programming but have widened to include hybrid optimization combining mixed-integer programming and constraint programming, constraint integer programming, optimization under uncertainty, queueing theory, online algorithms, and multi-agent negotiation for coupled combinatorial optimization problems.

Professor Beck holds editorial positions at the Journal of Artificial Intelligence Research; Constraints (Letters Editor); Constraint Programming Letters; the Knowledge Engineering Review; and the Mathematical Programming Glossary. Chris has served as program chair or chair of four international conferences and symposia and is the President-Elect of the Executive Council for the International Conference on Automated Planning and Scheduling.
Michael W. Carter, PhD, LEL, FCAE

Professor, Industrial Engineering

Research: Healthcare human resource planning and forecasting; capacity planning; operating room planning and scheduling; wait list management; healthcare system modelling; patient flow simulation; cancer screening capacity; clinic planning.

Email: mike.carter@utoronto.ca | Tel: 416-978-8661 | Office: RS311D

Research Areas

  1. Operations Research
  2. Biomedical Engineering

Biosketch

Michael Carter is a Professor in the Department of Mechanical and Industrial Engineering at the University of Toronto (since 1981) and Director of the Centre for Research in Healthcare Engineering. He received his doctorate in Mathematics from the University of Waterloo in 1980. Since 1989, his research focus has been in the area of health care resource modeling with a variety of projects in hospitals, home care, rehab, long term care, medical labs and mental health institutions. He has supervised more than 160 engineering students in over 100 projects with healthcare institutions. He currently has 17 graduate students (7 doctoral, 10 masters) working in the area. He was the winner of the Annual Practice Prize from the Canadian Operational Research Society (CORS) four times (1988, 1992, 1996 and 2009). In 2000, he received the CORS Award of Merit for lifetime contributions to Canadian Operational Research. He also received an “Excellence in Teaching” Award from the University of Toronto Student Administrative Council. He is on the editorial board for the journals “Health Care Management Science”, “Operations Research for Healthcare”, “Health Systems” and “IIE Transactions on Healthcare Systems”. He is a member of the “Nursing Effectiveness, Utilization and Outcomes Research Unit” and a mentor in the “Health Care, Technology and Place” program at the University of Toronto. He is on the Advisory Board for the Regenstreif Centre for Healthcare Engineering at Purdue University, an Adjunct Scientist with the Institute for Clinical Evaluative Sciences in Toronto and a member of the Faculty Advisory Council for the UofT Chapter of the Institute for Healthcare Improvement (IHI). He is member of the Professional Engineers of Ontario. In 2012, he was inducted as a Fellow of the Canadian Academy of Engineering and in 2013, he was inducted as a Fellow of INFORMS, the international society for Operations Research and Management Science.

Associate Professor, Industrial Engineering
Canada Research Chair in Novel Optimization and Analytics in Health
Director, Centre for Healthcare Engineering (CHE)

Research: Operations research; optimization under uncertainty; mathematical programming; probabilistic analysis of systems; applications to radiation therapy; health care operations; sustainability; sports analytics.

Laboratories:
Applied Optimization Laboratory (AOL)
Centre for Research in Healthcare Engineering (CHE)

Email: tcychan@mie.utoronto.ca | Tel: 416-946-5721 | Office: MC315

Research Areas

  1. Operations Research
  2. Biomedical Engineering

Biosketch

Timothy Chan is the Canada Research Chair in Novel Optimization and Analytics in Health, an Associate Professor in the department of Mechanical and Industrial Engineering and the Director of the Centre for Healthcare Engineering at the University of Toronto. He received his BSc in Applied Mathematics from the University of British Columbia (2002), and his PhD in Operations Research from the Massachusetts Institute of Technology (2007). Professor Chan was an Associate in the Chicago office of McKinsey and Company, a global management consulting firm (2007-2009). During that time, he advised leading companies in the fields of medical device technology, travel and hospitality, telecommunications, and energy on issues of strategy, organization, technology and operations.

Professor Chan’s primary research interests are in optimization under uncertainty and the application of optimization methods to problems in healthcare, medicine, global engineering, sustainability, and sports. He received the George B. Dantzig Dissertation Award from INFORMS (2007), an Early Researcher Award from the Ministry of Economic Development and Innovation of Ontario (2012), an Early Career Teaching Award from both the U of T Department of Mechanical and Industrial Engineering (2012) and the U of T Faculty of Applied Science & Engineering (2013), second place in the INFORMS Section on Public Programs, Service and Needs best paper competition (2012), and first place in the MIT Sloan Sports Analytics Conference research paper competition (2013). His research has been featured by the CBC, CTV News, the Toronto Star, and Canadian Business magazine.

Chi-Guhn Lee, PhD, P.Eng.

Professor, Industrial Engineering
Associate Chair of Graduate Studies

Research: Various logistics problems; sequential decision making theories; financial theories applied in manufacturing and service sectors; market-driven conflict resolution; optimal pricing; marketing; information system control and design.

Laboratory: Dynamic Optimization & Operations Management Laboratory

Email: cglee@mie.utoronto.ca | Tel: 416-946-7867 | Office: MC322

Research Areas

  1. Operations Research

Biosketch

Chi-Guhn Lee is a professor in the Department of Mechanical and Industrial Engineering at the University of Toronto. He received his Ph.D. in the area of Industrial & Operations Engineering from the University of Michigan, Ann Arbor, and joined the University of Toronto faculty in 2001. Prior to his Ph.D. studies, he spent over three years at Samsung SDS in Seoul, Korea, leading a project of re-usable OOP library for fast prototyping of system integration software. Professor Lee has done both theoretical and applied research in dynamic optimization under uncertainty. His theoretical works involve accelerated value iteration algorithm for Markov decision processes, progressive basis-function approximation for value function space, multi-variate Bayesian control chart optimization, and optimal learning using Multi-armed Bandit Model. His interest in application is diverse from supply chain optimization to financial engineering, to dynamic pricing and to healthcare optimization. In the past years, he and his team have actively adopted machine learning algorithms into their research portfolio. In particular, he is currently active in reinforcement learning, inverse reinforcement learning, and deep reinforcement learning.

Professor Lee holds positions as associate editor - Enterprise Information System and International Journal of Industrial Engineering - and serves as a member in a few editorial boards.