Faculty

Dionne M. Aleman, PhD, P.Eng.

Associate Professor, Industrial Engineering

Research: Medical applications of operations research; radiotherapy treatment optimization, pandemic planning; data mining to improve bone marrow transplant outcomes; global optimization; heuristic design; parallel computing.

Laboratory: Medical Operations Research Lab (morLAB)

Email: aleman@mie.utoronto.ca | Tel: 416-978-6780 | Office: MC321

Research Areas

  1. Operations Research
  2. Biomedical Engineering

Biosketch

Dionne Aleman is an Associate Professor in the Department of Mechanical & Industrial Engineering at the University of Toronto. She received her PhD in Industrial and Systems Engineering from the University of Florida (2007), MSc from the University of Florida (2006), and BSc from the University of Florida (2003).

Dr. Aleman's research interests are in the application of operations research to medical and healthcare systems. This research includes using mathematical optimization models to design radiation therapy treatment plans, using agent-based simulation to predict the spread of a pandemic disease in an urban population, using graph theory to determine vaccination priorities during a pandemic, and using optimization and simulation to improve hospital surgical scheduling. Dr. Aleman has held grants from NSERC, CFI, ORF, and NSF for her research. Within the Canadian Operational Research Society (CORS), she is the Vice President/President-Elect and a past Secretary of CORS Council, and the Secretary of the Health Care Operations Research Special Interest Group. Within the Institute for Operations Research and Management Science (INFORMS), she is the President of the Public Sector OR Section, and she is a past Chair of the Health Applications Society (HAS) and past President of the Junior Faculty Interest Group (JFIG). Dr. Aleman is also a Topical Editor for the Wiley Encyclopedia of Operations Research and Management Science, Associate Editor for IIE Transactions on Healthcare Systems Engineering, Associate Editor for the International Journal of Biomedical Data Mining, and Editorial Board Member of Operations Research in Health Care.

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. Information Engineering
  2. Operations Research

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. Biomedical Engineering
  2. Operations Research

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.

Daniel M. Frances, PhD, P.Eng.

Associate Professor, Teaching Stream, Industrial Engineering

Research: Application of simulation techniques to health care and manufacturing; Ontario electricity market; interfaces between operations research and information systems.

Email: frances@mie.utoronto.ca | Tel: 416-946-7435 | Office: MC318

Research Areas

  1. Operations Research

Biosketch

After obtaining a PhD from MIE in 1974, joined University of Manitoba as an Assistant Professor. In 1976, he moved back to Toronto and joined Ontario Hydro (predecessor of Hydro One, Ontario Power Generation, and IESO), developing and implementing various Operations Research models, and later managing the groups responsible, for improved operation of the Ontario Power System, including non-linear network optimization models, and database models. Upon joining MIE, Dr. Frances taught various courses in the OR and Information Systems areas, as well as consulting assignments with various organizations including OPG, Hatch, Pratt & Whitney, Canadian Blood Services and Victoria Order of Nurses.
Andrew K.S. Jardine, PhD, P.Eng., CEng, FCAE, FIIE, FISEAM (Hon.)

Professor Emeritus, Industrial Engineering

Research: Manufacturing; operations research; Centre for Maintenance Optimization and Reliability Engineering (C-MORE), industry-guided real-world research for optimal asset management.

Email: jardine@mie.utoronto.ca | Tel: 416-978-2921 | Office: BA8132

Research Areas

  1. Operations Research

Biosketch

Dr. Andrew K.S. Jardine is Founding Director of the Centre for Maintenance Optimization & Reliability Engineering (C-MORE). He is author of economic life software AGE/CON and PERDEC, licensed to organizations in the transportation, mining, electrical utilities, and process industries, and author of OREST software used for optimizing component preventive replacement decisions and forecasting demand for spare parts. In addition to writing software, C-MORE has developed and commercialised two software packages: EXAKT for the optimization of condition based maintenance decisions and SMS for optimization of stock holding policies for slow-moving expensive capital spares

Dr. Jardine is a prolific researcher and advocate of advances in maintenance decision-making and reliability engineering. His views are sought after by industry, he has published numerous books and papers, and he presents his work at professional seminars and conferences worldwide. His first maintenance-related book, Maintenance, Replacement and Reliability (1973) is in its 6th printing. He is co-editor with J.D. Campbell of Maintenance Excellence: Optimizing Equipment Life Cycle Decisions (2001); the second edition was published in 2010 as Asset Management Excellence: Optimizing Equipment Life-Cycle Decisions. The second edition of the bestselling Maintenance, Replacement & Reliability: Theory and Applications(2006), co-authored with Dr. A.H.C. Tsang, appeared in 2013.

In 1998, Professor Emeritus Jardine was the first recipient of the Sergio Guy Memorial Award from the Plant Engineering and Maintenance Association of Canada in recognition of his outstanding contribution to the maintenance profession and was elected a Fellow of both the Institute of Industrial Engineers and the Canadian Academy of Engineering in 2013. In 2013 he also received the Lifetime Achievement award from the International Society for Engineering Asset Management. In 2014 he was admitted to the status of Honorary Fellow of the International Society of Engineering Asset Management.

Assistant Professor, Industrial Engineering
Director, Centre for Maintenance Optimization & Reliability Engineering (C-MORE)

Research: Stochastic models; robust/dynamic decision making; statistical learning; reliability and maintenance.

Laboratory: Centre for Maintenance Optimization & Reliability Engineering (C-MORE)

Email: mikekim@mie.utoronto.ca | Tel: 416-978-2710 | Office: BA8134

Research Areas

  1. Operations Research

Biosketch

Mike Kim holds a PhD (2012) from the University of Toronto, and was previously an NSERC Postdoctoral Fellow at the University of California Berkeley (Industrial Engineering and Operations Research) and the National University of Singapore Business School (Decision Sciences) from 2012-2014.

His research focuses on the interplay between statistical learning (i.e. learning from data) and dynamic optimization (i.e. making adaptive decisions), with applications to problems that arise in operations research, business analytics, and maintenance and reliability. His work has appeared in journals such as Operations Research and Management Science.

Mike is the director of the Centre for Maintenance Optimization and Reliability Engineering (C-MORE), which focuses on real-world research in engineering asset management.
Roy H. Kwon, PhD, LEL

Associate Professor, Industrial Engineering

Research: Mathematical optimization and its applications in logistics; supply-chain Management; financial engineering (asset allocation, option pricing); smart material design.

Email: rkwon@mie.utoronto.ca | Tel: 416-978-3274 | Office: MC320

Research Areas

  1. Operations Research

Biosketch

Roy H. Kwon is currently associate professor in the Department of Mechanical & Industrial Engineering at the University of Toronto, St. George Campus. Also, he is a member of the faculty in the Masters of Mathematical Finance (MMF) Program at U of T.

He received his PhD from the University of Pennsylvania in operations research from the Department of Electrical and Systems Engineering in 2002. His research focuses on financial engineering (portfolio optimization, asset allocation, risk management, and option pricing) and supply chain management (logistics and production control).

Dr. Kwon has published articles in such journals as Management Science, Naval Research Logistics, the European Journal of Operational Research, and Operations Research Letters, among others. In addition, he has worked and consulted in the use of operations research (optimization) for the military, financial, and service sectors.
Chi-Guhn Lee, PhD, P.Eng.

Associate 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 an associate professor in the Department of Mechanical and Industrial Engineering at the University of Toronto. He received a B.S in industrial engineering from Seoul National University, Seoul, Korea and an M.S. in industrial engineering from KAIST (Korea Advanced Institute of Science and Technology), Daejon, Korea. He received his Ph.D. from the University of Michigan, Ann Arbor and joined the University of Toronto faculty in 2001.
Viliam Makis, PhD, Dipl Ing, LEL, FISEAM

Professor, Industrial Engineering

Research: Modelling, control, and development of estimation procedures for partially observable systems subject to condition monitoring. Applications in multivariate quality control, maintenance, medical screening, production and inventory control.

Laboratories:
Quality, Reliability and Maintenance Laboratory
Vibration Monitoring, Signal Processing, and CBM Laboratory

Email: makis@mie.utoronto.ca | Tel: 416-978-4184 | Office: MC223

Research Areas

  1. Operations Research

Biosketch

Professor Viliam Makis received his PhD from Czech Academy of Sciences in Prague in 1981 and is currently working as a Professor in the Department of Mechanical & Industrial Engineering, University of Toronto.

His research and teaching interests are in stochastic modeling, quality assurance, maintenance, reliability, production and inspection control, with special focus on investigating structural properties of the optimal policies for stochastic controlled systems. His recent research contributions have been in the area of modeling, estimation, and optimal control of partially observable processes with applications in condition-based maintenance and multivariate quality control. He has authored or co-authored 72 research articles published in refereed journals, 80 papers published in Conference Proceedings, more than 100 conference presentations, 3 books as the first author, 6 chapters in books, and 8 IP Disclosures. He successfully completed his Administrative responsibilities as the Chair of the Engineering Science Option: Manufacturing Systems at the University of Toronto in 2004. He has been serving as an editorial member of several reputed journals such as Advances in Operations Research (as an Editor), ISRN Probability and Statistics (as an Editor), Central European Journal of Engineering (as an Editor, Industrial Engineering), Journal of Quality in Maintenance Engineering, and the International Journal of Performability Engineering.

Professor Makis is a senior member of the Institute of Industrial Engineers, American Society for Quality, a member of INFORMS and CORS. He was honoured as a Fellow of the International Society of Engineering Asset Management (FISEAM) in October 2011.