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. 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.

Professor, Industrial Engineering

Research: Human factors approaches to information technology; mobile computing; healthcare ergonomics; social computing; advanced user interface design; smart internet and personal web. Applications to healthcare and e-commerce.

Laboratory: Interactive Media Lab

Email: chignell@mie.utoronto.ca | Tel: 416-978-8951 | Office: BA8171A

Research Areas

  1. Human Factors/Ergonomics
  2. Information Engineering

Biosketch

Mark Chignell has been a member of the Mechanical & Industrial Engineering faculty since 1990. Prior to that he was an Assistant Professor in Industrial and Systems Engineering at the University of Southern California from 1984 to 1990. Professor Chignell taught in the Psychology Department at Monash University in Melbourne, Australia from 1980 to 1982. He has a PhD in Psychology (University of Canterbury, New Zealand, 1981), and an MS in Industrial and Systems Engineering (Ohio State, 1984). He is currently the Director of the Knowledge Media Design Institute at the University of Toronto, and the BUL Chair in Human Computer Interaction. He has been a visiting scientist at the IBM Centre for Advanced Studies in Toronto since 2002 and he was a visiting scientist at Keio University from 2005 to 2010.

Professor Chignell has co-authored books on expert systems and intelligent databases (published by John Wiley & Sons) and he has co-edited three books. He has many journal and conference papers on topics such as hypertext and information retrieval, user interface design and healthcare applications. His research has been funded by the Bell University Laboratories, the National Sciences and Engineering Research Council (NSERC), IBM, the Ontario Centres of Excellence (OCE), the Japan Society for the Promotion of Science, TELUS, Oki Corporation, Ricoh Corporation, and Apple Computer. He has founded two start-up companies, and currently runs Vocalage Inc., a high tech consulting and product development firm.

Associate Professor, Industrial Engineering

Research: Data management and the web; big data and analytics; linked data on the web; data visualization; information retrieval; data modelling; business process engineering; privacy and healthcare data management; autonomic systems.

Email: consens@mie.utoronto.ca | Tel: 416-946-8851 | Office: BA8128

Research Areas

  1. Information Engineering

Biosketch

Mariano Consens received his PhD and MSc degrees in Computer Science from the University of Toronto. He also holds a Computer Systems Engineer degree from the Universidad de la Republica, Uruguay. Professor Consens has over 60 publications, including journal publications selected from best conference papers and several patents.

Professor Consens has been a faculty member in Information Engineering in the Department of Mechanical & Industrial Engineering, University of Toronto, since 2003. Before that, he was research faculty member at the School of Computer Science, University of Waterloo, from 1994 to 1999. In addition, he has been active in the software industry as a founder, director, and CTO of a couple of software start-ups. He was as a Visiting Scientist at Yahoo! Research during his sabbatical, and is currently a Visiting Scientist at the IBM Center for Advanced Studies in Toronto.
Mark S. Fox, PhD, LEL, FAAAI, FEIC, Distinguished Professor of Urban Systems Engineering

Professor, Industrial Engineering
Professor of Industrial Engineering and Computer Science, Direct of Centre for Social Services Engineering

Research: Application of Ontologies and Constraint-Directed Reasoning to the modelling, analysis and operation of urban systems.

Laboratory: Enterprise Integration Laboratory (EIL)

Email: msf@mie.utoronto.ca | Tel: 416-978-6823 | Office: BA8114

Research Areas

  1. Information Engineering

Biosketch

Dr. Fox received his BSc in Computer Science from the University of Toronto in 1975, and his PhD in Computer Science from Carnegie Mellon University in 1983. In 1979 he was a founding member of the Robotics Institute of Carnegie Mellon University as well as the founding Director of the Intelligent Systems Laboratory within the Institute. He co-founded Carnegie Group Inc. in 1984, a software company that specialized in Artificial Intelligence-based systems for solving engineering, manufacturing, and telecommunications problems, and was its Vice-President of Engineering and President/CEO. Carnegie Mellon University appointed him Associate Professor of Computer Science and Robotics in 1987 (with tenure in 1991). In 1988 he was the founding Director of the Center for Integrated Manufacturing Decision Systems at Carnegie Mellon. In 1991, Dr. Fox returned to the University of Toronto where he was appointed the NSERC Research Chairholder in Enterprise Integration, and Professor of Industrial Engineering and Computer Science. In 1992, he was appointed Director of the Collaborative Program in Integrated Manufacturing. In 1993, Dr. Fox co-founded and was CEO Novator Systems Ltd., a pioneer in E-Retail software and services. From 1994-98 is represented Canada on the Intelligent Manufacturing Systems Global Program Scientific Committee. In 2013 he was appointed a Senior Fellow of the Global Cities Institute at the University of Toronto, and an Academic Advisor to the iCity Lab, Singapore Management University.
In 2014, he was the founding director of the Centre for Social Services Engineering in the Faculty of Applied Sciences and Engineering who goal is to apply engineering principles to the design and delivery of social services to the vulnerable in our society.In 2015 he was named a University of Toronto Distinguished Professor of Urban Systems Engineering.

Dr. Fox's early research pioneered the application of Organization Theory to the design of distributed systems, contributing to the formation of multi-agent systems and Coordination Theory. His scheduling research resulted in the creation of the field of Constraint-Directed Scheduling within Artificial Intelligence, and several commercially successful scheduling systems and companies. He also pioneered the application of Artificial Intelligence to project management, simulation, and engineering design. He was the designer of one of the first commercial industrial applications of expert systems: PDS/GENAID, a steam turbine and generator diagnostic system for Westinghouse, which was a recipient of the IR100 in 1985 and is still in commercial use today at Siemens, monitoring over 1000 turbines and generators worldwide. He was the co-creator of the Knowledge Representation SRL from which Knowledge Craft™, a commercial knowledge engineering tool, was derived, and KBS, from which several commercial knowledge-based simulation tools, including Simulation Craft™, were derived. He co-developed the primary methodology used globally for designing ontologies based on Competency Questions. He led the well-known TOVE project that developed ontologies for modelling the structure, resources and behaviour of enterprises. His current research focuses on the ontologies and common-sense reasoning, and their application to Smart Cities. He has developed ontologies for the representation of city information and knowledge that are being adopted by cities around the world.

Dr. Fox was elected a Fellow of Association for the Advancement of Artificial Intelligence (AAAI) in 1991, a Joint Fellow of the Canadian Institute for Advanced Research and PRECARN in 1992, a Fellow of the Engineering Institute of Canada in 2009, and a recipient of the CP Rail Medal in 2011. He is a past AAAI councillor, and co-founder of the AAAI Special Interest Group in AI in Manufacturing. Dr. Fox has published over 200 papers.

Associate Professor, Industrial Engineering

Research: Ontologies; semantic integration; process modelling; enterprise integration; semantic web; knowledge representation; mathematical logic.

Laboratory: Semantic Technologies Laboratory

Email: gruninger@mie.utoronto.ca | Tel: 416-946-8853 | Office: BA8122

Research Areas

  1. Information Engineering

Biosketch

Michael Grüninger is an Assistant Professor at the University of Toronto. He returned to Canada after spending five years as an Assistant Research Scientist in the Institute for Systems Research at the University of Maryland College Park and also a Guest Researcher at the National Institute for Standards and Technology (NIST).
Before that, Michael was a Senior Research Scientist in the Enterprise Integration Laboratory of the Department of Mechanical and Industrial Engineering at the University of Toronto. Michael received his Ph.D. and M.Sc. in Computer Science at the University of Toronto and his B.Sc. in Computer Science at the University of Alberta.

His current research focuses on the design and formal characterization of theories in mathematical logic and their application to problems in manufacturing and enterprise engineering. His most recent work on the Process Specification Language has been published as an International Standard (ISO 18629).
Susan McCahan, PhD, P.Eng.

Professor, Mechanical Engineering
Vice-Provost, Innovations in Undergraduate Education

Research: Design of the engineering learning environment for accessibility and
inclusivity; Universal instructional design; Conceptualizing the learning environment as an information system.

Laboratory: Engineering Learning Environment Design Group

Email: mccahan@mie.utoronto.ca | Tel: 416-978-0490 | Office: BA1007

Research Areas

  1. Information Engineering
  2. Human Factors/Ergonomics

Biosketch

Susan McCahan is currently the Vice Dean, Undergraduate in the Faculty of Applied Science & Engineering at the University of Toronto. She joined the Department of Mechanical & Industrial Engineering at Toronto in 1992. From 2006 to 2011 she served as Chair of First Year for the Faculty. Her research area is energy systems and engineering education. She is a Fellow of the American Association for the Advancement of Science in recognition of contributions to engineering education has been the recipient of several major teaching awards including the 3M National Teaching Fellowship and the Medal of Distinction in Engineering Education from Engineers Canada. She was also part of the team of instructors that received the Alan Blizzard Award for collaborative teaching in 2007. She has developed and taught courses on energy systems, heat transfer, and combustion. Professor McCahan's current research focuses on the design of the engineering education environment.

Assistant Professor, Industrial Engineering

Research: Machine Learning and Large-scale Data Analysis, Artificial Intelligence (AI), Information Retrieval, Social Media, Recommender Systems, Sequential Decision Optimization, Operations Research, Smart Cities Applications.

Laboratory: Data-Driven Decision Making Lab (D3M)

Email: ssanner@mie.utoronto.ca | Tel: 416-978-4871 | Office: BA8104

Research Areas

  1. Information Engineering

Biosketch

Scott Sanner is an Assistant Professor in the Department of Mechanical & Industrial Engineering. Previously Scott was an Assistant Professor at Oregon State University and before that he was a Principal Researcher at National ICT Australia (NICTA) and Adjunct Faculty at the Australian National University. Scott earned a PhD in Computer Science from the University of Toronto (2008), an MS in Computer Science from Stanford University (2002), and a double BS in Computer Science and Electrical and Computer Engineering from Carnegie Mellon University (1999). Scott's research spans a broad range of topics from the data-driven fields of Machine Learning and Information Retrieval to the decision-driven fields of Artificial Intelligence and Operations Research. Scott has applied the analytic and algorithmic tools from these fields to diverse application areas such as recommender systems, interactive text visualization, and Smart Cities applications including transport optimization. Scott has served as Program Co-chair for the 26th International Conference on Automated Planning and Scheduling (ICAPS), member of the Editorial Board for the Artificial Intelligence Journal (AIJ) and the Machine Learning Journal (MLJ), and Electronic Editor for the Journal of Artificial Intelligence Research (JAIR). Scott was a co-recipient of the 2014 AIJ Prominent Paper Award.
Li Shu, PhD, P.Eng.

Professor, Mechanical Engineering

Research: Creativity in conceptual design; Systematic identification and application of biological analogies in biomimetic (biologically inspired) design; Identifying and overcoming obstacles to personal environmentally significant behavior.

Laboratory: SHUlab

Email: shu@mie.utoronto.ca | Tel: 416-946-3028 | Office: MC420

Research Areas

  1. Human Factors/Ergonomics
  2. Energy and Environmental Engineering
  3. Information Engineering
  4. Applied Mechanics and Design

Biosketch

Professor Shu obtained graduate degrees in Mechanical Engineering from MIT in the fields of human-computer interaction in computer-aided design (SM) and design for remanufacture as an approach to environmentally responsible product design (PhD). Professor Shu’s current research focus is designing products that enable environmentally conscious (also known as pro-environmental or sustainable) behavior in consumers.

Professor Shu is active in the American Society of Mechanical Engineers (ASME), serving as the DTM (Design Theory and Methodology) Committee Chair in 2009, DTM Conference Chair in 2008, and DTM Program Chair in 2007. Professor Shu is a fellow of the CIRP (International Academy for Production Engineering Research), and was awarded the CIRP F.W. Taylor Medal Award in 2004. Professor Shu also served on the Advisory Board of the Design Society from 2003-2009 and is on the advisory board/program committee for several international design conferences and editorial board for several journals.

Professor Shu has spent research stays at AlliedSignal Aerospace Canada Inc., in Etobicoke, Ontario; Eastman Kodak Company, Rochester, New York; Naval Ocean Systems Center, San Diego, California; Naval Training Systems Center, Orlando, Florida; and the Technical University of Denmark.