Roy H. Kwon

PhD, LEL

Professor, Industrial Engineering

Email: rkwon@mie.utoronto.ca
Tel: 416-978-3274
Office: MC320
Research Group: Financial Optimization and Risk Management (FORM) Laboratory

Research Area

Operations Research

Research Interests

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

Bio

Roy H. Kwon is a 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.

Janet Lam

PhD, B.Math, B.B.A

Assistant Professor, Teaching Stream, Industrial Engineering

Email: janet@mie.utoronto.ca
Tel: 416-978-2890
Office: MC306A

Research Areas

Operations Research

Engineering Education

Research Interests

Physical asset management; reliability and maintenance; student motivation and identity; teaching in higher education

Bio

Janet Lam is an Assistant Professor, Teaching Stream in operations research with the Department of Mechanical and Industrial Engineering.

She has been working in the field of maintenance optimization since 2008, with an emphasis on optimal scheduling of inspections for condition-based maintenance.

Janet served as a research associate at the Centre for Maintenance Optimization and Reliability Engineering (C-MORE) applying academic research directly with industry partners, including those in mining, utilities, transportation, and the military. Janet has a track record of cultivating strong relationships with industry partners and developing maintenance engineering resources that are both useful and current.

She is also a respected engineering educator with more than 10 years of teaching undergraduate, graduate, and professional students. She was a Teaching Specialist for first year engineering students at Michigan State University from 2016 to 2017. She is a Fellow of the National Effective Teaching Institute and a Runner-Up Best Upper Year Instructor in the Skule Student Choice awards 2020-2021.

Janet received her Ph.D. in Industrial Engineering at the University of Toronto, her B.Math in Operations Research at the University of Waterloo and her B.B.A. from Wilfrid Laurier University.

Chi-Guhn Lee

PhD, P.Eng.

Professor, Industrial Engineering

Email: cglee@mie.utoronto.ca
Tel: 416-946-7867
Office: MC322
Research Group: Dynamic Optimization & Operations Management Laboratory

Research Areas

Operations Research
Applied Machine Learning

Research Interests

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.

Bio

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.

Patrick C. Lee

PhD

Associate Professor, Mechanical Engineering

Email: patricklee@mie.utoronto.ca
Tel: 416-946-5407
Office: MC311
Research Group: Multifunctional Composites Manufacturing Laboratory (MCML)

Research Areas

Materials
Thermofluids

Research Interests

Multiphase nano-structured lightweight and smart hybrid polymer foam materials; Micro-/nano-layer coextrusion foam manufacturing; fundamental understanding of foaming phenomena; computational modelling of foaming; super high R value foams; conductive foams; sound insulation foams.

Bio

Dr. Patrick Lee, PhD, PEng is an Associate Professor in the Department of Mechanical & Industrial Engineering (MIE) at the University of Toronto. He received his B.Sc. degree in Mechanical Engineering from the University of British Columbia, and then obtained his M.A.Sc. and Ph.D. in Mechanical Engineering from the University of Toronto in 2001 and 2006, respectively.  Then he pursued Postdoctoral study in the Department of Chemical Engineering and Materials Science at the University of Minnesota.  Dr. Lee began his professional career at The Dow Chemical Company in 2008.  He was a Research Scientist and Project Leader in Dow’s Research and Development organization. Dr. Lee joined the Department of Mechanical Engineering at The University of Vermont as an assistant professor in 2014. Since joining UVM, he created his own research platform on the lightweight and smart composite structures.  He joined the Department of Mechanical and Industrial Engineering at The University of Toronto starting July 1st, 2018.

Dr. Lee’s research areas focus on polymer foam processing and characterization, and processing-structure-property relationships of nano-composites.  He has 61 journal papers, over 100 refereed conference abstracts/papers, 2 book chapters, and 20 filed/issued patent applications. He is the PI or co-PI on domestically and internationally awarded grants from various government agencies and industries. Among his honors, Dr. Lee received the G.H. Duggan Medal from Canadian Society for Mechanical Engineering (CSME) in 2020, the AKCSE Early Achievement Award in 2019, the US National Science Foundation Early Faculty Career Development Award (NSF CAREER) in 2018, the Polymer Processing Society (PPS) Morand Lambla award in 2018, the Hanwha Advanced Materials Non-Tenured Faculty Award in 2017, and 3 best paper awards from the Society of Plastics Engineer (2005, 2 in 2011).

Xinyu Liu

PhD, P.Eng., FEIC, MEASA, FCSME, FASME

Professor, Mechanical Engineering
Percy Edward Hart Professor of Mechanical & Industrial Engineering

Email: xyliu@mie.utoronto.ca
Tel: 416-946-0558
Office: MC312
Research Group: Microfluidics and BioMEMS Lab

Research Areas

Robotics
Thermofluids

Research Interests

Microfluidics and lab-on-a-chip technologies; biosensors; bio-microelectromechanical systems (bioMEMS); point-of-care diagnostics; robotics and automation at the micro and nanoscales; soft robotics; flexible/stretchable sensors and electronics

Bio

Xinyu Liu is a Professor in the Department of Mechanical and Industrial Engineering. Prior to joining the University of Toronto, he was an Associate Professor and the Canada Research Chair in Microfluidics and BioMEMS in the Department of Mechanical Engineering at McGill University. He obtained his B.Eng. and M.Eng. from Harbin Institute of Technology in 2002 and 2004, respectively, and his Ph.D. from the University of Toronto in 2009, all in Mechanical Engineering. He then completed an NSERC Postdoctoral Fellowship in the Department of Chemistry and Chemical Biology at Harvard University in 2009–2011.

Prof. Liu’s research interests are at the interfaces of microfluidics and robotics. His research group is developing integrated micro/nano devices and systems to target a variety of exciting applications in biology, medicine, and environment. Applications of their recent technologies include point-of-care diagnostics, environmental monitoring, large-scale gene editing, and wearable and implantable sensing, and robotic rehabilitation.

His achievements have been recognized through several awards and honours, including: the elected Member of the European Academy of Sciences and Arts (EASA); Fellow of the Engineering Institute of Canada (EIC Fellow), the American Society of Mechanical Engineers (ASME Fellow), and the Canadian Society for Mechanical Engineering (CSME Fellow); Canada Research Chair in Microfluidics and BioMEMS; the Douglas R. Colton Medal for Research Excellence; the Percy Edward Hart Professorship from the University of Toronto; the Christophe Pierre Award for Research Excellence from McGill University; and the Star in Global Health Award from Grand Challenge Canada. His publications have also been recognized by the Outstanding Article Award from Materials Horizons (IF: 15.7), the Highly Cited Article Award from Microsystems & Nanoengineering (IF: 8.0), and eight Best Paper Awards at major engineering (IEEE & ASME) and biomedical (ASRM & CFAS) conferences.

Prof. Liu serves as the Corresponding Chair of the IEEE Robotics & Automation Society (IEEE-RAS) Technical Committee of Micro/Nano Robotics and Automation, and the Chair of IEEE-RAS Technical Committee Cluster on Health and Medical Robotics. He was a General Co-Chair of the International Conference on Manipulation, Automation and Robotics at Small Scales (MARSS 2022), the Awards Chair of MARSS 2017, and the Program Co-Chair of the 2018 IEEE International Conference on Real-Time Computing and Robotics. He has also served on the organizing/program committees of another 12 international conferences in IEEE and ASME. As a Senior Editor of IEEE Robotics & Automation Letters and Microsystems & Nanoengineering, he plays a key role on the senior editorial teams of the two influential journals. In 2021, he was appointed Specialty Chief Editor by Frontiers in Robotics and AI and initiated the new section of Nano and Microrobotics in the journal.

Matthew Mackay

PhD

Associate Professor, Teaching Stream, Mechanical Engineering
Wallace Chalmers Chair in Engineering Design

Email: mackay@mie.utoronto.ca
Tel: 416-978-5746
Office: MC310

Research and Teaching Interests

Embedded Systems, Mechatronics (especially Analog/Digital System Architecture, PCB Design and Layout, and Electronic Product Design), Drones and UAVs, Robotics and Automation, Mechanical Design and CAD, and Electric Vehicles.

Biosketch

Matthew Mackay is an Associate Professor, Teaching Stream in the Department of Mechanical & Industrial Engineering at the University of Toronto, specializing in teaching mechatronics, robotics, mechanical design, electronics, programming, embedded systems. Professor Mackay completed his Ph.D. in 2011 at the University of Toronto, and was hired with the department in the same year, progressing from Lecturer to Senior Lecturer (title replaced by Associate Professor) in 2015.

Professor Mackay is the recipient of both Departmental and Faculty Early Career Teaching Awards for his teaching in large technical- and design-focused courses. As Chalmer’s Design Chair, Wighton Fellowship recipient, and ongoing MIE lab coordinator, he is working to bring improved design teaching to underserved groups, and to introduce novel and engaging modes of lab delivery to our students. He currently leads the departmental effort to bring Electric Vehicle teaching to our programs. Lastly, as a technically-focused lecturer, Professor Mackay maintains close contacts with industry, particularly in engineering consulting and product design, allowing him to support ongoing design teaching efforts with cutting-edge skill-building work, industry partnerships and sponsorships, and continuous feedback.

Viliam Makis

PhD, Dipl Ing, LEL, FISEAM

Professor Emeritus, Industrial Engineering

Email: makis@mie.utoronto.ca

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

Research Area

Operations Research

Research Interests

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.

Bio

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.

Andreas Mandelis

PhD, LEL, FRSC, FCAE, FAAAS, FASME, FAPS, FSPIE

Professor, Mechanical Engineering
Canada Research Chair (Tier 1) in Diffusion-Wave Sciences and Technologies
Director, CADIFT

Email: mandelis@mie.utoronto.ca
Tel: 416-978-5106
Office: MC334
Research Group: Center for Advanced Diffusion-Wave and Photoacoustic Technologies (CADIPT)

Research Area

Thermofluids
Materials

Research Interests

Thermal and optoelectronic non-destructive techniques (thermophysics and photovoltaics); biothermophotonic and biophotoacoustic imaging science and instrumentation; cancer, dental caries, bone and blood glucose diagnostics.

Bio

Professor Andreas Mandelis is a Full Professor of Mechanical & Industrial Engineering; Electrical & Computer Engineering; and the Institute of Biomaterials & Biomedical Engineering, University of Toronto. Dr. Mandelis’ fundamental research interests are focused on studies of physical processes in condensed and biological matter as they impact instrumentation science and signal generation. Examples are thermophysics, non-radiative and radiative physics of electronic, optical and biomedical materials, photoacoustic, photothermal and diffusion-wave phenomena in manufactured, electronic, biological and photonic media. Current interests include building theoretical and experimental system foundations of biothermophotonic and biophotoacoustic transport phenomena and frequency-domain instrumentation for imaging in hard (dental, bone) and soft tissues, novel biosensors and high-performance diagnostic imaging techniques. Culminating in his work on the foundations of the field of photoacoustic and diffusion waves in matter, his applied research interests span all aspects of instrumentation and measurement development for photoacoustic, photothermal, and diffusion-wave high-precision, high-dynamic-range analytical techniques leading to advanced non-destructive (non-invasive) inspection and monitoring technologies. Current application examples are in the fields of alternative energy conversion devices (e.g. solar cells, nano-optoelectronic devices), industrial manufactured products (steels, metal composites) and biomedical and dental diagnostics with major focus on advanced dynamic imaging instrumentation.

Professor Mandelis is the Canada Research Chair (Tier 1) in Diffusion-Wave Sciences and Technologies and a Fellow in the Academy of Sciences of The Royal Society of Canada. He has been selected for the Alexander von Humboldt Professor Award twice (in 2003 and 2012). He is the 2007 (inaugural) recipient of the Ontario Premier’s Discovery Award in Science and Engineering. He received the ASME 2009 Yeram Touloukian Award (and Medal) in Thermophysics, the Senior Prize of the International Photoacoustic and Photothermal Association, and the Canadian Association of Physicists (CAP) Medal for Outstanding Achievement in Industrial and Applied Physics. In 2010 he was awarded a Killam Research Fellowship from the Canada Council for the Arts. He is the recipient of the American Physical Society’s (APS) 2012 Joseph F. Keithley Award for Advances in Measurement Science and of the CAP-INO Medal for Outstanding Achievement in Applied Photonics. In 2013 he was selected as one of 10 recipients of the 2013 University of Toronto Inventors of the Year Award. He is a Fellow of the Canadian Academy of Engineering, the APS, the SPIE, the AAAS and the ASME.

Susan McCahan

PhD, P.Eng.

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

Email: mccahan@mie.utoronto.ca
Tel: 416-978-0490
Office: Room 106, 65 St. George Street
Research Group: Engineering Learning Environment Design Group

Bio

Susan McCahan is the Vice Provost, Innovations in Undergraduate Education and Vice Provost, Academic Programs at the University of Toronto. She joined the Department of Mechanical & Industrial Engineering at Toronto in 1992. 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 has developed and taught courses on energy systems, heat transfer, and design and she is the lead author of an introductory textbook on engineering design.  Her current research focuses Engineering Education Research.  Professor McCahan’s work focuses on the engineering learning environment as a designed system.  In particular, she is currently working in the areas of assessment and educational technology.

Derek McCammond

PhD, P.Eng., FCSME

Professor Emeritus, Mechanical Engineering

Email: mccammond@mie.utoronto.ca

Research Areas

Fatigue behaviour of high strength alloys, in particular, fatigue crack growth, effects of stress biaxiality and combined high and low cycle fatigue; Static and fatigue properties of highly oriented thermoplastics; Biomechanics.

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