Michael Gruninger

PhD, LEL

Professor, Industrial Engineering
Associate Chair of Undergraduate Studies

Email: gruninger@mie.utoronto.ca
Tel: 416-946-8853
Office: BA8122
Research Group: Semantic Technologies Laboratory

Research Area

Information Engineering

Research Interests

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

Bio

Michael Grüninger is a 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).

Axel Guenther

Professor Axel Guenther 2

PhD

Professor, Mechanical Engineering

Email: guenther@mie.utoronto.ca
Tel: 416-978-1282
Office: MC416
Research Group: Guenther Lab – Fluidic Microprocessors for Life & Material Sciences

 

 

 

Research Area

Thermofluids

Research Interests

Fluid flow and transport at small length scales; organized soft materials; microsystems design; micro and nanofabrication; fluidic microprocessors; high-throughput screening; small blood vessel structure and function.

Bio

The Guenther Research Group draws from the areas of fluid mechanics, colloidal material synthesis, as well as micro/nanofabrication. We investigate fundamentals of transport processes associated with micro/nanoscale flows and aim at translating these fundamentals into unique and powerful technical solutions. We are particularly interested in realizing dynamically changing microenvironments for applications in materials science and biomedicine. Current applications include the controlled preparation of colloidal nanostructures in microreactors, high-throughput platforms for functional tests of small blood vessels with relevance to biopharmaceutical drug discovery, and microfluidic strategies for probing cellular decision processes.

Michael Guerzhoy

MSc

Assistant Professor, Teaching Stream, Industrial Engineering

Email: michael.guerzhoy@utoronto.ca
Tel: 416-978-7024
Office: BA 2028

Research Areas

Applied Machine Learning

Research Interests

Machine learning; data science for healthcare; pedagogy of introductory programming; pedagogy of data science and machine learning.

Bio

Michael Guerzhoy is an Assistant Professor, Teaching Stream in the Division of Engineering Science and the Department of Mechanical and Industrial Engineering and an Affiliate Scientist at the Li Ka Shing Knowledge Institute at St. Michael’s Hospital. Michaels’s research interests are in data science, the applications of data science in healthcare, and the pedagogy of introductory programming, data science, and machine learning. Michael was the recipient of the Best Paper Award at the Canadian Conference on Artificial Intelligence in 2014.

David F. James

PhD, P.Eng

Professor Emeritus, Mechanical Engineering

Email: david.james@utoronto.ca
Tel: 416-978-3049
Office: MC307

Research Area

Thermofluids

Research Interests

Fluid mechanics; flow of non-Newtonian fluids; experimental and theoretical rheology; liquid elasticity; structure of complex fluids, from molecular to microscopic; friction reduction with polymer additives; microfluidics; biomechanics; physiological lubrication.

Bio

David F. James is currently Professor Emeritus of Mechanical & Industrial Engineering, having joined the Department in 1967 after his PhD from the California Institute of Technology. He is still active in research and teaching. His research is related to fluid mechanics, especially the flow of complex liquids such as suspensions, solutions and pastes. His research interests include rheology, elastic liquids, non-Newtonian fluid mechanics, and his speciality is the fluid mechanics of polymeric liquids.

Professor James has received several teaching awards from the Department, and in 1984 he received the first Teaching Award given by the Faculty of Applied Science & Engineering. He continues to be involved in teaching, as a Teaching Mentor for the Faculty, typically advising his junior colleagues.

Professor James’ research has been recognized through the 2011 Annual Award from the British Society of Rheology and the S.G. Mason Award from the Canadian Society of Rheology (2005), as well as through prestigious appointments at other universities, including the Chevron Visiting Professor at Caltech, the University Visiting Professor at Monash University, the Commonwealth Fellowship at St. John’s College and a Visiting Fellowship at Trinity College, both at the University of Cambridge.

His primary administrative service has been the Chair of the Division of Engineering Science at the University of Toronto (1991-95) and as the Secretary of the International Committee of Rheology (1988-2004).

Video: Professor James achieved fame for his “tubeless siphon,” liquid that can flow uphill, which he discovered while a graduate student at the California Institute of Technology. He demonstrated his discovery in the 1967 quiz program, “I’ve Got A Secret.”

Greg A. Jamieson

PhD, P.Eng.

Professor, Industrial Engineering

Email: jamieson@mie.utoronto.ca
Tel: 416-946-8504
Office: RS306A
Research Group: Cognitive Engineering Laboratory (CEL)

Research Area

Human Factors

Research Interests

Human interaction with automation; analysis of work in complex systems; design of interfaces; cognitive engineering applications in process control; energy systems; other emerging areas.

Bio

Greg A. Jamieson is a Professor in the Department of Mechanical & Industrial Engineering at the University of Toronto. He received a Bachelor of Science degrees in Mechanical Engineering and Psychology (with Distinction) from the University of Illinois at Urbana-Champaign, and the Masters of Applied Science and Doctor of Philosophy degrees in Human Factors Engineering from the University of Toronto. From 2018-2023 he was the Clarice Chalmers Chair of Engineering Design at the University of Toronto. He directs the Cognitive Engineering Laboratory, which conducts applied human factors engineering research in the natural resource and energy industries.

Andrew K.S Jardine

PhD, P.Eng., C.Eng., FIISE., FCAE, FEIC, FISEAM (Hon)

Professor Emeritus, Industrial Engineering

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

Research Area

Operations Research

Research Interests

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

Bio

Dr. Andrew K.S. Jardine was 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.

Fatemeh Jazinizadeh

PhD

Assistant Professor, Teaching Stream, Mechanical Engineering

Email: fatemeh.jazinizadeh@utoronto.ca
Tel: 416-978-6953
Office: MC306B

Research Areas

Biomechanics

Research Interests

Injury and Orthopedic Biomechanics, Numerical modeling of musculoskeletal injury development and progression, Engineering Pedagogy

Bio

Fatemeh Jazinizadeh is an Assistant Professor, Teaching Stream at the Department of Mechanical and Industrial Engineering. Before joining the University of Toronto, she was an instructor and a postdoctoral fellow at McMaster University. Dr. Jazinizadeh has a Ph.D. in Mechanical Engineering, a M.Sc. degree in Biomedical Engineering, and two B.Sc. degrees in Biomedical Engineering and Industrial Engineering. Her research interests include areas of injury and orthopedic biomechanics with a focus on creating predictive models of injury development and progression using image processing and machine learning. In 2021, she was awarded the Jack Perkins Prize for the best paper published in Medical Engineering and Physics. Dr. Jazinizadeh is also interested in the areas of engineering pedagogy, problem-based learning, and promoting equity, diversity, and inclusion in teaching and learning.

James F. Keffer

PhD, P.Eng.

Professor Emeritus

Mechanical Engineering

Email: keffer@mie.utoronto.ca

Research Areas

Investigation of turbulent flows using experimental and computational techniques, i.e. computer analysis, digital imaging, flow visualization, pattern recognition, C.F.D. applied to environmental and industrial situations.

Olivera Kesler

ScD, P.Eng.

Professor, Mechanical Engineering

Email: kesler@mie.utoronto.ca
Tel: 416-978-3835
Office: MC332
Research Group: Fuel Cell Materials and Manufacturing Lab

Research Area

Materials

Research Interests

Solid oxide fuel cells; fuel cell materials and manufacturing; graded and multi-layered materials; plasma spray and sol gel processing; increasing reliability; durability and decreasing cost of clean energy conversion technologies.

Bio

Olivera Kesler joined the University of Toronto in 2007 and initiated the Fuel Cell Materials and Manufacturing Laboratory, FCMML. The goal of all of the research work in FCMML is to enhance environmental sustainability by developing cleaner energy conversion technologies that reduce air pollution and greenhouse gas emissions compared to combustion-based power generation methods. Research projects are conceived with the goal of tackling the largest challenges preventing the widespread use of fuel cell technologies – cost, durability, and reliability. The ultimate objective of the work is to facilitate the widest and fastest possible adoption of cleaner energy conversion technologies in order to maximize their environmental benefit.

The main focus of the research in FCMML is on solid oxide fuel cell (SOFC) technology. SOFCs are the most efficient known energy conversion device for the production of electricity from a variety of fuels, including renewable biomass, hydrogen, or natural gas, with no smog-forming emissions. However, their use remains severely limited by high costs, as well as by low durability and reliability. Current projects are aimed at drastically lowering the cost and improving the durability of fuel cells through the use of new materials and processing techniques to produce fuel cells more rapidly using a process that is easily scaleable for mass production. Work is also focused on understanding the electrochemical performance and degradation behaviour of SOFCs, in order to develop strategies to increase their durability.

Elias B. Khalil

PhD

Assistant Professor, Industrial Engineering
SCALE AI Research Chair in Data-Driven Algorithms for Modern Supply Chains

Email: khalil@mie.utoronto.ca
Tel: 416-978-4025
Office: BA8110
Website: ekhalil.com

Research Areas

Operations Research
Applied Machine Learning

Research Interests

Machine learning, integer programming, algorithm design, learning to optimize, combinatorial machine learning

Bio

Elias Khalil is joining the Department of Mechanical & Industrial Engineering as Assistant Professor starting July 2020. Elias is spending the year as IVADO Postdoctoral Scholar at Polytechnique Montréal. He obtained his PhD in Computational Science and Engineering from Georgia Tech (2019), a MS in Computer Science from Georgia Tech (2014), and a BS in Computer Science from the American University of Beirut (2012). His research interests are in Artificial Intelligence with a focus on machine learning and discrete optimization. He is the recipient of an IBM Ph.D. Fellowship (2016-2017), the First Prize in the poster competition at INFORMS (2017) and the Best Paper Award at the NIPS Workshop on Frontiers of Network Analysis (2013). He has interned at IBM Research and Symantec Research Labs.

© 2024 Faculty of Applied Science & Engineering

U of T Home Accessibility Privacy Student Data Practices Website Feedback