Student Research Opportunities

There are many opportunities for students to get involved with the groundbreaking research conducted by over 50 research groups at MIE.

Undergraduate Mechanical Engineering or Industrial Engineering students interested in working with research groups or pursuing a thesis project may:

  • browse research opportunities in the table below, including thesis projects.
  • contact faculty members directly to inquire about research opportunities or potential thesis project supervision.

Master of Engineering (MEng) students interested in pursuing an MEng project may:

  • browse available MEng projects in the table below.
  • contact faculty members directly to inquire about research opportunities or potential thesis project supervision.

Master of Applied Science (MASc) and PhD students conduct research with the support of their supervisor.

Interested postdoctoral candidates can explore the Postdoctoral Fellows Portal or browse open positions on our Careers page.

 

Prospective graduate students interested in getting involved in research at MIE should review our Programs Overview page.

Research Projects

Date AddedTitleContactResearch Area
Winter/Spring 2024Multidisciplinary Design Optimization Methods towards Engineering Applications
Interested applicants are encouraged to send a Cover Letter and a Resume to Prof. Kamran Behdinan (kamran.behdinan@utoronto.ca). Shortlisted applicants will be interviewed.Mechanics & Design
Winter/Spring 2024Enhancing Extraction at the MusclePlease submit CV, unofficial transcript and one paragraph describing your interest to Prof. Fatemeh Jazinizadeh
(fatemeh.jazinizadeh@utoronto.ca)
Mechanical Engineering Design and Instrumentation
Spring/Summer/Fall 2024 Human-Centered Data Science – Trustworthy AI in Healthcare and Medical ResearchPlease submit CV, unofficial transcript, and a single paragraph describing your interest in the project in one file in a single email to Prof. Mark Chignell (chignel@mie.utoronto.ca) and Dr. Lu Wang (wanglu.wang@mail.utoronto.ca.)Human Factors/Information Engineering
Fall 2023/Winter 2024Conduct a Literature Review of Automation Failure Mechanisms Implemented in Human Factors Engineering Empirical StudiesInterested candidates should contact Prof. Greg A. Jamieson (jamieson@mie.utoronto.ca)Human Factors/Ergonomics
Fall 2023/Winter 2024 Towards a person-centered approach of Remote Patient Monitoring Please submit CV and transcript to to Prof. Myrtede Alfred (alfred@mie.utoronto.ca)Human Factors
Fall 2023/Winter 2024Incorporate equity considerations into serious safety
event review processes
Please submit CV and transcript to to Prof. Myrtede Alfred (alfred@mie.utoronto.ca)Human Factors
Fall 2023/Winter 2024 Designing a Tool for the Retrieval of Resin Liners from in-ground Nuclear Waste Storage Structures Please submit CV, unofficial transcript and one paragraph describing your interest to Prof. Fatemeh Jazinizadeh (fatemeh.jazinizadeh@utoronto.ca)Mechanical Engineering Design
Fall 2023/Winter 2024 Exploratory data analysis in a manufacturing system for energy consumption Please contact Prof. Chi-Guhn Lee (cglee@mie.utoronto.ca)Operations Research/Applied Machine Learning
Fall 2023/Winter 2024 Promotion spending optimization in supply chain given counterfactual forecast and various constraints Please contact Prof. Chi-Guhn Lee (cglee@mie.utoronto.ca)Operations Research/Applied Machine Learning
Fall 2023/Winter 2024Machine learning approach to prediction of set up time in printing shop Please contact Prof. Chi-Guhn Lee (cglee@mie.utoronto.ca)Operations Research/Applied Machine Learning
Fall 2023/Winter 2024Machine learning approach to predicting taxi time to various checkpoints during departure of flight Please contact Prof. Chi-Guhn Lee (cglee@mie.utoronto.ca)Operations Research/Applied Machine Learning
Fall 2023/Winter 2024Machine learning approach to predicting runway assignment in airports considering congestion and weather conditionsPlease contact Prof. Chi-Guhn Lee (cglee@mie.utoronto.ca)Operations Research/Applied Machine Learning
Fall 2023/Winter 2024Machine learning approach to forecasting of counterfactual demands in supply chainPlease contact Prof. Chi-Guhn Lee (cglee@mie.utoronto.ca)Operations Research/Applied Machine Learning
Fall 2023/Winter 2024Development and characterization of dust-repellent surfacesPlease submit CV, unofficial transcript, and one paragraph describing your interest in the project to Prof. Kevin Golovin (kevin.golovin@utoronto.ca)Thermofluids, Mechanics and Materials
Fall 2023/Winter 2024 Effect of Driving Automation Systems on Driving PerformancePlease submit CV, unofficial transcript, and a paragraph describing your qualification and interest to Prof. Birsen Donmez (donmez@mie.utoronto.ca) and Mark Wei (mwei@mie.utoronto.ca)Human Factors, Transportation, Human-Automation Interaction
Fall 2023/Winter 2024 Developing digital twins for battery thermal management systems Please, submit CV, unofficial transcripts, and one paragraph describing your interest in the project to Prof. Cristina Amon (cristina.amon@utoronto.ca)Thermofluids
Fall 2023/Winter 2024 Predicting thermal runaway propagation in lithium-ion battery systems Please, submit CV, unofficial transcripts, and one paragraph describing your interest in the project to Prof. Cristina Amon (cristina.amon@utoronto.ca)Thermofluids
Fall 2023/Winter 2024Combining modularity-based and Markov-based community detection algorithms to accurately and reliably cluster networked dataPlease submit (in one pdf file) CV, unofficial transcript(s), one paragraph describing their interest in the project, one paragraph describing how they match the skills listed in the description of the project to Prof. Samin Aref (aref@mie.utoronto.ca)Data Science, Machine Learning, Operations Research, Information Engineering
Fall 2023/Winter 2024Deep Learning for Hyperspectral Image Analysis in Mineral MiningPlease submit CV, unofficial transcript, and a paragraph describing relevant relevant background and your interest in the project to Prof. Mariano Consens (consens@mie.utoronto.ca)Deep Learning, Applied ML, Image Data Processing
Fall 2023/Winter 2024Customizing LLMs for Graph Data Management tasksPlease submit CV, unofficial transcript, and a paragraph describing relevant relevant background and your interest in the project to Prof. Mariano Consens (consens@mie.utoronto.ca)LLM Customization, Applied ML, Graph Data Management
Fall 2023/Winter 2024Testing Chest Wall Deformations During Negative Pressure VentilationPlease submit CV, unofficial transcript, and one paragraph describing your interest in the project to: Prof. Behdinan (behdinan@mie.utoronto.ca)Mechanics & Design
Fall 2023/Winter 2024Reducing Noise Emission in Aerospace ApplicationsPlease submit CV, unofficial transcript, and one paragraph describing your interest in the project to: Prof. Behdinan (behdinan@mie.utoronto.ca)Mechanics & Design
Fall 2023/Winter 2024AI Based Design for 4D Printed PolymersPlease submit CV, unofficial transcript, and one paragraph describing your interest in the project to: Prof. Behdinan (behdinan@mie.utoronto.ca)Mechanics & Design
Fall 2023/Winter 2024A study on the formation of tornados. An experimental setup needs to be developed to form a lab scale tornado and use flow visualization to undestand the initial causes of formation of tornado. Please submit CV, unofficial transcript, to Prof. Nasser Ashgriz (ashgriz@mie.utoronto.ca)Thermofluids
Fall 2023/Winter 2024Temperature dependence of advanced anti-icing materialsPlease submit CV, unofficial transcript, and one paragraph describing your interest in the project to Prof. Kevin Golovin (kevin.golovin@utoronto.ca)Thermofluids, Mechanics and Materials
Fall 2023/Winter 2024Waterborne omniphobic coatingsPlease submit CV, unofficial transcript, and one paragraph describing your interest in the project to Prof. Kevin Golovin (kevin.golovin@utoronto.ca)Thermofluids, Mechanics and Materials
Fall 2023/Winter 2024Photoelastic imaging for fibre fragmentation analysisPlease submit CV, unofficial transcript, and one paragraph describing your interest in the project to Prof. Kevin Golovin (kevin.golovin@utoronto.ca)Thermofluids, Mechanics and Materials
Fall 2023/Winter 2024High speed camera imaging of fibre fragmentation / fracturePlease submit CV, unofficial transcript, and one paragraph describing your interest in the project to Prof. Kevin Golovin (kevin.golovin@utoronto.ca)Thermofluids, Mechanics and Materials
Fall 2023/Winter 2024Automation of thermofluid measurement systemsPlease submit CV, unofficial transcript, and one paragraph describing your interest in the project to Prof. Dave Sinton (dave.sinton@utoronto.ca), and Dr. Amin Kazemi (amin.kazemi@utoronto.ca)Thermofluids, Mechatronics
Fall 2023/Winter 2024High-throughput screening of carbon capture solutionsPlease submit CV, unofficial transcript, and one paragraph describing your interest in the project to Prof. Dave Sinton (dave.sinton@utoronto.ca), and Dr. Amin Kazemi (amin.kazemi@utoronto.ca)Thermofluids
Fall 2023/Winter 2024Combining modularity-based and Markov-based community detection algorithms to accurately and reliably cluster networked dataInterested MEng students should send one email to Prof. Samin Aref (aref@mie.utoronto.ca) with the following documents combined into one pdf file: CV, unofficial transcript(s), one paragraph describing their interest in the project, one paragraph describing how they match the skills listed in the description of the projectData Science, Machine Learning, Operations Research, Information Engineering
Fall 2023/Winter 2024Intelligent Socially Assistive Robots for Vulnerable PopulationsPlease submit CV, unofficial transcript, to Prof. Goldie Nejat (nejat@mie.utoronto.ca)Robotics, Deep Learning, Human-robot Interaction
Fall 2023/Winter 2024Multi-robot Cooperation in Varying EnvironmentsPlease submit CV, unofficial transcript, to Prof. Goldie Nejat (nejat@mie.utoronto.ca)Robotics, Deep Learning, Human-robot and robot-robot Interaction
Fall 2023/Winter 2024Robots in the Wild - Intelligence for Real-World EnvironmentsPlease submit CV, unofficial transcript, to Prof. Goldie Nejat (nejat@mie.utoronto.ca)AI, BIg Data, Robotics
Fall 2023/Winter 2025Robotics and AI in Healthcare SettingsPlease submit CV, unofficial transcript, to Prof. Goldie Nejat (nejat@mie.utoronto.ca)Robotics, Deep Learning, Human-robot Interaction
Fall 2023/Winter 2024
Interface Engineering and Architecture Design of Li-Rich Layered Cathode for Cycle-Stable Li-Ion Batteries
Interested MEng students can send CVs to Prof. Mohini Sain (m.sain@utoronto.ca)Advanced Manufacturing, Mechanics and Materials
Fall 2023/Winter 2024Porous Silicon Nanowires for Lithium-Ion Battery Anodes with Long Cycle LifeInterested MEng students can send CVs to Prof. Mohini Sain (m.sain@utoronto.ca)Advanced Manufacturing, Mechanics and Materials
Fall 2023/Winter 20242D Graphitic Carbon (GC) as Cathode Host in Lithium Sulfur BatteriesInterested MEng students can send CVs to Prof. Mohini Sain (m.sain@utoronto.ca)Advanced Manufacturing, Mechanics and Materials
Fall 2023/Winter 2024MXene Based Sulfur Hosts in Lithium Sulfur Batteries Interested MEng students can send CVs to Prof. Mohini Sain (m.sain@utoronto.ca)Advanced Manufacturing, Mechanics and Materials
Fall 2023/Winter 2024Roll to Roll Manufacturing of Advanced Hydrogen Fuel Cell ComponentsInterested MEng students can send CVs to Prof. Mohini Sain (m.sain@utoronto.ca)Advanced Manufacturing, Mechanics and Materials
Fall 2023/Winter 2024Photochemical Reactor Design and Validation for Stripping Mixed Macromolecules from Municipal WasteInterested MEng students can send CVs to Prof. Mohini Sain (m.sain@utoronto.ca)Advanced Manufacturing, Mechanics and Materials
Fall 2023/Winter 2024Photocatalytic Reforming of Methanol in Hydrogen ProductionInterested MEng students can send CVs to Prof. Mohini Sain (m.sain@utoronto.ca)Advanced Manufacturing, Mechanics and Materials
Fall 2023/Winter 20243D Printing Structural Battery Components for Electric Vehicles (EVs)Interested MEng students can send CVs to Prof. Mohini Sain (m.sain@utoronto.ca)Advanced Manufacturing, Mechanics and Materials
Fall 2023/Winter 2024Non-Destructive Diffusion-wave Techniques and Imaging for Solar Cells and Clean Energy Conversion Optoelectronic DevicesSubmit CV, unoffiical transcript to Prof Mandelis (mandelis@mie.utoronto.ca), Dr Melnikov (melnikov@mie.utoronto.ca). Description: Development of novel diffusion-wave imaging and other diagnostic techniques for industrial quality control of optoelectronic materials and devices, primarily silicon and quantum dot solar cells as well as substrate wafers under various device fabrication and processing phases. For more information, consult https://cadipt.mie.utoronto.caMaterials
Fall 2023/Winter 2024Dynamic Imaging of Solar Cell Optoelectronic Quality using a Near-Infrared CameraSubmit CV, unoffiical transcript to Prof Mandelis (mandelis@mie.utoronto.ca), Dr Melnikov (melnikov@mie.utoronto.ca). Description: We have developed a non-destructive imaging technique (solar cell lock-in carrierography) which monitors the optoelectronic quality of industrial silicon-based photovoltaic solar cells and aims to correlate the images with the electrical output and overall performance efficiency of the solar cell. A MEng student will be required to work with the research team in generating and analyzing carrierographic images in order to build the statistics of these optical-electrical correlations and relate images to quantitative measurements of the parameters responsible for the solar cell efficiency.Materials
Fall 2023/Winter 2024Near infrared blood oxygenation of biomaterials and tissues for disease diagnosis using differential wavelength modulated thermophotonic imagingSubmit CV, unoffiical transcript to Prof Mandelis (mandelis@mie.utoronto.ca), Dr Melnikov (melnikov@mie.utoronto.ca). Description:We are developing a new biomedical imaging modality to generate high sensitivity images of blood oxygenation under body circulating conditions so as to be able to monitor hypoxia in blood rich vessels and tissue sites as a hallmark of malignancy. A laser excitation source and an infrared camera will be used for the imaging. One or two MEng students will work with our Research Associate to help test and optimize the setup in anticipation of further research projects.Materials
Summer 2023/Fall 2023/Winter 2024Applying lead-user methods to identify and overcome obstacles to pro-social, pro-health, and/or pro-environmnetal behavior (please specify if you have a specfic behavior in mind)Please email to Prof. Li Shu (shu@mie.utoronto.ca) a single pdf file containing the following: CV, unofficial transcript, and one paragraph describing your interest and skills for the project. Please name the file as follows: Shulab_MEng_Human Factors & Ergonomics
Fall 2023/Winter2024Optimal Scheduling of Chemotherapy Services at Hamilton Health SciencesInterested candidates should contact Prof. Vahid Sarhangian (sarhangian@mie.utoronto.ca). Please include CV and transcripts. Operations Research, Applied Machine Learning
Fall 2023 / Winter 2024Design and fabrication of optical strain and vibration sensors encased in 3D printed enclosuresRequires expertise in electronics and FDM printing, and familiarity with fiber optics. Interested candidates should contact Prof. Fae Azhari (azhari@mie.utoronto.ca)Materials & Design
Fall 2023 / Winter 2024Exploring gait anomalies in response to environmental perturbationsRequires familiarity with gait biomechanics and analysis. Interested candidates should contact Prof. Fae Azhari (azhari@mie.utoronto.ca)Robotics, Data Analytics
Fall 2023 / Winter 2024Qualitative and quantitative analyses of the adoption of structural health monitoring technologies by civil engineering professionalsWill involve extracting data from large audio/video files and surveys. Interested candidates should contact Prof. Fae Azhari (azhari@mie.utoronto.ca)Data Analytics
Fall 2023 / Winter 2024Miniaturizing a data acquisition system for smart materialsRequires extensive expertise in electronics and programming. Interested candidates should contact Prof. Fae Azhari (azhari@mie.utoronto.ca)Robotics
Fall 2023 / Winter 2024Design and fabrication of a smart prosthetic componentLooking for a candidate who has experience with product design and materials science. Interested candidates should contact Prof. Fae Azhari (azhari@mie.utoronto.ca)Materials & Design
Fall 2023 / Winter 2024Numerical Investigation of Solid-State Ceramic Film fabrication via Aerosol Deposition Method for Advanced Surface Engineering ApplicationsPlease submit CV, unofficial transcript, and one paragraph describing your interest in the project to Prof. Ali Dolatabadi (ali.dolatabadi@utoronto.ca), and Dr. Mehdi Jadidi (mehdi.jadidi@utoronto.ca)Thermofluids
Fall 2023 / Winter 2024Numerical Modeling of Cold Spray Technology for Metal 3D Printing and Additive ManufacturingPlease submit CV, unofficial transcript, and one paragraph describing your interest in the project to Prof. Ali Dolatabadi (ali.dolatabadi@utoronto.ca), and Dr. Mehdi Jadidi (mehdi.jadidi@utoronto.ca)Thermofluids
Fall 2023 / Winter 2024Developing a control system for automated preparation of solutions as feedstock to the Solution Precursor Plasma Spray (SPPS) processPlease submit CV, unofficial transcript, and one paragraph describing your interest in the project to Prof. Ali Dolatabadi (ali.dolatabadi@utoronto.ca), and Dr. Mehdi Jadidi (mehdi.jadidi@utoronto.ca)Thermofluids, Mechatronics
Fall 2023/Winter 2024Testing Social Psychology Hypotheses with Social Media Data (in particular, can patterns in Honor Culture (Nisbett, Culture of Honor (1996)) be showing in social media data?Please submit a CV, unofficial transcript, and statement of interest to Prof. Michael Guerzhoy (guerzhoy@mie.utoronto.ca). Requirements: willingness and/or ability to learn to scrape and to work with LLMs. Interest in computational methods in sociology, and interest in psychology.Machine Learning, Data Science
Fall 2023/Winter 2024How expressive are RNNs for expressing the physiological processes a patient is undergoing in the ICU? For example, can RNNs model drug-drug interaction well? (Yes). Can RNNs model a deteriorating patient due to infection (maybe)Please submit a CV, unofficial transcript, and statement of interest to Prof. Michael Guerzhoy (guerzhoy@mie.utoronto.ca). Interview is required.Machine Learning
Fall 2023/Winter 2024What makes it that Go is more difficult for a computer to win against a human than Chess? Investigate existing approaches to find outPlease submit a CV, unofficial transcript, and statement of interest to Prof. Michael Guerzhoy (guerzhoy@mie.utoronto.ca). Interview is required.Machine Learning
Fall 2023/Winter 2024What makes a piece of Music/Literatue/Board game playing brilliant? A machine-learning approachPlease submit a CV, unofficial transcript, and statement of interest to Prof. Michael Guerzhoy (guerzhoy@mie.utoronto.ca). Interview is required.Machine Learning
Fall 2023/Winter 2024Grounding AI Ethics in Philosophy. AI Ethics is often taught from the perspective of Kant and Mill. Bentham is often taught, but frequently not mentioned by name. Plato actually has a lot to say on the subject, but is entirely absent. Ruha Benjamin is often mentioned, but not in the sam category. In this project, we'll read philosophers beyond Kant, Mill, and Bentham to situate the conversation about AI Ethics in a richer philosophical tradition that it's usuall situated in.Please submit a CV, unofficial transcript, and statement of interest to Prof. Michael Guerzhoy (guerzhoy@mie.utoronto.ca). Interview is required. The statement of interest should contain a brief discussion of two academic philosophers (not necessarily ethicists; for the prupose of this question, an "academic philosopher" is someone who works at a university as a philosopher, or someone whose work is widely studied by philosohers working at universities) whose works you've read and enjoyed. What did you like about their works? You shouls also have a solid background in probability and statistics.Engineering ethics
Fall 2023/Winter 2024Data Mining Social Media for early novel disease identification (e.g., idenify "long covid" before the name "long covid" existed form social media dataPlease submit a CV, unofficial transcript, and statement of interest to Prof. Michael Guerzhoy (guerzhoy@mie.utoronto.ca). Interview is required.Machine Learning, Data Science
Fall 2023/Winter 2024Propose your own project in Machine Learning/Computer Vision/Data Science for HealthcarePlease submit a CV, unofficial transcript, and statement of interest to Prof. Michael Guerzhoy (guerzhoy@mie.utoronto.ca). Interview is required.Machine Learning, Data Science
Fall 2023/Winter 2024Optimizing the Microstructure of Bioplastic PLA with Lignocellulosic Biobased NanofibrilsPlease submit CV, unofficial transcript, to Prof. Patrick Lee (patricklee@mie.utoronto.ca)Advanced Manufacturing, Materials
Fall 2023/Winter 2024Transforming Polymer Waste into High-Value Carbon Products and Composites: A_x000D_ Sustainable SolutionPlease submit CV, unofficial transcript, to Prof. Patrick Lee (patricklee@mie.utoronto.ca)Advanced Manufacturing, Materials
Fall 2023/Winter 2024Subcutaneous Vein Detection and Mapping for Home Hemodialysis Self-cannulationPlease submit CV, unofficial transcript, to Prof. Patrick Lee (patricklee@mie.utoronto.ca)Advanced Manufacturing, Materials
Fall 2023/Winter 2024Deep Learning for Automated Software EngineeringPlease submit CV, unofficial transcript, and one paragraph describing your interest in the project to Prof. Eldan Cohen (ecohen@mie.utoronto.ca)Deep Learning, Natural Language Processing
Fall 2023/Winter 2024Pre-Trained Transformer Models for Text Analysis in Various ApplicationsPlease submit CV, unofficial transcript, and one paragraph describing your interest in the project to Prof. Eldan Cohen (ecohen@mie.utoronto.ca)Applied Machine Learning, Natural Language Processing
Fall 2023/Winter 2024Interpretable Machine Learning using Mathematical OptimizationPlease submit CV, unofficial transcript, and one paragraph describing your interest in the project to Prof. Eldan Cohen (ecohen@mie.utoronto.ca)Machine Learning, Operations Research
Fall 2023/Winter 2024Equity centered human-centered design studiesPlease submit CV, unofficial transcript, and one paragraph describing your interest in the project to Prof. Enid Montague (enid.montague@utoronto.ca)Human Factors & Ergonomics, Artificial Intelligence, Healthcare
Fall 2023/Winter 2024Human-centered automation and human-AI teams in healthcare (projects in family medicine, organ transplant and heart failure)Please submit CV, unofficial transcript, and one paragraph describing your interest in the project to Prof. Enid Montague (enid.montague@utoronto.ca)Human Factors & Ergonomics, Artificial Intelligence, Healthcare
Fall 2023/Winter 2024Bio-inspired Ultra-Strong and Tough Hybrid Composites via Micro-structuringPlease submit CV, unofficial transcript, to Prof. Patrick Lee (patricklee@mie.utoronto.ca)Advanced Manufacturing, Materials
Fall 2023/Winter 2024Polymer Microstructure Design and Foaming Optimization via Machine LearningPlease submit CV, unofficial transcript, to Prof. Patrick Lee (patricklee@mie.utoronto.ca)Advanced Manufacturing, Machine Learning, Data Science
Fall 2023/Winter 2024Micro-structuring of Artificial Nacre Structure via Laser induced GraphenePlease submit CV, unofficial transcript, to Prof. Patrick Lee (patricklee@mie.utoronto.ca)Advanced Manufacturing, Materials
Fall 2023/Winter 2024Highly Strechable and Self-Healable Organic Semiconductors for Health Monitoring Wearable SensorPlease submit CV, unofficial transcript, to Prof. Patrick Lee (patricklee@mie.utoronto.ca)Advanced Manufacturing, Materials
Fall 2023/Winter 2024Lightweighting of Elastomeric Polymers for Flexible Foam ApplicationsPlease submit CV, unofficial transcript, to Prof. Patrick Lee (patricklee@mie.utoronto.ca)Advanced Manufacturing, Materials
Fall 2023/Winter 2024Fabricating Hierarchically Structured Carbon Aerogels from Sustainable BiomaterialsPlease submit CV, unofficial transcript, to Prof. Patrick Lee (patricklee@mie.utoronto.ca)Advanced Manufacturing, Materials
Fall 2023/Winter 2024Conductive polymer composites for electromagnetic interference (EMI) shielding applicationPlease submit CV, unofficial transcript, to Prof. Patrick Lee (patricklee@mie.utoronto.ca)Advanced Manufacturing, Materials
Fall 2023/Winter 2024Highly Efficient Passive Cooling Structures via Micro-layeringPlease submit CV, unofficial transcript, to Prof. Patrick Lee (patricklee@mie.utoronto.ca)Advanced Manufacturing, Materials
Fall 2023/Winter 2024Enhanced Piezoelectric Response Sensors via Micro-layeringPlease submit CV, unofficial transcript, to Prof. Patrick Lee (patricklee@mie.utoronto.ca)Advanced Manufacturing, Materials
Fall 2023/Winter 2024Case-Control Analysis of Paramedic Trips: Investigating Ambulance Vehicle Collisions and Paramedic Workplace ConditionsPlease submit CV, and a single paragraph describing your interest in one file to Prof. Birsen Donmez (donmez@mie.utoronto.ca) and Milad Delavary (mddelava@mie.utoronto.ca)Human Factors & Ergonomics, Transportation, Data Science
Fall 2023/Winter 2024Deep insight into reverse osmosis membrane compaction and characterization using microscopy imaging techniquesPlease submit CV, unofficial transcript, to Prof. Patrick Lee (patricklee@mie.utoronto.ca)Advanced Manufacturing, Materials
Fall 2023/Winter 2024 Climate change impacts on asset management strategies Please submit CV and one paragraph describing your interest in the project to Prof. Janet Lam (janet@mie.utoronto.ca)Operations Research
Fall 2023/Winter 2024Research and data collection methods for education researchPlease submit CV and one paragraph describing your interest in the project to Prof. Janet Lam (janet@mie.utoronto.ca)Engineering education
Fall 2023/Winter 2024Work on a framework to automatically "localize" the SIGSOFT Empirical Standards https://acmsigsoft.github.io/EmpiricalStandards/docs/ to different areas of computer science (or potentially other fields). The work would involve theoretical analysis of empirical methods, with a particular emphasis on quantitative methods, as well as the development of a web framework that would allow end-users to automatically generate their own versions of the document and link those versions to conference/journal management software. This would be a collaboration with Michael Guerzhoy (MIE/EngSci) and Paul Ralph (Dalhousie). The student needs a solid background in empirical methods, and interest in working on the Empirical Standards framework, and a willingness/ability to work on building a software framework.Please submit a CV, unofficial transcript, and statement of interest to Prof. Michael Guerzhoy (guerzhoy@mie.utoronto.ca). Interview is required.Research methods, web programming
Fall 2023/Winter 2024Optimization and Prototyping of a Passive Irrigation Controller for Low-Income FarmersPlease submit a CV, unofficial transcript, and statement of interest to Amy Bilton (bilton@mie.utoronto.ca). Solid Mechanics, Design, Fluid Mechanics
Fall 2023/Winter 2024Understanding the Environmental Impact of Oil Spill RemediationPlease submit a CV, unofficial transcript, and statement of interest to Amy Bilton (bilton@mie.utoronto.ca). Solid Mechanics, Design, Fluid Mechanics
Summer 2023Materials for Energy Storage and Conversion

- Various projects dealing with materials-processing-microstructure-property relationships for component designs to be used in clean energy applications. Contact Instructor for more details
Please submit CV, unofficial transcript, and a paragraph describing relevant relevant background and your interest in the project to Prof. Olivera Kesler (kesler@mie.utoronto.ca)Mechanics and Materials, Advanced Manufacturing
Summer 2023Solid oxide fuel cells, high-efficiency electrolysis, oxygen separation membranes, clean energy

- Contact Instructor for more details
Please submit CV, unofficial transcript, and a paragraph describing relevant relevant background and your interest in the project to Prof. Olivera Kesler (kesler@mie.utoronto.ca)Mechanics and Materials, Advanced Manufacturing
Summer 2023Design and fabrication of 3D-printed interconnects and manifolds for open microfluidic devices

Interested students should submit CVs and a brief statement of interest to Prof. Edmond Young (eyoung@mie.utoronto.ca)Mechanics and Materials
Summer 2023Advanced manufacturing and novel materials for biomicrofluidic and organ-on-a-chip systems
Interested students should submit CVs and a brief statement of interest to Prof. Edmond Young (eyoung@mie.utoronto.ca)Mechanics and Materials
Summer 2023Design considerations for multi-organ microphysiological systems



Interested students should submit CVs and a brief statement of interest to Prof. Edmond Young (eyoung@mie.utoronto.ca)Mechanics and Materials
Summer 2023Interface Engineering and Architecture Design of Li-Rich Layered Cathode for Cycle-Stable Li-Ion BatteriesInterested MEng students can send CVs to Prof. Mohini Sain (m.sain@utoronto.ca)Advanced Manufacturing, Mechanics and Materials
Summer 2023Porous Silicon Nanowires for Lithium-Ion Battery Anodes with Long Cycle LifeInterested MEng students can send CVs to Prof. Mohini Sain (m.sain@utoronto.ca)Advanced Manufacturing, Mechanics and Materials
Summer 2023 2D Graphitic Carbon (GC) as Cathode Host in Lithium Sulfur Batteries Interested MEng students can send CVs to Prof. Mohini Sain (m.sain@utoronto.ca)Advanced Manufacturing, Mechanics and Materials
Summer 2023MXene Based Sulfur Hosts in Lithium Sulfur Batteries Interested MEng students can send CVs to Prof. Mohini Sain (m.sain@utoronto.ca)Advanced Manufacturing, Mechanics and Materials
Summer 2023 - 2 positions3D Printing Structural Battery Components for Electric Vehicles (EVs)Interested MEng students can send CVs to Prof. Mohini Sain (m.sain@utoronto.ca)Advanced Manufacturing, Mechanics and Materials
Summer 2023Additive
Manufacturing Next Generation Polymeric Materials
Interested candidates should immediately contact Prof. Hani E. Naguib (naguib@mie.utoronto.ca) for more information.Materials, Mechanics & Design, Robotics
Summer 2023Development of Polymer Composite Systems with Enhanced Dynamic Properties at Elevated TemperaturesInterested candidates should immediately contact Prof. Hani E. Naguib (naguib@mie.utoronto.ca) for more information.Materials, Mechanics & Design, Robotics
Summer 2023Lattice Boltzmann modeling of drop evaporation on a glass surfaceInterested MEng students can send CVs, short description of interest to Prof. Pierre Sullivan (sullivan@mie.utoronto.ca)Thermofluids
Summer 2023Lattice Boltzmann modeling of water near an interfaceInterested MEng students can send CVs, short description of interest to Prof. Pierre Sullivan (sullivan@mie.utoronto.ca)Thermofluids
Summer 2023Manufacture and testing of high pressure sensor for industrial processesInterested MEng students can send CVs, short description of interest to Prof. Pierre Sullivan (sullivan@mie.utoronto.ca)Thermofluids
Summer 2023CFD modeling of inclined synthetic jet analysis using COMSOLInterested MEng students can send CVs, short description of interest to Prof. Pierre Sullivan (sullivan@mie.utoronto.ca)Thermofluids
Summer 2023AI for particle image velocimetry analysisInterested MEng students can send CVs, short description of interest to Prof. Pierre Sullivan (sullivan@mie.utoronto.ca)Thermofluids
Summer 2023/Fall 2023/Winter 2024Development of Automation Failure Scenarios in a Laboratory MicroworldInterested candidates should contact Prof. Greg A. Jamieson (jamieson@mie.utoronto.ca)Human Factors & Ergonomics
Summer 2023/Fall 2023/Winter 2024Contribute to a Systematic Review and Meta-analysis of Human Performance Responses to Automation FailureInterested candidates should contact Prof. Greg A. Jamieson (jamieson@mie.utoronto.ca)Human Factors & Ergonomics
Summer 2023/Fall 2023/Winter 2024Validation of the Response Integration across Measures & Experiments (RIME) TableInterested candidates should contact Prof. Greg A. Jamieson (jamieson@mie.utoronto.ca)Human Factors & Ergonomics
Summer 2023/Fall 2023/Winter 2024Development and Deployment of a Small Modular Reactor facility SimulatorInterested candidates should contact Prof. Greg A. Jamieson (jamieson@mie.utoronto.ca)Human Factors & Ergonomics
Summer 2023/Fall 2023/Winter 2024Contribute to a Systematic Review and Meta-analysis of Automation Transparency InterventionsInterested candidates should contact Prof. Greg A. Jamieson (jamieson@mie.utoronto.ca)Human Factors & Ergonomics
Summer 2023/Fall 2023IMICS Lab Operations ResearchInterested students should contact Farzad Khalvati (farzad.khalvati@utoronto.ca)Deep Learning, Natural Language Processing, Medical Image Analysis, Precision Medicine
Summer 2023/Fall 2023IMICS Lab AI in MedicineInterested students should contact Farzad Khalvati (farzad.khalvati@utoronto.ca)Deep Learning, Natural Language Processing, Medical Image Analysis, Precision Medicine
Summer 2023/Fall 2023Human-Centered Data Science in Healthcare and Medical ResearchPlease submit CV, unofficial transcript, and one paragraph describing your interest in the project in one file in a single email to Prof. Mark Chignell (chignel@mie.utoronto.ca) and Dr. Lu Wang (wanglu.wang@mail.utoronto.ca)Data Science, Machine Learning, Artificial Intelligence, Healthcare, Medical Research
Summer 2023/Fall 2023Testing Chest Wall Deformations During Negative Pressure VentilationPlease submit CV and transcript for review to: Prof. Behdinan (behdinan@mie.utoronto.ca) by May 31, 2023.Mechanics & Design
Summer 2023/Fall 2023Reducing Noise Emission in Aerospace ApplicationsPlease submit CV and transcript for review to: Prof. Behdinan (behdinan@mie.utoronto.ca) by May 31, 2023.Mechanics & Design
Summer 2023/Fall 2023AI Based Design for 4D Printed PolymersPlease submit CV and transcript for review to: Prof. Behdinan (behdinan@mie.utoronto.ca) by May 31, 2023.Mechanics & Design
Summer 2023/Fall 2023Additive Manufacturing of Composite BiomaterialsInterested students should contact Professor Axel Guenther (axel.guenther@utoronto.ca)Bioprinting, 3D printing, material optimization, bioengineering
Summer 2023/Fall 2023Multi-Nozzle Printhead for Consistent, Rapid In-Situ Delivery of
Bioinks with a Handheld Bioprinter
Interested students should contact Professor Axel Guenther (axel.guenther@utoronto.ca)Bioprinting, 3D printing, material optimization, bioengineering
Spring 2023Electronics and Embedded Systems Development for Smart Wearable Medical DevicesInterested candidates should contact Prof. Hani E. Naguib (naguib@mie.utoronto.ca) for more information.Materials, Mechanics & Design, Robotics
Winter 2023Investigating Driver Interaction with Automated VehiclesInterested students should contact Prof. Birsen Donmez (donmez@mie.utoronto.ca) or Chelsea DeGuzman (deguzman@mie.utoronto.ca) by January 31, 2023.

Required qualifications:
• Valid driver’s license
• Strong written and oral communication skills
Human Factors
Winter 2023

ICU-ROOMInterested MEng students should forward their CV's to Professor Myrtede Alfred: alfred@mie.utoronto.ca

The student should be proficient in AutoCAD.

A Human Factors background and experience with Unity (development platform) is preferred but not required.

Application Deadline is January 9, 2023
Human Factors
Winter 2023Identifying-Barriers-to-Utilization-of-Professional-Interpretation-ServicesInterested MEng students should forward their CV's to Professor Myrtede Alfred: alfred@mie.utoronto.ca

A Human Factors background is preferred but not required.

Application Deadline is January 9, 2023
Human Factors

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