MEng Research Opportunities - Department of Mechanical & Industrial Engineering

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

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

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

Submit a Research Project (MIE Faculty Members)

Faculty members who are seeking student researchers may submit a project to be listed on this webpage by completing the Project Listing Form.

Find a Research Project by Area

Search for projects by the primary area of research. Some projects may fall into more than one category and additional areas are listed in the project description.

Robotics

Development of soft robotics actuator for artificial muscle applications

Faculty Contact: Professor Hani Naguib (naguib@mie.utoronto.ca)
Research Areas: Soft Robotics, Adaptive Surfaces, Actuators and sensors

Electroactive polymers (EAPs) are polymeric based materials that can undergo large amount of dimensional change and produce significant reaction force when a voltage is applied to them. Among all types of EAPs, shape memory effect (SME) is one of the most promising solutions due to its high response stress/strain that can be produced by the materials. The deformation is governed by the phase changing under different temperature which can be controlled via Joule heating. Currently, one of the major research focuses is on improving the strain and stress of different types of EAP during actuation. Objectives of the proposed project include: (i) design, fabricate, and characterize EAP materials, (ii) construct and characterize novel composites by combining or embedding EAP in soft robotics, and (iii) verify the performance in terms of their actuation motion, including maximum displacement, curvature, and force response.

Mechanics & Design

Materials

Thermofluids

Human Factors

Information Engineering

Operations Research

Applied Machine Learning

Project Archive

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