Students can work on an approved engineering-related project under the supervision of any U of T faculty member.
U of T's exceptional breadth and strength in research allow students to find projects that fit their individual interests, and work in theoretical, clinical, design or laboratory setting.
Students experience the entire research process from initial project framing and literature review, through experimental design to documentation of their work in a final research thesis and oral presentation. Support is provided throughout the course through lectures and workshops on topics like proposal writing and research documentation.
The course is excellent preparation for those intending to pursue graduate studies and provides all students with valuable experience in independent critical thinking and problem solving.
Deb Raji (1T8 PEY Robotics)
Deb was internationally celebrated for her research into racial and gender bias in artificial intelligence algorithms.
Investigating the Influence of Demographic Diversity on Model Performance in Facial Recognition
(Prof. Ashton Anderson, CompSci)
"My thesis supervisor and the thesis course coordinator taught me to think broadly about the impact of technology on society."
Students begin thinking about potential supervisors and topics in Year 3, with a focus in the Winter and Summer terms on firming up commitments with supervisors. By mid-October of Year 4, students are expected to write a formal thesis proposal that defines their projects, though many students have already started their research by then.
Spacecraft attitude control by magnetic actuation and double-gimbal variable-speed control moment gyroscope
(Prof. Chris Damaren, UTIAS)
Aerodynamic shape optimization process for a streamlined land-based solar-powered vehicle
(Prof. Amy Bilton, MIE)
Development and application of a production cost model for the Ontario electricity sector
(Prof. Brian Karney, CivE)
Toward unifying deterministic and stochastic deep reinforcement learning algorithms
(Prof. Jimmy Ba, CompSci)
Day trading portfolio construction using technical analysis and machine learning
(Prof. Roy Kwon, MIE)
Motion planning for autonomous parking of vehicles in an urban environment
(Prof. Tim Barfoot, UTIAS)
Traveling wave based protection of series-compensated transmission lines
(Prof. Reza Iravani, ECE)
Development of a high-throughput platform for imaging tumour cell response to hypoxia
(Prof. Alison McGuigan, ChemE/IBBME)
Nonadiabatic holonomic two-qubit gates with superconducting qubits
(Prof. Aephraim Steinberg, Physics)
Material stocks and flows in Toronto's road infrastructure
(Prof. Shoshanna Saxe, CivE)
Creation of an epidemiological model capable of simulating vaccine hesitancy
(Prof. Jason Foster, EngSci)