Headshots of four MME professors who have been awarded CFI-JELF awards for 2025
Thursday, October 16, 2025

MME professors receive funding to fuel innovative projects through CFI-JELF

Four professors in the Department of Mechanical and Mechatronics Engineering have received national support for their research through the Canada Foundation for Innovation (CFI) through the John R. Evans Leaders Fund (JELF).  

The fund helps retain and recruit outstanding researchers by providing the resources they need to fuel innovation and deliver real-world impact. 

Take a look below to see which of our faculty members are receiving funding, and the projects they will be undertaking:   

Dr. Mihaela Vlasea

Technologies enabling nature-inspired architected materials and structures

Vlasea's research focuses on advancing sustainable additive manufacturing of nature-inspired, architected materials. Her work aims to enhance binder jet processes by incorporating novel materials, data-driven fabrication, and intelligent design. Collaborations with Dr. Michael Benoit and Dr. Stewart McLachlin draw on their expertise in materials science and biomedical science.  

Dr. John Magliaro

Elevated- to high-rate characterization facility for advanced lightweight materials and structures

Magliaro investigates safer designs for vehicles and personal protective equipment using a unique testing facility. His research, in collaboration with academic and industry partners, focuses on developing sustainable lightweighting and joining methods to minimize waste and uphold safety.

Dr. Robert Nishida

Framework for advancing aerosol metrics to improve air quality and health

Nishida's research aims to improve air quality monitoring through advanced aerosol measurement and modelling. By developing innovative particle sensors, his work seeks to provide the health and pollution industries with more accurate air quality assessments.  

Dr. Vinny Gupta

Fast spectral imaging of fire emissions

Gupta and his team develop high-speed laser and imaging systems to study the formation of smoke and pollutants from lithium-ion battery fires and wildland fuels. Data from this imaging will inform fire behaviour models, improve safety design, support emergency response, and influence environmental policy.