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Three professors from Waterloo Engineering have received $6 million in provincial funding to support made-in-Ontario cutting-edge research projects.

The funding, delivered through the Ontario Research Fund, supports ground-breaking research that will advance knowledge, drive innovation and create a better future for the people of Ontario.

A Waterloo Engineering team from the Vision and Image Processing (VIP) Lab is working with the Inuit-driven Arctic Eider Society (AES) to use deep learning to detect hazardous ice areas.  

Led by Neil Brubacher (BASc ‘21 and MASc ‘24, systems design engineering), the team partnered with AES to add data about ice conditions to an app used by locals in Nunavut.  

Completing a Bachelor of Applied Science in Computer Engineering at the University of Waterloo has been a long-held goal for Raven Sim. However, the journey to graduation has led to unexpected opportunities and experiences.

In April 2024, she was part of a team that took their capstone project to the finals of the Norman Esch Entrepreneurship Awards for Capstone Design, where Sim pitched a product that was inspired by her own experiences of volunteering.

Seun Adetunji, a Master of Business, Entrepreneurship, and Technology (MBET) student at the University of Waterloo’s Conrad School of Entrepreneurship and Business, is revolutionizing healthcare communication with her innovative solution, MedInclude 

Adetunji is addressing the prevalent issue of patients with medical jargon. According to some studies, around 51% of patients don’t understand medical language provided by their doctor. 

Biomedical Engineering student Christy Lee’s experience volunteering at busy hospitals and long-term care homes inspired her startup venture PatientCompanion, a communication app meant to improve patient experience and help reduce workload and stress for nurses.  

PatientCompanion allows patients to make specific requests that will automatically prioritize the request on the nurses’ end. Non-medical requests for water or blankets can be distributed among personal care workers, volunteers or other available staff, which will ultimately reduce the workload for nurses at hospitals and long-term care homes.