Current students

Abstract

Abstract

Students in SYDE 543: Cognitive Ergonomics were challenged to develop prototypes and ideas to combine design principles in cognitive ergonomics with AI tools. Teams will be presenting posters and prototypes of their work and we will have some free pizzas and drinks, with a short performance of a latin pianist. 

Centre for Theoretical Neuroscience presents: Brain Day 2023 

The Department of Systems Design Engineering is delighted to announce that we will be holding our 2023 Graduate Symposium! The symposium will take place on Tuesday, April 11, 2023 in the E7 Ideas Clinic (E7-2409). Session descriptions are available in the Symposium e-book (PDF).

Abstract

With an increasing demand for better medical diagnostic systems, improving the efficiency and effectiveness of medical diagnostics have never been more crucial. Field electron emission (FE) based X-ray source which is a more responsive and controllable alternative to traditional thermionic-emission-based X-ray sources has stimulated much research interest. Among the materials for FE, carbon nanotube (CNT) is one of the most promising candidates due to exceptional properties such as a high aspect ratio and good electrical and thermal conductivities.

The Department of Systems Design Engineering invites all community members to the SYDE-BME Coffee House! This event is an evening of food and drink with special performances by SYDE-BME students, faculty and staff. 

Want to showcase your skill or talent? Complete the performance sign-up form.

Please note the event is restricted to age 19+. 

Hear from a panel of engineers from Ontario Hydro Networks on how the energy system works from an engineering perspective. The panellists will also share aspects of their career journey and the skills that allow them to develop innovative solutions that keep our lights on! 

Abstract

Achieving reliable and robust performance of visual perception systems with Artificial Intelligence (AI) in real-world industrial applications can be challenging due to highly dynamic conditions and requirements. Traditional AI-based solutions require offline training on high-quality data, making it difficult to accommodate new technologies, data, hardware, tasks, and customer needs without retraining.

Abstract

Cauvery River, in the southern part of India, has experienced conflict about the right to use water for the last 130 years. Historically, the states/provinces in conflict have used the water from the river for agricultural purposes. In our research, we are developing a novel scenario-based approach for analyzing the conflict from a system of systems point of view.