We build advanced mathematical and machine learning models
MADS Lab is situated within the Fields Institute for Research in Mathematical Sciences. It is part of the Centre for Quantitative Analysis and Modelling (CQAM) that was established through the generous funding from the Government of Ontario to position the province as an international leader in research, development, and deployment of solutions to support the emerging knowledge economy.
Our mandate is to bridge the gap between academia and industry. Leveraging research collaborations with industry partners, MADS Lab engages in solving real-world problems in science and technology to develop and enhance products & services and processes. Our focus area is finance, healthcare, and industrial engineering.
Contact us at haml@fields.utoronto.ca to discuss partnership and collaboration opportunities.
Detecting cognitive load and task engagement using machine learning techniques on facial images and ECG signals.
Understanding pulmonary ventilation perfusion mismatch and deriving intrapulmonary shunt by using inhale and exhale gas factions.
Identifying retinal dysfunction using machine learning techniques on ERG and mfERG signals.
Designing computationally efficient algorithms to simulate friction stir welding process.
Developing machine learning models to register longitudinal wound images.
Developing deep neural network to learn the non-linear characteristics of financial indices.