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CMTE

As Director of the Centre, I would like to welcome you to our website. Established in 1991 as the Centre for Management of Technology and Entrepreneurship (CMTE), the Centre has been focused on bringing leading edge problem solving and research innovation to our Canadian Industry Sponsors. Today, more than ever, the pace of technological change is providing industry leaders unique opportunities to innovate and adopt new technologies.

 

Our goal is to provide our Sponsors with quality, value added research-based practical work, related to three overlapping research areas, namely financial modelling, data science and machine learning. These research areas allow us to provide innovative solutions to many industry related applications, including financial modelling, forecasting, customer analytics, market risk, operational risk, portfolio optimization, productivity enhancement, logistics and aspects of cyber security.

- Yuri

Financial Modelling

Machine Learning

Data Science

Financial Modeling
 
  • Market risk

  • Derivatives pricing / hedging

  • Portfolio optimization

Customer Analytics
 
  • Data analytics to enhance customer value

 

Credit & Operational Risk 
  • Cyber security

  • Data analytics for fraud detection

  • Data analytics for event modelling

Efficiency /Productivity
  • Bank branch productivity

  • Bot applications for labour reduction

Featured Partners

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News & Events

December 7, 2020

Two papers on Reinforcement Learning accepted at NeurIPS 2020!

Our two papers on scalable control and multi-agent reinforcement learning have been accepted as posters to the 34th edition of Neural Information Processing Systems (NeurIPS) 2020 as part of the Deep Reinforcement Learning Workshop.

December 7, 2020

Pierre works on data science and complex networks.

Pierre works on data science and complex networks. His work lies at the intersection of optimization, statistics and graph theory. His work has recently been featured in the Journal of Complex Networks LION 13 and The 10th International Conference on Network Analysis. 

December 11, 2020

CMTE student works in collaboration on Machine Learning based multivariate time series anomaly detection.

Francis Duan investigated the anomaly detection problem on multivariate time series data. In particular, he studied two different directions for solving this problem: the point-based approach and the range-based approach.

CONTACT
US

If you are interested in sponsorship or graduate studies, feel free to contact us today!