Presentations

Fighting Fire with AI: Using Artificial Intelligence to Improve Modelling and Decision Making in Wildfire Management

I was invited to speak at this week-long workshop at the fabulous BIRS facility in Banff Alberta. The workshop was entitled "Forest and Wildland Fire Management: a Risk Management Perspective" which brought together a wide range of experts and stakeholders from across Canada as well as some researchers from around the world to discuss the latest research on Forest Fire Management. It was an incredibly productive week that built many new connections. Read more about Fighting Fire with AI: Using Artificial Intelligence to Improve Modelling and Decision Making in Wildfire Management
Location: 
Banff International Research Station, Banff, Alberta, Canada
Presentation Date: 
Friday, November 17, 2017

Using Deep Learning and Reinforcement Learning to Tame Spatially Spreading Processes

This was an invited talk for the Waterloo Institute for Complexity and Innovation (WICI) seminar series. The talk was recorded and can be watched from WICI's website here.

Abstract:

Recent advances in Artificial Intelligence and Machine Learning (AI/ML) allow us to learn predictive models and control policies for larger, more complex systems than ever before. However, some important real world domains such as...

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Location: 
University of Waterloo
Presentation Date: 
Wednesday, October 25, 2017

A to Z of AI/ML: A Quick Introduction to Artificial Intelligence and Machine Learning Capabilities and Tools

I presented the following talk for EngCon 2017 to help our undergraduate engineers prepare for their big Fourth Year Design Project.

 

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Location: 
University of Waterloo
Presentation Date: 
Saturday, September 23, 2017

BIRC Workshop On Deep Learning In Medicine

This all-day workshop brough together researchers, students and medical professionals from medical imaging, image processing and machine learning to discuss what the new class of machine learning algorithms known collectively as Deep Learning are, how they are and could be used for medicine and what the impacts for medicine as a whole are of this technology. The workshop was hosted by the Biomedical Imaging Research Centre (BIRC) at the University of Western Ontario. I gave an introductory...

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Location: 
University Hospital, London, Ontario, Canada
Presentation Date: 
Monday, August 28, 2017

Big Metadata : Machine Learning on Encrypted Communications

This talk presented the results of the NRC-IRAP/OCE-VIP funded industry collaboration with ISG Inc. It was a highlighted talk in the program and part of a very well attended stream on the growing importance of applying machine learning to security problems.

Presented by Jennifer Fernick and Mark Crowley at RSA Conference 2017.

Read more about Big Metadata : Machine Learning on Encrypted Communications
Location: 
San Francisco, USA
Presentation Date: 
Friday, February 17, 2017

AI Education Through Real World Problems

Presented in The Seventh Symposium on Educational Advances in Artificial Intellgience.

 

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Location: 
San Francisco, USA
Presentation Date: 
Sunday, February 5, 2017

AI Education Through Real World Problems

 

Automation of safety-critical systems is one of the most important and challenging areas of AI/ML research, I presented my vision for integrating engineering principles into AI education in a unified way.

Presented at the Seventh Symposium on Educational Advances in Artificial Intelligence.

 

Read more about AI Education Through Real World Problems
Location: 
San Francisco, USA
Presentation Date: 
Sunday, February 5, 2017

Answering Simple Questions About Spatially Spreading Systems

n 2015 Summer Solstice: 7th International Conference on Discrete Models of Complex Systems.

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Location: 
Toronto, Canada
Presentation Date: 
Thursday, June 18, 2015

Presentations

Presentation Date: 
Thursday, January 1, 2015

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