Program

  • 9am to 12:20pm:  Expert talks, with a coffee break

  • 12:30pm to 1:30pm: Lunch

  • 1:30pm to 4:15pm: Presentations from local researchers and labs

  • 4:15pm to 6pm:  Poster session  

The event included a networking breakfast (8:30-9:00am), a lunch event (12-1pm), and a networking reception alongside the poster session (4:00-6:00pm).

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Full Schedule

08:30- 09:00  - Registration and Breakfast    

09:00- 12:20 - MORNING SESSIONS

  • Welcome and introductions by Drs Simon Bacon (Concordia University) and Eric Granger (École de technologie supérieure)

  • “Toward AI-driven Understanding of Health and Emotions Everywhere” - Ali Etemad, PhD (Queen's University, Canada)  

  • “Affective Computing & Healthcare: Models of Affect and Approaches with a view on Fairness and Explainability” - Dimitrios Kollias, PhD (Queen Mary University of London, UK)

  • “The Role of AI in Enhancing Older Adults’ Lives” - Samira Rahimi, PhD (Canada Research Chair in AI and Advanced Digital Primary Health Care)

  • “Using the Insight mHealth Platform to Rapidly Develop and Deploy Smartphone-Based Assessments and Interventions” - Michael Businelle, PhD (University of Oklahoma Health Sciences Center, USA)

  • Discussion Q & A    

12:20 - 13:30 - LUNCH 

13:30 - 16:15 -  AFTERNOON SESSION

  • Innovation, Technology, and Cognition Laboratory (INTECOG) - Alexander Moreno, PhD (Centre de recherche de l’Institut universitaire de gériatrie de Montréal, Canada)

  • Computational Health Informatics Laboratory - Jesse Hoey, PhD (University of Waterloo, Canada)

  • Dr. Nitika Pant Pai’s Laboratory - Nikita Pai, PhD (McGill University, Canada)

  • Cognitive and Computational Neuroscience Lab - Karim Jerbi, PhD (Université de Montréal, Canada)

  • Behavioural Health Innovations (BHI) Lab - Nicole Alberts, PhD (Concordia University, Canada)

  • The Surveillance Lab (McGill) & The Data Science Group (MUHC) - David Buckeridge, PhD (McGill University, Canada)

  • The Aging Team at UHN’s Kite Research Institute - Babak Taati, PhD (University of Toronto, Canada)

  • Applied Perception Lab - Marta Kersten Oertel, PhD (Concordia University, Canada)

  • Ubisoft La Forge - Marc-André Carbonneau, PhD (Ubisoft La Forge, Montreal, Canada)

  • Closing Ceremony

16:15 - 18:00 - RECEPTION AND POSTER SESSION

Event presented in partnership with:

  • Fonds de recherche du Québec - santé

  • Concordia University

  • École de technologie supérieure (ÉTS Montréal)

  • Laboratoire d’imagerie, de vision et d’intelligence artificielle (LIVIA)

  • Montréal Behavioural Medicine Centre

Developing effective technological solutions for behaviour change requires an interdisciplinary approach.

Coupling evidence-based behaviour change theories and techniques with advanced/deep learning and signal processing tools is a highly promising way to create effective technologies, revolutionize healthcare, and enhance patient and population health outcomes.

Come explore how computer and health sciences are working together to develop effective solutions for e-health applications and health behaviour change.

Learn more about groundbreaking research in the field of digital health where evidence-based behavioral change theories and techniques combine with advanced deep learning, machine learning, affective computing, signal processing, and AI to maximize the potential of e-health applications, interventions and assessments.