Program

  • 9am to 12:30:  Expert talks, with a coffee break

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

  • 4pm to 6pm:  Poster session  

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

Expert talks from Ali Etemad, Dimitrios Kollias, and Michael Businelle - Read more

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.