Upcoming Events:

Machine Learning for Brain Health Symposium

Date & Time:: September 7, 2018
(8:00 am - 6:00 pm)

Location:: St. Joseph’s Healthcare
100 West 5th St.
Hamilton, Ontario

Event Contact:: Janet Delsey
delsey@mcmaster.ca
905-525-9140, ext. 24910

Friday, September 7, 2018 | Hamilton, Ontario

Overview

The machine learning paradigm is a major new frontier in brain research. It has been used for multiple purposes relating to disorders of consciousness, and for diagnosing and treating psychiatric illness. It is also the driving engine behind brain-computer interfaces. This symposium is a venue for expanding on the current understanding of the interactions between machine learning and brain health.

A group of renowned local, national and international speakers will be discussing diverse topics such as archiving brain data in various forms, the role of machine learning as it relates to mental health and disorders of consciousness, and neuro-engineering applications of machine learning.

Participants at the event will gain an opportunity to interact with prominent researchers in the field, and will also be exposed to the latest ideas in this emerging and exciting area of research.

Researchers are invited to submit a poster on their recent work relating to machine learning and brain health.

This symposium is a joint venture by McMaster's Faculties of Health Sciences, Science, Engineering and the Humanities Centre for Advanced Research in Experimental and Applied Linguistics (ARiEAL).

McMaster University Organizers:

	Sue Becker Professor, Department of Psychology, Neuroscience & Behaviour Associate Member, Department of Linguistics & Languages Member, School of Computational Science and Engineering Member, McMaster Integrative Neuroscience & Discovery Program Faculty Affiliate, Vector AI Institute Adjunct Member, Centre for Vision Research, York University Member, Spatial Learning Network, Spatial Intelligence and Learning Centre
	John Connolly Director of ARiEAL Professor, Department of Linguistics and Languages Co-Director, Language, Memory and Brain Lab Supervisory Member, McMaster Integrative Neuroscience Discovery & Study (MiNDS) Associate Member, Department of Psychology, Neuroscience & Behaviour Faculty, School of Biomedical Engineering
	Flávio Kapczinski Professor, Department of Psychiatry & Behavioural Neuroscience Director, Graduate Program in Neurosciences
	James (Jim) Reilly Professor, Department of Electrical & Computer Engineering Professor, McMaster School of Biomedical Engineering Full Member, ARiEAL Member, McMaster Integrative Neuroscience & Discovery Program Faculty Affiliate, Vector AI Institute

Speakers

Keynote Speakers

	Sylvain Baillet Professor Neurology and Neurosurgery Biomedical Engineering and Computer Science School of Computer Science, McGill University Montreal, Canada
	Martin M. Monti Associate Professor Psychology UCLA Los Angeles, California
	Klaus-Robert Müller Professor and Chair Machine Learning Department Institute of Software Engineering and Theoretical Computer Science Berlin, Germany
	Jose C. Principe Distinguished Professor, NeuroEngineering Lab Professor, ECE Director Computational NeuroEngineering Lab University of Florida Gainesville, Florida
	Stephen Strother Professor Medical Biophysics University of Toronto

Confirmed Invited Speakers

Narges Armanfard - Assistant Professor, Department of Electrical & Computer Engineering,
McGill University, Montreal, Canada (August 1, 2018)

Bo Cao - Assistant Professor, Psychiatry, The University of Alberta

Andrew R. Dykstra - The Brain and Mind Institute, University of Western Ontario

Faranak Farzan - Assistant Professor, School of Mechatronic Systems Engineering; Chair in Technology Innovations for Youth Addiction Recovery and Mental Health, Simon Fraser University

Tomas Hajek - Professor, Psychiatry, Dalhousie University

Ives Passos - Professor, Psychiatry, Federal University, Brazil

Garth Smith - Director, Industry Relations, Ontario Brain Institute

Agenda

Abstract titles coming soon.

8:00 am	Registration and coffee
THEME 1: BRAIN CODE
8:30 - 10:00 am	Presenters from Ontario Brain Institute (Garth Smithh and Brendan Behan) and Indoc Research Brain-CODE – A comprehensive informatics platform for research data federation, query and analysis
10:00 - 10:30 am	Keynote: Stephen Strother, University of Toronto
10:30 - 11:00 am	Refreshment break
THEME 2: COMA, DISORDERS OF CONSCIOUSNESS
11:00 - 11:30 am	Andrew Dykstra, University of Western Ontario
11:30 - 12:00 am	Narges Armanfard, McGill University
12:00 - 12:30 pm	Keynote: Martin M. Monty, UCLA
12:30 - 2:00 pm	Lunch and Poster Session
THEME 3: MENTAL HEALTH
2:00 - 2:20 pm	Bo Cloud Cao, The University of Alberta
2:20 - 2:40 pm	Ives Passos, Federal University Predicting mood disorders in a cohort of bipolar offspring
2:40 - 3:00 pm	Tomas Hajek, Psychiatry, Dalhousie University
3:00 - 3:30 pm	Panel Discussion
3:30 - 14:00 pm	Refreshment break
THEME 4: NEUROENGINEERING APPLICATIONS FOR BRAIN HEALTH
4:00 - 4:30 pm	Keynote: Jose Principe, University of Florida
4:30 - 5:00 pm	Keynote: Sylvain Baillet, McGill University
5:00 - 5:30 pm	Faranak Farzan, Mechatronics Engineering, SFU
5:30 - 6:00 pm	Keynote: Klaus-Robert Mueller, Institute of Software Engineering and Theoretical Computer Science

Registration/Poster Submission

Please register here

Registration fee includes admission to all talks, poster session, lunch and coffee breaks.

Regular: $50
Student / PostDoc: $0

Registration deadline: Friday, August 31

Poster Submission

Researchers are invited to submit a poster on their recent work relating to:

machine learning
brain modeling
neural data analysis
neuro imaging

Please submit a 250-word abstract. Poster should be A0 format (33.1 x 46.8 in) with portrait (vertical) orientation.

Registration deadline if submitting a poster: Friday, August 24

Location

St. Joseph's Healthcare
West 5th Campus
100 West 5th Street
Hamilton, ON L8N 3K7

Sessions take place in the Auditorium on Level 1

Parking

Parking is available in the special event lot (5 minute walk to building) for $10 per day. This must be purchased in advance with your registration and a parking pass will be sent to you. There is a limited amount of parking closer to the building ($20 per day payable at machine on-site), but these lots are best left for patients and short-term visitors.