Vector Institute Launches Inaugural Postgraduate Affiliate Program

February 1, 2018

2018 Blog Research 2018

February 1, 2018

The Vector Institute congratulates all members of the inaugural cohort of the Vector Institute Postgraduate Affiliate Program. Established this year, the program will foster collaboration and contributions among students and researchers with expertise in deep learning as well as machine learning and artificial intelligence more broadly. The Postgraduate Affiliate Program will complement similar programs to be launched for faculty and industry professionals to promote a collaborative environment for sharing ideas and expertise at Vector. The inaugural cohort represents a cross-section of research strengths at different Ontario universities and institutions, and includes Master’s students, PhD students and Postdoctoral Fellows known to be pursuing novel research or applications in deep learning or machine learning.

Applicants were evaluated and selected according to the strength of their past research contributions and the alignment of their interests with Vector’s vision, mission, and research strengths. Postgraduate Affiliates will receive an honorarium to support their participation in and contributions towards Vector events and activities. With a strong inaugural group of Postgraduate Affiliates selected for 2018, Vector will seek to enhance and expand the program, with applications for the 2019 cohort to open at the end of the year.

Vector Institute Postgraduate Affiliate Program: 2018 Cohort

  • Ahmed Ashraf, University of Toronto
  • Alberto Camacho, University of Toronto
  • Andrew Boutros, University of Toronto
  • Aryan Arbabi, University of Toronto
  • Dmitry Marin, Western University
  • Elham Dolatabadi, University of Toronto
  • Ershad Banijamali, University of Waterloo
  • Ethan Jackson, Western University
  • Felix Berkenkamp, University of Toronto
  • Ga Wu, University of Toronto
  • Hassan Ashtiani, University of Waterloo
  • Ian Smith, University of Toronto
  • Jin Hee Kim, University of Toronto
  • Kathleen Houlahan, University of Toronto
  • Kiret Dhindsa, McMaster University
  • Laleh Soltan Ghoraie, Princess Margaret Cancer Centre
  • Mahtab Ahmed, Western University
  • Matthew Tesfaldet, York University
  • Mehran Karimzadeh, University of Toronto
  • Mohamed Khairy Helwa, University of Toronto
  • Nabiha Asghar, University of Waterloo
  • Omar Boursalie, McMaster University
  • Petr Smirnov, University of Toronto
  • Rober Boshra, McMaster University
  • Robin Swanson, University of Toronto
  • Rodrigo Toro Icarte, University of Toronto
  • Sean Robertson, University of Toronto
  • Shazia Akbar, University of Toronto
  • Shehroz Khan, University of Toronto
  • SiQi Zhou, University of Toronto
  • Stavros Tsogkas, University of Toronto
  • Tristan Aumentado-Armstrong, University of Toronto

The pan-Canadian AI strategy, led by CIFAR, promotes collaboration between the Vector Institute, the Alberta Machine Intelligence Institute (amii) and the Institut québécois d’intelligence artificielle (MILA).



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