Mission & Vision

AI2 mission is focused on leveraging the advances in machine learning and deep learning methodologies to discover, develop and evaluate algorithms to model complex and nonlinear dynamical systems. The lab provides the leadership, expertise, resources and infrastructure to foster scholarly activities, disseminate knowledge and scientific discoveries, and promote interdisciplinary research.

Our vision is to become a leading laboratory for innovative and collaborative research in deep/machine learning. We strive to:

  • Conduct fundamental and applied research in machine learning
  • Disseminate knowledge through publication in leading journals
  • Maintain capability to assist industry by providing technical expertise
  • Train highly qualified personnel
  • Advocate the growth in AI-related education

Competition Awards

  • People's Choice Award, Presented by Canada Life, Angels Den 2020
  • Top 10, SPIE-BreastPathQ Cancer Celluarity Challenge 2018
  • National Runner-up, Thales Student Innovation Championship 2018

News & Announcements

  • Sept 2020:

    AI2 participates in the "Angels Den 2020". The "Smart Textile Garment" project is awarded the "People's Choice Award, Presented by Canada Life". Click here for more information.

  • July 2020:

    AI2 jointly host a Game Dev workshop from July till August.

  • July 2020:

    Alex Dela Cruz organizes a 5 session Deep Learning (NLP) workshop jointly hosted by AI2 and IEEE.Click here for more information.

  • April 2020:

    Kayvan Tirdad is invited to speak at the "6th Annual Earth Day Environmental Webiner". The topic of the talk is "Artificial Intellegence for the Earth"

  • October 2019:

    Kayvan Tirdad is invited to speak at the "2019 Canadian Institue for Militray and Veterian Health Research (CIMVHR) Forum". The topic of the talk is "Convolutional Neural Network-base Representation of Diffusion Tensor Imaging to Classify Concussion Patients"

  • August 2019:

    Alex Dela Cruz presents a workshop jointly hosted by AI2 and IEEE on "Generative Adversarial Network". Click here for more information.

  • August 2019:

    Alex Dela Cruz presents a workshop jointly hosted by AI2 and IEEE on "Transer Learning". Click here for more information.

  • August 2019:

    Alex Dela Cruz presents a workshop jointly hosted by AI2 and IEEE on "Long Short-term Memory". Click here for more information.

  • August 2019:

    Mahshid Farzaneh presents a workshop jointly hosted by AI2 and IEEE on "Convolutional Neural Network". Click here for more information

  • August 2019:

    Kayvan Tirdad presents a workshop jointly hosted by AI2 and IEEE on "Multi-layer Perceptron using Tensorflow". Click here for more information.

  • April 2019:

    AI2 members (Kayvan Tirdad, and Alex Dela Cruz) are invited to speak at the "2019 Third Northeast Regional Conference on Complex Systems" (NERCCS 2019). The topic of the presentation are "A Neuro-Wavelet Approach to Electric Arc Furnace Modeling" and "Deep Learning Based Cancer Classification of Pathology using Cancer Cellularity Score of Pathology Patches"

  • February 2019:

    AI2 members (Kayvan Tirdad, and Alex Dela Cruz) are invited to present a poster at "2019 SPIE Medical Imaging". They will be present a poster on "Cancer Celluarity Score Prediction in Breast Cancer Pathology Patches Based on Deep Learning and Convolutional Neural Networks"

  • December 2018:

    AI2 members (Kayvan Tirdad, and Alex Dela Cruz) participate in the "2018 SPIE-BreastPathQ Cancer Celluarity Challenge" and globally rank in the top 10

  • November 2018:

    AI2 members (Kayvan Tirdad, Alex Dela Cruz, and Cory Austin) participate in the "2018 Thales Student Innovation Championship" and rank second nationwide. Click here for more information.

  • November 2018:

    AI2 members are invited to attend the "Self-Organizing Conference on Machine Learning" (SOCML 2018)

  • October 2017:

    Dr. Alireza Sadeghian is invited to speak at this year's iBest Symposium. The topic of the talk is "Applications of Deep Learning in Healthcare"


Video Highlights