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Seminar Series - Banner

Waterloo.AI hosts monthly seminar series to foster discussion and collaboration around active topics of AI research at University of Waterloo. Each seminar includes a talk by a guest speaker audience discussion, and a following reception with light refreshments for further discussion and networking. Please click the topic links for details. Past seminar recordings are available on YouTube.

Upcoming Seminars

Date Platform Speaker Topic
Thursday Dec. 8th, 2022
1:00 PM - 2:30 PM (EDT)

In-person location: DC 1304


Zoom Link: https://uwaterloo.zoom.us/j/91756150722?pwd=NzZxb0NTNWpLSjB6OEJjdVBWUjc5dz09

Ali Ayub Long-term Real World Autonomy for Assistive Robots

Past Seminars

Fall 2022

 Date Speaker Topic Video
Nov. 10th, 2022
 
Boris Ivanovic Research Scientist in Nvidia's Autonomous Vehicle Research Group Effectively Integrating Behavior Prediction within the Modern Robotic Autonomy Stack
Boris Ivanovic
Oct. 13th, 2022 Prof. Abbas Houssam, Oregon State University Logic-Based Computational Ethics for Autonomous Agents
Prof. Abbas Houssam, Oregon State University
Sept. 8th, 2022 Dr. Radoslav Ivanov Safe autonomy within reach: a verified machine learning and control perspectiv
Radoslav Ivanov

SPRING 2022

WINTER 2022

FALL 2021

SPRING 2021

WINTER 2021

FALL 2020

 Date Speaker Topic Video
Dec. 1, 2020 Prof. Graham Taylor Conditional Generative Adversarial Networks: Iterative Generation and Holistic Evaluation
Prof. Graham Taylor
Nov. 19, 2020 Prof. Peter van Beek, Prof. Hamid Tizhoosh, Prof. Kate Larson, Prof. Wayne Chang, Kevin Tuer (Communitech), & Prof. Charles Clarke AI for Managers and Executives - Webinar Series Pt.3 - Preparing Your Organization to Leverage AI at Scale
Prof. Peter van Beek, Prof. Hamid Tizhoosh, Prof. Kate Larson, Prof. Wayne Chang, Kevin Tuer (Communitech), & Prof. Charles Clarke
Nov. 5, 2020

Prof. Peter van Beek, Prof. Wayne Chang & Prof. Pascal Poupart

Graduate Students:
Stefanie Bruinsma, Esteban Veintimalla & Cristen Brown

AI for Managers and Executives - Webinar Series Pt. 2 - From the Lab to Production
Prof. Peter van Beek, Prof. Wayne Chang & Prof. Pascal Poupart
Nov. 3, 2020 Dr. Emtiyaz Khan Towards Life-Long Deep Learning with Bayes
Dr. Emtiyaz Khan
Oct. 29, 2020 Prof. Vijay Ganesh Machine Learning and Logic Solvers: The Next Frontier  
Oct. 22, 2020 Prof. Fakhri Karray & Prof. Hamid Tizhoosh AI for Managers and Executives - Webinar Series Pt. 1 - Separating Fact From Fiction
Prof. Fakhri Karray & Prof. Hamid Tizhoosh
Oct. 6, 2020 Prof. Taylor Reinforcement learning in the real world - how to "cheat" and still feel good about it
Prof. Taylor
Sept. 15, 2020 Dr. Ashkan Sami Dependability and Security and How to Improve Both at the Same Time
Dr. Ashkan Sami

WINTER 2020

FALL 2019

  Date Speaker Topic Video
Dec. 6, 2019 Qiang Liu Recent Applications of Stein's Method in Machine Learning  
Dec. 5, 2019 Kristian Kersting Deep Machines That Know When They Do not Know  
Nov. 22, 2019

Paul Hebert

Progress Towards Planetary Biosurveillance  
Nov. 8, 2019 Chris Eliasmith Spiking Neural Networks for More Efficient AI Algorithms
Chris Eliasmith
Oct. 4, 2019 Pascal Poupart Unsupervised Video Object Segmentation for Deep Reinforcement Learning
Prof. Pascal Poupart
Sept. 12, 2019 Mark Crowley Artificial Intelligence on Fire!
Mark Crowley

SPRING 2019

WINTER 2019

  Date Speaker Topic Video
Apr. 29, 2019 Kerstin Dautenhahn Human-robot interaction: Challenges and Opportunities  
Mar. 25, 2019 Seyed Majid Zahedi Game-Theoretic Approach to Resource Management in Computer Systems  
Mar. 1, 2019

Amir Shabani

Human-centered Intelligent Systems  
Feb. 25, 2019 Khalid Al-Kofahi AI and ML at Thomson Reuters  
Jan. 28, 2019 Yuri Boykov Reconstructing Whole Vessel-tree: Challenges, Geometric Priors, and Optimization  
Jan. 25, 2019 Xiao-Ping Zhang Multimedia Machine Learning/AI for Multimedia Content Analysis  

 

FALL 2018

  Date Speaker Topic Video
Nov. 26, 2018 Robin Cohen Trust modelling in multiagent systems: a look back and a look ahead  
Oct. 29, 2018 Vijay Ganesh Machine Learning for SAT Solvers  
Sept. 24, 2018

Hamid Tizhoosh

Artificial Intelligence - History, Opportunities and Challenges  

Organizing committee

 

Prof. Pascal Poupart

Prof. Pascal Poupart

David R. Cheriton School of Computer Science
Faculty of Mathematics

 

Dr. Yash Vardhan Pant

Dr. Yash Vardhan Pant

Department of Electrical and Computer Engineering at the University of Waterloo.