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À¶Ý®ÊÓƵ.AI Seminars

À¶Ý®ÊÓƵ.AI hosts monthly seminar series to foster discussion and collaboration around active topics of AI research at the University of À¶Ý®ÊÓƵ. Each seminar includes a talk by a guest speakerÌýaudience 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 .

Upcoming Seminars

Date Time Location Speaker Topic
TBA TBA TBA TBA TBA

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Past Seminars

Spring 2025

Winter 2025
Date Speaker Topic YouTube Recordings
Wednesday, March 5, 2025 Stefanus Jasin

Revenue Management Meets Inventory Management

 Ìý
Wednesday, March 5, 2025 Neel Sundaresan and Michael Kwok The Postmodern Shift: Generative and Agentic AI in Software Development Ìý
Thursday, March 6, 2025 Marc Lanctot Mastering Board Games by External and Internal Planning with Language Models Ìý
Thursday, March 6, 2025 Eva Dyer Scaling Up Neural Data Pretraining to Uncover Shared Structure in Brain Function Ìý
Thursday, March 13, 2025 Jon Stokes How should we use AI for antibiotic discovery Ìý
Thursday, April 3, 2025 V.S. Subrahmanian Securing the World with AI – Some Adventures Ìý
Tuesday, April 28,Ìý Mathias Lecuyer

Adversarial Robustness and Privacy Measurements using Hypothesis-tests

 Ìý

Fall 2024
Date Speaker Topic YouTube Recordings
Monday, December 9, 2024 Amrit Singh Bedi

Tuning Free (Inference Time) Alignment of Large Language Models
Monday, December 2, 2024 Siva Reddy Unlocking Complex Reasoning With Generative Models Ìý
Thursday, November 28, 2024 Sophia Yun-Hsuan Lien Bridging the Reality Gap in Reinforcement Learning: Robust Algorithms and Techniques for Practical Applications
Friday, October 18, 2024 Agustinus Kristiadi Probabilistic Inference and Decision-Making with Foundation Models for Bayesian Optimization Ìý

Spring 2024

Winter 2024
ÌýDate Speaker Topic
February 2, 2024 Dr. Kevin He Learning from Viral Content
February 21, 2024 Dr. Max Li Uncertainties in the Airspace
March 4th, 2024 Saber Jafarpour Safety Assurance in Learning-enabled Autonomous Systems
March 6th, 2024 Jana Pavlasek Think Graphical Act Local
March 7th, 2024 Jun Gao Generative AI for 3D Content
March 11th, 2024 Dr. Jeremy Wang Ribbit — Canada's first autonomous airplane and R&D platform
March 12th, 2024 Krikamol Muandet Towards Imprecise Generalisation
March 20, 2024 Roya Fallah Firoozi Safe Robot AutonomyÌý
March 27th, 2024 Lunjia Hu
April 1st, 2024 Paths to AI Accountability
April 3rd, 2024 The Long Tail of AI
April 12th, 2024 Adam DziedzicÌý Private Prompt Learning for LLM
April 12th, 2024 Franziska Boenisch Individualized Privacy and Memorization in Machine Learning Models

Fall 2023

Spring 2023

Fall 2022
ÌýDate Speaker Topic Youtube Recordings

Dec.8th, 2022

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

SPRING 2022

WINTER 2022

FALL 2021
Date Speaker Topic Youtube Recordings
Nov. 9, 2021 Deep Reinforcement Learning for Online Combinatorial Optimization: The Case of Bipartite Matching

SPRING 2021

WINTER 2021

FALL 2020
ÌýDate Speaker Topic Youtube Recordings
Dec. 1, 2020 Prof. Graham Taylor Conditional Generative Adversarial Networks: Iterative Generation and Holistic Evaluation
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
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
Nov. 3, 2020 Dr. Emtiyaz Khan Towards Life-Long Deep Learning with Bayes
Oct. 29, 2020 Prof. Vijay Ganesh Machine Learning and Logic Solvers: The Next Frontier Ìý
Oct. 22, 2020 Prof. Fakhri Karray & Prof. Hamid Tizhoosh AI for Managers and Executives - Webinar Series Pt. 1 - Separating Fact From Fiction
Oct. 6, 2020 Prof. Taylor Reinforcement learning in the real world - how to "cheat" and still feel good about it
Sept. 15, 2020 Dr. Ashkan Sami Dependability and Security and How to Improve Both at the Same Time

WINTER 2020

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

Paul Hebert

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

SPRING 2019

WINTER 2019
ÌýÌýDate Speaker Topic
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
ÌýÌýDate Speaker Topic
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

 ArtificialÌýIntelligenceÌý- History, Opportunities and Challenges

Organizing committee

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 À¶Ý®ÊÓƵ.