Events - January 2020

Friday, January 31, 2020 — 1:00 PM EST

PhD Seminar • Human-Computer Interaction — Experimental Analysis of Mode Switching Techniques in Touch-based User Interfaces

Hemant Surale, PhD candidate
David R. Cheriton School of Computer Science

Thursday, January 30, 2020 — 11:30 AM EST

Mathematics Education Seminar • The Great Divide: Analyzing the Transition from High School to University Mathematics

Darja Barr, Department of Mathematics
University of Manitoba

Tuesday, January 28, 2020 — 2:30 PM EST

Seminar • Institute for Quantum Computing — New Insights About Quantum Approximate Counting

Scott Aaronson, David J. Bruton Centennial Professor of Computer Science
University of Texas at Austin

Monday, January 27, 2020 — 12:00 PM EST

PhD Seminar • Scientific Computation | Financial Modelling — Option Data Augmentation Using SABR model and LVF

Ke Nian, PhD candidate
David R. Cheriton School of Computer Science

Monday, January 27, 2020 — 10:30 AM EST

Seminar • Artificial Intelligence | Data Systems — Cold-Start Universal Information Extraction

Lifu Huang, Department of Computer Science
University of Illinois at Urbana–Champaign

Friday, January 24, 2020 — 1:30 PM EST

PhD Seminar • Systems and Networking — Synkletos: A New Approach to Blockchain Consensus Incentive Design

Yuhao Dong, PhD candidate
David R. Cheriton School of Computer Science

Friday, January 24, 2020 — 1:00 PM EST

Seminar • Artificial Intelligence — ALOHA: Artificial Learning of Human Attributes for Dialogue Agents

Steven Y. Feng
David R. Cheriton School of Computer Science

Thursday, January 23, 2020 — 3:00 PM EST

Master’s Thesis Presentation • Systems and Networking — Optimizing MPI Collective Operations for Cloud Deployments

Zuhair AlSader, Master’s candidate
David. R. Cheriton School of Computer Science

Thursday, January 23, 2020 — 10:30 AM EST

Seminar • Software Engineering — Leveraging the Build System to Support Modern Software Release Practices

Shane McIntosh, Department of Electrical and Computer Engineering
McGill University

Wednesday, January 22, 2020 — 4:00 PM EST

Master’s Thesis Presentation • Artificial Intelligence | Machine Learning — Classifier-based Approach for Out-of-distribution Detection

Sachin Vernekar, Master’s candidate
David R. Cheriton School of Computer Science

Wednesday, January 22, 2020 — 12:15 PM EST

PhD Seminar • Data Systems — Differential Computation Optimizations for Path Queries

Khaled Ammar, PhD candidate
David R. Cheriton School of Computer Science

Differential Computation (DC) has shown strong performance for maintaining the answer of different data flow queries as data change over time.

Tuesday, January 21, 2020 — 4:00 PM EST

Master’s Thesis Presentation • Artificial Intelligence | Machine Learning — Safety-Oriented Stability Biases for Continual Learning

Ashish Gaurav, Master’s candidate
David R. Cheriton School of Computer Science

Tuesday, January 21, 2020 — 2:00 PM EST

Master’s Thesis Presentation • Artificial Intelligence | Machine Learning — Closing the Modelling Gap: Transfer Learning from a Low-Fidelity Simulator for Autonomous Driving

Aravind Balakrishnan, Master’s candidate
David R. Cheriton School of Computer Science

Monday, January 20, 2020 — 10:30 AM EST

Seminar • Artificial Intelligence | Machine Learning — Risk-Aware Machine Learning at Scale

Jacob Gardner, Research Scientist
Uber AI Labs

Monday, January 20, 2020 — 9:00 AM EST

Master’s Thesis Presentation • Artificial Intelligence | Machine Learning — Accelerating the Training of Convolutional Neural Networks for Image Segmentation with Deep Active Learning

Wei Tao Chen, Master’s candidate
David R. Cheriton School of Computer Science

Friday, January 17, 2020 — 1:30 PM EST

PhD Seminar • Theoretical Neuroscience — Learning to Cooperate: Emergent Communication in Multi-agent Navigation

Ivana Kajić, PhD candidate
David R. Cheriton School of Computer Science

Friday, January 17, 2020 — 10:30 AM EST

Seminar • Computational Mathematics | Waterloo Artificial Intelligence Institute — Emotion-cognition Interactions as Deep Active Inference

Ryan Smith, Associate investigator
Laureate Institute for Brain Research

Thursday, January 16, 2020 — 10:30 AM EST

Seminar • Cryptography, Security, and Privacy (CrySP) — Finding Semantic Bugs in Kernels: The Symbolic Way and the Fuzzy Way

Meng Xu, School of Computer Science
Georgia Institute of Technology

Wednesday, January 15, 2020 — 10:30 AM EST

Seminar • Software Engineering — On the Effectiveness of Goal-oriented Modeling Languages: Value@GRL vs. i ∗

Silvia Abrahão, Department of Computer Science
Universitat Politècnica de València

Monday, January 13, 2020 — 10:30 AM EST

PhD Defence • Human-Computer Interaction — Systems for Managing Work-Related Transitions

Alex Williams, PhD candidate
David R. Cheriton School of Computer Science

Peoples’ work lives have become ever-populated with transitions across tasks, devices, and environments. Despite their ubiquitous nature, managing transitions across these three domains has remained a significant challenge. Current systems and interfaces for managing transitions have explored approaches that allow users to track work-related information or automatically capture or infer context, but do little to support user autonomy at its fullest.

Friday, January 10, 2020 — 1:30 PM EST