PhD Defence • Artificial Intelligence | Machine Learning — Likelihood-based Density Estimation using Deep Architectures
Priyank Jaini, PhD candidate
David R. Cheriton School of Computer Science
Priyank Jaini, PhD candidate
David R. Cheriton School of Computer Science
Spyros Angelopoulos, CNRS Researcher
Laboratoire d'informatique de Paris 6 (LIP6), Sorbonne Université
The University of Waterloo Human Factors and Ergonomics Society is proud host IUW19 — the Inter-University Workshop — for its 20th anniversary.

Sangho Suh, PhD candidate
David R. Cheriton School of Computer Science
Jessy Ceha, PhD candidate
David R. Cheriton School of Computer Science
Sepehr Taeb, Master’s candidate
David R. Cheriton School of Computer Science
Researchers have developed a powerful new tool that allows programmers to engage with work on their mobile devices to help make productive use of time away from their workplace.
In a new study done in collaboration with Microsoft Research, the team of researchers created a prototype tool called Mercury that lets programmers continue working on their mobile devices if they need to leave their desk to pick up when they return to their workstation. Currently, programmers often spend a substantial amount of time at their primary workstation to make productive use of their workdays.
Mirmojtaba Gharibi, PhD candidate
David R. Cheriton School of Computer Science
Mirmojtaba Gharibi, PhD candidate
David R. Cheriton School of Computer Science
Mirmojtaba Gharibi, PhD candidate
David R. Cheriton School of Computer Science