Saturday, May 5, 2018 (all day)

GIRLsmarts4tech is an outreach program aimed at inspiring girls to explore technology. During the day-long workshop, girls will learn about various aspects of computer science, including mobile app design and programming, user interfaces, and how computer science applies in other fields and disciplines.

Grades 7 and Grade 8 girls who have no programming experience and who are interested in learning computer science are encouraged to register for this event.

Friday, May 4, 2018 — 5:00 PM to Sunday, May 6, 2018 — 5:00 PM EDT

Equithon is a student-run hackathon where participants create solutions for a variety of social equality issues. Our goal is to create an inclusive environment where all attendees feel comfortable learning, sharing their ideas, and making something amazing that can improve the lives of many.

Friday, May 4, 2018 — 2:00 PM EDT

Meng Tang, PhD candidate
David R. Cheriton School of Computer Science

Friday, May 4, 2018 — 1:30 PM EDT

Xinan Yan, PhD candidate
David R. Cheriton School of Computer Science

Thursday, May 3, 2018 — 2:00 PM EDT

Daniel Recoskie, PhD candidate
David R. Cheriton School of Computer Science

Thursday, May 3, 2018 — 11:00 AM EDT

Edward Cheung, PhD candidate
David R. Cheriton School of Computer Science

Thursday, May 3, 2018 — 8:30 AM EDT

Andrew Pham, Master’s candidate
David R. Cheriton School of Computer Science

Modern software development workflows are considerably agile, meaning that the work is broken up into individual stories or pieces that are divvied up among the engineers on a team. Each developer is responsible for a certain number of units of work per two-week sprint and must also manage the backlog to make sure that pending features are correctly prioritized, delegated, and removed if necessary. 

Wednesday, May 2, 2018 — 1:30 PM EDT

Dimitrios Skrepetos, PhD candidate
David R. Cheriton School of Computer Science

Monday, April 30, 2018 — 1:30 PM EDT

Lesley Istead, PhD candidate
David R. Cheriton School of Computer Science

Monday, April 30, 2018 — 10:00 AM EDT

Bahareh Sarrafzadeh, PhD candidate
David R. Cheriton School of Computer Science

Friday, April 27, 2018 — 1:30 PM EDT

Milan Jain, PhD Scholar in Computer Science
Indraprastha Institute of Information Technology Delhi

Friday, April 27, 2018 — 11:30 AM EDT

Rafael Olaechea Velazco, PhD candidate
David R. Cheriton School of Computer Science

Software behavioural models, such as finite state machines, are used as an input to model checking tools to verify that software satisfies its requirements. As constructing such models by hand is time-consuming and error-prone, researchers have developed tools to automatically extract such models from systems’ execution traces. 

Friday, April 27, 2018 — 9:30 AM EDT

Lisa Elkin, Master’s candidate
David R. Cheriton School of Computer Science

Thursday, April 26, 2018 — 10:30 AM EDT

Rachel Pottinger, Department of Computer Science
University of British Columbia

Users are faced with an increasing onslaught of data, whether it's in their choices of movies to watch, assimilating data from multiple sources, or finding information relevant to their lives on open data registries. In this talk I discuss some of the recent and ongoing work about how to improve understanding and exploration of such data, particularly by users with little database background.

Thursday, April 26, 2018 — 10:00 AM EDT

Amir-Hossein Karimi, Master’s candidate
David R. Cheriton School of Computer Science

Tuesday, April 24, 2018 — 2:00 PM EDT

Chunhao Wang, PhD candidate
David R. Cheriton School of Computer Science

We present a quantum algorithm for simulating the dynamics of Hamiltonians that are not necessarily sparse. Our algorithm is based on the assumption that the entries of the Hamiltonian are stored in a data structure that allows for the efficient preparation of states that encode the rows of the Hamiltonian. We use a linear combination of quantum walks to achieve a poly-logarithmic dependence on the precision. 

Tuesday, April 24, 2018 — 1:00 PM EDT

Chunhao Wang, PhD candidate
David R. Cheriton School of Computer Science

We give a dissipative quantum search algorithm that is based on a novel dissipative query model. If there are $N$ items and $M$ of them are marked, this algorithm performs a fixed-point quantum search using $O(\sqrt{N/M}\log(1/\epsilon))$ queries with error bounded by $\epsilon$. In addition, we present a continuous-time version of this algorithm in terms of Lindblad evolution.

Monday, April 23, 2018 — 1:00 PM EDT

Weicong Ma, Master’s candidate
David R. Cheriton School of Computer Science

Monday, April 23, 2018 — 10:30 AM EDT

Barzan Mozafari, Department of Computer Science and Engineering
University of Michigan

Friday, April 20, 2018 — 10:30 AM EDT

Lei Zou, Institute of Computer Science and Technology
Peking University

Friday, April 20, 2018 — 9:30 AM EDT

Zhucheng Tu, Master’s candidate
David R. Cheriton School of Computer Science

Thursday, April 19, 2018 — 2:30 PM EDT

Joel Reardon, Assistant Professor
Department of Computer Science, University of Calgary

Wednesday, April 18, 2018 — 11:00 AM EDT

Jeff Avery, PhD candidate
David R. Cheriton School of Computer Science

Despite the ubiquity of touch-based input and the availability of increasingly computationally powerful touchscreen devices, there has been comparatively little work on enhancing basic canonical gestures such as swipe-to-pan and pinch-to-zoom. 

Wednesday, April 18, 2018 — 10:00 AM EDT

Anastasia Kuzminykh, PhD candidate
David R. Cheriton School of Computer Science

While technologies exist that are either marketed for or can be adapted to the monitoring of toddlers and school-age children, parents' perspectives on these technologies have received only limited attention. 

Wednesday, April 18, 2018 — 9:00 AM EDT

Rina Wehbe, PhD candidate
David R. Cheriton School of Computer Science

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