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Tuesday, April 4, 2023 12:30 pm - 1:30 pm EDT (GMT -04:00)

Master’s Thesis Presentation • Data Systems • Data-driven Estimation of Soiling Loss and Optimal Cleaning Schedule for a Utility-scale PV Plant

Please note: This master’s thesis presentation will take place online.

Abhinav Bora, Master’s candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Srinivasan Keshav, Lukasz Golab

photo of Joel Wretborn
Friday, March 17, 2023

Joel Wretborn and colleagues win Emerging Technology Award at Annual VES Awards for water simulation toolset used in Avatar: The Way of Water

PhD candidate Joel Wretborn and his colleagues Alexey Stomakhin and Steve Lesser at the New Zealand–based visual effects studio WētāDigital x Unity and Douglas McHale at WētāFX have won an Emerging Technology Award at the 21st annual Visual Effects Society Awards for their water simulation toolset used in Avata

Tuesday, March 28, 2023 9:00 am - 10:00 am EDT (GMT -04:00)

Master’s Thesis Presentation • Machine Learning • Approaches and Techniques to Enhance Efficiency and Performance of Non-Contrastive Self-Supervised Learning Methods

Please note: This master’s thesis presentation will take place online.

Ali Saheb Pasand, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Ali Ghodsi

Thursday, March 23, 2023 10:30 am - 11:30 am EDT (GMT -04:00)

Seminar • Software Engineering • Execution-guided Learning for Software Development, Testing, and Maintenance

Please note: This seminar will take place in DC 1304 and virtually over Zoom.

Pengyu Nie, PhD candidate
Department of Electrical and Computer Engineering
University of Texas at Austin

Monday, March 20, 2023 10:30 am - 11:30 am EDT (GMT -04:00)

Seminar • Cryptography, Security, and Privacy (CrySP) • Cryptography, Security, and Law

Please note: This seminar will take place in DC 1304 and virtually over Zoom.

Sunoo Park
Postdoctoral Fellow, Columbia University
Visiting Fellow, Columbia Law School

My research focuses on the security, privacy, and transparency of technologies in societal and legal context. My talk will focus on three of my recent works in this space, relating to (1) preventing exploitation of stolen email data, (2) enhancing accountability in electronic surveillance, and (3) legal risks faced by security researchers.

Friday, March 24, 2023 11:00 am - 12:00 pm EDT (GMT -04:00)

PhD Seminar • Software Engineering • An Empirical Study on Dotfile Repositories Containing User-specific Configuration Files

Please note: This PhD seminar will take place in DC 2564.

Wenhan (Cosmos) Zhu, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Michael Godfrey

photo of Nikhita Joshi, Antony Albert Raj Irudayaraj, and Daniel Vogel
Monday, March 13, 2023

Team of HCI researchers create futuristic office chair to support work activities with spatial augmented reality

Some chairs may look futuristic, but a particular chair at the Cheriton School of Computer Science is futuristic. It has been custom fitted with sensors, servos, computers and a small projector by a team of human-computer interaction researchers to create an office chair as a platform for personal spatial augmented reality.

Tuesday, May 9, 2023 9:00 am - 12:00 pm EDT (GMT -04:00)

PhD Defence • Artificial Intelligence • Improved Scalability and Accuracy of Bayesian Network Structure Learning in the Score-and-Search Paradigm

Please note: This PhD defence will take place online.

Charupriya Sharma, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Peter van Beek

photo of Andreea Pool and Lesley Istead in the Davis Centre
Thursday, March 9, 2023

Cheriton School of Computer Science researchers paint a picture of six decades of movies

From the sepia tones of a Coen brothers film set in the Dust Bowl to a child’s red coat in Schindler’s List, filmmakers have long known the power of colour in movies. Now, computer scientists have analyzed 60 years of movies to paint a picture of the hues used in films.

Using a technique called k-means clustering, researchers at the Cheriton School of Computer Science have analyzed the trailers for more than 29,000 North American movies released between 1960 and 2019.