Please note: This PhD defence will take place in DC 2314 and virtually.
Glaucia Melo dos Santos, PhD candidate
David R. Cheriton School of Computer Science
Supervisors: Professors Paulo Alencar, Daniel Berry, Donald Cowan
Please note: This CrySP Speakers Series on Privacy talk will take place in DC 1302 and virtually.
Marina Blanton, Associate Professor
Department of Computer Science and Engineering, University at Buffalo
Please note: This PhD defence will take place in DC 2310.
Besat Kassaie, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Frank Tompa
Please note: This PhD seminar will take place in E7 6323 and virtually.
Nicole Sandra-Yaffa Dumont, PhD candidate
David R. Cheriton School of Computer Science
Supervisors: Professors Jeff Orchard, Chris Eliasmith
Please note: This PhD seminar has been rescheduled. It will take place in DC 1304 and virtually on Thursday, October 12, 2023.
Rosina Kharal, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Trevor Brown
The Cheriton School of Computer Science invites you to attend the 2023 Cheriton Research Symposium.
Learn, engage in discussion, and share findings at this showcase of research excellence made possible by David R. Cheriton’s generous investment in education.
Please note: This PhD seminar will take place online.
Sajin Sasy, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Ian Goldberg
Please note: This master’s thesis presentation will take place in DC 3317 and online.
Cheryl Lao, Master’s candidate
David R. Cheriton School of Computer Science
Supervisors: Professors Daniel Vogel, Craig Kaplan
Please note: This seminar will take place in M3 4206 and online.
Sepehr Assadi, Associate Professor
David R. Cheriton School of Computer Science
Please note: This seminar will take place in DC 3102.
Akshay Ramachandran, Postdoctoral Researcher
Centrum Wiskunde & Informatica
Please note: This talk will take place in DC 1302 and online.
Gururaj Saileshwar, Assistant Professor
Department of Computer Science, University of Toronto
Please note: This seminar will take place in DC 1304.
Axel-Cyrille Ngonga Ngomo, Professor of Data Science
Paderborn University
RDF knowledge bases are now first-class citizens of the Web with over 100 billion RDF assertions in the 2022 WebDataCommons crawl. Developing explainable machine learning approaches tailored towards this data is hence a task of increasing importance.
Please note: This master’s thesis presentation will take place in DC 3317 and online.
Gautam Pathak, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Trevor Brown
Please note: This master’s thesis presentation will take place in DC 3317 and online.
Saralin Zassman, Master’s candidate
David R. Cheriton School of Computer Science
Supervisors: Professors Daniel Vogel, Craig Kaplan
We design and evaluate Mindless Scroll, a mobile application for mindfulness that encourages a slow and deliberate approach to colouring. The app provides a visually immersive user experience in contrast to the majority of mindfulness-based mobile apps that focus on audio-based methods.
Please note: This master’s thesis presentation will take place online.
Norhan Abbas, Master’s candidate
David R. Cheriton School of Computer Science
Supervisors: Professors Mei Nagappan, Diogo Barradas
Please note: This master’s thesis presentation will take place in DC 2102.
Theodore Vanderkooy, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Khuzaima Daudjee
Please note: This half-hour seminar will take place in M3 4206 and online.
Vahid Asadi, PhD candidate
David R. Cheriton School of Computer Science
Please note: This half-hour seminar will take place in M3 4206 and online.
Robert Wang, PhD candidate
David R. Cheriton School of Computer Science
Please note: This PhD seminar will take place in DC 2564 and online.
Zhenyang Xu, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Chengnian Sun
Please note: This SyN seminar will take place in DC 1304.
Sara Qunaibi, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Samer Al-Kiswany
We present a comprehensive empirical study of the impact partial network partitions have on cluster managers in data analysis frameworks. Our study shows that modern scheduling approaches are vulnerable to partial network partitions. Partial partitions can lead to a complete cluster pause or a significant loss of performance.
Please note: This master’s thesis presentation will take place in DC 2102.
Christopher West, Master’s candidate
David R. Cheriton School of Computer Science
Supervisors: Professors Anita Layton, Justin Wan
Kidney cancer is a well-studied and highly prevalent cancer in which tumors grow and obstruct the functional tissues of the kidney. Medical imaging is commonly used to diagnose and verify the presence of these kidney tumors and can give some qualitative intuition on the scope of their proliferation.
Please note: This master’s thesis presentation will take place online.
Sayed Mohammad Amin Khodaee, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor J. Ian Munro
Please note: This seminar will take place online.
Armando Santos
Well-Typed/Haskell Consultants
Please note: This seminar will take place online.
Ben Armstrong, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Kate Larson
Please note: This master’s thesis presentation will take place in DC 3317.
Colby Parsons, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Peter Buhr
Concurrent programs are notoriously hard to program and even harder to debug. Furthermore, concurrent programs must be performant, as the introduction of concurrency into a program is often done to achieve some form of speedup.