Please note: This master’s thesis presentation will take place in DC 2564.
Gaosen Zhao, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Chengnian Sun
Please note: This PhD defence will take place online.
Bailey Kacsmar, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Florian Kerschbaum
Privacy in machine learning holds great promise for enabling organizations to analyze data they and their partners hold while maintaining data subjects’ privacy.
Please note: This seminar will take place online.
Candid Wüest
Global VP of Research, Acronis
In this technical talk, we will navigate through the intricate world of malware analysis and the methodologies employed by cybersecurity professionals, such as reverse engineering and blackboxing. We’ll contrast traditional methods, like signature-based detection, with more adaptive approaches such as behavior detection.
Please note: This master’s thesis presentation will take place DC 2310.
Justin David San Juan, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Bernard Wong
Please note: This master’s thesis presentation will take place online.
Wei Hu, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Kate Larson
Please note: This PhD defence will take place online.
Yuqing Xie, PhD candidate
David R. Cheriton School of Computer Science
Supervisors: Professors Ming Li, Jimmy Lin
Please note: This PhD seminar will take place online.
Mojtaba Valipour, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Ali Ghodsi
Please note: This PhD seminar will take place in DC 3317 and online.
Joel Wretborn, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Christopher Batty
Please note: This master’s thesis presentation will take place in DC 2564.
Owen Zila, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Nancy Day
Please note: This master’s thesis presentation will take place online.
Shuyang Zhang, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Ming Li
Please note: This master’s thesis presentation will take place in DC 2564.
Xiang Chen, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Jo Atlee
Please note: This master’s thesis presentation will take place online.
Adam Campbell, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Urs Hengartner
Please note: This PhD seminar will take place in DC 1331.
Blake VanBerlo, PhD candidate
David R. Cheriton School of Computer Science
Supervisors: Professors Jesse Hoey, Alexander Wong
Please note: This master’s thesis presentation will take place in DC 3317 and online.
Kanav Mehra, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Kate Larson
Please note: This master’s thesis presentation will take place in DC 2568.
Tejasvi Kashi, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Ken Salem
Please note: This master’s thesis presentation will take place in DC 3317 and online.
Mohammad Hossein Ebtehaj, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Shalev Ben-David
Please note: This master’s thesis presentation will take place online.
Mohsin Hasan, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Pascal Poupart
Please note: This PhD defence will take place in DC 3102 and online.
Damien Masson, PhD candidate
David R. Cheriton School of Computer Science
Supervisors: Professors Daniel Vogel, Géry Casiez, Sylvain Malacria
Please note: This master’s thesis presentation will take place online.
Shadi Ghasemitaheri, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Lukasz Golab
Accurate forest monitoring data are essential for understanding and conserving forest ecosystems. However, the remoteness of forests and the scarcity of ground truth make it hard to identify data quality issues.
Please note: This master’s thesis presentation will take place in DC 3317 and online.
Matthew Regehr, Master’s candidate
David R. Cheriton School of Computer Science
Supervisors: Professors Gautam Kamath, Shai Ben-David
Please note: This PhD defence will take place in DC 1331.
Kaiyu Wu, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Ian Munro
Please note: This master’s thesis presentation will take place in DC 2102 and online.
Steven Lawrence, Master’s candidate
David R. Cheriton School of Computer Science
Supervisors: Professors Kerstin Dautenhahn, Jesse Hoey
As robots increasingly permeate diverse domains such as healthcare, education, service industries, and domestic environments, the significance of understanding and navigating human-robot interactions intensifies.
Please note: This PhD seminar will take place online.
Johra Muhammad Moosa, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Bin Ma
Please note: This PhD seminar will take place online.
Ehsan Ganjidoost, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Jeff Orchard
Please note: This PhD seminar will take place online.
Damien Masson, PhD candidate
David R. Cheriton School of Computer Science
Supervisors: Professors Daniel Vogel, Géry Casiez, Sylvain Malacria