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Tuesday, September 5, 2023 1:00 pm - 4:00 pm EDT (GMT -04:00)

PhD Defence • Human-Computer Interaction • Low-resolution Customizable Ubiquitous Displays

Please note: This PhD defence will take place online.

Antony Albert Raj Irudayaraj, PhD candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Daniel Vogel, Omid Abari

Friday, September 8, 2023 2:00 pm - 3:00 pm EDT (GMT -04:00)

PhD Seminar • Machine Learning | Natural Language Processing • SymbolicGPT: A Generative Transformer Model for Symbolic Regression

Please note: This seminar will take place online.

Mojtaba Valipour, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Ali Ghodsi

Friday, August 18, 2023 11:00 am - 12:00 pm EDT (GMT -04:00)

Master's Thesis Presentation • Machine Learning • FJMP: Factorized Joint Multi-Agent Motion Prediction

Please note: This Master's Thesis Presentation will take place in DC 1331 and online.

Luke Rowe, Master's candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Krzysztof Czarnecki

Tuesday, August 15, 2023 11:00 am - 12:00 pm EDT (GMT -04:00)

Seminar • Systems and Networking | Cryptography, Security, and Privacy (CrySP) • Current State of Malware Analysis and Limits of Protection Methods

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.