Seminar

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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.

Friday, August 25, 2023 2:00 pm - 3:00 pm EDT (GMT -04:00)

PhD Seminar • Human-Computer Interaction • Scatterpixels: Ad Hoc Reconfigurable Physical Pixel Displays

Please note: This PhD seminar will take place in DC 1304 and online.

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

Supervisors: Professors Daniel Vogel, Omid Abari

Friday, August 25, 2023 11:00 am - 12:00 pm EDT (GMT -04:00)

PhD Seminar • Software Engineering • Identifying and Taming Factors that Impact Levels of Automation in Autonomous Systems

Please note: This PhD seminar will take place in DC 3102.

Glaucia Melo dos Santos, PhD candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Paulo Alencar, Daniel Berry, Donald Cowan

Wednesday, August 23, 2023 10:00 am - 11:30 am EDT (GMT -04:00)

Seminar • Software Engineering • The Three Horizons of Digital Design: From Vision to Ready-to-Code-Modeling of Requirements

Please note: This seminar will take place in DC 2310  DC 1331.

Martina Beck, PhD
CEO, MaibornWolff, Munich, Germany

As a real-world IT service provider, we have really struggled to sell requirements engineering since agilization. Everything is about Scrum teams and coding for our customers. At the same time, holistic design is sorely needed.

Thursday, August 10, 2023 3:00 pm - 4:00 pm EDT (GMT -04:00)

PhD Seminar • Machine Learning | Natural Language Processing • DyLoRA: Parameter Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation

Please note: This PhD seminar will take place online.

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

Supervisor: Professor Ali Ghodsi