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Tuesday, August 8, 2023 9:30 am - 10:30 am EDT (GMT -04:00)

PhD Seminar • Machine Learning • Exploring the Impact of Self-Supervised Pretraining for Diagnostic Tasks in Lung Ultrasound

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

Tuesday, August 8, 2023 2:00 pm - 3:00 pm EDT (GMT -04:00)

Master’s Thesis Presentation • Cryptography, Security, and Privacy (CrySP) • Security and Privacy Analysis of Employee Monitoring Applications

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

Wednesday, August 9, 2023 9:30 am - 10:30 am EDT (GMT -04:00)

Master’s Thesis Presentation • Software Engineering • Variability-aware Neo4j for Analyzing a Graphical Model of a Software Product Line

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

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

Friday, August 11, 2023 9:00 am - 12:00 pm EDT (GMT -04:00)

PhD Defence • Natural Language Processing | Information Retrieval • Design of Neural Models for Domain-Specific Retrieval-Based Information Access Systems

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

Monday, August 14, 2023 2:00 pm - 3:00 pm EDT (GMT -04:00)

Master’s Thesis Presentation • Systems and Networking • Flashpoint: A Low-latency Serverless Platform for Deep Learning Inference Serving

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