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Tuesday, January 24, 2023 11:00 am - 12:00 pm EST (GMT -05:00)

Master’s Thesis Presentation • Systems and Networking • MECBench: A Framework for Benchmarking Multi-Edge Computing Systems

Please note: This master’s thesis presentation will take place in DC 3317.

Omar Naman, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Samer Al-Kiswany

Thursday, January 26, 2023 9:30 am - 12:30 pm EST (GMT -05:00)

PhD Defence • Algorithms and Complexity | Computational Geometry • Algorithms for Geometric Facility Location: Centers in a Polygon and Dispersion on a Line

Please note: This PhD defence will take place online.

Anurag Murty Naredla, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Anna Lubiw

Friday, February 3, 2023 2:00 pm - 5:00 pm EST (GMT -05:00)

PhD Defence • Data Systems | Data Management, Graph Processing, Parallel Systems • Systems and Algorithms for Dynamic Graph Processing

Please note: This PhD defence will take place online.

Khaled Ammar, PhD candidate
David R. Cheriton School of Computer Science

Supervisors: Professors M. Tamer Özsu, Semih Salihoglu

Tuesday, March 7, 2023 12:00 pm - 1:00 pm EST (GMT -05:00)

Master’s Thesis Presentation • Human-Computer Interaction • DeepThInk: Designing and Probing Human-AI Co-creation in Digital Art Therapy

Please note: This master’s thesis presentation will take place in DC 3317 and virtually over Zoom.

Xuejun Du, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Jian Zhao

Tuesday, March 28, 2023 9:00 am - 10:00 am EDT (GMT -04:00)

Master’s Thesis Presentation • Machine Learning • Approaches and Techniques to Enhance Efficiency and Performance of Non-Contrastive Self-Supervised Learning Methods

Please note: This master’s thesis presentation will take place online.

Ali Saheb Pasand, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Ali Ghodsi

Tuesday, April 4, 2023 12:30 pm - 1:30 pm EDT (GMT -04:00)

Master’s Thesis Presentation • Data Systems • Data-driven Estimation of Soiling Loss and Optimal Cleaning Schedule for a Utility-scale PV Plant

Please note: This master’s thesis presentation will take place online.

Abhinav Bora, Master’s candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Srinivasan Keshav, Lukasz Golab