Current students

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

Sara Qunaibi, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Samer Al-Kiswany

We present a comprehensive empirical study of the impact partial network partitions have on cluster managers in data analysis frameworks. Our study shows that modern scheduling approaches are vulnerable to partial network partitions. Partial partitions can lead to a complete cluster pause or a significant loss of performance.

Please note: This PhD seminar will take place online.

Wei Zhong, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Jimmy Lin

Please note: This PhD seminar will take place in DC 2564.

Mahtab (Mattie) Nejati, PhD candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Shane McIntosh, Mike Godfrey

Please note: This master’s thesis presentation will take place in DC 2568 and virtually over Zoom.

Xueyao Yu, Master’s candidate
David R. Cheriton School of Computer Science

Supervisors: Professors Mike Godfrey, Shane McIntosh

Cheriton School of Computer Science Professor Gautam Kamath has been named a Canada CIFAR AI Chair and a Vector Institute Faculty Member in recognition of his contributions to differential privacy, machine learning and statistics. He is among eight outstanding researchers in the latest cohort of Canada CIFAR AI Chairs to receive this prestigious national recognition. 

Please note: This PhD seminar will take place online.

Miti Mazmudar, PhD candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Ian Goldberg

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

Veronica Salm, Master’s candidate
David R. Cheriton School of Computer Science

Supervisor: Professor Lukasz Golab

Co-operative education (co-op) programs combine coursework and work internships and have become popular worldwide. In this analysis, we use two separate co-op datasets to understand employer expectations and factors that contribute to student success.