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Wednesday, October 24, 2018 — 12:15 PM EDT

Mina Farid, PhD candidate
David R. Cheriton School of Computer Science

RDF has become a prevalent format to represent disparate data that is ingested from heterogeneous sources. However, data often contains errors due to extraction, transformation, and integration problems, leading to missing or contradicting information that propagate to downstream applications. 

Wednesday, October 24, 2018 — 1:30 PM EDT

Antonina Kolokolova, Department of Computer Science
Memorial University of Newfoundland

A unifying theme in complexity theory in the past few years has been the duality between lower bounds and algorithms. Indeed, some of the main recent lower bounds have been proven by developing better algorithms. 

Monday, October 29, 2018 — 1:30 PM EDT

Aaron Moss, PhD candidate
David R. Cheriton School of Computer Science

Monday, October 29, 2018 — 3:30 PM EDT

Vijay Ganesh, ECE
University of Waterloo

Wednesday, October 31, 2018 — 12:15 PM EDT

Mustafa Korkmaz, PhD candidate
David R. Cheriton School of Computer Science

Data centers consume significant amounts of energy and consumption is growing each year. Alongside efforts in the hardware domain, there are some mechanisms in the software domain to reduce energy consumption. One of these mechanisms is dynamic voltage and frequency scaling (DVFS) and modern servers which are equipped with multi-core CPUs. 

Thursday, November 1, 2018 — 10:30 AM EDT

Andrew Beltaos / Amenda Chow
University of Waterloo / York University

Teaching via analogies builds upon students' existing knowledge. New concepts that are taught only within the context of mathematics may seem foreign to students at first glance, but if students have already learned analogous concepts elsewhere in life, as educators, we can make use of their existing framework to strengthen their learning. 

Friday, November 2, 2018 — 1:30 PM EDT

Bushra Aloraini, PhD candidate
David R. Cheriton School of Computer Science

Monday, November 26, 2018 — 3:30 PM EST

Robin Cohen
David R. Cheriton School of Computer Science

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