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photo of Shivam Sharma
Tuesday, April 21, 2020

Computer science student Shivam Sharma, creator of Reflect, wins Concept $5K pitch competition

The University of Waterloo’s first-ever virtual Concept $5K competition challenged entrepreneurs to pitch to an online audience instead of a packed auditorium. Confident in the value of their creation, the founders of Reflect rose to the occasion and walked away with $5,000 to invest in their growing business.

Wednesday, May 6, 2020 1:30 pm - 1:30 pm EDT (GMT -04:00)

Master’s Thesis Presentation • Algorithms and Complexity — Building a Larger Class of Graphs for Efficient Reconfiguration of Vertex Colouring

Please note: This master’s thesis presentation will be given online.

Owen Merkel, Master’s candidate
David R. Cheriton School of Computer Science

Tuesday, April 21, 2020 10:30 am - 10:30 am EDT (GMT -04:00)

PhD Seminar • Data Systems — Estimating Property Values for Long Tail Entities

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

One challenge that faces most extraction tools is the long tail of information. Entities that lie in the long tail do not have enough mentions in the text, limiting their relevant context. The absence of enough repetition restricts the extraction of property values with high confidence.

Friday, April 24, 2020 4:00 pm - 4:00 pm EDT (GMT -04:00)

Master’s Thesis Presentation • Machine Learning — Local Graph Clustering Using l1-regularized PageRank Algorithms

Please note: This master’s thesis presentation will be given online.

Chufeng Hu, Master’s candidate
David R. Cheriton School of Computer Science

Local graph clustering methods are used to find small- and medium-scale clusters without traversing the graph. It has been shown that the combination of the Approximate Personalized PageRank (APPR) algorithm and the sweep method can efficiently detect a small cluster around the starting vertex. 

Friday, May 1, 2020 1:30 pm - 1:30 pm EDT (GMT -04:00)

Master’s Thesis Presentation • Artificial Intelligence — Novel Directions for Multiagent Trust Modeling in Online Social Networks

Please note: This master’s thesis presentation will be given online.

Alexandre Parmentier, Master’s candidate
David R. Cheriton School of Computer Science

This thesis presents two works with the shared goal of improving the capacity of multiagent trust modeling to be applied to social networks.