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Wednesday, May 9, 2018 1:00 pm - 1:00 pm EDT (GMT -04:00)

Master’s Thesis Presentation • Software Engineering — Detecting Feature-Interaction Hotspots in Automotive Software using Relational Algebra

Bryan Muscedere, Master’s candidate
David R. Cheriton School of Computer Science

Monday, April 30, 2018 10:00 am - 10:00 am EDT (GMT -04:00)

PhD Seminar • Human-Computer Interaction — Improving Exploratory Search Experience through Hierarchical Knowledge Graphs

Bahareh Sarrafzadeh, PhD candidate
David R. Cheriton School of Computer Science

Thursday, April 26, 2018 10:00 am - 10:00 am EDT (GMT -04:00)

Master’s Thesis Presentation • Artificial Intelligence — Exploring New Forms of Random Projections for Prediction and Dimensionality Reduction in Big-Data Regimes

Amir-Hossein Karimi, Master’s candidate
David R. Cheriton School of Computer Science

Wednesday, April 18, 2018

WiCS receives 2018 Equity and Inclusivity Award

The Faculty Association of the University of Waterloo’s Equity Committee has awarded a 2018 Equity and Inclusivity Award to Women in Computer Science — a group of dedicated undergrad students, graduate students and faculty members that promotes women who are interested in studying computer science and who are pursuing careers in computing.

Wednesday, May 2, 2018 1:30 pm - 1:30 pm EDT (GMT -04:00)

PhD Seminar • Algorithms and Complexity — Approximate Shortest Paths and Distance Oracles in Weighted Unit-Disk Graphs

Dimitrios Skrepetos, PhD candidate
David R. Cheriton School of Computer Science

Thursday, April 26, 2018 10:30 am - 10:30 am EDT (GMT -04:00)

Seminar • Data Systems — Improving Understanding and Exploration of Data by Non-Database Experts

Rachel Pottinger, Department of Computer Science
University of British Columbia

Users are faced with an increasing onslaught of data, whether it's in their choices of movies to watch, assimilating data from multiple sources, or finding information relevant to their lives on open data registries. In this talk I discuss some of the recent and ongoing work about how to improve understanding and exploration of such data, particularly by users with little database background.