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Tuesday, May 26, 2020 10:00 am - 10:00 am EDT (GMT -04:00)

Master’s Thesis Presentation • Artificial Intelligence — Analysis of Textual and Non-Textual Sources of Sentiment in GitHub

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

Nalin De Zoysa, Master’s candidate
David R. Cheriton School of Computer Science

GitHub is a collaborative platform that is used primarily for the development of software. In order to gain more insight into how teams work on GitHub, we wish to analyze the sentiment content available via communication on the platform.

Friday, May 22, 2020 12:30 pm - 12:30 pm EDT (GMT -04:00)

PhD Seminar • Computer Graphics | Scientific Computing — The Need for Speed: Making Existing Industrial Fluid Simulation Pipelines Faster with Strategic Adaptivity

Please note: This PhD seminar will be given online.

Ryan Goldade, PhD candidate
David R. Cheriton School of Computer Science

Photo of Mark Giesbrecht
Monday, May 11, 2020

Cheriton School of Computer Science Professor Mark Giesbrecht appointed 12th dean of Waterloo’s Faculty of Mathematics

Professor Mark Giesbrecht will become the 12th dean of the University of Waterloo’s Faculty of Mathematics, a five-year appointment that begins on July 1, 2020. The distinguished computer scientist has nearly 20 years’ experience at Waterloo and he will leverage his abilities as an administrator, teacher and researcher to lead the Faculty of Mathematics.

photo of Mark Giesbrecht

photo of Professor Jo Atlee
Monday, May 11, 2020

Jo Atlee receives 2020 IEEE TCSE Distinguished WISE Leadership Award

Professor Jo Atlee has received the 2020 IEEE Technical Council on Software Engineering Distinguished Women in Science and Engineering (WISE) Leadership Award. This prestigious recognition is presented annually to an individual for outstanding and sustained leadership in the software engineering community to encourage women to explore science and engineering careers.

photo of Maura R. Grossman and Gordon V. Cormack
Thursday, May 7, 2020

Using technology-assisted review to find effective treatments and procedures to mitigate COVID-19

Since the COVID-19 pandemic began, researchers and clinicians have rushed to understand the available treatments and procedures to mitigate this rapidly growing threat to human health. The sheer volume of studies published on COVID-19 — in countries spanning the globe — as well as lessons learned from prior epidemics and pandemics, simply cannot be gathered and assessed quickly enough using traditional manual methods during this time of crisis.