David R. Cheriton School of Computer Science

The Cheriton School of Computer Science is named for David R. Cheriton, who earned his PhD in Computer Science in 1978, and made a transformational gift to the school in 2005. It has become the largest academic concentration of Computer Science researchers in Canada.  

Discover our latest achievements by following our news and events.
 
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  1. Mar. 21, 2023CS remains Waterloo’s top-ranked subject and 22nd internationally according to 2023 QS World University Rankings
    a fisheye lens view of the Davis Centre

    Computer Science, the University of Waterloo’s top-ranked subject internationally, has risen three spots in the global rankings to the 22nd position, according to the latest edition of the Quacquarelli Symonds (QS) World University Rankings by Subject released on March 22, 2023.
        
    This is the third year in a row that Computer Science was in the top 25 internationally and the top-ranked subject at Waterloo.

  2. Mar. 20, 2023Ludwig Wilhelm Wall leads construction of interactive art installation at Ontario Place
    image of a person standing in front of The Light Within exhibit

    PhD candidate Ludwig Wilhelm Wall and two recent Waterloo graduates have built an interactive installation at the intersection of art and technology called The Light Within. Their installation is part of Lumière: The Art of Light, a free outdoor light experience on exhibit at Ontario Place’s Trillium Park from March 10 to May 7.

  3. Mar. 16, 2023Joel Wretborn and colleagues win Emerging Technology Award at Annual VES Awards for water simulation toolset used in Avatar: The Way of Water
    photo of Joel Wretborn

    PhD candidate Joel Wretborn and his colleagues Alexey Stomakhin and Steve Lesser at the New Zealand–based visual effects studio WētāDigital x Unity and Douglas McHale at WētāFX have won an Emerging Technology Award at the 21st annual Visual Effects Society Awards for their water simulation toolset used in Avat

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  1. Mar. 28, 2023Master’s Thesis Presentation • Machine Learning • Approaches and Techniques to Enhance Efficiency and Performance of Non-Contrastive Self-Supervised Learning Methods

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

    Ali Saheb Pasand, Master’s candidate
    David R. Cheriton School of Computer Science

    Supervisor: Professor Ali Ghodsi

  2. Mar. 28, 2023Seminar • Cryptography, Security, and Privacy (CrySP) • How Efficiently Can We Check a Computation?

    Please note: This seminar will take place in DC 1304 and virtually over Zoom.

    Nicholas Spooner, Assistant Professor
    Department of Computer Science, University of Warwick

  3. Mar. 29, 2023PhD Seminar • Artificial Intelligence • Less is More: Parameter-Free Text Classification with Gzip

    Please note: This PhD seminar will take place online.

    Zhiying Jiang, PhD candidate
    David R. Cheriton School of Computer Science

    Supervisor: Professor Jimmy Lin

    Deep neural networks (DNNs) are often used for text classification due to their high accuracy. However, DNNs can be computationally intensive, requiring millions of parameters and large amounts of labeled data, which can make them expensive to use, to optimize, and to transfer to out-of-distributed (OOD) cases in practice.

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