Monday, May 11, 2020

Jo Atlee receives 2020 IEEE TCSE Distinguished WISE Leadership Award

photo of Professor Jo Atlee

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.

Thursday, May 7, 2020

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

photo of Maura R. Grossman and Gordon V. Cormack

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.

Monday, May 4, 2020

Miti Mazmudar and Ian Goldberg create Mitigator, a new system to protect users’ online data

image depicting computer security

Computer scientists at the Cheriton School of Computer Science have developed a new system that helps Internet users ensure their online data is secure. Called Mitigator, the software-based system includes a plugin that users can install in their browser, which will give them a secure signal when they visit a website verified to process its data in compliance with the site’s privacy policy.

Thursday, April 30, 2020

Code is not the only king in open source projects

photo of Alex Yun and Professors Jesse Hoey and Meiyappan Nagappan

In open source software repositories such as GitHub — an online platform for software development where developers store their projects and collaborate with other developers — the quality of a coder’s technical contributions is undoubtedly important. Such communities have long seen themselves as meritocracies where code is king and decisions are based solely on technical excellence.

Monday, April 27, 2020

Lila Kari and her colleagues use machine learning-based analysis to quickly classify novel pathogens such as the COVID-19 virus

photo of Professor Lila Kari

A multidisciplinary team of researchers at Waterloo’s Cheriton School of Computer Science and Western University has developed a computational method that within minutes can identify and classify viruses such as SARS-CoV-2, the respiratory pathogen responsible for the COVID-19 pandemic.

  1. 2024 (67)
    1. July (10)
    2. June (11)
    3. May (15)
    4. April (9)
    5. March (13)
    6. February (1)
    7. January (8)
  2. 2023 (70)
    1. December (6)
    2. November (7)
    3. October (7)
    4. September (2)
    5. August (3)
    6. July (7)
    7. June (8)
    8. May (9)
    9. April (6)
    10. March (7)
    11. February (4)
    12. January (4)
  3. 2022 (63)
    1. December (2)
    2. November (7)
    3. October (6)
    4. September (6)
    5. August (1)
    6. July (3)
    7. June (7)
    8. May (8)
    9. April (7)
    10. March (6)
    11. February (6)
    12. January (4)
  4. 2021 (64)
  5. 2020 (73)
    1. December (7)
    2. November (6)
    3. October (4)
    4. September (5)
    5. August (4)
    6. July (7)
    7. June (4)
    8. May (11)
    9. April (13)
    10. March (3)
    11. February (3)
    12. January (6)
  6. 2019 (90)
  7. 2018 (82)
  8. 2017 (51)
  9. 2016 (27)
  10. 2015 (41)
  11. 2014 (32)
  12. 2013 (46)
  13. 2012 (17)
  14. 2011 (20)