University Professor M. Tamer Özsu has received the 2018 Lifetime Achievement Award in Computer Science from CS-Can/Info-Can. Conferred annually since 2014, these prestigious national awards recognize faculty members in departments, schools and faculties of computer science who have made outstanding and sustained achievement in research, teaching and service.
PhD candidate Hemant Surale is one of 11 recipients globally and the only candidate from Canada to receive a prestigious 2019 Snap Research Fellowship. These fellowships were established to foster collaboration between Snap Research and exceptional doctoral students across the world.
Maura R. Grossman is a Research Professor and Director of Women in Computer Science at the David R. Cheriton School of Computer Science, as well as an eDiscovery attorney and consultant in Buffalo, New York.
Making your house “smart” could soon become cheaper and easier, thanks to new technology developed by researchers at the University of Waterloo.
Their recent study describes an approach that can be used to deploy, for the first time, battery-free sensors into a home using existing WiFi networks. Previous attempts to use battery-free sensors ran into some obstacles making the efforts impractical. These hurdles include the need to modify existing WiFi access points, challenges with security protocols, and the need to use energy-hungry components.
Cheriton School of Computer Science Professor Bin Ma has received $462,998 in research support from Genome Canada for an ambitious three-year project titled “Software for peptide identification and quantification from large mass spectrometry data using data independent acquisition.” Additional funds bring the total amount to $925,987.
Professor Cameron Stewart is respected and admired for the care, knowledge, insight, and wisdom that he has provided to his students throughout his 40-year long career at the University of Waterloo. Over his career, 22 Master’s students and 11 doctoral students obtained degrees under his supervision and he provided guidance to 18 postdoctoral fellows. Read the full story.
Organizations looking to benefit from the artificial intelligence (AI) revolution should be cautious about putting all their eggs in one basket, a study from the University of Waterloo has found.
In a study published in Nature Machine Intelligence, Waterloo researchers found that contrary to conventional wisdom, there can be no exact method for deciding whether a given problem may be successfully solved by machine learning tools.
Researchers at the University of Waterloo have found a novel method to help travellers protect sensitive information from border control agents.
The system is being developed into an app called “Shatter Secrets” by Erinn Atwater, who is the research director of the not-for-profit Open Privacy, an organization dedicated to understanding, researching and serving the privacy needs of marginalized and highly targeted at-risk communities.