Cheriton School of Computer Science Professorhas been named by the Institute of Electrical and Electronics Engineers as anfor his contributions to fair queueing techniques and flow-control algorithms in computer networks.
Four teams of programmers from the University of ݮƵat an Association for Computing Machinery regional International Collegiate Programming Competition over the weekend.
We’ve connected billions of devices to the Internet and in the coming years we’ll connect billions more. Many of theseor IoT devices have sensors in them to detect their environment — from a room’s ambient temperature and light levels to sound and motion.
Studying how human activities and naturally occurring phenomena have an impact onthe environment is critical for effective management. Environmental monitoring and modelling are two fundamental practices to help in understanding, predicting and effectively managing these activities and impacts.
ʰǴڱǰandjoined the David R. Cheriton School of Computer Science earlier this year. Previously, both were full professors in the Department of Computer Science at Western University, where they were faculty members for 14 years.
This article, byAriana Mayer in University Relations,originally appeared on the University of ݮƵ's home page as a feature.
Amir-Hossein Karimi had already worked as a software engineer at Facebook, BlackBerry and even founded a startup when he realized he wanted to go back to school.
Computer science doctoral student, and Schaekermann’s cosupervisors, ʰǴڱǰand, have received a best paper award at CSCW 18, the.
The following is excerpted from “The science of binge-watching,” a research news articlepublished by the Natural Sciences and Engineering Research Council of Canada.
Imagine the year is 1998. Streaming your favourite shows on the Internet is but a pipe dream and you can’t stay informed of current events due to technical problems. Millions of people around the world are trying to access credible news sites at the same time, causing the server to crash.
Technology-assisted review (TAR) — an automated process used to select and prioritize documents for review, pioneered byand— was used for the first time by a state archive to classify emails from the administration of former Virginia Governor Tim Kaine for release to the public.
