Ashish Gaurav, Master’s candidate
David R. Cheriton School of Computer Science
Meng Xu, School of Computer Science
Georgia Institute of Technology
Silvia Abrahão, Department of Computer Science
Universitat Politècnica de València
Alex Williams, PhD candidate
David R. Cheriton School of Computer Science
Peoples’ work lives have become ever-populated with transitions across tasks, devices, and environments. Despite their ubiquitous nature, managing transitions across these three domains has remained a significant challenge. Current systems and interfaces for managing transitions have explored approaches that allow users to track work-related information or automatically capture or infer context, but do little to support user autonomy at its fullest.
Researchers in artificial intelligence have developed an innovative way to identify a range of anti-social behaviour online. The new technique, led by Alex Parmentier, a master’s student at Waterloo’s David R. Cheriton School of Computer Science, detects anti-social behaviour by examining the reaction to a post among members of an online forum rather than examining features of the original post itself.
Ryan Smith, Associate investigator
Laureate Institute for Brain Research
Research Professor Maura Grossman has been named both a National Leader in Canada among eDiscovery Practitioners and a Global Leader among eDiscovery Lawyers by Who’s Who Legal 2020.
Yuhao (Eric) Dong, PhD candidate
David R. Cheriton School of Computer Science
Ryan Goldade, PhD candidate
David R. Cheriton School of Computer Science
Nalin Chhibber, Master’s candidate
David R. Cheriton School of Computer Science