Current graduate students

University of Waterloo students are invited participate in this challenge to explore Virtual Reality & 5G technologies to bridge the gap between traditional banking and the needs of future generations.

Increasing the hosting capacity of renewables, electrification of transportation, and the large-scale implementation of green hydrogen generation plants, are identified as key solutions to help meet net-zero emission targets.

Due to technological advancements, communicating with computer systems using natural language has become a casual phenomenon.

This hybrid panel covers the exploration of biometrics (or physiological measures) in game user research, driven by advancements in sensing technologies and the increased accessibility of signal processing tools.

The Office of Indigenous Relations and the Department of Recreation and Leisure Studies (Faculty of Health) are pleased to co-host a presentation by Bobbie Chew Bigby, postdoctoral fellow at University of Waterloo.

From July 28-29, the Sustainability Office will be hosting the first ever UWaterloo campus-wide BioBlitz: a community-led effort to identify and record all the species in a particular area.
 

The Waterloo Institute for Nanotechnology (WIN) is pleased to present a seminar with Juliane Simmchen, Associate Professor (Reader) from the University of Strathclyde and TU Dresden.
 

The Waterloo Institute for Nanotechnology (WIN) is pleased to present a seminar with Letícia Cruz, Associate Professor from the Department of Industrial Pharmacy at the Federal University of Santa Maria in Rio Grande do Sul, Brazil.
 

Join GreenHouse for the "Finding funding for your social impact project or venture" workshop series this July. Hosted in two parts, this series will help you identify potential sources of funding, understand what has worked for others, and learn to write effective grant applications.
 

Join us for an enlightening discussion led by Dr. Andrew Wong, Distinguished Professor Emeritus, on the groundbreaking research in Pattern Discovery and Disentanglement (PDD) within the field of machine learning