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Researchers in the Cheriton School of Computer Science are developing what could be the next big breakthrough in wearable technology. 

The new innovation in display tech, which the researchers are calling PocketView, uses LED lights to show basic information. It can function as a stand-alone piece of tech or could be incorporated into existing or next-generation smart devices.

As excitement builds across campus for the launch of the Waterloo Institute for Sustainable Aeronautics (WISA), researchers in diverse disciplines are showcasing the ways their work connects with the new institute’s mandate.

One of those researchers is Sander Rhebergen, an associate professor in the Department of Applied Mathematics. Rhebergen’s specialization is in computational fluid dynamics. Research in fluid dynamics looks at the ways flow and resistance operate in liquids, gases and plasmas.

Siv Sivaloganathan
Researchers in applied mathematics are part of a team developing technologies that use acoustic waves to target and destroy cancerous tumours.

While doctors have used low-intensity ultrasound as a medical imaging tool since the 1950s, experts at the University of Waterloo are using and extending models that help capture how high-intensity focused ultrasound (HIFU) can work on a cellular level.

Yucatan limestone formations

Researchers in applied mathematics have made new discoveries on the hydrology of the Yucatan Peninsula. The research has implications for historical understandings of the Maya civilization, the archaeology of the Yucatan and for present-day climate science as well.

Wednesday, July 28, 2021

What's in a developer's name?

Resa Nadri, Gema Rodriguez Perez, and Mei Nagappan

Research conducted by recent computer science master’s graduate Reza Nadri, recent postdoctoral researcher Gema Rodríguez-Pérez and their supervisor Cheriton School of Computer Science Professor Mei Nagappan found that the perceived race and ethnicity of a developer — based on just their user name — can affect how the developer’s contributions to open source software projects are evaluated.

Cheriton School of Computer Science Professor Kate Larson and her international colleagues have published a commentary in Nature about the need for cooperative artificial intelligence — beneficial AI with social understanding.

AI assistants and recommendation algorithms interact with billions of people every day, yet they have little understanding of humans. Professor Larson and her colleagues argue that AI needs social understanding and cooperative intelligence to integrate beneficially into society.