Toro

Toro

Project Overview

About

Toro is an innovative web-based tool designed to visualise and streamline the exploration of the ever-growing body of scientific literature. With over 5 million articles published in 2022 and a notable surge in computer science papers, researchers often face challenges in sifting through vast amounts of content. Feedback from a focus group highlighted these difficulties. Toro addresses these by offering an interactive paper graph, allowing researchers to access, understand, and discover relevant scientific knowledge more efficiently and comprehensively.

Team

Elliott Wen

Elliott Wen

The University of Auckland

Elliott Wen is a Lecturer in Computer Science at The University of Auckland. Previously he was a Research Fellow at the Augmented Human Lab in the Auckland Bioengineering Institute. His research interests include Software Engineering, Pervasive Computing, and Mobile Sensing. Elliott obtained his PhD degree from the University of Auckland.

Moritz Alexander Messerschmidt

Moritz Alexander Messerschmidt

The University of Auckland

Moritz is a PhD Candidate at the University of Auckland, conducting research at the Augmented Human Lab. He received his Master's and Bachelor's Degree in computer science from the RWTH Aachen University in Germany. He is passionate about human-centered interaction design and developing innovative solutions with the help of novel technologies and his broad technical skill set. His areas of interest include extended reality (XR) environments, haptics and AI.

Suranga Nanayakkara

Suranga Nanayakkara

National University of Singapore

Suranga Nanayakkara is an Associate Professor at Department of Information Systems & Analytics, School of Computing at National University of Singapore (NUS). Before NUS, he was as Associate Professor at the University of Auckland. He received his PhD in 2010 and BEng in 2005 from the National University of Singapore. He founded the "Augmented Human Lab" to explore ways of designing intelligent human-computer interfaces that extend the limits of our perceptual and cognitive capabilities.

Samantha Chan

Samantha Chan

Massachusetts Institute of Technology (MIT)

Samantha Chan is a Postdoctoral Fellow at the MIT Media Lab, exploring interfaces for augmenting human memory and cognition. She received her Ph.D. in Bioengineering from The University of Auckland and B.Eng from Singapore University of Technology and Design. Her research interests include Human Computer Interactions, AI, conversational interfaces, and biosignals.

https://www.instagram.com/cwt_sam/

Gallery

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