Master's Thesis Presentation • Human-Computer Interaction — A Human‐Machine Framework for the Classification of Phonocardiograms
William Callaghan, Master’s candidate
David R. Cheriton School of Computer Science
William Callaghan, Master’s candidate
David R. Cheriton School of Computer Science
Aayush Rajasekaran, Master's candidate
David R. Cheriton School of Computer Science
Maryam Mehri Dehvani
Department of Electrical and Computer Engineering, Rutgers University
The emergence of stupendously large matrices in applications such as data mining and large-scale scientific simulations has rendered the classical software frameworks and numerical methods inadequate in many situations. In this talk, I will demonstrate how building domain-specific compilers and reformulating classical mathematical methods significantly improve the performance and scalability of large-scale applications on modern computing platforms.
Hicham El-Zein, PhD candidate
David R. Cheriton School of Computer Science
Magnus Madsen
Aalborg University, Denmark
Most software contains bugs, unintended behavior that causes the program to misbehave or crash. Developers wish to avoid bugs, but are easily led astray by the complexity of modern programming languages. How can we help them? A possible solution is to develop program analysis techniques that can automatically reason about the behavior of programs and pinpoint potential problems.
Rina Wehbe, PhD candidate
David R. Cheriton School of Computer Science
Anastasia Kuzminykh, PhD candidate
David R. Cheriton School of Computer Science
While technologies exist that are either marketed for or can be adapted to the monitoring of toddlers and school-age children, parents' perspectives on these technologies have received only limited attention.
Jeff Avery, PhD candidate
David R. Cheriton School of Computer Science
Despite the ubiquity of touch-based input and the availability of increasingly computationally powerful touchscreen devices, there has been comparatively little work on enhancing basic canonical gestures such as swipe-to-pan and pinch-to-zoom.
Joel Reardon, Assistant Professor
Department of Computer Science, University of Calgary
Zhucheng Tu, Master’s candidate
David R. Cheriton School of Computer Science