Events

Thomas Steinke, Postdoctoral researcher
IBM Almaden Research Center

​As data is being more widely collected and used, privacy and statistical validity are becoming increasingly difficult to protect. Sound solutions are needed, as ad hoc approaches have resulted in several high-profile failures.

Ahmed El-Roby, PhD candidate
David R. Cheriton School of Computer Science

Today, there is an abundance of structured data available on the web in the form of RDF graphs and relational (i.e., tabular) data. This data comes from heterogeneous sources, and realizing its full value requires integrating these sources so that they can be queried together. Due to the scale and heterogeneity of the data sources on the web, integrating them is typically an automatic process.

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.