Woojung Kim, Master’s candidate
David R. Cheriton School of Computer Science
Yaron Minsky, Technology Group Head
Jane Street
Trading in financial markets is a data-driven affair, and as such, it requires applications that can efficiently filter, transform and present data to users in real time.
But there's a difficult problem at the heart of building such applications: finding a way of expressing the necessary transformations of the data in a way that is simultaneously easy to understand and efficient to execute over large streams of data.
Ankit Vadehra, Master’s candidate
David R. Cheriton School of Computer Science
Kristofer Siy, Graduate student
Combinatorics and Optimization
Chathura Kankanamge, Master’s candidate
David R. Cheriton School of Computer Science
Ju Wang, Postdoctoral fellow
David R. Cheriton School of Computer Science
Passive radio frequency identification (RFID) tags are ubiquitous today due to their low cost (a few cents), relatively long communication range (7–11 m), ease of deployment, lack of battery, and small form factor. This talk shows how even hobbyists can transform commodity RFID tags into sensors by physically altering ('hacking') them using COTS sensors and a pair of scissors. Importantly, this requires no change to commercial RFID readers.
Amira Ghenai, PhD candidate
David R. Cheriton School of Computer Science
Cristina Tavares, Master’s candidate
David R. Cheriton School of Computer Science
Carolyn Lamb, PhD candidate
David R. Cheriton School of Computer Science
This thesis is driven by the question of how computers can generate poetry, and how that poetry can be evaluated. We survey existing work on computer-generated poetry and interdisciplinary work on how to evaluate this type of computer-generated creative product.
Ben Armstrong, Master’s candidate
David R. Cheriton School of Computer Science