PhD Defence • Artificial Intelligence — Learning Sparse Orthogonal Wavelet Filters
Daniel Recoskie, PhD candidate
David R. Cheriton School of Computer Science
Daniel Recoskie, PhD candidate
David R. Cheriton School of Computer Science
Adam Molnar, Deakin University
Mohamed Malek Naouach, Master’s candidate
David R. Cheriton School of Computer Science
On Friday, September 28 we will launch the new Cybersecurity and Privacy Institute.
The Institute brings together under one umbrella Waterloo’s 40 security researchers from across the University. These renowned experts are collaborating to uncover new approaches to security and privacy while also partnering with corporations and government to advance the application and implementation of cybersecurity and privacy technologies.
Emily Kozlowski
Department of Statistics and Actuarial Science
A flipped classroom moves the traditional lecture component of teaching outside the classroom, so that it can be replaced with active learning during class time.
In this talk, I present a brief overview of flipped classrooms, followed by a discussion of the details of its implementation for two lectures during the Spring 2018 offering of ACTSC 331. Students’ responses to the technique are also provided in the form of data from anonymous post-activity surveys.
Anna Lubiw
David R. Cheriton School of Computer Science
In this talk I will look at geometric graph representations from the perspective of three issues: the algorithmic complexity of finding a representation; the bit complexity of the representation; and whether there is a morph between any two combinatorially equivalent representations.
Peiyuan Liu, Master’s candidate
David R. Cheriton School of Computer Science
Mohammad Sadoghi
University of California, Davis
Yaron Minsky, Technology Group Head
Jane Street
Electronic exchanges play an important role in the world’s financial system, acting as focal points where actors from across the world meet to trade with each other.
But building an exchange is a difficult technical challenge, requiring high transaction rates, low, deterministic response times, and serious reliability.
Woojung Kim, Master’s candidate
David R. Cheriton School of Computer Science