Mustafa Korkmaz, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Ken Salem
Deepak Narayanan, Department of Computer Science
Stanford University
Deep Learning models have enabled state-of-the-art results across a broad range of applications; however, training these models is extremely time- and resource-intensive, taking weeks on clusters with thousands of expensive accelerators in the extreme case.
Anil Pacaci, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Tamer Özsu
Modern applications in many domains now operate on high-speed streaming graphs that continuously evolve at high rates. Efficient querying of these streaming graphs is a crucial task for applications that monitor complex patterns and relationships.
Rina R. Wehbe, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Edward Lank
Jiliang Tang, Department of Computer Science and Engineering
Michigan State University
Andrea Tagliasacchi, Research Scientist
Google Brain
It is not uncommon to think of computer graphics and computer vision as loosely disconnected disciplines; the former dealing with the synthesis of visual phenomena and the latter with analysis. However, recent advances in deep learning have blurred the boundary between the two. As a consequence, the research path to develop algorithms that effectively interpret the 3D scene “behind” an image has never seemed so well within reach.
Bryce Sandlund, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor J. Ian Munro
This thesis considers the study of data structures from the perspective of the theoretician, with a focus on simplicity and practicality. We consider both the time complexity as well as space usage of proposed solutions. Topics discussed fall in three main categories: partial order representation, range modes, and graph cuts.
Andrew Beach, Master’s candidate
David R. Cheriton School of Computer Science
Nafisa Anzum, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Semih Salihoglu
Laurie Williams
Distinguished University Professor
Department of Computer Science, North Carolina State University