Hemant Saxena, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Ihab Ilyas
Caroline Lemieux, Department of Computer Science
University of California, Berkeley
Software bugs are pervasive in modern software. As software is integrated into increasingly many aspects of our lives, these bugs have increasingly severe consequences, both from a security (e.g. Cloudbleed, Heartbleed, Shellshock) and cost standpoint. Fuzzing refers to a set of techniques that automatically find bug-triggering inputs by sending many random-looking inputs to the program under test.
Mary Czerwinski
Partner Research Manager
Human Understanding and Empathy (HUE) Research Group
Microsoft Research
Jeremy Hartmann, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Daniel Vogel
Diogo Barradas, Information Systems and Computer Engineering
Instituto Superior Técnico, Universidade de Lisboa
Kexin Rong, Department of Computer Science
Stanford University
Khadija Tariq, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Nancy Day
Sepideh Mahabadi
Toyota Technological Institute at Chicago
Searching and summarization are two of the most fundamental tasks in massive data analysis. In this talk, I will focus on these two tasks from the perspective of diversity and fairness.
Anton Mosunov, Digital Assets Group
University of Waterloo
Akshitha Sriraman, Computer Science and Engineering
University of Michigan