Seminar • Software Engineering • Randomness-aware Testing of Machine Learning-based Systems
Please note: This seminar will take place online.
Saikat Dutta, PhD candidate
Department of Computer Science, University of Illinois Urbana-Champaign
Saikat Dutta, PhD candidate
Department of Computer Science, University of Illinois Urbana-Champaign
Nikhita Joshi, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Daniel Vogel
Abhibhav Garg, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Rafael Oliveira
Yongqiang (Victor) Tian, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Chengnian Sun
David Radke, PhD candidate
David R. Cheriton School of Computer Science
Supervisors: Professors Kate Larson, Tim Brecht
Shlomi Steinberg, PhD candidate
University of California, Santa Barbara
Rendering and path-tracing techniques power most of the complex computer-generated content we see in films and movies, visualizations and even video games. However, these techniques are strictly confined to ray optics, while many applications often require simulating the interference and diffraction phenomena, that arise from the wave nature of light.
Aarti Malhotra, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Jesse Hoey
Swati Mishra, PhD candidate
Computing and Information Science Department, Cornell University
Besat Kassaie, PhD candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Frank Tompa
Christian Janos Lebeda, PhD candidate
Basic Algorithms Research Copenhagen
Algorithms Group, IT University of Copenhagen