Feb. 26, 2020 — The NVIDIA Graduate Fellowship Program recently awarded up to $50,000 each to five Ph.D. students involved in GPU computing research.
Now in its 19th year, the fellowship program supports graduate students doing GPU-based work. We selected this year’s fellows from more than 300 applicants from a host of countries.
The fellows’ work puts them at the forefront of GPU computing, including projects in deep learning, graphics, high performance computing and autonomous machines.
“Our fellowship recipients are among the most talented graduate students in the world,” said NVIDIA Chief Scientist Bill Dally. “They’re working on some of the most important problems in computer science, and we’re delighted to support their research.”
The NVIDIA Graduate Fellowship Program is open to applicants worldwide.
The 2020-2021 fellows are:
- Anqi Li, University of Washington — Bridging the gap between robotics research and applications by exploiting complementary tools from machine learning and control theory
- Benedikt Bitterli, Dartmouth College — Principled forms of sample reuse that unlock more efficient ray-tracing techniques for offline and real-time rendering
- Vinu Joseph, University of Utah — Optimizing deep neural networks for performance and scalability
- Xueting Li, University of California, Merced — Self-supervised learning and relation learning between different visual elements
- Yue Wang, Massachusetts Institute of Technology — Designing sensible deep learning modules that learn effective representations of 3D data
And the 2020-2021 finalists are:
- Guandao Yang, Cornell University
- Michael Lutter, Technical University of Darmstadt
- Yuanming Hu, Massachusetts Institute of Technology
- Yunzhu Li, Massachusetts Institute of Technology
- Zackory Erickson, Georgia Institute of Technology
Source: Nvidia Corp.