NVIDIA Awards $50,000 Fellowships to Ph.D. Students for GPU Computing ResearchApril 4, 2018
Our NVIDIA Graduate Fellowship Program this week awarded up to $50,000 each to 11 Ph.D. students involved in GPU computing research.
The fellowship program supports graduate students doing GPU-based work. We selected our fellows from more than 120 applicants from a host of countries.
The work they’re doing puts them at the forefront of GPU computing, with fellows tackling projects in deep learning, high performance computing and autonomous devices.
“These exceptional grad students are helping to define the future of computing, and we’re delighted to support their work,” said NVIDIA Chief Scientist Bill Dally.
The NVIDIA Graduate Fellowship Program is open to applicants worldwide.
Our 2018-2019 fellows are:
- Abishek Badki, UC Santa Barbara — Unsupervised Learning with Consistency Enforcement for Single-Image Scene Inference
- Adam Stooke, UC Berkeley — Accelerating Deep Reinforcement Learning
- Aishwarya Agrawal, Georgia Tech — Toward Intelligent Vision and Language Systems
- Ana Serrano, Universidad de Zaragoza — Overcoming challenges in Virtual Reality Video
- Andy Zeng, Princeton University — Complete 3D Visual State Representations for Robotic Manipulation with Novel Objects
- Daniel George, University of Illinois at Urbana-Champaign — Deep Learning for Time-Series Signal Processing to Enable Real-time Multimessenger Astrophysics
- Huizi Mao, Stanford University — A Fast Algorithm and Hardware Platform for Object Detection from Video
- Philippe Tillet, Harvard University — Improving End-to-End Performance in Deep Learning Systems via Advanced Kernel Fusion
- William Yuan, Harvard University (NVIDIA Foundation Fellow) — Elucidating the Morphological Basis for Neuroblastoma Classification
- Xun Huang, Cornell University — Deep Generative Models for Image-to-Image Translation and Text-to-Image Generation
- Zhilin Yang, Carnegie Mellon University — Data-Efficient Deep Learning for Natural Language Understanding
And our 2018-2019 finalists are:
- Chenxi Liu, Johns Hopkins University
- Junbo (Jake) Zhao, New York University
- Mario Drumond, EPFL
- Mark Buckler, Cornell University
- Steve Bako, UC Santa Barbara