2017 Grad Fellows
NVIDIA Graduate Fellowship Results for 2017
We are excited to announce the 2017 NVIDIA Graduate Fellowship recipients!
We know that there is incredibly important work taking place at universities worldwide, and the NVIDIA Graduate Fellowship Program allows us to demonstrate our commitment to academia in supporting research that spans all areas of computing innovation. In particular this year, emphasis was given to students pushing the envelope in artificial intelligence, deep neural networks, autonomous vehicles, and related fields.
We had another record year of applications for the NVIDIA Graduate Fellowship Program and the fellowship committee undertook the very difficult task of reviewing all these applications. All of the research projects were very exciting and selecting the final fellowship recipients was an extremely difficult decision. Chief Scientist, Bill Dally, and the rest of the review committee would like to congratulate the 2017 NVIDIA Graduate Fellows:
- Abigail See, Stanford University
- Adams Wei Yu, Carnegie Mellon University
- Awni Hannun, Stanford University
- Caroline Trippel, Princeton University
- Deepak Pathak, University of California, Berkeley
- Fereshteh Sadeghi, University of Washington
- Ling-Qi Yan, University of California, Berkeley
- Robert Konrad, Stanford University
- Robin Betz, Stanford University
- Xiaolong Wang, Carnegie Mellon University
In addition, this year we have a Graduate Fellow sponsored by our NVIDIA Foundation as part of their Compute the Cure initiative, which aims to advance the fight against cancer:
- Anna Shcherbina, Stanford University
We would also like to acknowledge our five finalists:
- Daniel Thuerck, Technische Universitaet Darmstadt
- Dingzeyu Li, Columbia University
- Leyuan Wang, University of California, Davis
- Mohammad Babaeizadeh, University of Illinois at Urbana-Champaign
- Philippe Tillet, Harvard University
This is the sixteenth year that NVIDIA has invited Ph.D. students to submit their research projects for consideration. Recipients are selected based on their academic achievements, professor nomination, and area of research. We have found this program to be a great way to support academia in its pursuit of cutting edge innovation, as well as an ideal avenue to introduce NVIDIA to the future leaders of our industry.
Congratulations to our new NVIDIA Graduate Fellows!