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NVIDIA Awards Prestigious Research Fellowships to Promising PhD Students Worldwide: 10 talented researchers will receive up to $60,000 each as part of this year's fellowship program, which supports graduate students working on cutting-edge AI and computing research projects.
NVIDIA Corporation has announced its latest round of awards for its prestigious NVIDIA Graduate Fellowship Program. The program aims to support graduate students from around the world working on cutting-edge research projects that align with NVIDIA's technologies and expertise. For over two decades, the program has provided essential funding and resources to PhD students demonstrating exceptional potential in their fields of study. This year's cohort includes 10 Ph.D. students selected from a highly competitive applicant pool, who will receive up to $60,000 each as part of their fellowship awards. The selected researchers are working on projects spanning all areas of computing innovation, including autonomous systems, computer architecture, and deep learning. Notable research projects among this year's awardees include projects on large language model architectures, self-supervised learning for autonomous systems, and resource-efficient models for audio processing. The fellowship program aims to foster innovation, collaboration, and knowledge-sharing among top researchers in computing, AI, and related disciplines.
NVIDIA Corporation, a leader in the field of artificial intelligence (AI) and computing innovation, has recently announced its latest round of awards for its prestigious NVIDIA Graduate Fellowship Program. This esteemed program aims to support graduate students from around the world who are working on cutting-edge research projects that align with NVIDIA's technologies and expertise.
For over two decades, the NVIDIA Graduate Fellowship Program has been providing essential funding and resources to PhD students who demonstrate exceptional potential in their fields of study. The program is designed to foster innovation, collaboration, and knowledge-sharing among top researchers in computing, AI, and related disciplines.
This year's cohort of awardees represents a diverse range of institutions and research areas, with a total of 10 Ph.D. students selected from a highly competitive applicant pool. These scholars will receive up to $60,000 each as part of their fellowship awards, which will be supplemented by a summer internship preceding the fellowship year.
The selected researchers are working on projects that span all areas of computing innovation, including autonomous systems, computer architecture, computer graphics, deep learning, programming systems, robotics, and security. These projects showcase the breadth and depth of NVIDIA's commitment to advancing AI and computing technologies for societal benefit.
Some notable research projects among this year's awardees include:
* Anish Saxena from Georgia Institute of Technology, who is working on "Rethinking data movement across the stack — spanning large language model architectures, system software, and memory systems — to improve the efficiency of LLM training and inference."
* Jiawei Yang from University of Southern California, who is creating scalable, generalizable foundation models for autonomous systems through self-supervised learning, leveraging neural reconstruction to capture detailed environmental geometry and dynamic scene behaviors.
* Sreyan Ghosh from University of Maryland, College Park, who is advancing audio processing and reasoning by designing resource-efficient models and training techniques, improving audio representation learning, and enhancing audio perception for AI systems.
These researchers, along with their colleagues, will have access to NVIDIA's cutting-edge technologies, expertise, and resources to advance their research projects. The fellowship program aims to not only support the advancement of AI and computing research but also foster a culture of innovation, collaboration, and knowledge-sharing among top talent in these fields.
The 2025-2026 fellowship recipients are:
1. Anish Saxena, Georgia Institute of Technology
2. Jiawei Yang, University of Southern California
3. Jiayi (Eris) Zhang, Stanford University
4. Ruisi Cai, University of Texas at Austin
5. Seul Lee, Korea Advanced Institute of Science and Technology
6. Sreyan Ghosh, University of Maryland, College Park
7. Tairan He, Carnegie Mellon University
8. Xiaogeng Liu, University of Wisconsin–Madison
9. Yunze Man, University of Illinois Urbana-Champaign
10. Zhiqiang Xie, Stanford University
In addition to these awardees, NVIDIA also acknowledges a group of 2025-2026 fellowship finalists:
1. Bo Zhao, University of California, San Diego
2. Chenning Li, Massachusetts Institute of Technology
3. Dacheng Li, University of California, Berkeley
4. Jiankai Sun, Stanford University
5. Wenlong Huang, Stanford University
These finalists have demonstrated exceptional potential in their research projects and will continue to be supported by NVIDIA as they move forward with their academic careers.
The NVIDIA Graduate Fellowship Program is an exemplary initiative that reflects the company's commitment to nurturing future generations of researchers and innovators. By providing essential funding and resources, NVIDIA is empowering top talent to push the boundaries of AI and computing research, driving innovation, and advancing societal benefits.
In conclusion, this year's round of awards from the NVIDIA Graduate Fellowship Program demonstrates the organization's dedication to supporting promising PhD students worldwide. These awardees and finalists represent a diverse range of institutions and research areas, showcasing the breadth and depth of NVIDIA's commitment to AI and computing innovation.
Related Information:
https://blogs.nvidia.com/blog/graduate-fellowship-recipients-2025-2026/
https://research.nvidia.com/graduate-fellowships
Published: Wed Dec 18 10:04:49 2024 by llama3.2 3B Q4_K_M
