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Graduate Students

10 Computer Science Students Selected for New Amazon AI PhD Fellowship

10/22/2025 - Amazon just announced its new AI PhD Fellowship program, which will provide two years of funding for more than 100 PhD students at nine universities who are pursuing research on core AI disciplines such as machine learning, computer vision, and natural-language processing. The goal of the program is to help drive the innovations that will underwrite the next step in the evolution of practical AI.

Ph.D. Student earns prestigious fellowship

A protrait of Vinayak M. Kumarr against a burnt orange background.

04/03/2025 - The Department of Computer Science is proud to celebrate fourth-year Ph.D. student, Vinayak M. Kumar, who earned a coveted fellowship with Jane Street.Jane Street, a trading firm that utilizes technology and “a scientific approach” in its business, announced Kumar as one of its nine fellows in the 2025 Graduate Research Fellowship Award class. Fellows come from over 15 different universities in wide range disciplines including computer science, mathematics, physics, and statistics.

Texas RoboCup Team on KXAN

NAO Humanoid robots playing soccer in the Intelligent Robotics lab in the UT Computer Science Gates Dell Complex.

08/12/2024 - Are AI robots the future of sports? These UT students think soAustin (KXAN) — A team of UT students, led by Professor Peter Stone, recently triumphed at the RoboCup Home competition in the Netherlands, where their AI-powered robots autonomously played soccer. The students believe their research is paving the way for a future where robots can compete against humans in sports, revolutionizing the field of AI robotics.

UT Computer Science Students Win Prestigious NSF Graduate Research Fellowships

Three students working in a computer science lab together looking at a segway robot.

05/20/2024 - The National Science Foundation (NSF) has announced the recipients of its prestigious Graduate Research Fellowships (NSF GRFP) for 2024, and students from the Department of Computer Science at The University of Texas at Austin's College of Natural Sciences (CNS) have been prominently recognized. This year, four Computer Science students were honored with fellowships or honorable mentions, highlighting their outstanding contributions and potential in various cutting-edge research areas.

Understanding the Mathematical Foundations Behind Challenging Puzzle Design

image of a disentanglement puzzle. A blue square with a three by three grid with a red donut looped around one of the grid lines of the square. View from top and view from bottom.

02/01/2024 - Researchers from The University of Texas at Austin and McGill University delve into the mathematical intricacies of wire puzzle design. Focusing on geometrical aspects, they establish criteria for puzzle characteristics, emphasizing the importance of a challenging experience. The team introduces quantitative metrics to assess tunnel-bubble structures, demonstrating their effectiveness in distinguishing puzzles from non-puzzles. Their findings provide a foundation for an optimization model, shaping the future of wire puzzle design.

Professor Vijay Chidambaram Creates Free Resource for Aspiring Computer Science Professors

Professor Vijay Chidambaram leaning against the GDC stairway smiling. A slanted orange overlay with text reads, 'The CS Assistant Professor Handbook: Essential know-how for new and aspiring computer science professors by Vijay Chidambaram'

11/15/2023 - Academia can be opaque from the outside to folks who wonder what being a professor is like. This can be a hurdle for aspiring graduate students, who are interested in the role, but are anxious about all the different things that are required as a professor. Vijay Chidambaram, Professor of Computer Science at UT Austin, has authored a book, "The CS Assistant Professor Handbook: Essential know-how for new and aspiring computer science professors", to tackle this challenge.

Unlocking the Power of Bilevel Optimization: BOME

A night view of a city scene with multiple highway overpasses overlapping.

11/08/2023 - In mathematical optimization, a new approach is emerging, promising to transform how we tackle intricate challenges across various domains. Consider the complexity of bilevel optimization, a problem that has confounded experts in machine learning, engineering, and other fields. Recent advances are providing new insights into this intricate landscape, presenting a streamlined technique that has the potential to significantly enhance our ability to navigate these complex problems.