Sanjeev Khanna

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Sanjeev Khanna is an Indian-American computer scientist. He is currently a professor of Computer Science at New York University. His research interests include approximation algorithms, hardness of approximation, combinatorial optimization, and sublinear algorithms.

Khanna received his undergraduate degrees in computer science and economics from Birla Institute of Technology and Science, Pilani, India in 1990, his M.S. degree in computer science from University of Illinois at Urbana-Champaign in 1992, and his doctoral degree in computer science from Stanford University, California, US in 1996. He joined University of Pennsylvania in 1999 after spending three years as a member of the Mathematical Sciences Research center at Bell Laboratories. In 2026, he joined New York University.[1]

Research contribution and awards

References

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