Arijit Bishnu

Arijit Bishnu is an Associate Professor at the Indian Statistical Institute in the Advanced Computing and Microelectronics Unit (ACMU). He has taught courses such as Design and Analysis of Algorithms, Randomized Algorithms, Computational Geometry, and Algorithms for Big Data over multiple years (2008–2025), focusing on theoretical and applied aspects of computer science.

• Research Interests: His work spans Theoretical Computer Science, Randomized and Approximation Algorithms, Computational Geometry, and Combinatorics. He explores problems in sublinear algorithms, streaming computation, geometric data analysis, and complexity theory.
• Publications: Recent papers include contributions to STOC 2025, RANDOM 2025, and APPROX 2024, covering topics like property testing, triangle counting complexity, and streaming algorithms. Collaborations with researchers like Sourav Chakraborty, Gopinath Mishra, and Sayantan Sen highlight his interdisciplinary approach.
• Academic Leadership: He has co-organized research courses such as Approximation Algorithms and Topics in Algorithms and Complexity, emphasizing mentorship and knowledge dissemination in theoretical computer science.

His comprehensive work integrates algorithmic innovation with rigorous mathematical analysis, advancing computational techniques for large-scale and geometric data.