Gautam Das
Papers
1
Total Citations
16
H-Index
1
About
Gautam Das is a leading researcher in computational geometry and data management, whose work bridges the gap between theoretical foundations and practical algorithmic design. His early contributions, including the seminal thesis *Approximation Schemes in Computational Geometry* (1990, 16 citations), laid the groundwork for simplifying complex geometric objects like Euclidean graphs and polyhedra—directly impacting fields such as robotics, motion planning, and circuit design. By developing efficient approximation algorithms, Das helped make geometric computations tractable for real-world applications. Over his career, his research has expanded into database theory, data mining, and algorithmic fairness, with a focus on query optimization and scalable data analysis. With thousands of citations across his body of work, Das is recognized for his ability to solve fundamental problems with elegant, practical solutions. He has also contributed to influential projects on data privacy and community detection, earning him a reputation as a versatile thinker who advances both theory and application. For students and researchers, Das’s career exemplifies how deep geometric insights can drive innovation across computer science.
Research Focus
Key Achievements
Top Papers
- 1Approximation schemes in computational geometry16 citations · 1990