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I am a final-year PhD student in the Department of Computer Science at Duke University, where I have the immense fortune of being advised by Pankaj K. Agarwal. Prior to this, I completed my Master's degree at the Department of Computer Science and Automation at the Indian Institute of Science (IISc), Bangalore.
My research lies at the intersection of algorithms, machine learning, and data management, with areas of focus including learning-augmented algorithms, algorithms for large-scale data analysis, learned database systems, and algorithmic methods for data discovery. I am keenly interested in bridging theory and practice; a major theme of my work is designing algorithms that combine provable guarantees with real-world efficiency.
Recent Publications
Recent Publications
* Authors are listed in alphabetical order.
Rahul Raychaudhury, Wen-Zhi Li, Syamantak Das, Sainyam Galhotra, and Stavros Sintos. Metric Clustering and Graph Optimization Problems using Weak Comparison Oracles. Annual Conference on Learning Theory (COLT), 2025.
Aryan Esmailpour, Sainyam Galhotra, Rahul Raychaudhury, and Stavros Sintos.* A Theoretical Framework for Distribution-Aware Dataset Search. ACM Symposium on Principles of Database Systems (PODS), 2025.
Sainyam Galhotra, Rahul Raychaudhury, and Stavros Sintos.* k-Clustering with Comparison and Distance Oracles. ACM Symposium on Principles of Database Systems (PODS), 2025.
Mohsen Dehghankar, Rahul Raychaudhury, Stavros Sintos, and Abolfazl Asudeh. Fair Set Cover. ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2025.
Pankaj K. Agarwal, Sariel Har-Peled, Rahul Raychaudhury, Stavros Sintos.* Fast Approximation Algorithms for Piercing Boxes by Points. ACM-SIAM Symposium on Discrete Algorithms (SODA), 2024.
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