Laxman Dhulipala

Assistant Professor
Education: 
Ph.D., Carnegie Mellon University (Computer Science)
Biography: 

Laxman Dhulipala will begin as an assistant professor in the Department of Computer Science on July 1, 2022.

He is currently a visiting researcher at Google Research NYC, where he is collaborating with researchers in the Graph Mining team to build practical and theoretically-efficient parallel clustering algorithms for sparse graph-based data.

Dhulipala’s research revolves around designing high-performance parallel, dynamic and streaming graph processing algorithms and systems, with a focus on both practical and theoretical efficiency.

He received his doctoral degree in computer science from Carnegie Mellon University (CMU) in 2020. Dhulipala previously completed a postdoctoral fellowship at MIT.

He was the recipient of the 2018 Best Paper Award at the Association for Computing Machinery (ACM) Symposium on Parallelism in Algorithms and Architectures and the 2019 distinguished paper award at the Programming Language Design and Implementation conference. Dhulipala was awarded an honorable mention in CMU’s School of Computer Science Dissertation Award and was nominated by CMU for the ACM Dissertation Award.

Go here to view Dhulipala’s academic publications on Google Scholar.

Publications

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