Bio
Rushil Dandamudi is a doctoral student in the computer science department advised by Saikat Guha. Initially studying post-quantum cryptography and non-local games, he now specializes in communications and optimization. Some examples of his applied machine learning work include simulating many-body systems for quantum benchmarking, and designing quantum receivers to boost optical communications.
Recent Publications
Effort-aware Fairness: Incorporating a Philosophy-informed, Human-centered Notion of Effort into Algorithmic Fairness Metrics
, , https://arxiv.org/abs/2505.19317, (2025)
Related Events
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October 19, 2022 1:00 pmQCCC SeminarFrom 1 to K: Improved Certifiable Randomness
Rushil Dandamudi(QuICS)
