Current Member
Rahul Ilango
Funding provided by the National Science Foundation
Affiliation
Mathematics
Field of study
Computational Complexity Theory
Home institution
Institute for Advanced Study
Rahul Ilango studies computational complexity theory, where a central goal is to find faster algorithms or prove no faster algorithms exist. He is particularly interested in questions that bridge complexity theory with related areas such as cryptography and proof complexity. One such direction is better understanding algorithms for the "Minimum Circuit Size Problem," which plays a central role in all these areas.
Visits
Member
School of Mathematics
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