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Inside the Quiet Revolution – How Derandomization Theory in Coding Is Rewriting the Rules of Communication

May 7, 2026

Circuit Lower Bounds for MCSP from Local Pseudorandom Generator

May 7, 2026

How MIT Computer Science and Artificial Intelligence Lab Keeps Outrunning Silicon Valley

May 7, 2026

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Inside the Quiet Revolution – How Derandomization Theory in Coding Is Rewriting the Rules of Communication

News May 7, 2026

The idea of eliminating randomness from a system that relies on it has an almost…

Circuit Lower Bounds for MCSP from Local Pseudorandom Generator

May 7, 2026

How MIT Computer Science and Artificial Intelligence Lab Keeps Outrunning Silicon Valley

May 7, 2026

Nearly Optimal Robust Secret Sharing – The Quiet Breakthrough Reshaping Cryptography

May 7, 2026

Submodular Functions Are Noise Stable – The Quiet Math Result That Changed Machine Learning

May 7, 2026

Nearly Optimal Deterministic Algorithm for Sparse Walsh-Hadamard Transform

May 7, 2026

Non-Malleable Codes against Active Physical Layer Adversary – The Quiet Breakthrough Cryptographers Have Been Waiting For

May 7, 2026

Mahdi Cheraghchi teaches computer science and engineering as an associate professor at the University of Michigan, Ann Arbor's EECS Department. His work focuses on the mathematical underpinnings of dependable, private, and effective computation at the nexus of theoretical computer science, coding and information theory, and cryptography.
He worked in the Laboratory of Algorithms under Professor Amin Shokrollahi at EPFL (École Polytechnique Fédérale de Lausanne), Switzerland, where he obtained his PhD in Computer Science. After earning his PhD, he worked as a post-doctoral fellow at MIT, Carnegie Mellon, and UT Austin before becoming a faculty member at Imperial College London and then the University of Michigan. The US National Science Foundation is providing funding for his research (NSF CCF-2107345 and NSF CCF-2006455).

Top Insights

Inside the Quiet Revolution – How Derandomization Theory in Coding Is Rewriting the Rules of Communication

May 7, 2026

Circuit Lower Bounds for MCSP from Local Pseudorandom Generator

May 7, 2026

How MIT Computer Science and Artificial Intelligence Lab Keeps Outrunning Silicon Valley

May 7, 2026

Nearly Optimal Robust Secret Sharing – The Quiet Breakthrough Reshaping Cryptography

May 7, 2026

Submodular Functions Are Noise Stable – The Quiet Math Result That Changed Machine Learning

May 7, 2026

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