Amir Yehudayoff

Amir Yehudayoff is a Professor at the Department of Computer Science, University of Copenhagen, specializing in the Algorithms and Complexity section. His work bridges theoretical mathematics with computational efficiency, focusing on combinatorial problems and algorithmic paradigms.

• Research Themes: Computational complexity, geometric algorithms, and mathematical optimization, with applications in machine learning theory and data analysis.
• Recent Publications: Contributions to intersection body operators, Borsuk-Ulam stability, and matrix rank analysis, emphasizing theoretical rigor and practical implications.
• Labs & Collaborations: Active member of the Basic Algorithms Research Copenhagen (BARC) and Danish Center for Big Data Analytics (DABAI), fostering theoretical-industry synergies.