Morteza Zadimoghaddam

Morteza Zadimoghaddam

I am a staff research scientist (L6) at Google Zurich office in Switzerland. Previously, I spent 4 years in Google Cambridge, two years in the same Zurich office and 4 years in the New York office where I started my career at Google in January 2014. Prior to Google, I did my PhD in computer science at MIT (CSAIL) under supervision of Professor Erik D. Demaine. I work on applying optimization techniques to various practical problems in order to find provably efficient algorithms. In particular, I apply infrastructure optimization methods to save computational resources at scale. On the mathematical and research side, I am interested in Submodular Optimization and its applications in large scale data mining and machine learning problems.
Authored Publications
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    Google
The Cost of Consistency: Submodular Maximization with Constant Recourse
Paul Duetting
Federico Fusco
Ashkan Norouzi Fard
Ola Svensson
Proceedings of the 57th Annual ACM Symposium on Theory of Computing (2025), 1406–1417
Deletion Robust Non-Monotone Submodular Maximization over Matroids
Paul Duetting
Federico Fusco
Ashkan Norouzi Fard
Journal of Machine Learning Research, 26 (2025), pp. 1-28
Consistent Submodular Maximization
Paul Duetting
Federico Fusco
Ashkan Norouzi Fard
Proceedings of the 41st International Conference on Machine Learning, PMLR (2024), pp. 11979-11991
Consistent Submodular Maximization
Paul Duetting
Federico Fusco
Ashkan Norouzi Fard
Proceedings of the 41st International Conference on Machine Learning, PMLR (2024), pp. 11979-11991
Consistent Submodular Maximization
Paul Duetting
Federico Fusco
Ashkan Norouzi Fard
Proceedings of the 41st International Conference on Machine Learning (2024), pp. 11979-11991
Consistent Submodular Maximization
Paul Duetting
Federico Fusco
Ashkan Norouzi Fard
Proceedings of the 41st International Conference on Machine Learning (2024)
Edge-Weighted Online Bipartite Matching
Runzhou Tao
Zhiyi Huang
Journal of the ACM, 69 (2022), 45:1-45:35
Distributed load balancing: a new framework and improved guarantees
Allen Liu
Binghui Peng
Innovations in Theoretical Computer Science (2021)