Seyedali Mousavi, Post Doc
I have a PhD in Pure Mathematics, specializing in Commutative Algebra. My current research focuses on leveraging Clifford Algebra in Machine Learning and Quantum Neural Networks to incorporate the geometric structure of data, aiming to enhance model robustness and performance.
Training-Free Quantum Architecture Search Under Realistic Noise via Expressibility-Guided Evolution (Mar 2026) Seyedali Mousavi, Seyedhamidreza Mousavi, Paul Pettersson, Masoud Daneshtalab
proard: progressive adversarial robustness distillation: provide wide range of robust students (Jul 2025) Seyedhamidreza Mousavi, Seyedali Mousavi, Masoud Daneshtalab International Joint Conference on Neural Networks 2025 (IJCNN 2025)
On Representable Rings and Modules (Mar 2022) Seyedali Mousavi Kyungpook Mathematical Journal (KMJ)
FARMUR: Fair Adversarial Retraining to Mitigate Unfairness in Robustness Seyedhamidreza Mousavi, Masoud Daneshtalab, Seyedali Mousavi Advances in Databases and Information Systems (ADBIS 2023)