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Bozorgnia Farid

Bozorgnia Farid

Associate Professor

Biography

Farid Bozorgnia was an Associate Researcher in the Department of Mathematics at Instituto Superior Técnico (IST), Lisbon. He received his PhD in Mathematics from the Royal Institute of Technology (KTH) in Stockholm in 2009, with a dissertation on numerical algorithms for free boundary problems. He also holds a Master’s degree in Applied Mathematics from Polytechnic University in Tehran. His academic experience spans Portugal, Germany, Sweden, Iran, and Brazil, where he has held research and teaching positions at institutions including Örebro University, Persian Gulf University, and the University of Texas at Austin.

Bozorgnia's research lies at the intersection of numerical PDEs, optimization, machine learning, and graph-based models. He has been invited to speak at numerous international conferences and workshops, and has supervised multiple graduate theses in applied mathematics and computational science.

Publications

Bozorgnia, F., Kwon, D., & Tu, S. N. T. (2024). Additive eigenvalues of superquadratic Hamilton–Jacobi equations. Journal of Differential Equations.

Bozorgnia, F., Bungert, L., & Tenbrinck, D. (2024). Infinity Laplacian eigenvalue problems and numerical schemes. Journal of Scientific Computing, 98(40).

Bozorgnia, F., & Arakelyan, A. (2024). Uniqueness in discrete systems on connected graphs. Nonlinear Analysis, 239, 113439.

Bozorgnia, F., Fotouhi, M., & Arakelyan, A. (2023). Graph-Based Semi-supervised Learning via Spatial Segregation Theory. Journal of Computational Science, 74, 102153.

Bozorgnia, F., & Arakelyan, A. (2023). Second eigenvalue approximation for p-Laplace operator. Journal of Computational and Applied Mathematics, 434, 115349.

Conferences attended

ENUMATH, Lisbon, 2023

Workshop on Applied Harmonic Analysis and Machine Learning, Genoa, 2024

Workshop on Variational Methods for PDEs, Poland, 2024

Summer School, University of Warsaw, 2024

Hausdorff Research Institute for Mathematics, Bonn, 2022

Isaac Newton Institute, Cambridge, 2014

IPAM, UCLA, 2020

Erwin Schrödinger Institute, Vienna, 2022

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