Numerical Algorithm for Spatial Segregation of Competitive Systems. - Farid Bozorgnia (SIAM J. Sci. Comput., 2009)

Numerical algorithms for a variational problem of the spatial segregation of reaction-diffusion systems. - Farid Bozorgnia; Avetik Arakelyan (Appl. Math. Comput., 2013)

A FEM approximation of a two-phase obstacle problem and its a posteriori error estimate. - Farid Bozorgnia; Jan Valdman (Comput. Math. Appl., 2017)

A Note on the Paper "Optimality Conditions for Vector Optimization Problems with Difference of Convex Maps". - Allahkaram Shafie; Farid Bozorgnia (J. Optim. Theory Appl., 2019)

Optimal Shape Design for the p-Laplacian Eigenvalue Problem. - Seyyed Abbas Mohammadi; Farid Bozorgnia; Heinrich Voss (J. Sci. Comput., 2019)

Numerical approximations of chromatographic models. - Farid Bozorgnia; Sonia Seyed Allaei (CoRR, 2020)

A degenerate elliptic-parabolic system arising in competitive contaminant transport. - Margarida Baía; Farid Bozorgnia; Léonard Monsaingeon; Juha H. Videman (CoRR, 2021)

Approximation of the second eigenvalue of the p-Laplace operator in symmetric domains. - Farid Bozorgnia; Avetik Arakelyan (J. Comput. Appl. Math., 2023)

Graph based semi-supervised learning using spatial segregation theory. - Farid Bozorgnia; Morteza Fotouhi; Avetik Arakelyan; Abderrahim Elmoataz (J. Comput. Sci., 2023)

Improved Graph-based semi-supervised learning Schemes. - Farid Bozorgnia (CoRR, 2024)

A Laplacian-based Quantum Graph Neural Network for Semi-Supervised Learning. - Hamed Gholipour; Farid Bozorgnia; Kailash Hambarde; Hamzeh Mohammadigheymasi; Javier Mancilla; Andre Sequeira; João Neves 002; Hugo Proença 001 (CoRR, 2024)

Graph-Based Semi-Supervised Segregated Lipschitz Learning. - Farid Bozorgnia; Yassine Belkheiri; Abderrahim Elmoataz (CoRR, 2024)

The Infinity Laplacian Eigenvalue Problem: Reformulation and a Numerical Scheme. - Farid Bozorgnia; Leon Bungert; Daniel Tenbrinck (J. Sci. Comput., 2024)

A Laplacian-based quantum graph neural networks for quantum semi-supervised learning. - Hamed Gholipour; Farid Bozorgnia; Kailash Hambarde; Hamzeh Mohammadigheymasi; Javier Mancilla; Andre Sequeira; João C. Neves 001; Hugo Proença 001; Moharram Challenger (Quantum Inf. Process., 2025)