CV

Education

Ph.D. in Mathematical Optimization, Universidade Federal de Goias (UFG)
M.Sc. in Mathematical Optimization, Universidade Federal de Goias (UFG)
B.Sc. in Mathematics, Universidade Federal de Goias (UFG)

Academic Experience

2024: Postdoctoral Research in Applied Mathematics
- Universidade de Sao Paulo (USP)
- Focus: inverse problems, including EIT and conductivity problems with internal measurements
Current research focus
- Large-scale stochastic optimization for elastic Full Waveform Inversion (FWI)
- Multiobjective optimization and numerical methods
- Scientific computing and HPC workflows (Julia/Python/C)

Research Interests

Mathematical optimization
Stochastic optimization
Multiobjective optimization
Derivative-free and composite optimization
Inverse problems
Full Waveform Inversion (FWI / Elastic FWI)
Scientific computing (Julia, Python, C)
High-performance computing (HPC)

Publications

A Partially Derivative-Free Proximal Method for Composite Multiobjective Optimization in the Holder Setting

V. S. Amaral, P. B. Assuncao, and D. R. Souza. (2026). "A Partially Derivative-Free Proximal Method for Composite Multiobjective Optimization in the Holder Setting." arXiv:2508.20071 [math.OC].

Reconstruction of Voronoi diagrams: the case of inverse conductivity problems

E. G. Birgin, A. Laurain, and D. R. Souza. (2025). "Reconstruction of Voronoi diagrams: the case of inverse conductivity problems." Inverse Problems 41, 055007.

Reconstruction of Voronoi diagrams in inverse potential problems

E. G. Birgin, A. Laurain, and D. R. Souza. (2024). "Reconstruction of Voronoi diagrams in inverse potential problems." ESAIM: Control, Optimisation and Calculus of Variations 30, article number 85.

Global convergence of a BFGS-type algorithm for nonconvex multiobjective optimization problems

L. F. Prudente and D. R. Souza. (2024). "Global convergence of a BFGS-type algorithm for nonconvex multiobjective optimization problems." Computational Optimization and Applications 88(3), pp. 719-757.

A quasi-Newton method with Wolfe line searches for multiobjective optimization

L. F. Prudente and D. R. Souza. (2022). "A quasi-Newton method with Wolfe line searches for multiobjective optimization." Journal of Optimization Theory and Applications 194, pp. 1107-1140.

Método do gradiente conjugado Dai-Yuan modificado para otimização irrestrita

SOUZA, D. R. Método do gradiente conjugado Dai-Yuan modificado para otimização irrestrita. 2019. 71 f. Dissertação (Mestrado em Matemática) - Universidade Federal de Goiás, Goiânia, 2019.