Dr. C. (Chiheb) Ben Hammouda

Universitair docent
Mathematical Modeling
c.benhammouda@uu.nl

Publicaties

2025

Wetenschappelijke publicaties

Hammouda, C. B., Chupin, M., Münker, S., & Tempone, R. (2025). Filtered Markovian Projection: Dimensionality Reduction in Filtering for Stochastic Reaction Networks. arXiv. https://doi.org/10.48550/arXiv.2502.07918
https://research-portal.uu.nl/ws/files/255299661/2502.07918v1.pdf
Hermans, T. H. J., Hammouda, C. B., Treu, S., Tiggeloven, T., Couasnon, A., Busecke, J. J. M., & van de Wal, R. S. W. (2025). Computing Extreme Storm Surges in Europe Using Neural Networks. (pp. 1-27). EGUsphere [preprint]. https://doi.org/10.5194/egusphere-2025-196
https://research-portal.uu.nl/ws/files/254465378/egusphere-2025-196.pdf

2024

Wetenschappelijke publicaties

Hammouda, C. B., Rezvanova, E., Schwerin, E. V., & Tempone, R. (2024). Lagrangian relaxation for continuous‐time optimal control of coupled hydrothermal power systems including storage capacity and a cascade of hydropower systems with time delays. Optimal Control Applications and Methods, 45(5), 2279-2311. https://doi.org/10.1002/oca.3155
https://research-portal.uu.nl/ws/files/239100305/Optim_Control_Appl_Methods_-_2024_-_Ben_Hammouda_-_Lagrangian_relaxation_for_continuous_time_optimal_control_of_coupled.pdf
Bayer, C., Hammouda, C. B., & Tempone, R. (2024). Multilevel Monte Carlo with Numerical Smoothing for Robust and Efficient Computation of Probabilities and Densities. SIAM Journal on Scientific Computing, 46(3), A1514-A1548. https://doi.org/10.1137/22M1495718
https://dspace.library.uu.nl/bitstream/handle/1874/452031/22m1495718.pdf?sequence=1
Bayer, C., Hammouda, C. B., Papapantoleon, A., Samet, M., & Tempone, R. (2024). Quasi-Monte Carlo for Efficient Fourier Pricing of Multi-Asset Options. arXiv. https://doi.org/10.48550/ARXIV.2403.02832
https://dspace.library.uu.nl/bitstream/handle/1874/437872/2403.02832.pdf?sequence=1
Hammouda, C. B., Ben Rached, N., Tempone, R., & Wiechert, S. (2024). Automated importance sampling via optimal control for stochastic reaction networks: A Markovian projection–based approach. Journal of Computational and Applied Mathematics, 446, Article 115853. https://doi.org/10.1016/j.cam.2024.115853
https://dspace.library.uu.nl/bitstream/handle/1874/436733/1-s2.0-S037704272400102X-main.pdf?sequence=1

2023

Wetenschappelijke publicaties

Bayer, C., Ben Hammouda, C., Papapantoleon, A., Samet, M., & Tempone, R. (2023). Optimal damping with a hierarchical adaptive quadrature for efficient Fourier pricing of multi-asset options in Lévy models. Journal of Computational Finance, 27(3), 43-86. https://doi.org/10.21314/jcf.2023.012
Ben Hammouda, C., Bayer, C., & Tempone, R. (2023). Multilevel Monte Carlo combined with numerical smoothing for robust and efficient option pricing and density estimation. (pp. 1-39). arXiv. https://doi.org/10.48550/ARXIV.2003.05708
https://dspace.library.uu.nl/bitstream/handle/1874/436016/2003.05708.pdf?sequence=1
Hammouda, C. B., Rezvanova, E., von Schwerin, E., & Tempone, R. (2023). Lagrangian Relaxation for Continuous-Time Optimal Control of Coupled Hydrothermal Power Systems Including Storage Capacity and a Cascade of Hydropower Systems with Time Delays. (pp. 1-38). arXiv. https://doi.org/10.48550/arXiv.2311.00794
https://dspace.library.uu.nl/bitstream/handle/1874/435983/2311.00794v1.pdf?sequence=1
Ben Hammouda, C., Tempone, R., Wiechert, S., & Ben Rached, N. (2023). Learning-Based Importance Sampling via Stochastic Optimal Control for Stochastic Reaction Networks. Statistics and Computing, 33(3), Article 58. https://doi.org/10.1007/s11222-023-10222-6
https://dspace.library.uu.nl/bitstream/handle/1874/433202/s11222-023-10222-6.pdf?sequence=1

2022

Wetenschappelijke publicaties

Ben Hammouda, C., Bayer, C., Samet, M., Papapantoleon, A., & Tempone, R. (2022). Optimal Damping with Hierarchical Adaptive Quadrature for Efficient Fourier Pricing of Multi-Asset Options in Lévy Models. (pp. 1-36). arXiv. https://doi.org/10.48550/ARXIV.2203.08196
https://dspace.library.uu.nl/bitstream/handle/1874/436017/2203.08196.pdf?sequence=1
Bayer, C., Ben Hammouda, C., & Tempone, R. (2022). Numerical smoothing with hierarchical adaptive sparse grids and quasi-Monte Carlo methods for efficient option pricing. Quantitative Finance, 23(2). https://doi.org/10.1080/14697688.2022.2135455

2020

Wetenschappelijke publicaties

Ben Hammouda, C., Ben Rached, N., & Tempone, R. (2020). Importance sampling for a robust and efficient multilevel Monte Carlo estimator for stochastic reaction networks. Statistics and Computing, 30, 1665-1689. https://doi.org/10.1007/s11222-020-09965-3
Ben Hammouda, C., Tempone, R., & Bayer, C. (2020). Hierarchical adaptive sparse grids and quasi-Monte Carlo for option pricing under the rough Bergomi model. Quantitative Finance. https://doi.org/10.1080/14697688.2020.1744700

2017

Wetenschappelijke publicaties

Ben Hammouda, C., Moraes, A., & Tempone, R. (2017). Multilevel hybrid split-step implicit tau-leap. Numerical Algorithms. https://doi.org/10.1007/s11075-016-0158-z