A dynamic, graph-driven Multidisciplinary Design Optimization (MDO) framework integrating FalkorDB, OpenMDAO, and multi-fidelity surrogate models.
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Updated
Mar 23, 2026 - Python
A dynamic, graph-driven Multidisciplinary Design Optimization (MDO) framework integrating FalkorDB, OpenMDAO, and multi-fidelity surrogate models.
Comprehensive literature review of Orbital uncertainty propagation methods
Bayesian optimisation of retardant-drop plans for wildfire-fighting drone swarms. Cellular-automata fire simulator, a fire-front-relative (s, r, δ) search parameterisation, and multi-fidelity BO benchmarked against hand-designed heuristics on synthetic stress tests and a Victoria-style scenario.
Second guided project for the Scientific Computing Tools for Advanced Mathematical Modeling course of the MSc in Mathematical Engineering @ Polimi, A.Y. 2024-2025.
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