A Mixed-Integer Linear Programming (MILP) model for cost-optimal truck fleet electrification and charging infrastructure planning.
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Updated
May 20, 2026 - Python
A Mixed-Integer Linear Programming (MILP) model for cost-optimal truck fleet electrification and charging infrastructure planning.
Digital twin of the Paris Fire Brigade (BSPP): event-driven simulation (~480k yearly interventions) and GPU-accelerated optimization (PyTorch, simulated annealing) of fleet allocation across 72 stations. Academic project, Ecole Polytechnique x BSPP.
End-to-end AI pipeline for autonomous drone delivery simulation over urban environments. Features: CSP validation, fleet optimization, genetic algorithms, A* pathfinding with live rerouting, ML-based demand forecasting (Random Forest, MAE: 25.56 min), anomaly detection (82.75% accuracy), and interactive Streamlit dashboard
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