Benders decomposition for energy-aware task scheduling of nanosatellite constellations
Divide-and-conquer decomposition improves scalability while matching Gurobi solution quality for ONTS.
Modelagem matemática, algoritmos exatos e heurísticos, e sistemas de decisão aplicados a espaço, energia, água, logística e manufatura avançada.
Systems Optimization • Operations Research • Scientific Computing
Divide-and-conquer decomposition improves scalability while matching Gurobi solution quality for ONTS.
Operational constraints + sequencing lead to +11.5% oil production in simulation.
Dual stabilization, new inequalities and parallel DP accelerate large instances.
Hybrid GA + DP heuristic competes with B&B with strong time savings.
Projetos em otimização, sistemas inteligentes e ferramentas educacionais interativas. Bolsas e coautoria em publicações.
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Mathematical optimization sits at the interface of applied mathematics, operations research and computer science. We build formal models and efficient exact/approximate algorithms to solve real problems.
Linear, integer, convex and nonlinear programs for complex systems.
Decomposition, branch-and-price, meta-heuristics and learning-augmented optimization.
Space systems, energy, water, logistics and advanced manufacturing.
We train highly qualified students at undergrad and graduate levels.