Viana Céspedes, Víctor Alexandro

Research interests

Combinatorial optimization and mathematical programming
Stochastic methods (progressive hedging, scenario reduction)
Machine learning for operational productivity and prediction
Forestry logistics and supply chain management
Industry 4.0 and big data analysis in agriculture
Modeling of silvopastoral systems and water resources

Working area

My research focuses primarily on operational research, with an emphasis on optimization solutions applied to the forestry and agribusiness industries. I have experience in mathematical programming, stochastic methods, machine learning, and integrated logistics. I have developed data-driven decision-making tools for agricultural and forestry operations in contexts of uncertainty.