Andre Augusto Cire

Research Areas

• Coupled Dynamic Systems. In many settings, multiple interconnected components evolve stochastically over time and compete for shared resources, such as managing inventory across a supply network, allocating capacity across hospital units, or coordinating service levels across locations. Because decisions in one part of the system affect outcomes elsewhere, there is an inherent tradeoff between system complexity to enforce coordination, and the need for tractable models that can be solved efficiently. My research investigates structural properties for coupled systems, exact methods, and approximation techniques that retain strong theoretical guarantees on performance.
• Leveraging Structure-aware Data in Combinatorial Optimization. I have been one of the pioneers in designing network and decision-diagram formulations for optimization and stochastic optimization problems. The fundamental idea is to leverage structure in instance-specific settings to transform complex combinatorial constraints into tractable representations, while preserving tractability or strong bounds on solution quality. This approach has led to significant advances in both theory and practice, providing scalable solutions for previously intractable domains.
• Applications in Supply Chains and Healthcare. I apply these methodological advances to operational systems where resource coupling and uncertainty are central, informing capacity planning, allocation, scheduling, and system design decisions.

Publications