Qi Zhang

Qi Zhang’s lab develops computational, data-driven methods for systems-level analysis and optimization that inform decision making in sustainable engineering applications. The proposed models and algorithms address various complex problems ranging from the effective operation of electrified chemical processes to the design of sustainable energy supply chains. Their research particularly focuses on multi-agent systems, which involve multiple self-interested decision makers, and systems with significant uncertainty, especially regarding the performance and cost of new clean technologies and weather-dependent events.