Modeling Biocomplexity
We are investigating static and dynamic complexity in ecosystems due to environmental and temporal variations. The modeling paradigm we use is a network of autocatalytic reactions in a network of reactors. Of particular interest are conditions for coexistence and biodiversity in ecosystems; theoretical basis of extinction pressures; and development of control and harvesting strategies for managed ecosystems.
Agents-Based Monitoring and Control
We are working on the monitoring and control of microreactor networks using a multi-agents paradigm. Distributing the decision making capabilities to multiple agents enables us to study stability,scalability, performance, and robustness of the system in the context of each sub-task and the synergy created by them.