Research interests focus on applying formal methods to the design and analysis of complex systems such as Cyber-Physical Systems and Collective Adaptive Systems
Developed original frameworks to control and optimize system behavior while accounting for spatio-temporal dynamics
Created a spatio-temporal logic to formally specify system performance requirements and scalable monitoring algorithms to verify them
Investigates non-deterministic imprecisions in spatio-temporal logics, including sample and parameter uncertainty, and aims to discover more precise and expressive specifications
Experienced in analyzing stochastic systems and statistical verification; combines formal methods with machine learning for parameter estimation and synthesis
Developed methodology to automatically learn temporal logic specifications from data, enabling automatic description of desired or undesired system behaviors