Generalized Submodular Optimization—Theory, Algorithms, and Applications
Optimal Responses to Epidemics: Models to Support Good
Risk-aware power systems operations
Data-Driven Optimization: Inverse and Structural Models
Decision making in dynamic multi-agent systems with limited resources
Digital Z (model/shadow/twin/...)
Learning Biological Priors for Large-scale Connectomics Reconstruction
On Augmenting Robotic Reinforcement Learning with Prior Datasets
On Safety, Assurance and Reliability: A Software Engineering Perspective
