Realize a novel hybrid material that self-conforms around an object of interest as a physical route for computing and reporting the object’s shape.
Developing smart autonomous deep space habitats that will adapt, absorb and rapidly recover from disruptions.
Discovery of high-temperature, oxidation resistant, complex, concentrated alloys via data science driven multi-resolution experiments and simulations.
Baking known physics into machine learning algorithms.
Incentivizing subsidized communities to consume less energy.
Improving the resilience of the built environment through an automated vision-based system that generates probabilistic predictions.
Development of computational tools for electric machine design including manufacturing uncertainties.
Ultra-fast detection of faults in the power grid.
Learn potential causal structures with quantified uncertainties from observational data.
Understanding how incentive misalignment affects the design of complex systems.