Computing Contact Problems with Self-Conforming Hybrid Materials

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.

Resilient Extraterrestrial Habitats

Developing smart autonomous deep space habitats that will adapt, absorb and rapidly recover from disruptions.

Using data science to discover materials with extreme properties.

Discovery of high-temperature, oxidation resistant, complex, concentrated alloys via data science driven multi-resolution experiments and simulations.

Physics-Informed LeaRnIng for Multiscale Systems (PILgRIMS)

Baking known physics into machine learning algorithms.

Sociotechnical Systems to Enable Smart and Connected Energy-Aware Residential Communities

Incentivizing subsidized communities to consume less energy.

Automated Decision Support to Address Community Resilience Challenges

Improving the resilience of the built environment through an automated vision-based system that generates probabilistic predictions.

Design of electric machines with manufacturing uncertainties

Development of computational tools for electric machine design including manufacturing uncertainties.

Efficient Algorithms for Ultra-fast Detection of Power System Contingencies in the Transient Regime.

Ultra-fast detection of faults in the power grid.

Causal inference on Bayesian graphical networks

Learn potential causal structures with quantified uncertainties from observational data.

A Theoretical Framework for Understanding Strategic Behavior in Systems Engineering

Understanding how incentive misalignment affects the design of complex systems.