Potential Advisors for Doctor of Engineering Students

Computations of multiphase flows Direct numerical simulations of complex multiphase flows including heat transfer, boiling, cavitation, solidification, surfactants, and reactions Applications to turbulent bubbly flows, atomization, additive manufacturing, and other problems Numerical methods for tracking sharp fluid interfaces Averaged and reduced order models of multiphase flows Multiscale approaches to capture small-scales in multiphase flows.

Reaction engineering separation and purification processes nano-materials zeolites metal organic frameworks

Translational Cell and Tissue Engineering

Computer-assisted medicine Computer vision Artificial intelligence and machine learning Mixed reality Medical robotics

Image-guided interventions Machine learning Medical imaging Surgical robotics

Artificial intelligence Natural language processing

Optimization for data science machine learning and optimization representation learning graph neural networks

Fundamental, nanoscale interactions to elucidate relevant experimental design parameters that will accelerate the discovery of the next generation of soft/polymeric materials