Potential Advisors for Doctor of Engineering Students

Theory and applications of convex and non-convex optimization in large-scale machine learning and data science problems

Atmospheric science and wind Energy Wind energy Large-eddy simulation Numerical weather prediction Turbulence Atmosphere-ocean coupling

Energy Storage Electrochemistry Solid-state Ionics Materials Characterization

Computational modeling of growth factor-receptor networks personalized medicine therapeutic cardiovascular remodeling novel methods for data visualization and automated image analysis

Analysis Partial differential equations Algebraic topology Big data Data intensive computation Harmonic analysis over manifolds and over discrete structures

Control of Networked Systems Power Systems Optimization Machine Learning

Biomaterials, Regenerative Engineering Therapeutic Delivery Immunoengineering Nanomedicine