Potential Advisors for Doctor of Engineering Students

Developing biomolecules, materials and electronic devices for probing and modulation in biological systems, especially the central nervous system

Reliable and human-compatible AI systems Interactive machine learning Distributionally robust learning Distribution shift

Designing and synthesizng materials at the molecular and the microscopic level developing novel electrochemical processes using functional materials Using advanced characterization tools to correlate microscopic phenomena with macroscopic performance.

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