Potential Advisors for Doctor of Engineering Students

Genomics Sequence alignment Text indexing High-performance computing Big data

Building theoretical foundations for probabilistic methods in modern machine learning with a view towards designing more efficient and reliable algorithms

Terradynamics Locomotion Comparative biomechanics Biorobotics Robophysics

Theoretical computer science Computational complexity Coding theory Cryptography

Imaging and devices MedTech Neurophotonics and translational biophotonics

Neurosymbolic programming AI4Code

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.