Potential Advisors for Doctor of Engineering Students

Scientific machine learning algorithm development for physical and biological systems Artificial intelligence for science AI accelerated numerical simulations Computational solid mechanics

Micro and Nanosystems Robotics Intelligent Systems Smart Materials Surface Science

Stochastic finite element methods Probabilistic mechanics Stochastic simulation of material properties Micromechanics

Neural activity underlying behavior

Protein structure prediction and design Protein-protein docking Antibody engineering Deep learning Membrane protein modeling Glycoprotein modeling

Tissue engineering Stem cells Bioreactors Biomaterials Orthopaedics Bone Muscle Musculoskeletal

Cellular engineering and nanobiotechnology Biomaterials Controlled drug delivery Gene therapy

Cryptography Computer security

Design and analysis of algorithms for continuous optimization problems beyond the limited areas where classical theory applies