Building and site systems integration; structures and landscape performance; building and urban resilience; green infrastructure; socio-ecological factors in design, transdisciplinary teaching and learning
Accelerators for compute intensive applications: reconfigurable hardware and graphics processing units (GPUs). Applications including biocomputing, machine learning, software-defined radio. Uses and implementations of computer arithmetic.
Power electronics, dc-dc converters, pulse width modulation, motion control, electric motor drives, analog circuits, control theory, differential equations, time delays, nonlinear systems and control, industrial control.
Gasification and combustion of solid fuels, generation and containment of combustion-generated pollution, synthesis and characterization of combustion-generated materials, fire suppression – fire extinction, engine design and operation
Physical modeling of cancer progression, metastasis and interaction with the immune system. Most recent interests include the role of metabolic plasticity in these processes and the co-evolution of the tumor and the adaptive immune system. Other areas include spatial organization of the actin cytoskeleton, the mechanics of collective cell motility, and the analysis of genetic circuits involved in cell fate decisions.
Structure-property relationships in magnetofunctional materials for energy transformations including advanced permanent magnet materials and magnetocaloric materials; strategic materials and supply chains for technological application
Human-machine systems, human factors, biosensing and smart systems, human state and behavior modeling, transportation safety, healthcare and patient safety, human-friendly mechatronics, and human-robot interaction
multiscale/multiphysics computational modeling of complex materials and structures; computational mechanics; large scale impact and blast simulation; high performance computing; mechanics-encoded deep learning for material modeling.
computational systems biology, an integration of mathematical modeling and bioinformatics for studying gene regulatory networks, single cell genomics, epithelial-mesenchymal transition, coarse-graining, reverse engineering, machine learning, stochasticity and heterogeneity in gene expression
design and manipulation of molecular/materials chemistry and structure for new property discovery, new functionality and technology development by combining theoretical and experimental methods; high performance computing, quantum chemistry, statistical mechanics, polymer physics, materials and biomolecular engineering