Molecular beam epitaxy of materials, wide bandgap semiconductor materials, materials characterization, gate dielectrics, high-power/high-temperature device fabrication and testing.
Professor and Department Chair of Computer & Information Science & Engineering
Applied AI and data analytics,Humans and technology,Personalized learning,Lifelong workforce development,Building a culture of inclusion and innovation,Invention faculty track,Diverse talent pipeline,Public policy
Foundational AI,Applied AI and data analytics,Hazards engineering,Coastal Hazards
Applied AI and data analytics,Sensors,Energy,Space,Materials Under Extreme Environments,Lifelong workforce development
Engineered particulates, crystal growth modifiers, biomimetic, biomineralization polymer/ceramic composites, biomaterials.
Subsurface solute transport, groundwater resources evaluation
and
remediation, stochastic hydrology.
Applied AI and data analytics,Personalized medicine,Bioinformatics
Dr. Griffis has 28+ years experience in the robotics and machine design industry and is a recognized expert in motion and force control. Professional accomplishments include a novel kinestatic control strategy for force control, design and development of a sub-micron machine tool for the semiconductor industry, design and development of a fully automatic laser lace cutter, design and development of a fully automatic battery welder, and design of a control system for a robotic refueling system.…
Research interests include stochastic and discrete optimization, supply chain management, and renewable energy integration and power system operations.
Modeling and simulation of nanoelectronic devices, carbon nanotube electronics and photonics, physics of nanotransistors, computational nanobiotechnology.
Wind engineering, random vibrations, reliability, non-Gaussian
simulation, structural dynamics.
Organometallic Chemistry
Homogeneous and heterogeneous catalysis,
quantum chemical calculations,
surface characterizations.