Applied AI and data analytics,Cybersecurity,Semiconductor,Diverse talent pipeline
Network-computing, advanced computing architecture, biologically-inspired nanocomputing, distributed information processing systems.
Semiconductor device theory, modeling, simulation; scaled CMOS
integrated circuits and devices, including SOI and DG MOSFETs.
Agroclimatology, crop growth modeling, precision agriculture technology, irrigation and
geographic information system (GIS) based decision support systems.
Applied AI and data analytics,Resource management
Foundational AI,Cybersecurity,National Security,Assured Autonomy
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
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.…
