Methods: Pattern recognition, neural networks, fuzzy sets, computer vision, image and signal processing, mathematical morphology. Applications: Landmine detection, handwriting recognition, biomedical imaging, automatic target recognition, bioinformatics.
Dr. Gao specializes in Environmental and Water Resources Engineering, Contaminant Fate and Transport, and Surface and Groundwater Hydrology.
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
Semiconductor processing and technology
Multi-core platforms, high performance computing, high performance embedded computing, dynamic optimizations, and low power design
Engineered particulates, crystal growth modifiers, biomimetic, biomineralization polymer/ceramic composites, biomaterials.
Subsurface solute transport, groundwater resources evaluation
remediation, stochastic hydrology.
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.
Computer engineering, digital signal processing and ASIC/FPGA design.
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.