Matthew Hale received his BSE summa cum laude from the University of Pennsylvania and received his MS and Ph.D. from Georgia Tech. His work is driven by designing and analyzing multi-agent coordination algorithms that function well under challenging conditions, such as asynchronous information sharing, noisy communications, and user privacy requirements. His work deploys these algorithms on teams of flying and ground robots, providing both validation of the underlying theory and further research directions.
Microwave remote sensing of land surface conditions, land surface
process modeling for different terrain types, sub-surface hydrology,
moisture and energy transport in soil.
Model linkage/integration, ecological and risk modeling, environmental decision analysis.
Design optimization, design sensitivity analysis, computational mechanics, computational acoustics, mesh-free method.
Computer aided design, rapid prototyping, design optimization and finite element methods.
Precision agriculture, variable rate application, machine systems design, sensor development, instrumentation, machine vision/image processing, farm automation.
Robust control, uncertainty modeling, aeroservoelasticity, nonlinear limit cycle oscillations, flight test techniques, time-frequency wavelet analysis.
Research interests include high-dimensional learning, stochastic optimization, algorithms and their applications to medical decision-making & traffic modeling.
Forrest Masters, Ph.D., P.E., is a Professor of Civil and Coastal Engineering in the Engineering School of Sustainable Infrastructure & Environment at the University of Florida. His research primarily focuses on hurricane effects on the built environment. Dr. Masters has conducted field experiments in 36 named storms, including recent Category 4 storms Harvey and Laura and Category 5 Michael.…
Design automation for embedded systems, system-level design, validation of programmable architectures, VLSI CAD algorithms, design space exploration of SOC architectures.
Fundamental structure-property, processing, performance relationships of electronic materials. Development of new electroceramics, ferroelectric devices, Induced crystallographic transformations.
Digital signal processing, adaptive signal processing, nonlinear
dynamical systems, radar applications.
Signals and Systems, Computational and Systems Neuroscience, Neural Engineering
Adaptive, non-Gaussian signal processing, nonlinear dynamical
systems, information-theoretic learning, applications to pattern
recognition and DSP systems, information technology in
education.