Establishing and maintaining productive research program, teaching courses at the undergraduate and graduate levels in the Nuclear Engineering Program, mentor and graduate Ph.D. students, participate in activities related to the profession.
Wireless power, energy harvesting, RF/microwave components
Teaching Interests: Computational fluid science (aka CFD), Large scale simulation of complex flows, transition and turbulence, multiphase flows, environmental flows
Professor Barooah received his Ph.D. in 2007 from the University of California, Santa Barbara. From 1999 to 2002 he was a research engineer at United Technologies Research Center, East Hartford, CT. He received the M. S. degree in Mechanical Engineering from the University of Delaware in 1999 and the B.Tech degree in Mechanical Engineering from the Indian Institute of Technology, Kanpur, in 1996.…
Neural mechanisms of perception and motor behavior (using both experimental and modeling approaches), neuronal oscillations and attentional control, information processing in the brain, development of advanced signal processing methods for the analysis of nonstationary, multivariate neurobiological data, mathematical analysis of oscillatory neural networks, behavior and brain analysis of sensorimotor coordination, first passage time problems in stochastic processes, theory of nonlinear dynamical systems
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.
The Banks Family Preeminence Endowed Professor and Chair, Department of Computer & Information Science & Engineering
Dr. Forrest Masters serves as Associate Dean for Research and Facilities and is a professor in our Engineering School of Sustainable Infrastructure & Environment. He earned his Ph.D. in civil (structural) engineering from the University of Florida in 2004. Dr. Masters has received support from more than 40 grants from state, federal and private sources, including the NSF CAREER and MRI Programs.…
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.
Semiconductor sensors and devices.
Signals and Systems, Computational and Systems Neuroscience, Neural Engineering
Large-scale software systems, parallel and distributed computing, CRM, data mining, optimization and biomedical computing.
Research Interests: Computational neuroscience, Sensorimotor control, Control theory, Data science, Machine learning
Thermochemical and electrochemical energy conversion processes, solar driven thermochemical redox cycles for H2 and syngas production, defect chemistry and thermodynamics of nonstoichiometric oxides, solid oxide fuel cells, solid oxide membrane separations, reaction kinetics
Complexity theory; geometric modeling and constraint solving; algorithms and discrete modeling.
Professor Spearot received his Ph.D. in 2005 from the Georgia Institute of Technology. His research interests include: Computational mechanics and materials science (including atomistic simulations and phase-field modeling), behavior of defects in materials, nanostructured materials, linking between atomistic and continuum length scales, and method development for atomistic modeling.
Reconfigurable computing, FPGAs; synthesis, compilers, CAD; architecture; embedded systems
I am an Associate Professor in the Department of Computer and Information Science and Engineering (CISE) at the University of Florida. My research focuses on the security of mobile systems, with a concentration on telecommunications infrastructure and mobile devices. My research has uncovered critical vulnerabilities in cellular networks, made the first characterization of mobile malware in provider networks and offers a robust approach to detecting and combatting Caller-ID scams.…