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.
Dr. Kyle Allen is an Associate Professor, Associate Chair for Undergraduate Studies and the J. Crayton Pruitt Family Term Fellow.
Design, fabrication, and characterization of magnetic and electromechanical microsensors/microactuators and miniaturized power and energy systems.
Teaching Interests: Computational fluid science (aka CFD), Large scale simulation of complex flows, transition and turbulence, multiphase flows, environmental flows
Computational Neuroscience, Machine Learning, Artificial Intelligence, Applied Mathematics
Professor Banks has been active in orthopaedic and joint mechanics research his entire career. He is a member of several professional societies including ASME, the Knee Society, the American Society for Biomechanics and the Orthopaedic Research Society. Professor Banks served as President and annual conference host for the International Society for Technology in Arthroplasty in 2013, and remains a member of the Board of Directors.…
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.…
James Cahill is a lecturer and independent PI in Environmental Engineering Sciences. He received his Ph.D. in Ecology and Evolutionary Biology from the University of California, Santa Cruz in 2016. He was a postdoctoral researcher at Rockefeller University from 2017-2020. He has expertise in Population Genomics, Comparative Genomics and Bioinformatics. His research focuses on applying genomic techniques to immediate challenges in species conservation, environmental monitoring and human health.
Fluid mechanics, experimental methods, shock wave/boundary layer interactions, pressure and temperature sensitive coatings, low Reynolds number aerodynamics, application of MEMS, aero-optics
Light and gravity effects on plant growth and development, plant-space
biology, gene
expression patterns in roots and plant bioreactors.
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
Adaptive nonlinear control, robotics, human-machine interactions, biomedical, visual servo control
Databases, Data-mining, Machine Learning, Approximate Query Processing, Randomized Algorithms, Classification and Regression.
Traffic operations, signal control optimization, highway capacity analysis, and traffic simulation.
Assistant Professor of Nuclear Engineering at the University of Florida (Current focus is to build a nuclear detection lab with accompanying research in neutron detection, fission physics and detector system development. Research areas include: neutronics in deuterated environments, Deuterium based recoil detectors, correlated fission neutron investigations.)
Research interests: Image and Signal Processing, Medical Imaging, Computational Mathematics, Machine Learning, Graphics and Visualization
Computer architecture, network computing, distributed systems.
Network-computing, advanced computing architecture, biologically-inspired nanocomputing, distributed information processing systems.
Agroclimatology, crop growth modeling, precision agriculture technology, irrigation and
geographic information system (GIS) based decision support 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.
Professor and Department Chair of Computer & Information Science & Engineering