Professor Trainham’s research interests are in renewable energy. Before joining UF, Trainham spent most of his professional career in industry: four years as chief technology officer JDC Phosphate, four years as vice president, distinguished fellow and director of the Research Triangle Solar Fuels Institute at RTI International, senior vice president of Sundrop Fuels (a solar fuel company), served as global vice president of Science and Technology at PPG Industries, and had a 25-year career at the DuPont Company.…
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.…
Nuclear fuel cycle, radioactive wastes, reactor analysis, engineering application of radioisotopes, robotics, intelligent databases, system analysis.
Fluid dynamics, turbulence, low-order modeling and aeroacoustics.
Applied AI and data analytics,Transportation,National Security,Diverse talent pipeline
Algorithms, computational geometry, mesh generation, scientific computing, and computational biology.
His research and teaching interests are in the areas of stochastic optimization, risk management, financial engineering and military operations research.
Physical oceanography, observations and numerical modeling of estuarine and coastal hydrodynamic processes, estuary-ocean exchange, competition between buoyancy and mixing.
Foundational AI,Internet of Things,Personalized learning,Lifelong workforce development,Experiential learning
Influence of microdomains on diffusion in biomembranes, transport in porous materials with hierarchy of pore sizes, transport-optimized catalysis and separations.
Medical imaging, computer vision & image processing, computer graphics and visualization, statistical learning and applied mathematics.
Foundational AI
Traffic flow theory, traffic operations, video imaging analysis,
econometric methods, simulation modeling and development, geometric
design.
Applied AI and data analytics,Internet of Things,Sensors,Transportation,Energy,Lifelong workforce development
