Applied AI and data analytics,Networks and communications,Resource management,National Security,Public policy
Fluid mechanics, combustion, fluid diagnostics, aircraft design.
Interfacial phenomena in
engineering, biomedical systems.
Wireless communications, adaptive modulation and coding, multicast
signaling, multimedia transmission over wireless channels, channel-quality
estimation,
and spread-spectrum communications.
Applied AI and data analytics,Internet of Things,Bioinformatics
Sheng is a hurricane expert working with Florida counties in flood zone preparation. He uses hurricane wind forecasts
and data to study and predict storm surge, waves and coastal flooding during hurricanes.
Microelectromechanical systems, experimental fluid dynamics and acoustics.
Fluid-structure interaction, structure-induced sediment scour, eolian
sand transport.
Ocean waves, nearshore waves, wave-sediment interaction.
Heat and mass transfer, thermodynamics, thermal systems design and optimization, refrigeration and cryogenics, HVAC.
Watershed hydrology, field and watershed scales effects on BMPs, water quantity/quality monitoring, hydrologic modeling, irrigation and drainage.
Colloid and interfacial chemistry, powder processing, surface
chemical modification, thin films, polymers and ceramics, rapid
prototyping.
Foundational AI,Applied AI and data analytics,Neuroengineering,Personalized learning,Lifelong workforce development,Experiential learning
Denise Rutledge Simmons, Ph.D., F. ASEE, PE, PMP, LEED-AP, is a civil engineer, civil engineering researcher, Professor in the Department of Civil & Coastal Engineering, and the Associate Dean for Workforce Development in the Herbert Wertheim College of Engineering at the University of Florida. She earned her B.S. (1990), M.S. (1995), and Ph.D. (2012) in Civil Engineering from Clemson University.…
Complexity theory; geometric modeling and constraint solving; algorithms and discrete modeling.
Foundational AI,Automated construction,Space,Materials Under Extreme Environments,Soft matter/biomaterials/tissue engineering,Bioinformatics
Coastal engineering; wave, current, and sediment transport modeling;
storm surge, hurricanes, internal waves, turbulent mixing, numerical
simulation, beach erosion and protection, navigation in waterways,
fluid dynamics.
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.
Applied AI and data analytics,National Security,Materials Under Extreme Environments,Soft matter/biomaterials/tissue engineering,Experiential learning
Structural design of buildings, cold-formed steel, professional
practice of engineering.
Transportation planning and policy evaluation, activity-based approaches for travel-demand modeling and forecasting, travel impacts of new Information and communication technologies.
Dr. Subgranon’s research involves the general area of structural engineering with emphasis on performance-based design, structural optimization, natural-hazard mitigation, and multicriteria decision analysis. She aims to expand her research efforts to areas that contribute to the resilience and sustainability of the built environment, such as life-cycle engineering, post-hazard recovery, and data-informed optimal design and maintenance of infrastructure systems.
Applied AI and data analytics,Energy,Materials Under Extreme Environments,Soft matter/biomaterials/tissue engineering,Lifelong workforce development,Building a culture of inclusion and innovation
Primary Research Area: Artificial Intelligence and Machine Learning Systems
Research Areas: Edge AI Systems, Efficient AI, Trustworthy AI
Research Interests: Efficient Edge AI Systems, Collaborative Intelligence Systems, Reliable AI, and Personalized AI.
Publications: Publications can be found on my website or Google Scholar.…
Foundational AI,Soft matter/biomaterials/tissue engineering,Immunological engineering,Neuroengineering,Personalized medicine,Health care operations and manufacturing,Regenerative Medicine,Personalized learning,Lifelong workforce development,Experiential learning
Dr. Curtis R. Taylor, Ph.D. is an Associate Professor in the Departments of Engineering Education and Mechanical & Aerospace Engineering at the University of Florida (UF). Dr. Taylor seeks to train and inspire the next generation of engineers. He teaches undergraduate and graduate courses in solid mechanics and design. Dr. Taylor’s areas of research encompass two distinct domains: advanced manufacturing, with a focus on elucidating the mechanical properties of novel technological materials such as nanomaterials and smart materials, and engineering education, where he designs educational technologies to implement innovative instructional methods and create and evaluate programs to enhance student outcomes..…
Wave mechanics, coastal hydrodynamics, surf zone processes.
Foundational AI,Applied AI and data analytics,Cybersecurity,Internet of Things,Humans and technology,Personalized learning,Invention faculty track