Applied AI and data analytics,Cybersecurity,Internet of Things,Sensors,Transportation,National Security,Health care operations and manufacturing,Building a culture of inclusion and innovation,Experiential learning
Medical image analysis: registration, segmentation and visualization of biomedical images, medical image processing: reconstruction algorithms for emission and transmission tomography, neural networks: supervised and unsupervised learning algorithms, computer vision: shape analysis.
Large-scale software systems, parallel and distributed computing, CRM, data mining, optimization and biomedical computing.
Spaceflight dynamics, hypersonic flight mechanics, optimal control, dynamics, numerical methods for trajectory optimization, and navigation
Dr. Taylor Rawlinson is an Associate Engineer in the Department of Civil and Coastal Engineering at the University of Florida. His current role coordinates and supports funded research in civil engineering, with projects in Materials, Construction, Structural, Geotechnical, and Environmental Engineering primarily in the Weil Hall Structures and Materials Laboratory at the University of Florida. …
Foundational AI,Applied AI and data analytics,Cybersecurity,Transportation
Applied AI and data analytics,Humans and technology,Sensors,Soft matter/biomaterials/tissue engineering,Experiential learning
Teaching and research in the area of materials and construction.
Applied AI and data analytics,Soft matter/biomaterials/tissue engineering,Immunological engineering
Computer vision, pattern recognition, artificial neural networks, applied mathematics.
Highway materials, pavement response, design and evaluation, non-destructive testing of
pavements, geotechnical engineering.
Active flow control, magnetogasdynamics, plasma science, electric propulsion, and micro/nanoscale flows. Computational fluid dynamics and heat transfer. Applied mechanics, finite element/ difference/volume methods. External/internal flow.
Foundational AI,Applied AI and data analytics,Humans and technology,Personalized learning,Building a culture of inclusion and innovation,Experiential learning
Research assistant professor of industrial and systems engineering at the University of Florida. His research and teaching interests lie in combinatorial and stochastic optimization, machine learning, networks and systems analytics.
Data structures, design and analysis of algorithms, cache optimized algorithms, parallel and distributed computing, high performance computing, packet routing and classification, mobile computing interconnection networks, VLSI, CAD, medical algorithms.
Formal methods, software specification and verification, parallel and distributed systems, object-oriented programming.
Composite materials and structures, impact-fracture- and micro-mechanics, textile composites, sandwich construction, functionally graded materials, thermal structures.
Soft tissue biomechanics, physiologic fluid flow, and macromolecular drug delivery.
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
Water resources engineering; hydraulic transportation and conveyance design; beneficial management of reclaimed water and nutrients; water and nutrient utilization by crops; non-linear model development and analysis.
Manufacturing, Controls, Machine systems, Off-highway vehicles.
Robotics, machine intelligence, autonomous mobile agents, embedded systems, digital design, controls.
Applied AI and data analytics,Sensors