Applied AI and data analytics,Networks and communications,Resource management,National Security,Public policy
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
Foundational AI,Applied AI and data analytics,Neuroengineering,Personalized learning,Lifelong workforce development,Experiential learning
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
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
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
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
Foundational AI,Applied AI and data analytics,Cybersecurity,Internet of Things,Humans and technology,Personalized learning,Invention faculty track
Applied AI and data analytics,Semiconductor,Energy,Space,Materials Under Extreme Environments,Lifelong workforce development,Building a culture of inclusion and innovation,Experiential learning
I am a 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.…
Fluid dynamics, turbulence, low-order modeling and aeroacoustics.
Applied AI and data analytics,Transportation,National Security,Diverse talent pipeline
Foundational AI,Internet of Things,Personalized learning,Lifelong workforce development,Experiential learning
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
Wireless communications, spread spectrum systems, multiuser
communications, adaptive signal processing.
Applied AI and data analytics,Internet of Things,Networks and communications
Foundational AI,Applied AI and data analytics,National Security
Applied AI and data analytics,Transportation,Public policy
Foundational AI,Transportation,Energy,Personalized learning
Foundational AI,Applied AI and data analytics,Internet of Things,Coastal Hazards
Foundational AI,Applied AI and data analytics,Hazards engineering,Transportation,Coastal Hazards,National Security,Building a culture of inclusion and innovation,Public policy