Professor Fan joined UF in 2003. His research focus is to develop microfluidics and BioMEMS technologies and apply them to biomedical applications. Microfluidics involves device fabrication and manufacturing, study of fluid behavior in micro-scale, and exploiting the devices for a variety of applications including point-of-care testing, environmental monitoring, and detection of pathogens in the field.
Foundational AI,Applied AI and data analytics,Humans and technology,Neuroengineering,Personalized medicine,Bioinformatics
Foundational AI,Applied AI and data analytics,Humans and technology,Neuroengineering,Personalized medicine,Bioinformatics
Christopher Ferraro specializes in the development sustainable, high-performance cement-based materials & carbon-dioxide produced as part of the construction involving portland cement concrete. The concrete materials research group conducts research on a wide variety issues and include efforts across cross disciplinary research efforts within civil engineering as well other departments including; Environmental, Materials, Industrial and Mechanical Engineering.
Dynamics and control of multi-body systems, game theory, orbital dynamics, flight mechanics.
Applied AI and data analytics,Cybersecurity,Semiconductor,Diverse talent pipeline
Network-computing, advanced computing architecture, biologically-inspired nanocomputing, distributed information processing systems.
Semiconductor device theory, modeling, simulation; scaled CMOS
integrated circuits and devices, including SOI and DG MOSFETs.
Agroclimatology, crop growth modeling, precision agriculture technology, irrigation and
geographic information system (GIS) based decision support systems.
Applied AI and data analytics,Resource management
Foundational AI,Cybersecurity,National Security,Assured Autonomy
Molecular beam epitaxy of materials, wide bandgap semiconductor materials, materials characterization, gate dielectrics, high-power/high-temperature device fabrication and testing.
The Andrew Banks Family Preeminence Endowed Professor
Applied AI and data analytics,Humans and technology,Personalized learning,Lifelong workforce development,Building a culture of inclusion and innovation,Invention faculty track,Diverse talent pipeline,Public policy
