As the artificial intelligence and machine learning revolution permeates every aspect of our lives, materials science and engineering is no exception. In fact, at the University of Florida, we are both developing and applying AI/ML tools for the design, fabrication, and characterization of advanced materials with optimized performance. Whether by developing and implementing high throughput genetic algorithms, deep neural networks for structure-property relationship identification and analysis, or image segmentation and generative models for microscopy, we are leading the AI/ML revolution in materials. Examples of our current projects are presented below.
Ph. D., 2002, The Pennsylvania State University
Research Interests: Multifunctional ceramics; energy materials; dielectrics and ionic conductors in bulk and thin film; single crystal growth; nuclear materials and detectors; bioceramics
Lab Website: Nino Research Group (NRG)
Ph.D., 2010, Penn State University
Research Interests: Reactor Kinetics and Dynamics, Neutronics, Thermal Hydraulics, Multiphysics Simulation, Advanced Numerical Methods, Applied Mathematics, Advanced Code Coupling Techniques, Scientific Software Development, High Performance Computing