Foundational AI,Cybersecurity,Internet of Things,Networks and communications,Sensors,Space,National Security
Structure/property behavior of polymers and composites, sol-gel
processing of nanocomposites, physical aging and long-term
performance of polymers.
Foundational AI,Applied AI and data analytics,Networks and communications,Information storage and processing,Personalized learning,Building a culture of inclusion and innovation
Agricultural machinery systems, robotics, machine vision, neural networks, precision agriculture, instrumentation.
Dynamics of Complex Fluids, Suspension and Multiphase Fluid Mechanics, Polymer Dynamics and Rheology
Applied AI and data analytics,Cybersecurity,Internet of Things,Networks and communications,Information storage and processing,Humans and technology,Sensors,Space,National Security,Assured Autonomy,Lifelong workforce development,Building a culture of inclusion and innovation,Diverse talent pipeline
James Cahill is a lecturer and independent PI in Environmental Engineering Sciences. He received his Ph.D. in Ecology and Evolutionary Biology from the University of California, Santa Cruz in 2016. He was a postdoctoral researcher at Rockefeller University from 2017-2020. He has expertise in Population Genomics, Comparative Genomics and Bioinformatics. His research focuses on applying genomic techniques to immediate challenges in species conservation, environmental monitoring and human health.…
Fluid mechanics, experimental methods, shock wave/boundary layer interactions, pressure and temperature sensitive coatings, low Reynolds number aerodynamics, application of MEMS, aero-optics
Applied AI and data analytics,Humans and technology,Personalized learning,Lifelong workforce development,Building a culture of inclusion and innovation,Experiential learning,Diverse talent pipeline
Applied AI and data analytics,Cybersecurity,Internet of Things,Networks and communications,Humans and technology,Sensors,Semiconductor,Energy,Neuroengineering,eHealth and mobile health,Personalized medicine,Bioinformatics,Personalized learning,Lifelong workforce development,Building a culture of inclusion and innovation
Network security, intrusion detection, quality of service, policy-based network management, wireless ad-hoc networks.
Nano / micro mechanics / materials, atomistic / continuum modeling and simulations, biomechanics / biomaterials
Transport phenomena with drops and bubbles, direct numerical simulation of heated flow instability and transition, microgravity boiling, space cryogenic fluid transport and storage, microscale heat transfer, biomedical engineering.
Structural analysis, vehicle impact simulation, heat and mass
transport in concrete, bridge engineering, 3-D Visualization,
numerical methods.
Light and gravity effects on plant growth and development, plant-space
biology, gene
expression patterns in roots and plant bioreactors.
Applied AI and data analytics,Space,Lifelong workforce development,Building a culture of inclusion and innovation,Experiential learning
Applied AI and data analytics,Humans and technology,Sensors,eHealth and mobile health,Personalized medicine,Lifelong workforce development,Building a culture of inclusion and innovation
Foundational AI,Applied AI and data analytics,Humans and technology,Personalized learning,Lifelong workforce development,Building a culture of inclusion and innovation,Experiential learning,Diverse talent pipeline
Engineering and numerical analysis, reactor analysis, computer
graphics.
Luisa Amelia Dempere received her Ph.D. in Materials Science from the University of Florida. After receiving her doctorate, she was appointed as the Director of the Major Analytical Instrumentation Center (MAIC). She has been the director of MAIC for the last 14 years, and in 2012 she became also the director of the Particle Analysis Instrumentation Center (PAIC).…
Advanced space power and propulsion reactor systems, energy
conversion, advanced terrestrial nuclear power reactors, reactor
operations and safety.
Cellular and molecular bioengineering, biomolecular cell mechanics, mathematical biology.
Neural mechanisms of perception and motor behavior (using both experimental and modeling approaches), neuronal oscillations and attentional control, information processing in the brain, development of advanced signal processing methods for the analysis of nonstationary, multivariate neurobiological data, mathematical analysis of oscillatory neural networks, behavior and brain analysis of sensorimotor coordination, first passage time problems in stochastic processes, theory of nonlinear dynamical systems
Adaptive nonlinear control, robotics, human-machine interactions, biomedical, visual servo control
Foundational AI,Applied AI and data analytics,Cybersecurity,Internet of Things,Networks and communications,Humans and technology,Automated construction,Transportation,Space,National Security,Neuroengineering,Assured Autonomy,Personalized learning,Lifelong workforce development,Building a culture of inclusion and innovation