Research Interests: Advanced human tissue fabrication, 3D laser- and inkjet- based printing, precision machining, intelligent manufacturing.
Experimental mechanics, moiré interferometry, composite materials, micro air vehicles.
Technical Manager, Center for Compressible Multiphase Turbulence
Design optimization, design sensitivity analysis, computational mechanics, computational acoustics, mesh-free method.
Applied AI and data analytics,Sensors
Computer aided design, rapid prototyping, design optimization and finite element methods.
Applied AI and data analytics,Internet of Things
Robust control, uncertainty modeling, aeroservoelasticity, nonlinear limit cycle oscillations, flight test techniques, time-frequency wavelet analysis.
Applied AI and data analytics,Space,Personalized learning,Experiential learning
Micro/nanoscale transport and nanotechnology for energy science and health applications; nanoengineering of functionalized membranes for energy conversion and storage and filtration/separation applications; heat and mass transfer in micro/nanostructures; microfluidic reactor platforms for fundamental energy research and reaction engineering; portable power
Foundational AI,Applied AI and data analytics,Coastal Hazards
Spaceflight dynamics, hypersonic flight mechanics, optimal control, dynamics, numerical methods for trajectory optimization, and navigation
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.
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
Manufacturing, Controls, Machine systems, Off-highway vehicles.
Fluid mechanics, combustion, fluid diagnostics, aircraft design.
Heat and mass transfer, thermodynamics, thermal systems design and optimization, refrigeration and cryogenics, HVAC.
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