Research Expertise and Interest
mechanical engineering, use of machine learning to develop high performance energy conversion and thermal management technologies, micro-to-nanoscale modeling of the thermophysics of multiphase systems, waste plastic transport in environmental watersheds, waste plastic recycling.
Research Description
Professor Carey’s current research interests include:
- Use of machine learning to develop more efficient and sustainable energy conversion and thermal management technologies
- Macro-to-nanoscale modeling of the thermophysics and transport in multiphase systems
- Waste plastic transport in environmental watersheds
- Development of hybrid thermionic/thermoelectric energy conversion technologies
His current research projects are:
- Defining Optimized Nanostructured Surface Morphologies for Enhanced Boiling Surfaces
- Optimal Strategies for Using Convolution Neural Network Model Analysis for Combined Image and Digital Data Analysis of Vaporization Processes
- Use of Machine Learning to Enhance Snow Survey Assessment of Sierra Water Resources
- Experimental and Machine Learning Characterization of Carbon Dioxide Deposition and Blockage in Relief Headers
- Flame Spread Along Insulated Electrical Wires for Terrestrial and Space Applications
- Computational Modeling of Thermionic Energy Conversion for Nuclear Electric Propulsion
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