About Me
- Senior Research Scientist at NextEra Analytics
- Pursuing MS in Computer Science–Machine Learning from Georgia Institute of Technology
- Former Research Faculty at Florida State University Center for Advanced Power Systems
- Received PhD in Mechanical Engineering from Florida State University and BS in Electrical Engineering / minor in Physics from Dordt University
News
- 09/2022 NEW JOB: I’ve joined NextEra Analytics in St. Paul, MN as Senior Research Scientist!
- 05/2022 PAPER: Check out our latest paper entitled multi-fidelity power flow solver submitted to IEEE ResWeek 2022. Paper
- 02/2022 PAPER: Check out my recent paper entitled solar-driven liquid air power plant modeling, design space exploration, and multi-objective optimization published in Energy. Paper
- 01/2022 PAPER: Check out our paper on thermal modeling and simulation of electronics published in SAGE Simulation. Paper
- 10/2021 PATENT: Check out our patent entitled Solar energy collection system with symmetric wavy absorber pipe. Patent
- 07/2021 PATENT: Check out our patent entitled Integrated thermal-electrical component for power electronics converters. Patent
- 06/2021 GRANT: My joint proposal with INL entitled Interdependent Infrastructure Systems Resilience Analysis for Enhanced Microreactor Power Grid Penetration was selected for $1.5M Laboratory Directed Research and Development (LDRD) award from the U.S. Department of Energy! This will be a 3-year project starting in October 2021.
- 05/2021 STUDENT: Jessica Moorefield (FSU, major in CS & English) has successufully finished her UROP. Her work on physics-informed neural networks will be published soon.
Read more!
* 03/2021 **PAPER**: Our work on superconducting system thermal-hydraulic modeling has been published in IEEE Transactions on Applied Superconductivity. [Paper](https://ieeexplore.ieee.org/abstract/document/9390217) * 01/2020 **PAPER**: My collaboration wtih Seoul National University on geothermal heat pump modeling has been published in Elsevier's Sustainable Energy Technologies and Assessments. [Paper](https://www.sciencedirect.com/science/article/pii/S2213138819304849) * 01/2020 **GRANT**: My joint proposal with INL entitled *Smart Contingency Analysis Neural Network (SCANN) for In-Depth Power Grid Vulnerability Analyses* was selected for $140k Laboratory Directed Research and Development (LDRD) award from the U.S. Department of Energy! This will be a 1-year project starting in April 2020.Research Interests
I am interested in tackling multi-disciplinary physics problems and bridging the gap between artificial intelligence, classical thermal-fluids, and renewable energy.
Below is a short list of my research projects in alphabetical order.
Building Science
Support: Actively seeking
Collaborator: Actively seeking
- Propose concrete strategies to promote smart energy/exergy-efficient buildings
- Modeling, simulation, and optimization of HVAC systems, building orientation, usage, etc.
Papers: Building simulation, Constructal design, Geothermal HVAC, HVAC optimization
Design Space Exploration
Support: Actively seeking
Collaborator: Actively seeking
- Topology optimization using finite element models and stochastic optimization algorithms
- Sensitivity analysis of complex energy systems
Papers: Cooling channel layout optimization, Solenoid optimization
Integrated Electronics Cooling
Role: Research Scientist
Support: ONR
Collaborator: FSU, VT, MIT, USC
- Propose novel passive / active integrated electronics cooling solutions
- Develop set-based thermal design framework for high-power next generation PEBBs
Papers: PEBB cooling survey, PEBB simulation, Patent under review
Machine Learning in Power Grid Contingency Analyses
Role: Principal Investigator
Support: US DOE
Collaborator: INL
- Development of a zero shot, deep learning-based contingency analysis framework for power grid contingency analyses
- Development of a novel contigency metric for large power grids
Paper: Machine learning in power grid analyses, Multi-fidelity power flow solver
Machine Learning in Thermal-Fluid Science
Role: Principal Investigator
Support: FSU
Collaborator: Actively seeking
- Develop multi-fidelity (MF) models for thermal management of PEBBs, buildings, etc.
- MF models are constructed by combining data-driven (or high-fidelity) and low-fidelity models using Gaussian Process or Polynomial Chaos Expansion
- Use HPC for high-fidelity simulations and sampling
- Super-resolution reconstruction of flow fields using neural networks
- Physics-informed neural networks
Real-Time Thermal-Electrical Co-Simulations
Role:: Research Scientist
Support: ONR/ESO/SBIR
Collaborator: FSU, Michigan
- Develop soft real-time thermal-fluid models in MATLAB/Simulink and couple them to power system models in RSCAD for real-time co-simulations
- Integration of reduced-order battery models for real-time energy storage modeling
Paper: Real-time system-level simulation
Renewable Energy
Support: Actively seeking
Collaborator: Actively seeking
- Develop mathematical models of parabolic trough solar collectors, flat-plate collectors, geothermal HVAC system, solar distillation system, etc.
- Investigate novel heat transfer fluids and receiver designs for solar collectors
- Comparative assessment of distributed vs. centralized renewable energy systems
Papers:
PTC model, PTC wavy design, Solar HTF, Transparent insulation materials, Biohydrogen, Photobioreactor, Patent under review
Thermal Management of Shipboard Energy Systems
Role:: Research Scientist
Support: ONR
Collaborator: MIT
- Development of a dynamic system-level ship thermal management tool
- Improve its numerical efficiency and accuracy, and develop parametric hexahedral mesh generation strategies and cooling network generation algorithm for various ship hulls
Papers:
Electromagnetic launcher model, Ship mesh, Ship thermal model, Shipboard integrated energy system
Collaborators