Seongmin Heo (허성민)

Assistant Professor

Education
    • Ph.D. University of Minnesota, 2015
    • B.S. Seoul National University, 2009
Research Interests
  • Process modeling and simulation, Process control, Optimization, Machine learning
Selected Publications 
  • “A hybrid modeling framework for efficient development of Fischer-Tropsch kinetic models, Journal of Industrial and Engineering Chemistry, 2023    
  • “An iterative constrained least squares method for continuous piecewise linear approximation, Computers & Chemical Engineering, 2022
  • “Sustainability analysis framework based on global market dynamics: A carbon capture and utilization industry case, Renewable & Sustainable Energy Reviews, 2022 
  • “Kinetic modeling of diesel autothermal reforming for fuel cell auxiliary power units, Chemical Engineering Journal, 2021