• Associate Professor, Chemical Engineering
  • Kenneth R. Hall Career Development Professor
Joseph Sang Il Kwon

Educational Background

  • Ph.D., Chemical Engineering, University of California, Los Angeles – 2015
  • M.S., Electrical Engineering, University of Pennsylvania – 2011
  • B.S., Chemical Engineering, University of Minnesota, Twin Cities – 2009
  • B.S., Mathematics, University of Minnesota, Twin Cities – 2009

Research Interests

  • Methodology development:

    • Multiscale modeling
    • Digital twin
    • Hybrid modeling (machine learning + first principles)
    • Sparse model identification
    • Fault prognosis
    • Systems biology
    • Kinetic Monte Carlo simulation

    Applications:

    • Pulp and paper industry (pulping, pretreatment, fractionation)
    • Oil and gas industry (hydraulic fracturing, flowback and produced water management, FPSO)
    • Electrochemical industry (Li-ion battery, quantum dots)
    • Food and pharmaceutical industry (crystallization, multivalent binding, biofermentation, cell signal pathway)

Awards & Honors

  • 2021 Hanwha Non-Tenure Faculty Award
  • 2020 Engineering Genesis Award for Multidisciplinary Research (PI: Dr. El-Halwagi), TAMU
  • 2020 Engineering Genesis Award for Multidisciplinary Research (PI: Dr. Akbulut), TAMU
  • 2020 Young Investigator Grant, Korean-American Scientists and Engineers Association (KSEA)
  • 2020 TEES Young Faculty Fellow Award, TAMU
  • 2019 Distinguished Teaching Award, Chemical Engineering, TAMU
  • 2019 President Young Investigator Grant, Korean Institute of Chemical Engineers (KIChE)

Selected Publications

  • A. Narasingam and J. S. Kwon, "Development of local dynamic mode decomposition with control: Application to model predictive control of hydraulic fracturing,'' Comp. & Chem. Eng., 106, 501-511, 2017.
  • P. Siddhamshetty and J. S. Kwon, "Modeling of hydraulic fracturing and design of online optimal pumping schedule to achieve uniform proppant concentration,'' Comp. & Chem. Eng., in press (A Special Issue dedicated to FOCAPO/CPC 2017).
  • A. Narasingam and J. S. Kwon, "Temporal clustering for order reduction of nonlinear parabolic PDE systems with time-dependent spatial domains: Application to a hydraulic fracturing process,'' AIChE J., 63, 3818-3831, 2017.
  • P. Siddhamshetty, S. Liu, P. Valko, J. S. Kwon, "Feedback control of proppant bank heights during hydraulic fracturing for enhanced productivity in shale formations,'' AIChE J., submitted.
  • S. Yang, P. Siddhamshetty and J. S. Kwon, "Optimal pumping schedule design to achieve a uniform proppant concentration level in hydraulic fracturing,'' Comp. & Chem. Eng., 101, 138-147, 2017.