• Assistant Professor
Joseph Sang Il Kwon

Educational Background

  • Ph.D., University of California, Los Angeles, 2015
  • M.S., University of Pennsylvania, 2011
  • B.S., University of Minnesota, 2009

Research Interests

    • Modeling, simulation, and control of multiscale processes which are characterized by highly coupled phenomena occurring at disparate spatial and temporal scales
    • Crystallization
    • Chemical vapor deposition
    • Hydraulic fracturing processes 

Awards & Honors

  • 2020 KSEA Young Investigator Grant
  • TEES Young Faculty Fellow Award, 2020
  • The Artie McFerrin Department of Chemical Engineering Distinguished Teaching Award 2019
  • Korean Institute of Chemical Engineers (KIChE) President Young Investigator Grant 2019

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 enahnced 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.