Bio


Seogi Kang is a Research Scientist in the the Department of Geophysics at Stanford. His current research focuses on developing an effective workflow to image subsurface hydrostratigraphy at Central Valley of California using airborne electromagnetic method. Seogi is a core contributor to SimPEG, an open source software project for geophysical simulation and inversions.

Academic Appointments


Honors & Awards


  • Best student oral presentation (Minerals), ASEG-PESA (02/2015)
  • Outstanding Student Paper Award (Nearsurface Geophysics), American Geophysical Union (02/2015)
  • IDEA Innovation Award 2015: "Open source geophysics project, SimpEG", UBC library (02/2016)

Current Research and Scholarly Interests


To construct basis of groundwater sustainability plan in California, we develop an effective workflow that can map 3D hydrogeology of the subsurface by using airborne electromagnetic data that can cover large area fast.

All Publications


  • Isolating the Poroelastic Response of the Groundwater System in InSAR Data From the Central Valley of California GEOPHYSICAL RESEARCH LETTERS Kang, S., Knight, R. 2023; 50 (9)
  • Airborne geophysical method images fast paths for managed recharge of California's groundwater ENVIRONMENTAL RESEARCH LETTERS Knight, R., Steklova, K., Miltenberger, A., Kang, S., Goebel, M., Fogg, G. 2022; 17 (12)
  • Improved Imaging of the Large-Scale Structure of a Groundwater System With Airborne Electromagnetic Data WATER RESOURCES RESEARCH Kang, S., Knight, R., Goebel, M. 2022; 58 (4)
  • Managed aquifer recharge site assessment with electromagnetic imaging: Identification of recharge flow paths VADOSE ZONE JOURNAL Pepin, K., Knight, R., Goebel-Szenher, M., Kang, S. 2022

    View details for DOI 10.1002/vzj2.20192

    View details for Web of Science ID 000765256000001

  • Enhancing the resolving ability of electrical resistivity tomography for imaging saltwater intrusion through improvements in inversion methods: A laboratory and numerical study GEOPHYSICS Goebel, M., Knight, R., Kang, S. 2021; 86 (5): WB101-WB115
  • The effect of power lines on time-domain airborne electromagnetic data GEOPHYSICS Kang, S., Dewar, N., Knight, R. 2021; 86 (2): E123-E141
  • Time domain electromagnetic-induced polarisation: extracting more induced polarisation information from grounded source time domain electromagnetic data GEOPHYSICAL PROSPECTING Kang, S., Oldenburg, D. W. 2018; 66: 74–86
  • Inversion of airborne geophysics over the DO-27/DO-18 kimberlites - Part 3: Induced polarization INTERPRETATION-A JOURNAL OF SUBSURFACE CHARACTERIZATION Kang, S., Fournier, D., Oldenburg, D. W. 2017; 5 (3): T327–T340
  • On recovering distributed IP information from inductive source time domain electromagnetic data GEOPHYSICAL JOURNAL INTERNATIONAL Kang, S., Oldenburg, D. W. 2016; 207 (1): 174–96

    View details for DOI 10.1093/gji/ggw256

    View details for Web of Science ID 000384651200013

  • SIMPEG: An open source framework for simulation and gradient based parameter estimation in geophysical applications COMPUTERS & GEOSCIENCES Cockett, R., Kang, S., Heagy, L. J., Pidlisecky, A., Oldenburg, D. W. 2015; 85: 142–54
  • A feasibility study of CO2 sequestration monitoring using the mCSEM method at a deep brine aquifer in a shallow sea GEOPHYSICS Kang, S., Seol, S., Byun, J. 2012; 77 (2): E117–E126
  • 3D modeling of deep borehole electromagnetic measurements with energized casing source for fracture mapping at the Utah Frontier Observatory for Research in Geothermal Energy GEOPHYSICAL PROSPECTING Um, E., Alumbaugh, D., Capriotti, J., Wilt, M., Nichols, E., Li, Y., Kang, S., Osato, K. 2024
  • Exploring the InSAR signature associated with river-sourced recharge in California's San Joaquin Valley ENVIRONMENTAL RESEARCH LETTERS Neely, W. R., Knight, R., Kang, S., Goebel, M. 2024; 19 (7)
  • The contraction of freshwater lenses in barrier island: A combined geophysical and numerical analysis JOURNAL OF HYDROLOGY Panthi, J., Boving, T. B., Pradhanang, S. M., Russoniello, C. J., Kang, S. 2024; 637
  • Exploring the Model Space of Airborne Electromagnetic Data to Delineate Large-Scale Structure and Heterogeneity Within an Aquifer System WATER RESOURCES RESEARCH Kang, S., Knight, R., Greene, T., Buck, C., Fogg, G. 2021; 57 (10)
  • Distribution of Vapor and Condensate in a Hydrothermal System: Insights From Self-Potential Inversion at Mount Tongariro, New Zealand GEOPHYSICAL RESEARCH LETTERS Miller, C. A., Kang, S. G., Fournier, D., Hill, G. 2018; 45 (16): 8190–98
  • A framework for simulation and inversion in electromagnetics COMPUTERS & GEOSCIENCES Heagy, L. J., Cockett, R., Kang, S., Rosenkjaer, G. K., Oldenburg, D. W. 2017; 107: 1–19
  • Inversion of airborne geophysics over the DO-27/DO-18 kimberlites - Part 2: Electromagnetics INTERPRETATION-A JOURNAL OF SUBSURFACE CHARACTERIZATION Fournier, D., Kang, S., McMillan, M. S., Oldenburg, D. W. 2017; 5 (3): T313–T325
  • mCSEM inversion for CO2 sequestration monitoring at a deep brine aquifer in a shallow sea EXPLORATION GEOPHYSICS Kang, S., Noh, K., Seol, S., Byun, J. 2015; 46 (3): 236–52

    View details for DOI 10.1071/EG14096

    View details for Web of Science ID 000360648400002

  • Pitfalls of 1D inversion of small-loop electromagnetic data for detecting man-made objects JOURNAL OF APPLIED GEOPHYSICS Kang, S., Seol, S., Chung, Y., Kwon, H. 2013; 90: 96–109