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)

Contact

  • Academic
    sgkang09@stanford.edu
    University - Academic staff Department: Department of Geophysics - Geophysics Position: Physical Sci Res Scientist

Additional Info

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)

    View details for DOI 10.1029/2023GL103222

    View details for Web of Science ID 000999835700001

  • 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)

    View details for DOI 10.1088/1748-9326/aca344

    View details for Web of Science ID 000912079600001

  • 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)

    View details for DOI 10.1029/2021WR031439

    View details for Web of Science ID 000781886400001

  • 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

    View details for DOI 10.1190/GEO2020-0588.1

    View details for Web of Science ID 000711980200063

  • The effect of power lines on time-domain airborne electromagnetic data GEOPHYSICS Kang, S., Dewar, N., Knight, R. 2021; 86 (2): E123-E141

    View details for DOI 10.1190/GEO2020-0089.1

    View details for Web of Science ID 000663815900008

  • 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

    View details for DOI 10.1111/1365-2478.12600

    View details for Web of Science ID 000428406000005

  • 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

    View details for DOI 10.1190/INT-2016-0141.1

    View details for Web of Science ID 000409910400010

  • 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

    View details for DOI 10.1016/j.cageo.2015.09.015

    View details for Web of Science ID 000365051100015

  • 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

    View details for DOI 10.1190/GEO2011-0089.1

    View details for Web of Science ID 000302192800011

  • 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

    View details for DOI 10.1111/1365-2478.13579

    View details for Web of Science ID 001285602700001

  • 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)

    View details for DOI 10.1088/1748-9326/ad5855

    View details for Web of Science ID 001268629600001

  • 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

    View details for DOI 10.1016/j.jhydrol.2024.131371

    View details for Web of Science ID 001246244300001

  • 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)

    View details for DOI 10.1029/2021WR029699

    View details for Web of Science ID 000711970600020

  • 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

    View details for DOI 10.1029/2018GL078780

    View details for Web of Science ID 000445612500036

  • 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

    View details for DOI 10.1016/j.cageo.2017.06.018

    View details for Web of Science ID 000411418600002

  • 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

    View details for DOI 10.1190/INT-2016-0140.1

    View details for Web of Science ID 000409910400009

  • 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

    View details for DOI 10.1016/j.jappgeo.2013.01.003

    View details for Web of Science ID 000316167700010

https://orcid.org/0000-0002-9963-936X