Education

• Ph.D. candidate (2021~) Korea University

Research Advisor: Prof. Seongryong Kim

• M.Sc. Seismology (2020) Pusan National University

Thesis Title: Study on shear wave anisotropy (shear wave splitting) of Pohang area

Research Advisor: Prof. Kwang-Hee Kim

• B.Sc. Geological Sciences (2018) Pusan National University

Thesis Title: Study on micro-seismicity of Pusan area

Publications

• Cho, K., J. Ha, J. Lim, J. Han, S. Kim, and D. Lee (2024), PPSD GAN: PPSD-informed Generative Model for Ambient Seismic Noise Synthesizing, accepted in IEEE Geoscience and Remote Sensing Letters.

• Han, J., J. Han, D. Heo, S. Kim, S. Lee, M.H. Koh, J. Kim, K.B. Kwon, B.S. Ahn, Y. Jeon, K. Jo, Y. Lim, S.-J. Lee, T.-S. Kang, J. Rhie, and U.S. Ahn (2024), Data and early results from temporary seismic arrays for monitoring and investigating magmatic processes beneath Mt. Halla and Ulleung Island volcanoes, South Korea, accepted in Geosciences Journal. https://doi.org/10.1007/s12303-024-0027-z

• Han, J., Dettmer, J., Gosselin, J.M., Gilbert, H., Biegel, K. and Kim, S. (2024). Seismicity near the eastern Denali fault from temporary and long-term seismic recordings, Yukon Geological Survey, p. 37–50.  https://data.geology.gov.yk.ca/Reference/96036#InfoTab

• Han, J., K.J. Seo, S. Kim, D.-H.Sheen, D. Lee, and A.-H. Byun (2023), Research catalog of inland seismicity in the southern Korean Peninsula from 2012 to 2021 using deep learning techniques, Seismological Research Letters, doi: https://doi.org/10.1785/0220230246

• Han, J., Kim, S., Sheen, D. H., Lee, D., Lee, S. J., Yoo, S. H., & Park, D. (2023). Seismic event and phase detection using deep learning for the 2016 Gyeongju earthquake sequence. Geosciences Journal, 27(3), 285-295, doi: https://doi.org/10.1007/s12303-023-0004-y

• Han, J., Seo, W., Kim, H. J., Kim, W. Y., Won, D., Chung, J. I., & Kim, K. H. (2021). Monitoring a short-lived earthquake swarm during April–May 2020 in Haenam, Korea, and its preliminary results. Geosciences Journal, 25, 43-57, doi: https://doi.org/10.1007/s12303-020-0046-3

• Kim, K. H., Seo, W., Han, J., Kwon, J., Kang, S. Y., Ree, J. H., ... & Liu, K. (2020). The 2017 ML 5.4 Pohang earthquake sequence, Korea, recorded by a dense seismic network. Tectonophysics, 774, 228306, doi: https://doi.org/10.1016/j.tecto.2019.228306 

• Yoon, S., Han, J., Won, D., Kang, S. Y., Ryoo, Y. G., & Kim, K. H. (2019). A preliminary study on micro-earthquakes occurred from 2010 to 2017 in Busan, Korea. Journal of the Korean earth science society, 40(3), 272-282, doi: https://doi.org/10.5467/JKESS.2019.40.3.272

In Review & Preparation

• Han, J., S, Kim, D.-H. Sheen (submitted), RPNet: Robust P-wave first-motion polarity determination using deep learning.

Conference Abstracts

International

• Han, J., Seo, K. J., Byun, A. H., Kim, S., Sheen, D. H., & Lee, D. (2024, June) AI-based Framework as a Tool for Comprehensive Earthquake Catalog.  In 2024 AOGS Annual Meeting (SE02-A014).

• Han, J., Seo, K. J., Byun, A. H., Kim, S., Sheen, D. H., & Lee, D. (2023, December) Deep Learning-Based Framework toward Comprehensive Seismic Catalogs: Optimization on the Southern Korean Peninsula.  In AGU Fall Meeting Abstracts (S31G-0418).

• Kim, M., Song, J., Kim, S., Han, J. (2023, December) Multi-Scale Three-Dimensional Tomography from the Upper Mantle to Shallow Crust using Traveltime Data Enhanced by Deep Learning Approach in the Southern Korean Peninsula . In AGU Fall Meeting Abstracts (S23G-0454).

• Han, J. (2023, November) Deep learning-based framework for comprehensive seismic catalog: Case Study on the Southern Korean Peninsula (2012-2021). C-DaPS Annual Sponsor Meeting 2023. Calgary, Alberta, Canada.

• Han, J., Seo, K. J., Byun, A. H., Kim, S., Sheen, D. H., & Lee, D. (2023, May). Preliminary earthquake catalog (2012–2021) of the southern Korean Peninsula by deep learning-based techniques. In EGU General Assembly Conference Abstracts (No. EGU23-11052).

• Chiu, J. M., Kim, K., Chiu, S. C., Kang, S., Seo, W., & Han, J. (2020, May). Imaging of active faults from the temporal and spatial distributions of relocated seismicity induced beneath an EGS site in the Pohang region of southeastern Korea. In EGU General Assembly Conference Abstracts (p. 8228). 

• Kang, S. Y., Kim, K. H., Han, J., Seo, W., & Ree, J. H. (2018, December). Spatiotemporal Variations of the Reactivated Fault Revealed by High-Precision Aftershock Locations of the 15 November 2017 Pohang Earthquake. In AGU Fall Meeting Abstracts (Vol. 2018, pp. S23B-0521). 

• Kim, K. H., Seo, W., Han, J., Kang, S. Y., Ree, J. H., Kang, T. S., ... & Kim, Y. (2018, April). The 15 November 2017, Mw 5.4, Pohang earthquake in Korea: fluid-induced?. In EGU General Assembly Conference Abstracts (p. 5740). 

Academic Awards & Scholarship

• 2024 NRF (National Research Foundation) Ph.D. fellowship  (selected)
  Title: Study on Earthquake Mechanisms in the Korean Peninsula using the Deep Learning and Bayesian Inversion-based Framework 

• 2024 Korea University, Junior Fellow Research Grant 

• 2023 Korea University, student research award
  Title: Seismic event and phase detection using deep learning for the 2016 Gyeongju earthquake sequence

• 2022 Joint Conference of the Geological Science & Technology of Korea, student presentation award
  Title: 한반도 국지 지진 데이터를 활용한 딥러닝 학습모델 구축 및 성능 비교 평가 

• 2021 KSEG Spring Conference, student presentation award
  Title: The application of AI based seismic detection algorithm to temporary seismic network data of Gyeongju earthquake 

Field Work Experience

• 2016-2017 M5.8 Gyeongju earthquake temporal seismic network (~200 stations)

• 2017-2020 M5.4 Pohang earthquake temporal seismic network (300~ stations)

• 2017-2020 East Sea ocean bottom seismometer (OBS) project (~90 stations)

• 2018 Broadband ocean bottom seismometers (BBOBSs) of the Pacific Oldest-1 array (11 stations)

• 2021-2023 Ulleung volcanic island temporal broadband array (8 stations)

• 2021- Jeju (Mt. Halla) volcanic island temporal broadband array (5 stations)

Current Research Topics

•  Compilation of earthquake catalog in the southern Korean Peninsula using machine learning techniques

- earthquake detection, signal discrimination, polarity determination for focal mechanisms, earthquake de-clustering

• Earthquake source analysis

- Signal clustering using DBSCAN, re-location using cross-correlation, template matching detection, b-value, stress-inversion, sheer wave splitting

• Development of seismological analysis method based on deep Learning techniques

- seismograph orientation corrections, magnitude determination

• Tectonic earthquake source analysis in Yukon, Canada.

- University of Calgary (Co-adviser: Prof. Jan Dettmer)