Publications

 International Journals 

• Kim, S., Cho, Y., Gihm, Y., and Jun, H.* 2025, Machine Learning-Based Prediction of Subsurface Elastic Properties Using Seismic and Well-log Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 18, 27238-27257.  https://doi:10.1109/JSTARS.2025.3623096 

• Park, E., Piao J., Jun, H., Kim, Y., Suk, H., and Han, W. S., 2025, Manifold embedding of geological and geophysical observations for non-stationary subsurface property estimation using geodesic Gaussian processes, Computer and Geosciences, 202, 105958. https://doi.org/10.1016/j.cageo.2025.105958

• Lee, K. H., Park, S. I., Kim, I., Jun, H., Lee, J., Kang, N. K., and Smeraglia, L., 2025, Structural controls on hydrocarbon migration traced from direct hydrocarbon indicators at the southwestern margin of the Ulleung Basin, East Sea, Marine and Petroleum Geology, 173, 107222. https://doi.org/10.1016/j.marpetgeo.2024.107222

• Shin, J., Ha, J., Jun, H., 2025, Time-lapse imaging of shallow water coastal regions using a portable ultra-high-resolution 3D seismic survey system: a case study from offshore Pohang, South Korea, Acta Geophysica, 73, 479-493. https://doi.org/10.1007/s11600-024-01405-4

• Lee, S., Won, J., Jun, H.*, 2024, Cross-equalization for time-lapse sparker seismic data, Geophysical prospecting, 27, 3258-3279. https://doi.org/10.1111/1365-2478.13600

• Kim, S., Cho, Y., Jun, H.*, 2024, Resolution enhancement for a seismic velocity model using machine learning, Geophysical Journal International, 238, 681-699.  https://doi.10.1093/gji/ggae169

• Moon, S., Cho, Y., Sim, Y., Lee, D., and Jun, H., 2024, Stochastic seismic acoustic impedance inversion via a Markov-chain Monte Carlo method using a single GPU card, Journal of Applied Geophysics, 224, 105357. https://doi.org/10.1016/j.jappgeo.2024.105357

• Lee, J., Lee, M. J., Park, H., Jun, H., and Cho, Y., 2024, U-Net++ Based Subshallow Gas-Scattered Image Conditioning: Small-Scale Case Study of Seismic Data Acquired in the Korean East Sea, IEEE Transactions on Geoscience and Remote Sensing, 62, 1-13.  https://doi:10.1109/TGRS.2024.3366952 

• Won, J., Shin, J., Ha, J., and Jun, H.* , 2024, Study on the shallow gas distribution in Yeongil Bay using seismic attribute analysis. Geosciences Journal, 28, 159-177. https://doi.org/10.1007/s12303-023-0044-3

• Jun, H. and Kim, H.-J., 2024, Loss functions in machine learning for seismic random noise attenuation. Geophysical Prospecting, 72, 978-995. https://doi.org/10.1111/1365-2478.13449 

• Jun, H., Yoon, B., and Cho, Y., 2023, Construction of pseudo-Hessian for vertical seismic profile full waveform inversion, Journal of Applied Geophysics, 216, 105146. doi: 10.1016/j.jappgeo.2023.105146

• Jun, H. and Cho, Y., 2022, Repeatability enhancement of time-lapse seismic data via a convolutional autoencoder, Geophysical Journal International, 228, 1150-1170. doi: 10.1093/gji/ggab397

• Cho, Y. and Jun, H.*, 2021, Estimation and uncertainty analysis of the CO2 storage volume in the Sleipner field via 4D reversible-jump Markov-chain Monte Carlo, Journal of Petroleum Science and Engineering, 200, 108333. doi: 10.1016/j.petrol.2020.108333

•  Lee, S. H., …, Jun, H.,…, 2021, Latest Quaternary mass-transport processes of fan-shaped body in the western margin of the Ulleung Basin, East Sea (Japan Sea), Geosciences Journal, 25, 93-105. doi:10.1007/s12303-020-0008-9

•  Moon, S., Kim, H. J., Kim, C. H., Jun, H., Lee, S. H., Jou, H. T., Kim, K., 2021, The Quaternary slip rate of the Yangsan Fault offshore the SE Korean Peninsula and implications for seismic hazard assessment, Geomatics, Natural Hazards and Risk, 12, 310-327. doi: 10.1080/19475705.2021.1872718

•   Jun, H., Jou, H. T., Kim, C. H., Lee, S. H., and Kim, H. J., 2020, Random Noise Attenuation of Sparker Seismic Oceanography Data with Machine Learning, Ocean Science, 16, 1367-1383. doi: 10.5194/os-16-1367-2020  

• Cho, Y., Jeong, D., and Jun, H.*, 2020, Semi-auto horizon tracking guided by strata histograms generated with transdimensional Markov-chain Monte Carlo, Geophysical Prospecting, 68, 1456-1475. doi: 10.1111/1365-2478.12933

•  Kim, H.,…,Jun, H.,…,2019, Crustal structure of the Gunsan Basin in the SE Yellow Sea from ocean bottom seismometer (OBS) data and its linkage to the South China Block,  Journal of Asian Earth Sciences, 180, 103881. doi: 10.1016/j.jseaes.2019.103881

• Jun, H., 2019, Frequency-domain reflection-based full waveform inversion for short-offset seismic data, Journal of Applied Geophysics, 164, 106-116. doi: 10.1016/j.jappgeo.2019.03.010

• Jun, H., Cho, Y., and Noh, J., 2019, Trans-dimensional Markov chain Monte Carlo inversion of sound speed and temperature: Application to Yellow Sea multichannel seismic data, Journal of Marine Systems, 197, 103180. doi: 10.1016/j.jmarsys.2019.05.006

• Cho, Y., Gibson, R. L., Jun, H., and Shin, C., 2019, Accelerating 2D frequency-domain full-waveform inversion via fast wave modeling using a model reduction technique, Geophysics, 85, T15-T32. doi: 10.1190/GEO2018-0850.1

• Jun, H., Shin, J., Shin, C., 2018, Application of full waveform inversion algorithms to seismic data lacking low-frequency information from a simple starting model, Exploration Geophysics, 49, 434-449. doi: 10.1071/EG17007

• Jun, H., Jin, H., and Shin, C., 2018, Application of efficient frequency-domain full waveform inversion using time-domain encoded simultaneous sources, Journal of Seismic Exploration, 26, 141-169.

• Kwon, J., Jun, H.*, Song, H., Jang, U. G., and Shin, C., 2017, Waveform inversion in the shifted Laplace domain, Geophysical Journal International, 210, 340-353. doi: 10.1093/gji/ggx170

• Jun, H., Kwon, J., Shin, C., Zhou, H., and Cogan, M., 2017, Regularized Laplace-Fourier-domain full waveform inversion using a weighted l2 objective function, Pure and Applied Geophysics, 174, 955-980. doi: 10.1007/s00024-016-1398-5

• Shin, J., Jun, H., and Shin, C., 2017, Frequency-domain waveform modeling and inversion for coupled media using a symmetric impedance matrix, Geophysical Prospecting, 65, 170-183. doi: 10.1111/1365-2478.12423

• Blacic, T. M., Jun, H., Rosado, H., and Shin, C., 2016, Smooth 2-D ocean sound speed from Laplace and Laplace-Fourier domain inversion of seismic oceanography data, Geophysical Research Letters, 43, 1211-1218. doi: 10.1002/ 2015GL067421

• Jun, H., Park, E., and Shin, C., 2015, Weighted Pseudo-Hessian for Frequency-domain elastic full waveform inversion, Journal of applied geophysics, 123, 1-17. doi:10.1016/j.jappgeo.2015.09.014

• Jun, H., Kim, Y., Shin, J., Shin, C., and Min, D., 2014, Laplace-Fourier-domain elastic full waveform inversion using time-domain modeling, GEOPHYSICS, 79(5), R195-R208. doi: 10.1190/geo2013-0283.1

• Shin, J., Ha, W., Jun, H., Min, D., Shin, C., 2014, 3D Laplace-domain full waveform inversion using a single GPU card, Computers & Geosciences, 67, 1-13. doi: 10.1016/j.cageo.2014.02.006

• Kwak, S., Jun, H., Ha, W., and Shin, C., 2013, Temporal windowing and inverse transform of the wavefield in the Laplace-Fourier domain, GEOPHYSICS, 78(5), R207–R222. doi: 10.1190/GEO2012-0249.1

 Domestic Journals 

• Kim, M, J., Lee, J., Cho, Y., Jun, H., 2025, Unsupervised Learning Based Lithology Classification from Well Log Data: A Primary Focus on Self-Organizing Map, Geophysics and Geophysical Exploration, 28, 55-63. https://doi.org/10.7582/GGE.2025.28.2.055

• Kim., S., Jun, H.*, 2025, Identification of Brittleness Distribution Based on Elastic Properties: A Case Study and Application, Geophysics and Geophysical Exploration, 28, 1-16. https://doi.org/10.7582/GGE.2025.28.1.001

• Won, J., Shin, J., Ha, J., Jun, H.*, 2024, Study on the Seismic Random Noise Attenuation for the Seismic Attribute Analysis, Economic and Environmental Geology, 57(1), 51-71. doi: 10.9719/EEG.2024.57.1.51

• Jun, H., Cho, Y., 2022, Introduction to Subsurface Inversion Using Reversible Jump Markov-chain Monte Carlo, Geophysics and Geophysical Exploration, 25, 252-265. doi: 10.7582/GGE.2022.25.4.252

• Kim, S., Jun, H.*, 2022, The Use of Unsupervised Machine Learning for the Attenuation of Seismic Noise, Geophysics and Geophysical Exploration, 25, 71-84. doi: 10.7582/GGE.2022.25.2.071

• Jun, H., Kim, C., Kim, H. J., 2021, Machine-learning Based Noise Attenuation of Field Seismic Data using Noise Data Acquisition, Journal of the Korean Society of Mineral and Energy Resources Engineering, 58, 408-417. doi: 10.32390/ksmer.2021.58.5.408

• Choi, S., Jun, H., Shin, S., Chung, W., 2021, Evaluating Accuracy of Algorithms Providing Subsurface Properties Using Full-Reference Image Quality Assessment, Geophysics and Geophysical Exploration, 24, 6-19. doi: 10.7582/GGE.2021.24.1.006

• Moon, H., Jou, H. T., Lee, S. H., Kim, H. J., Jun, H.*, 2020, Comparison of convolutional neural networks for dividing seismic sequences., Journal of the Korean Society of Mineral and Energy Resources Engineers., 57, 541-553. doi: 10.32390/ksmer.2020.57.6.541

*: corresponding author