Research output per year
Research output per year
Personal profile
In Korean
전형구 교수(자연과학대학 지구시스템과학부)
Education
o (2012) B.S., Seoul National University, Seoul
o (2014) M.S., Seoul National University, Seoul
o (2017) Ph.D., Seoul National University, Seoul
o (2014) M.S., Seoul National University, Seoul
o (2017) Ph.D., Seoul National University, Seoul
Professional Experience
o (2021~Present) Assistant Professor, Kyungpook National University, Deagu
o (2016~2021) Senior Research Scientist, Korea Institute of Ocean Science and Technology, Busan
o (2012~2016) Research Assistant, Seoul National University , Seoul
o (2016~2021) Senior Research Scientist, Korea Institute of Ocean Science and Technology, Busan
o (2012~2016) Research Assistant, Seoul National University , Seoul
Research Interests
Seismic data processing, Inversion, Machine learning, Seismic migration, Numerical optimization, Seismic oceanography, Seismology, Wave propagation, 4D seismic, Subsurface monitoring
Major Research Achievements
o Repeatability enhancement of time-lapse seismic data via a convolutional autoencoder
o Random noise attenuation of sparker seismic oceanography data with machine learning
o Estimation and uncertainty analysis of the CO2 storage volume in the Sleipner field via 4D reversible-jump Markov-chain Monte Carlo
o Laplace-Fourier-domain elastic full-waveform inversion using time-domain modeling
o Random noise attenuation of sparker seismic oceanography data with machine learning
o Estimation and uncertainty analysis of the CO2 storage volume in the Sleipner field via 4D reversible-jump Markov-chain Monte Carlo
o Laplace-Fourier-domain elastic full-waveform inversion using time-domain modeling
url
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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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
Shin, J., Ha, J. & Jun, H., Feb 2025, In: Acta Geophysica. 73, 1, p. 479-493 15 p.Research output: Contribution to journal › Article › peer-review
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Cross-equalization for time-lapse sparker seismic data
Lee, S., Won, J. & Jun, H., Nov 2024, In: Geophysical Prospecting. 72, 9, p. 3258-3279 22 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Loss functions in machine learning for seismic random noise attenuation
Jun, H. & Kim, H. J., Mar 2024, In: Geophysical Prospecting. 72, 3, p. 978-995 18 p.Research output: Contribution to journal › Article › peer-review
4 Scopus citations -
Resolution enhancement for a seismic velocity model using machine learning
Kim, S., Cho, Y. & Jun, H., 1 Aug 2024, In: Geophysical Journal International. 238, 2, p. 681-699 19 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Stochastic seismic acoustic impedance inversion via a Markov-chain Monte Carlo method using a single GPU card
Moon, S., Cho, Y., Sim, Y., Lee, D. & Jun, H., May 2024, In: Journal of Applied Geophysics. 224, 105357.Research output: Contribution to journal › Article › peer-review
2 Scopus citations