BHCHOI / CV
Curriculum vitae.
Byunghoon Choi
Ph.D. Candidate · Inha University
Profile
I work at the intersection of geophysical sensing, machine learning, and scientific software. My research connects GPR and seismic interpretation with synthetic data generation, numerical modeling, and field validation.
Education
Ph.D. Candidate · Energy Resources Engineering
Inha University · Geophysical Prospecting Laboratory. Doctoral coursework completed; dissertation research in progress.
Master’s Degree · Energy Resources Engineering
Inha University · Geophysical Prospecting Laboratory
Bachelor’s Degrees · Energy Resources Engineering & Software Convergence Engineering
Inha University · Dual degree
Field research
Arctic field research · R/V Araon
Participated in Arctic seabed geological surveys and research on seafloor environmental change aboard the icebreaker Araon.
Research interests
Journal articles
Reproducibility-Based Field Validation of Complementary Subsurface Sensing Using a Quantum Diamond Magnetometer and Multi-Frequency Ground-Penetrating Radar
Sensors, 26(17), 5439
Synthetic seismic data generation with pix2pix for enhanced fault detection model training
Computers & Geosciences, 197, 105879
Prediction of S-wave velocity models from surface waves using deep learning
Near Surface Geophysics, 22(3), 281–297
Deep-learning-based GPR Data Interpretation Technique for Detecting Cavities in Urban Roads
Geophysics and Geophysical Exploration, 25(4), 189–200
Fault Detection for Seismic Data Interpretation Based on Machine Learning: Research Trends and Technological Introduction
Geophysics and Geophysical Exploration, 23(2), 97–114
Thesis
A study of seismic data generation for fault detection using generative adversarial networks
Master’s thesis · Inha University
Conference contributions
20 first-author presentations
10 co-authored presentations
GPR interpretation, seismic imaging, generative modeling, and uncertainty quantification.
Browse the complete research archiveRecognition & community
5th place · PDDA Machine Learning Competition
Recognition in the 2023 PDDA machine learning competition.
Competition organizer · GPR buried-object localization
Organized “Find locations of buried objects from GPR data” on Kaggle.
View competition ↗Certifications
Republic of Korea · Issued 2023
- Engineer Information Processing정보처리기사
- Advanced Data Analytics Semi-ProfessionalADsP
- SQL DeveloperSQLD
- Engineer Big Data Analysis빅데이터분석기사