Dr. Seung Bae Son is a leading researcher in surface science, nanomaterials, and machine learning applications in materials engineering. He earned his Ph.D. in Surface Science from Jeonbuk National University, Republic of Korea (2014), specializing in scanning probe microscopy and nanostructure formation. Currently serving as a Research Professor at Jeonbuk National University, he has extensive experience in thin-film materials, semiconductor devices, and AI-driven material characterization. With over 50 peer-reviewed publications, Dr. Son’s work has significantly advanced energy materials, optoelectronic devices, and high-performance alloys, making him a strong candidate for the Best Researcher Award. 🏆📚
Dr Seung Bae Son, Jeonbuk National University, South Korea
Profile
SCOPUS
Education 🎓
Dr. Seung Bae Son has an extensive academic background in surface science and nanotechnology. He earned his Ph.D. in Surface Science (2014) from Jeonbuk National University, Republic of Korea, focusing on scanning probe microscopy for self-assembly and nanostructure formation of organic molecules on graphite. He also holds an M.Sc. in Physical Chemistry (2006), where he studied self-assembled monolayers using scanning tunneling microscopy, and a B.Sc. in Chemistry (2004), where he investigated single-molecule oxidation processes. His education has built a strong foundation in nanomaterials, molecular manipulation, and advanced microscopy techniques. 🏆📚
Experience 🏢
Dr. Seung Bae Son has a wealth of experience in surface science, nanomaterials, and advanced microscopy. Since 2020, he has been a Research Professor at Jeonbuk National University, where he leads projects on nanostructured materials and AI-driven material characterization. Previously, he worked as a Postdoctoral Researcher at the Korea Institute of Industrial Technology (2018–2019), focusing on advanced surface coatings and semiconductor devices. From 2015 to 2017, he conducted postdoctoral research at the Korea Basic Science Institute, specializing in scanning probe microscopy and optoelectronic materials. His expertise bridges fundamental research and industrial applications. 🚀🔍
Research Focus 🔬
Dr. Seung Bae Son specializes in nanostructured materials, alloy development, and advanced manufacturing techniques. His research focuses on metallic alloys, nanoprecipitation behavior, and material characterization for industrial applications. He explores the mechanical and thermal properties of aluminum alloys, using techniques like spark plasma sintering and compression molding to enhance material performance. His work contributes to lightweight, high-strength materials for aerospace, automotive, and structural applications. By integrating nanotechnology, metallurgy, and advanced processing methods, Dr. Son is driving innovations in next-generation materials with improved durability, strength, and sustainability. ⚙️🔍🚀
Publications📄
📌 2025
🔹 Effect of Space Holder Size on Microstructure and Mechanical Properties of Aluminum Foam – Metals & Materials International
✍️ Authors: S. J. Kim, S. H. Choi, T. Y. Ahn, Y. S. Choi, S. J. Lee, S. B. Son*
📌 2024
🔹 Natural Aging-Induced Nanoprecipitation and Its Impact on Tensile Properties of Al-Si-Cu-Mg Cast Alloy – Materials Characterization
✍️ Authors: S. H. Lee, N. H. Seo, M. Kang, S. B. Son, S. J. Lee, J. G. Jung
🔹 Investigation on the Structural and Mechanical Properties of Al Foam Manufactured by Spark Plasma Sintering and Compression Molding Methods – Korean Journal of Metals & Materials
✍️ Authors: S. H. Choi, S. H. Lee, J. G. Jung, S. J. Lee, T. Y. Ahn, Y. S. Choi, S. B. Son*
📌 2023
🔹 Machine Learning Model and Prediction Mechanisms of Bainite Start Temperature of Low Alloy Steels – Materials Transactions
✍️ Authors: J. H. Jeon, N. H. Seo, J. G. Jung, S. B. Son, S. J. Lee
🔹 Microstructure and Mechanical Behavior of AISI 4340 Steel Fabricated via Spark Plasma Sintering and Post-Heat Treatment – Materials Science & Engineering A
✍️ Authors: J. B. Park, J. H. Jeon, N. H. Seo, S. G. Kang, S. B. Son, S. J. Lee, J. G. Jung
📌 2022
🔹 Prediction and Mechanism Explanation of Austenite-Grain Growth During Reheating of Alloy Steel Using XAI – Journal of Materials Research and Technology
✍️ Authors: J. H. Jeon, N. H. Seo, J. G. Jung, H. S. Kim, S. J. Lee, S. B. Son*
🔹 Machine Learning Prediction for Cementite Precipitation in Austenite of Low-Alloy Steels – Materials Transactions
✍️ Authors: J. H. Jeon, N. H. Seo, J. G. Jung, S. J. Lee, S. B. Son*
📌 2021
🔹 Application of Machine Learning Algorithms and SHAP for Prediction and Feature Analysis of Tempered Martensite Hardness in Low-Alloy Steels – Metals
✍️ Authors: J. H. Jeon, N. H. Seo, S. B. Son, S. J. Lee, M. S. Jung
🔹 Inverse Design of Fe-Based Bulk Metallic Glasses Using Machine Learning – Metals
✍️ Authors: J. H. Jeon, N. H. Seo, H. J. Kim, M. H. Lee, H. K. Lim, S. B. Son, S. J. Lee
📚 Dr. Seung Bae Son’s research bridges nanotechnology, metallurgy, and machine learning, driving advancements in smart materials, optoelectronic properties, and alloy engineering. His high-impact publications reflect his leading contributions to materials science and nanotechnology. 🚀🔬