hyoki hong

hyoki hong

Staff Engineer @ Samsung Electro-Mechanics

About

🔬 Atomic-Scale Materials Characterization & Data-Driven Insights Lead DFT simulations and Python-based modeling to predict site preference, defect interactions, and reliability in electronic ceramics Specialized in atomic-resolution analysis using TEM, STEM-EDS/EELS, and in-situ biasing TEM ⚙️ Materials Development for Reliability & Performance Directed R&D on dielectric and magnetic powders, including process control for insulating coatings and casting flows Developed ceramic and ITO sintering protocols for functional material integration 🧪 Thin Films & 2D Materials Research Hands-on expertise in ALD, PLD, and sputtering; graphene synthesis via PE-CVD Investigated nanoscale metal growth and surface phenomena on 2D substrates 🧭 Cross-Disciplinary Skillset Proficient in advanced tools: XRD, AFM, XPS, EELS, in-situ TEM Bridging materials science and data science to accelerate materials innovation 🎓 Academic Background & Impact Ph.D. in Transmission Electron Microscopy (UNIST) First-author publications in high-impact journals on 2D materials and ceramic reliability Most recently led an atomic-scale study on Dy-doped BaTiO₃, integrating DFT and STEM to reveal defect stabilization and site-specific doping mechanisms for MLCC reliability.

Country

South Korea

City

Seoul Incheon Metropolitan Area

Industry

Semiconductors

Skill

Transmission electron microscopy, CVD, 2D Materials, Graphene synthesis, ceramic engineering, Electron microscopy, materials science, density fuctional theory, python, Data Analysis, Machine Learning, Data Visualization, Materials Informatics, 분석능력, Thinfilm, Sintering, 세라믹, Metal, 금속공학, PLD

Experience

Samsung Electro-Mechanics

Staff Engineer

Samsung Electro-Mechanics

LinkedIn
2018-9 - Present · 8 yrs 1 mo

대한민국 수원

Education

University of Michigan

University of Michigan

LinkedIn

Data science

2026-1 - 2027-12 · 2 yrs

Excited to share that I’ve been admitted to the University of Michigan’s Master of Applied Data Science (MADS) program! I’m looking forward to deepening my skills in data science and applying them to real-world problems, particularly in the areas of material simulation and research innovation. Proud to be joining the #GoBlue community this Fall!

Ulsan National Institute of Science and Technology

Ulsan National Institute of Science and Technology

LinkedIn

Material science and engineering

2013-3 - 2018-8 · 5 yrs 6 mos

hyoki hong's Contact Information

Email

******@***.com

Phone

(**) *** ****

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