Research

I want to make materials and manufacturing processes more predictable. During my master’s, I studied how microstructure and interfaces change a sensor’s performance. Later, on a battery electrode line, I watched up close how process conditions (slurry, coating, calendering) turn into real quality.

Going forward, I want to use computational materials science and machine learning to close the gap between atomic-scale features and what actually happens in process and performance.

Download full CV (PDF) ↗ · Google Scholar ↗ · ORCID ↗

Research Directions

• Using computation and AI to shortlist material candidates worth testing
• Designing descriptors that use atomic-scale features to predict real performance
• Analyzing how structure, processing, and performance shape one another in energy materials
• How microstructure and interfaces shape sensor and electrode performance
• Analyzing battery electrode process data to identify promising process conditions

Selected Work

Conductive Fiber Sensor

I built fine hierarchical structures on fiber surfaces and made them conductive, creating a multimodal sensor that stretches well and remains durable under moisture and wet conditions. The electrical signal stayed stable even under large deformation, and the work showed how microstructure geometry governs electrical conduction and sensing in stretchable nanocomposites. It ran as the Back Cover of Advanced Functional Materials issue 50, 2019, and has been cited more than 140 times (Google Scholar).

Conductive Hierarchical Hairy Fibers for Highly Sensitive, Stretchable, and Water-Resistant Multimodal Gesture-Distinguishable Sensor. Seunghoon Choi†, Kukro Yoon†, Sanggeun Lee, Heon Joon Lee, Jaehong Lee, Da Wan Kim, Min-Seok Kim, Taeyoon Lee*, Changhyun Pang*. Advanced Functional Materials 29(50), 2019, 1905808. · Co-first author · Back Cover

View the article ↗

Octopus-Inspired Soft Grippers: Biomimetics Review

A review of soft grippers inspired by the octopus, its arms, suction cups, and pliable body. It covers structural design, sensing elements, control strategies, and AI applications, and analyzes how geometry and material choice shape adhesion and sensing. It interprets bio-inspired structures from an engineering design perspective, and connects to how I now approach microstructure, interface, and sensing problems.

Design and Sensing Frameworks of Soft Octopus-Inspired Grippers Toward Artificial Intelligence. Seunghoon Choi†, Junwon Jang†, Junho Lee, Da Wan Kim*. Biomimetics 2025, 10(12), 813. · Co-first author

View the article ↗

Publications

Note: † Equal contribution · * Corresponding author · Bold indicates Seunghoon Choi

1. Conductive Hierarchical Hairy Fibers for Highly Sensitive, Stretchable, and Water-Resistant Multimodal Gesture-Distinguishable Sensor. Seunghoon Choi†, Kukro Yoon†, Sanggeun Lee, Heon Joon Lee, Jaehong Lee, Da Wan Kim, Min-Seok Kim, Taeyoon Lee*, Changhyun Pang*. Advanced Functional Materials 29(50), 2019, 1905808. Co-first author
2. Design and Sensing Frameworks of Soft Octopus-Inspired Grippers Toward Artificial Intelligence. Seunghoon Choi†, Junwon Jang†, Junho Lee, Da Wan Kim*. Biomimetics 2025, 10(12), 813. Co-first author
3. Octopus-Inspired Adhesive Electrode for Robust EMG-Based Robotic Control under Dry and Wet Conditions. Subi Jeon†, Seunghoon Choi†, Junwon Jang, Jun Young Shim, Da Wan Kim*. International Journal of Internet, Broadcasting and Communication 18(1), 2026, 274-284. Co-first author
4. Bio-Inspired Hydrogel Adhesive Electrode Enabling Stimulus-Responsive Electrical Signal Recording in Plant Leaves. Subi Jeon†, Seunghoon Choi†, Da Wan Kim*. International Journal of Advanced Smart Convergence 15(1), 2026, 241-253. Co-first author
5. Pilot Clinical Study of a Biomimetic Suction Patch for Improving Wrinkles, Elasticity, Hydration, and Pigmentation via Enhanced Topical Delivery. Seunghoon Choi, Hyung-ki Park, Jaehwan Ahn, Keun Ho Lee, Da Wan Kim*. Journal of Cosmetic Dermatology (accepted), 2026. First author

Patents

• Fiber-Type Sensor and Its Manufacturing Method: KR 10-2026011 · Registered Sep 20, 2019
• Functional Surgical Suture with Micro-structured Surface and Its Manufacturing Method: KR 10-2019-0061944 · Patent application, 2019

Awards & Presentations

• Government Scholarship, Integrated B.S.-M.S. Program · Sungkyunkwan University, 2017. Full merit scholarship, including an 8-week research residency at ESPCI Paris.
• Best Poster Award, Octopus-Inspired Adhesive Patch for Bio-Signal Monitoring · Materials Research Society (MRS) Fall Meeting, Boston, 2018
• A Fiber-Based Multimodal Sensor Using Hybrid Nanocomposites · The Polymer Society of Korea Fall Meeting, Busan, 2017

Technical Skills

• Characterization & Structural Analysis: SEM (EDS) · AFM · Optical Microscopy · XRD · FT-IR · UV-Vis · Contact Angle
• Processing & Microstructure Fabrication: Microstructure Imprinting · Polymer Surface Patterning · Stretchable Composite Fabrication · Surface Coating
• Slurry & Colloidal Systems: Slurry Rheology · Colloidal Dispersion Stability · Particle Suspension · Industrial Mixing
• Modeling & Data Analysis: COMSOL Multiphysics (FEM) · MATLAB · Minitab (SPC) · OriginPro · Excel VBA
• Programming & Systems: Python (PyTorch) · C++ · SPC · FAT / SAT

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