위대한 교수 연구그룹

Mechanical Modeling, Analysis & Validation.

Our research focuses on mechanical modeling and analysis, haptics and sensory substitution, and verification, validation, and credibility assessment of computational models.

Assistant Professor · Department of Mechanical Engineering, Dong-Eui University
Director · Institute for Digital Biomedical Engineering, Dong-Eui University

Current Research Program

Clinical AI for Fracture-Risk Assessment

NRF Young Researcher Program
2026.03–2031.02 · Ongoing research

An ongoing research program aiming to combine CT-based mechanical modeling, finite-element analysis, and physics-informed AI to develop and validate methods and software for patient-specific femoral fracture-risk assessment and clinical decision support.

  • CT-based mechanical modeling
  • Finite-element analysis & AI
  • Validation & credibility assessment
Explore the research program

Research directions

Research areas

Research overview

기계시스템 모델링 및 역학 해석

Mechanical Modeling & Analysis

We study mechanical behavior through mathematical modeling, structural and vibration analysis, finite-element analysis, and comparison with experiments. Applications include medical devices, robotic components, and biological structures.

  • Mechanical models
  • Structural & vibration analysis
  • Finite-element analysis
  • Experimental comparison

햅틱·감각대체

Haptics & Sensory Substitution

We investigate how tactile information can be generated and perceived through haptic devices, including vibrotactile displays and sensory substitution. This work connects device mechanics with human perception and interaction.

  • Vibrotactile displays
  • Tactile information encoding
  • Sensory substitution
  • Human perception & interaction

모델 검증 및 신뢰성 평가

Model V&V & Credibility Assessment

We study how verification, validation, uncertainty, and evidence requirements support a model’s context of use. Applications include medical-device and robot models, AI models, and in silico clinical trials (ISCT), with credibility assessed for a specific decision.

  • Context of use
  • Verification & validation
  • Uncertainty assessment
  • ISCT & model credibility

Selected work

Selected research

All publications

2019

Mechanical Modeling & Analysis · Journal article

Investigation of the size effect on the resonant behavior of mesoscale cantilever beams

Daehan Wi and Angela A. Sodemann

Journal of Vibration and Control 25(23–24), 2946–2955 · DOI 10.1177/1077546319872311

SCIE · JCR 2018 · Top 21.0% · JIF 2.865

A study of size-dependent cantilever-beam resonance, representing the group’s foundation in mechanics and vibration analysis.

Publication record →

2026

Haptics & Sensory Substitution · Journal article

Reference-Assisted Decoding of Sparse Tactile Codes Through Active Sequential Exploration: Time Costs and Similarity-Driven Errors in a Low-Resolution Vibrotactile Interface

Yeongjun Cho, Hyun Ju Oh, and Daehan Wi

International Journal of Human–Computer Interaction · DOI 10.1080/10447318.2026.2740955 · Published online 2026-10-09

SCIE / SSCI · JCR 2025 · Top 6.2% · JIF 6.1

A study of tactile-code decoding through active exploration, connecting vibrotactile interfaces with human perception.

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2026

Model V&V & Credibility Assessment · Public preprint

Risk-informed Credibility Assessment for Clinical AI/ML Models: A Practical Stage-based Pathway with ISCT-oriented Case Walkthroughs

Daehan Wi

SSRN preprint · DOI 10.2139/ssrn.6218102

A public preprint on risk-informed credibility assessment for clinical AI/ML, including ISCT-oriented case walkthroughs.

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Updates

Latest news

All news
Publication

Tactile-code decoding study published in IJHCI

Our study of reference-assisted decoding of sparse tactile codes was published online in the International Journal of Human–Computer Interaction on 9 October 2026. The study examines exploration time and similarity-driven errors in a low-resolution vibrotactile interface.

Acceptance notice

Tactile-code decoding study accepted in IJHCI

Our study on reference-assisted tactile-code decoding has been accepted for publication in the International Journal of Human–Computer Interaction. The journal ranks in the top 6.2% of the Ergonomics category (JCR 2025; JIF 6.1).