Research
We develop computational and physical systems while treating credibility as part of engineering, not an afterthought.
계산 생체역학 및 환자 맞춤형 모델링
We connect medical images, finite-element analysis, uncertainty assessment, and interpretable prediction to study individualized mechanical risk.
의료기기·로봇·햅틱
We develop and evaluate assistive and interventional systems where mechanics, sensing, human interaction, and safety evidence must work together.
디지털 트윈·AI·모델 신뢰성
We organize simulation and AI evidence around context of use, model risk, verification, validation, uncertainty, and lifecycle assurance.
How we work
Across domains, the group uses a consistent reasoning sequence: define the decision, assess the consequences of model use, plan proportionate evidence, and preserve traceability.
Start from the question of interest and the model's intended role.
Plan evidence in proportion to model influence and consequence.
Keep assumptions, data, computation, and validation evidence auditable.
Build methods that remain interpretable and practical for their users.