All 12 students of the IAI Lab successfully delivered oral presentations at the KSME Fall Annual Conference (대한기계학회 추계학술대회).
- Donghyun: Language Model-driven Cross-modal Symbolic Regression for Discovery of Governing Equations
- Kiho: A Novel Approach of Continual Fine-Tuning for Preserving Domain Specialization of Language Models
- Seongmin: PINAS: A Novel Approach of Physics-informed Neural Architecture Search
- Dongwon: LLM-augmented Signal Detection and Interpretation via Dynamics-Aware Tokenization
- Minwoo: Multi-agent-based Domain-specialized LLM for Seamless Design and Manufacturing
- Hoonhyung: Deep Generative and Explainable Prompt-guided Latent Diffusion
- Yeongtae: DroneMorph: 3D Drone Shape Dataset for Design Optimization
- Hyeongbae: Physics-informed Approach for Posture-Adaptive Intrabody Potential Prediction
- Jaeryun: Physics-informed Deep Operator Learning for Vehicle-level Thermal-Stress Surrogate Model
- Jeongwoo: Physically-aligned Flow Matching for Learning Latent Trajectories of Transient Dynamics
- Yujin: Optimizable Path-guided Diffusion Model for Deep Generative Structures
- Changhyeon: Expert-embedded Language Model for Autoheuristic Optimization of Physics-informed Neural Networks
All 12 students of the IAI Lab successfully delivered oral presentations at the KSME Fall Annual Conference (대한기계학회 추계학술대회).
- Donghyun: Language Model-driven Cross-modal Symbolic Regression for Discovery of Governing Equations
- Kiho: A Novel Approach of Continual Fine-Tuning for Preserving Domain Specialization of Language Models
- Seongmin: PINAS: A Novel Approach of Physics-informed Neural Architecture Search
- Dongwon: LLM-augmented Signal Detection and Interpretation via Dynamics-Aware Tokenization
- Minwoo: Multi-agent-based Domain-specialized LLM for Seamless Design and Manufacturing
- Hoonhyung: Deep Generative and Explainable Prompt-guided Latent Diffusion
- Yeongtae: DroneMorph: 3D Drone Shape Dataset for Design Optimization
- Hyeongbae: Physics-informed Approach for Posture-Adaptive Intrabody Potential Prediction
- Jaeryun: Physics-informed Deep Operator Learning for Vehicle-level Thermal-Stress Surrogate Model
- Jeongwoo: Physically-aligned Flow Matching for Learning Latent Trajectories of Transient Dynamics
- Yujin: Optimizable Path-guided Diffusion Model for Deep Generative Structures
- Changhyeon: Expert-embedded Language Model for Autoheuristic Optimization of Physics-informed Neural Networks