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Research Vision
Research Vision
Our mission is to transform healthcare through intelligent digital twins that seamlessly integrate physics-based simulation, artificial intelligence, and medical imaging. By combining computational science with clinical knowledge, we develop next-generation technologies for personalized diagnosis, treatment planning, and therapeutic interventions.
1. Intelligent Digital Twins for Precision Medicine
1. Intelligent Digital Twins for Precision Medicine
We develop patient-specific digital twins that integrate computational modeling, medical imaging, and clinical data.
Our digital twins enable personalized diagnosis, treatment planning, therapy optimization, and predictive simulation.
(Keywords) Digital Twins · Precision Medicine · Computational Modeling · Personalized Healthcare · Treatment Planning
Deep Learning Based Real-Time Phase-Amplitude Correction for Phased Array Transducers in Transcranial Focused Ultrasound
Acoustic Simulation with Deep Learning for Low-intensity Transcranial Focused Ultrasound Digital Twins
2. Physics-informed AI & Scientific Machine Learning
2. Physics-informed AI & Scientific Machine Learning
We develop physics-informed AI models that combine physical principles with data-driven learning.
Our research includes PINNs, neural operators, AI surrogate models, and multi-physics simulation.
(Keywords) Physics-informed AI · Scientific Machine Learning · Neural Operators · AI Surrogate Models · Multi-physics Simulation
Operator Learning for Transcranial Focused Ultrasound Digital Twins
A GPU-Accelerated Multiphysics Solver with Dynamic Acoustic-Thermal-Perfusion Coupling for Transcranial Focused Ultrasound
3. Translational Computational Medicine
3. Translational Computational Medicine
We translate digital twins and physics-informed AI into clinically deployable healthcare technologies.
Our applications include therapeutic ultrasound, medical image computing, and image-guided interventions.
(Keywords) Medical Image Computing · Image-guided Interventions · AI-assisted Treatment Planning · Clinical Translation
Automatic Patient-Specific Microwave Ablation Planning Accelerated by a Physics-Guided Deep Learning Model
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