Liang Liang

Liang Liang is an Assistant Professor in Computer Science at the University of Miami's College of Arts and Sciences. His research develops AI-driven methods for medical image interpretation and biomechanical analysis, with emphasis on lumbar spine diagnostics and cardiovascular modeling.

Key innovations include attention-based networks for artifact-free geometry reconstruction from MRIs, hybrid Transformer-CNN architectures for spinal segmentation, and reinforcement learning frameworks for arterial growth simulation. His lab also advances adversarial robustness in diagnostic neural networks to ensure reliability in clinical settings.

Publication trends highlight biomechanical computing applications, including aortic aneurysm risk assessment and growth law formulation using deep learning surrogates. His work integrates computer science principles with cardiovascular physiology and orthopedic diagnostics.