About

The Laboratory for Applied Probabilistic Learning and Clinical Engineering (Laplace) Center is directed by Dr. Zihao Wang, and affiliated with the Computer Science and Engineering Department at University of Tennessee, Chattanooga.

We advance artificial intelligence for engineering and healthcare with a strong foundation in principled machine learning. Our researches are deeply rooted in the theory of generative learning, with a solid foundation in the mathematical and algorithmic principles that drive modern machine learning. Building on this foundation, Laplace Lab develops innovative AI solutions for engineering and healthcare. Our research spans from developing generative models to reduce imaging artifacts and improve organ shape analysis, to advancing discriminative algorithms for anatomical landmark detection and attention-based image registration. We also investigate theoretical frontiers, including statistical feature integration in diffusion models and the use of backward stochastic differential equations for score-based generative modeling. Beyond healthcare, we apply these principles to solve real-world challenges in electronic engineering. Through interdisciplinary collaboration, we aim to turn theoretical breakthroughs into impactful technologies.

Showreel