报告题目：Mathematical Models and Machine Learning for Drug Delivery
报告人：Jiangguo Liu, Colorado State University
报告时间：2024年6月26日 9:30-10:30
报告地点：正新楼209
校内联系人：李永海 yonghai@jlu.edu.cn
摘要：This talk presents two aspects of our on-going research of drug delivery. (1) Drug transport through tissue to tumor/cancel sites. This is usually modeled as unsteady or time-fractional convection-diffusion problems in poroelastic media, for which (weak Galerkin) finite element methods and finite volume methods can be used. Besides efficiency and robustness, these methods are expected to respect mass conservation and positivity. (2) Drug release from within polymeric nanoparticles, for which topology could be employed for research of drug-polymer conjugation. More interestingly, in vitro experiments can be integrated with machine learning.
报告人简介：Jiangguo (James) Liu is a full professor and PhD supervisor in Department of Mathematics at Colorado State University (USA). He earned a PhD degree from University of South Carolina in 2001 and joined Colorado State University in 2005. His research interests focus on efficient numerical methods for transport problems in porous media and his research projects have been supported by National Science Foundation. He is an associate editor of Journal of Computational and Applied Mathematics and has served SIAM at various positions. Recently he became more interested in interdisciplinary research for drug delivery. He has published 60+ research papers including those on SIAM Journal on Scientific Computing, SIAM Journal on Numerical Analysis, and ACS Applied Nano Materials.
