简介: |
Abstract. Cancer is the second leading cause of death in the United States and expected to be the leading cause of death in the next few years. With the advancement of computational mathematics, big data science and unprecedented computing power, it becomes possible to investigate the complex tissue growth phenomenon of tumors for cancer prognosis using mathematical modeling and computer simulation. The growth of biological tissue is a complex process because it involves various biophysically- and biochemically-induced events at different spatial and temporal scales. Multi-scale modeling techniques allow us to incorporate important features at various levels to examine the tissue growth mechanism and determine the major factors affecting the growth process. In this talk, I will discuss a multi-scale modeling framework across tissue level, cellular and sub-cellular levels, along with the solution strategies. Then, I will present some preliminary results. Finally, I will discuss future challenges and opportunities in computational medicine as well as how immersive 3D visualization and biomedical big data analytics would likely to reshape medical education, treatment planning and clinical trials.
About the Speaker:
Dr. Feng is a Professor of Mechanical and Biomedical Engineering at UT San Antonio, and the Director and co-Founder of NSF-Sponsored Center for Simulation Visualization and Real-Time Prediction (SiViRT), which manage UTSA’s Advanced Visualization Lab (VizLab). He is also a core faculty member of joint Biomedical Graduate Program of UT San Antonio and UT Health Science Center at San Antonio. His research areas involve computational cancer research, virtual surgery for surgical training and medical device design.
Prof. Feng received his Ph.D. in Computational Mechanics from the University of Texas at Austin in 1995. He has two Master’s degrees in Mechanical Engineering and Applied Mathematics from University of Oklahoma in 1989 and 1990, respectively. He received his Bachelor’s degree in Solid Mechanics from Tsinghua University in China in 1982. Dr. Feng is a recipient of highly competitive NIH/K25 career award from 2007 – 2012 for his work on integrative modeling of image-guided cancer treatment simulation. Dr. Feng was awarded the Excellence of Research Award in 2012, and named as the Innovator of the Year in 2013 - an inaugural Innovation Award from UT San Antonio. Before joining University of Texas at San Antonio, he was a faculty of Mathematics Department at Concordia University and Research Scientist at University of Texas at Austin. He also has more than 10 years extensive industry experiences across aerospace, materials, semiconductor, and computer software industries. |
