Finding the governing equations for the evolution of microbial systems
The evolution of microbial systems is a complex process that develops in four dimensions of space and time, with the participation and interaction of biological, chemical, and physical processes. At present, our limited understanding of its governing equations has been obtained under certain conditions, and most of them are in the form of empirical formulas, such as assuming that there is no spatial variation, or no temperature variation, or no environmental influences. In this course, we will search and read the related literature, combine the existing observational data, perform some analysis and derivation, and explore and seek a more complete set of governing mathematical equations.
Lecturer
Date
23rd September ~ 28th November, 2024
Location
| Weekday | Time | Venue | Online | ID | Password |
|---|---|---|---|---|---|
| Monday,Thursday | 19:20 - 21:45 | A3-1-301 | ZOOM 01 | 928 682 9093 | BIMSA |
Prerequisite
Basic knowledge on mathematical analysis, linear algebra, and differential equations.
Audience
Graduate
, Researcher
, Advanced Undergraduate
, Postdoc
Video Public
No
Notes Public
No
Language
Chinese
Lecturer Intro
Dr. Zhang Xiaoming received his bachelor's, master's, and doctor's degrees from Zhejiang University, Peking University, and Massachusetts Institute of Technology. He is currently a professor at the Beijing Institute of Mathematical Sciences and Applications, responsible for the artificial intelligence and big data research team. Dr. Zhang has long been engaged in the research, development, and application of artificial intelligence technologies to big data prediction and resource optimization and allocations problems. He presided over the development of digital intelligence service platform "printing and dyeing brain", which was well recognized in the industry. At present, his work focuses on the mathematical problems in developing industrial digital twins.