On April 12, Professor Tian Tianhai of Monash University in Australia gave an academic report entitled "Resilience of large-scale interacting networks with positive and negative regulations" at the invitation of our institute in the lecture hall of the School of Science. The seminar was chaired by Professor Ding Yiming, Dean of the School of Science, and attended by faculty and student representatives of the School of Science.
Dean Ding Yiming introduced Professor Tian Tianhai's achievements to the teachers and students present, and extended a warm welcome to him on behalf of all teachers and students. Dean Ding said: Professor Tian's report will delve into the resilience of large-scale regulatory networks under the influence of positive and negative regulation. This is important for us to understand and design complex systems that can maintain stability in fluctuating environments.
In this report, Professor Tian first introduced the definition and indicators of system resilience, and the importance of studying system resilience. Professor Tian's research focuses on the resilience of large gene regulatory networks, especially how networks maintain their stability and function under different types of regulatory effects. In the presentation, Professor Tian introduced an effective simplification method. This approach is able to reduce the complexity of large-scale gene regulatory networks while retaining their key functions. Using the gene networks of E. coli and yeast as examples, he demonstrated the impact of positive and negative regulation on the resilience of biological systems.
After the report, the participating teachers and students actively participated in the discussion and had in-depth academic exchanges with Professor Tian. Professor Tian gave detailed answers to the questions raised, and the atmosphere was warm and academic.
This academic report not only brought new academic perspectives to our faculty and students, but also deepened their understanding of the resilience and network regulation mechanism of complex systems, especially gene regulatory systems. Professor Tian's wonderful report and professional answers will stimulate more thinking and exploration on the future scientific research path of our school.
About the Speaker:
Tian Tianhai: Ph.D. from The University of Queensland, Australia in 2001; His research interests include stochastic modeling of biological systems such as gene networks and cell signaling, numerical simulation of stochastic dynamical systems, model parameter estimation, and statistical analysis and calculation. He has been awarded the title of "Future Fellow" and "Australian Fellow" of the Australian Research Foundation and "Lord Kelvin Fellow" of the University of Glasgow; The research results have been published in several high-level academic journals, including the Journal of Nature Cell Biology, the Proceedings of the National Academy of Sciences, and Current Biology. He has published more than 150 academic papers, of which more than 100 academic papers have been indexed by SCI and have been cited by others more than 1,700 times.
