On the afternoon of December 30th, 2019, School of Artificial Intelligence and Automation of Huazhong University of Science and Technology (HUST) held an academic salon entitled "Complex Networks Resilience and control" in Room 311, South Floor. Jianxi Gao, assistant professor of Rensselaer Polytechnic Institute, was invited to deliver an academic report titled "Network Resilience and Control" for the teachers and students of the School of Artificial Intelligence and Automation. Vice President Haitao Zhang presided over the academic salon. More than 30 teachers and students from the school of artificial intelligence and automation, including vice dean Linqiang Pan, professor Housheng Su, professor min Ouyang, professor Yihua Tan, professor Xiaoping Wang, associate professor Zhiwei Liu, associate professor Yaowen Yu, lecturer Xueming Liu, lecturer Renzhi Lu, attended the academic salon.

Dr.Gao is an Assistant Professor in the Department of Computer Science at Rensselaer Polytechnic Institute. He received his master's and doctor's degrees in automation from Shanghai Jiao Tong University in March 2009 and November 2012, respectively.Visiting study in the research group of H.Eugene Stanley of Boston University (2009.9-2012.5). Since 2012, he has been a Research Assistant Professor at the Center for Complex Networks Research at Northeastern University, and has been visiting Professor Shlomo Havli's research group at the University of Israel and Palestine (2012.7 -- 2012.9).His representative contributions include the study of networks of networks, the robustness and consistency of networks, and the elasticity of complex networks. His research results have been published in Nature, Nature Physics, Proceedings of the National Academy of Sciences (PNAS), Nature Communications, and PhysicalReview Letters (PRL) and other international top journals. There are over 3,000 citations on Google Scholar, and his some results have been featured in media such as Science News.He is an editor of Nature Scientific Reports and a reviewer of top international journals such as Science, PNAS, PRL and PRX, and has been awarded as an excellent reviewer by EPL and Elsevier.

This presentation combines the work of the interviewees in the field of network science and complex systems to explain the understanding, prediction, and ultimate control of complex systems in the real world. Firstly, introducing the analysis tools used to identify control and state parameters of multidimensional complex systems, presenting a one-dimensional dynamic model derived from this method which can accurately predict the toughness of the system, analyzing results and revealing network characteristics that can enhance or weaken the toughness，which can be used to guide the design of real networks. Secondly，proposing K-walk theory algorithm for target control in complex networks，briefly reviewing recent work on nonlinear control and resilience of complex networks and how to apply the theoretical framework to practical systems is illustrated with examples from superlarge social networks, biomolecular networks, air traffic systems and the effects of floods on traffic networks, and climate change.

After the report, the teachers and students had an in-depth discussion with Dr.Gao about the content of the report and some interesting issues based on their own research direction. Finally, Professor Zhang made a concluding speech, expressing his thanks for Dr.Gao's coming and his wonderful report, and hoping to have more opportunities for communication and cooperation in the future.