Miss. Li received the B.S. degree in  the electronic engineering department, Fudan University, Shanghai, China. Now she is  working toward the Master degree at Fudan University. Her research interest is temporal social network.

Miss. Li received the BS degree in electrical engineering and automation and the MS degree in transportation planning and management from Shandong University of Science and Technology, in 2012 and 2015, respectively. She is currently working toward the PhD degree at Fudan University. Her research interests include game theory and its applications in epidemic control and network science.

Her publications:

Xiao Jie Li, Cong Li, Xiang Li. Minimizing Social Cost of Vaccinating Network SIS Epidemics. IEEE Transactions on Network Science and Engineering, 2018, 5(4): 326-335.

Xiao Jie Li, Cong Li, Xiang Li. Vaccinating SIS Epidemics in Networks with Zero-determinant Strategy, IEEE International Symposium on Circuits and Systems, 2017:1-4.

Xiao Jie Li, Cong Li, Xiang Li .Win-win Zero-determinant Strategy to Vaccinate the SIS Network Epidemics, IEEE International Conference on Systems, Man, and Cybernetics, 2018: 3129-3134.

Miss. Kang received the B.S. degree in department of electronic engineering, from Fudan University, Shanghai, China, where she is currently working toward the Master degree.
Her research interest is network evolution mechanism of opinion dynamics.

Graduated from Department of Electronic Engineering, Fudan University in summer 2015, Mr. Yuan is now a Ph.D candidate without a Master Degree at CAN lab, majoring in coordination control of multi-agent systems.

Starting from the year 2015,  Mr. Yuan has been leading in the design of the proprietary Flydan quadrotor drone series, and has successfully realized an outdoor GNSS-based multi-drone coordination platform. In the year 2016, a flocking algorithm based on decentralized model predictive control was successfully realized on five of the Flydan drones. See also the Github page and the publication.

Mr. Yuan is also affliated to the Research Center of Smart Networks and Systems in Fudan University (复旦大学智慧网络与系统研究中心).

Publication

2017

1. Yuan, Q., Zhan, J., & Li, X. (2017). Outdoor flocking of quadcopter drones with decentralized model predictive control. ISA transactions, 71, 84-92.
2. Hu, Y., Zhan, J., Yuan, Q., & Li, X. (2017, July). A multi-agent flocking system with communication delays via distributed model predictive control. In Control Conference (CCC), 2017 36th Chinese (pp. 8449-8454). IEEE.
3. Li, H., Yuan, Q., & Li, X. (2017, October). Ground-target tracking UAVs system via nonlinear distbuted model predictive control. In IECON 2017-43rd Annual Conference of the IEEE Industrial Electronics Society (pp. 5819-5824). IEEE.

2015

1. Yuan, Q., Shang, H., Zhan, J., & Li, X. (2015, November). Towards realizing a multiple vehicle coordination system. In Chinese Automation Congress (CAC), 2015 (pp. 1040-1045). IEEE.
2. Gao, C., Yuan, Q., Shang, H., & Li, X. (2015, November). Design and implementation of a quadrotor for indoor swarm research. In Chinese Automation Congress (CAC), 2015 (pp. 390-394). IEEE.

Mr. Hu, majoring in Communication Engineering, graduated from Hohai University in 2014, and now he is interested in consensus problems of multi-agent system.