Mr. Rezwan received BS degree in Computer Science and MS in Telecommunication Engineering from Independent University Bangladesh (IUB). Before starting his PhD candidature at Fudan University, he used to work as Assistant Professor at Department of Computer Science and Engineering at Southeast University (Bangladesh). His research interest include embedded system, control system and robotics.

Publications:

[1] Anwer M., Kalam N., Khan R.-.A.-I., De-noising Speech Signal Using Composite Wavelets and
Grazing Estimation Methods , Journal of Emerging Trends in Computing and Information Sciences, ISSN 2079-8407, Vol. 4, No. 11 November 2013.

[2] Anwer M., Khan R.-.A.-I., Voice identification Using a Composite Haar Wavelets and Proper Orthogonal Decomposition , International Journal of Innovation and Applied Studies, ISSN 2028-9324 Vol. 4 No. 2 Oct. 2013, pp. 353-358

[3] Khan R.-A.-I., Anwer M. Graphical Tools for Computer Algorithms Using OpenGL , In 7th International Conference on Computer and Information Technology 2004.

[4] Khan R.-A.-I, Salim K.M. Microcontroller Based Data Acquisition System Used In Calculating Gravitational Acceleration In 8th International Conference on Computer and Information Technology 2005.

[5] Kalam N., Anwer M., Khan R.-A.-I, .Enhancement of Bayesian Spam Filter In 8th International Conference on Computer and Information Technology 2005.

Miss. Wang received the B.S. and M.S. degrees in electronic engineering from Fudan University , China, in 2016 and 2019, respectively. She is now employed as an alogrithm engineer at Baidu.

Ms. Qi has received her Master’s Degree in Pattern Recognition and Intelligent Systems , North China Electric Power University in 2015. She is a Ph.D. candidate in Circuit and Systems, Department of Electronic Engineering, Fudan University in 2019. Her current interests are in edge Computing in Energy Internet.

He received the B.S. degree in applied mathematics from Hainan Normal University, Haikou, China, in 2013, and the M.S. degree in mathematics from China University of Mining and Technology, Xuzhou, China, in 2015. He is currently working toward the Ph.D. degree with Fudan University, Shanghai, China.

His current research interests include synchronization of complex networks and control of networks.

Publication

2019

1. Wu, J., Yu, X. H., & Li, X. (2019). Global Frequency Synchronization of Complex Power Networks Via Coordinating Switching Control. IEEE Transactions on Circuits and Systems I: Regular Papers, 66(8), 3123-3133.
2. Wu, J. & Li, X. (2019). Finite-Time and Fixed-Time Synchronization of Kuramoto-Oscillator Network With Multiplex Control. IEEE Transactions on Control of Network Systems, 6(2), 863-873.

2018

1. Wu, J. & Li, X. Finite-Time Adaptive Synchronization of Drive-Response Two-Layer Networks, 57th IEEE Conference on Decision and Control (CDC), pp. 1415-1420, December, 2018.

Jing Li received the B.S degree in electrical engineering from Shandong University in 2015. He is a master student at CAN lab, department of electronic engineering, Fudan University. His major research interest includes social network analysis and network modeling.

Hui-Yan Li received the B.S degree in Electrical Engineering and Automation from Tianjin University, Tianjin, China, in 2016, and received the M.S degree with the Adaptive Networks and Control Lab (CAN Lab) in Electronic Engineering of Fudan University, Shanghai, China, in summer 2019.

She is currently a PhD student at CAN lab, Department of Electronic Engineering, Fudan University. Her major research interest includes cooperative control of (heterogeneous) multi-agent systems, model predictive control, etc.

Publication

 Li, H., & Li, X. (2019). Distributed Consensus of Heterogeneous Linear Time-varying Systems on UAVs-USVs Coordination. IEEE Transactions on Circuits and Systems II: Express Briefs.

Li, H., Yuan, Q., & Li, X. (2017). Ground-target tracking UAVs system via nonlinear distributed model predictive control. In IECON 2017-43rd Annual Conference of the IEEE Industrial Electronics Society (pp. 5819-5824). IEEE.