Ye Yuan was born on Oct. 1986. He received his B. Eng. (Valedictorian) under the supervision of Prof. Yugeng Xi from Department of Automation, Shanghai Jiao Tong University in 7.2008 and M. Phil., Ph.D. from Department of Engineering, University of Cambridge in 9.2009, 2.2012 under the supervision of Dr. Jorge Goncalves. He is now a Postdoctoral Research Associate at Department of Engineering, University of Cambridge, working on a three-UK-institute joint project on " Control Engineering Inspired Design Tools for Synthetic Biology". He is also holding a visiting researcher position at Bioengineering, Imperial College London with Prof. Mauricio Barahona and Dr. Guy-Bart Stan from Oct. 2011 to Jan. 2015.
He was a visiting student researcher at UNM, HKUST, Balling Lab at Luxembourg Centre of System Biomedicine, Richard M. Murray's Lab at California Institute of Technology and LIDS, Massachusetts Institute of Technology with Prof. Munther Dahleh and Prof. Alex Megretski.
He is the recipient of Dorothy Hodgkin Postgraduate Awards, Microsoft Research PhD Scholarship, Cambridge Overseas Scholarship (twice), Chinese Government Award for Outstanding Students Studying Abroad and Henry Lester Scholarship (four times), and a number of travel awards from Pembroke College, Cambridge Engineering Department, Microsoft Research, IEEE, EECI, Los Alamos National Lab etc.. His research interest lies in the mathematical control theory, graph theory with applications to complex network and biology. He is a member of IEEE and IET, a reviewer of IEEE Transactions on Automatic Control, Automatica, Systems and Control Letter, IEEE Signal Processing Letter, IEEE Transactions on Circuits and Systems I, IEEE Transactions on Circuits and Systems II, IEEE CDC, ACC, etc.. He also served as co-chair of a session in CDC, ACC.
 In the news: "China Scholars Abroad" Link (in Chinese).
 Best Paper Award Finalist, IEEE ICIA (awarded by Prof. Morari ETH) Pic.
Wei Pan (Ph.D., Bioengineering, Imperial College, 2011-) Nonlinear identification using sparse Bayesian learning.
David Hayden (Ph.D., Control Engineering, Cambridge, 2011-) Network reconstruction using intrinsic noises.
Peyman Gifani (Ph.D., Control Engineering, Cambridge, 2011-) Synthetic biology: design principle.
Alberto Carignano (Ph.D., Control Engineering, Cambridge, 2011-) Modelling of Circadian Clocks.
Xin Yang (Ph.D., Electrical Engineering, Cambridge, 2011-) Robust stability analysis for IGBT.
I have also been discussing regularly with Enoch Yeung and Qingqing Huang.
Neave O'Clery (Ph.D., Mathematics, Imperial College, 2011-2013) Graph Theory, Complex Networks. Now a Fulbright researcher at Harvard University.
Jerry Thia (M.S., Control Engineering, Cambridge) Distributed Kalman Filter. Now working in the industry in Singapore.
Andreas Kasis (M.S., Control Engineering, Cambridge) Modelling Huntington's Disease Development in Patients. Now a PhD student in Dr. Lestas' group at Cambridge University.
Network identification with guarantee with application to biology Poster 1 Poster 2
Health care: disease progression modelling
Identifiability, Scalability, Robustness.
Yuan Y., Stan G., Shi L., Barahona M. and Gon¨alves J., Decentralised minimum-time consensus, Automatica, 2013.
Yuan Y., Stan G., Warnick S. and Gon¨alves J., Robust dynamical network structure reconstruction, Special Issue on System Biology, Automatica, 2011, 47(6):1230-1235.
O'Clery N., Yuan Y., Stan G. and Barahona M., Observability and coarse-graining of consensus dynamics through the external equitable partition, Physics Review E, 2013.
Wu J., Yuan Y., Zhang H. and Shi L., Event-based sensor data scheduling for linear quadratic Gaussian control, IEEE Transaction on Signal Processing, 2013.
Shi L., Yuan Y., Chen J., Finite horizon LQR control with limited controller-system communication, IEEE Transactions on Automatic Control, 2013.
Herrero E., Kolmos E., Bujdoso N., Yuan Y., Wang M., Berns M., Coupland G., Saini R., Jaskolski M. Webb A., Gon¨alves J. and Davis S., ELF4 recruitment of ELF3 in the nucleus sustains the plant circadian clock, the Plant Cell, 2012, 24: 428-443.
Y. Yuan, Decentralised network prediction and reconstruction algorithms, Ph.D. Thesis, University of Cambridge, 2012.
Q. Huang, Y. Yuan, J. Goncalves and M. A. Dahleh, H2-Based Network Volatility Measures, in Proceedings of IEEE American Control Conference, 2014.
D. Hayden, Y. Yuan and J. Goncalves, Network Reconstruction from Intrinsic Noise, in Proceedings of IEEE American Control Conference, 2014.
W. Pan, Y. Yuan, J. Goncalves and G. Stan, Reconstruction of arbitrary biochemical reaction networks, in Proceedings of 51th IEEE Conference on Decision and Control, 2012.
Y. Yuan, J. Liu, R. M. Murray and J. Goncalves , Minimal-time dynamical consensus, in Proceedings of IEEE American Control Conference, 2012.
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