Graziano Chesi joined the Department of Electrical and Electronic Engineering of the University of Hong Kong in 2006, where he is now a full professor. He received the Laurea in Information Engineering from the University of Florence in 1997 and the PhD in Systems Engineering from the University of Bologna in 2001. He was a visiting PhD student at the University of Cambridge, a postdoctoral fellow at the University of Tokyo, an assistant professor at the University of Siena, and a specially appointed professor at the Tokyo Institute of Technology.

He served as associate editor for various journals, including Automatica, the European Journal of Control, the IEEE Control Systems Letters, the IEEE Transactions on Automatic Control, the IEEE Transactions on Computational Biology and Bioinformatics, and Systems and Control Letters. He also served as guest editor for the IEEE Transactions on Automatic Control, the International Journal of Robust and Nonlinear Control, and Mechatronics.

He founded the Technical Committee on Systems with Uncertainty of the IEEE Control Systems Society. He also served as chair of the Best Student Paper Award Committees of the IEEE Conference on Decision and Control and the IEEE Multi-Conference on Systems and Control.

He authored the books "Homogeneous Polynomial Forms for Robustness Analysis of Uncertain Systems" (Springer 2009) and "Domain of Attraction: Analysis and Control via SOS Programming" (Springer 2011). He was elevated to the grade of IEEE Fellow for contributions to control of nonlinear and multi-dimensional systems upon evaluation by the IEEE Control Systems Society.




Contact Information

Graziano Chesi
Department of Electrical and Electronic Engineering
The University of Hong Kong
Pokfulam Road, 
Hong Kong
Phone: +852-22194362, Fax: +852-25598738
Email:, Web:


Key Contributions



Selected Publications

2D Systems

Computer Vision


Genetic Networks

Networked Systems

Nonlinear Systems


Switched Systems

Uncertain Systems

Visual Servoing



SMRSOFT (requires SeDuMi)
SMRSOFT is a Matlab toolbox for optimization over polynomials and dynamical systems study via SOS programming

TFML (requires SeDuMi)
Solves the multiple-view L2 triangulation problem with the TFML method proposed in the paper:
G. Chesi and Y.S. Hung, "Fast Multiple-View L2 Triangulation with Occlusion Handling," Computer Vision and Image Understanding, vol. 115, no. 2, pp. 211-223, 2011


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