Prof. Qing Gao received his Ph.D. degree in Mechatronics Engineering from the City University of Hong Kong, Kowloon, Hong Kong in 2014. From 2014 to 2016, he was with the School of Engineering and Information Technology, University of New South Wales, Canberra at the Australian Defence Force Academy, as a postdoctoral research associate. Since 2018, he has joined the School of Automation Science and Electrical Engineering, Beihang University as a full professor. His research interests include quantum AI and control theory.

Prof. Gao is the recipient of the Alexander von Humboldt Fellowship of Germany and the 21st Guan Zhao-Zhi Award.

近年代表性研究工作：

[J1] Q. Gao, D. Dong, I. R. Petersen and S. X. Ding, “Design of a discrete-time fault tolerant quantum filter and fault detector,” IEEE Transactions on Cybernetics, to appear, 2020.  (Regular Paper)

[J2]  Q. Gao, D. Dong, I. R. Petersen and S. X. Ding, “Design of a quantum projection filter,” IEEE Transactions on Automatic Control, to appear, 2020. 

[J3] Q. Gao, G. Zhang, and I. R. Petersen, “An improved quantum projection filter,” Automatica, to appear, 2020. (Regular Paper)

[J4] Q. Gao, G. Zhang, and I. R. Petersen, “An exponential quantum projection filter for open quantum systems,” Automatica, vol. 99, pp. 59-68, 2019. (Regular Paper)

[J5] Q. Gao, D. Dong, and I. R. Petersen, “Fault tolerant quantum filtering and fault detection for quantum systems,” Automatica, vol. 71, pp. 125-134, 2016.  (Regular Paper)

[J6] Q. Gao, G. Feng, D. Dong, and Y. Wang, “Universal fuzzy models and universal fuzzy controllers for discrete-time nonlinear systems,” IEEE Transactions on Cybernetics, vol. 45, no. 5, pp. 880-887, 2015.  (Regular Paper)

[J7] Q. Gao, G. Feng, Z. Xi, Y. Wang, and J. Qiu, “A new design of robust H infinity sliding mode control for uncertain stochastic T-S fuzzy time-delay systems,” IEEE Transactions on Cybernetics, vol. 44, no. 9, pp. 1556-1566, 2014.  (Regular Paper)

[J8] Q. Gao, L. Liu, G. Feng, and Y. Wang, “Universal fuzzy integral sliding-mode controllers for stochastic nonlinear systems,” IEEE Transactions on Cybernetics, vol. 44, no. 12, pp. 2658-2669, 2014. (Regular Paper)

[J9] Q. Gao, L. Liu, G. Feng, Y. Wang, and J. Qiu, “Universal integral sliding-mode controllers based on T-S fuzzy models,” IEEE Transactions on Fuzzy Systems, vol. 22, no. 2, pp. 350-362, 2014. (Regular Paper)

[J10] Q. Gao, G. Feng, L. Liu, Y. Wang, and J. Qiu, “Robust H infinity control for stochastic T-S fuzzy systems via integral sliding-mode approach,” IEEE Transactions on Fuzzy Systems, vol. 22, no. 4, pp. 870-881, 2014. (Regular Paper)

2020-2021 STUDENTS ENROLLMENT：

We have several vacancies for postdoc/PhD students/Master students in the area of quantum AI and control theory. Students with strong background in mathematics/control theory are encouraged to apply! Knowledge in quantum mechanics is preferred but not an essential.

POSTDOC (1-2 open positions are available)

Applicants should have a PhD degree in control theory\applied mathematics\AI. Publication of papers in top journals like IEEE Transactions\Automatica is required. 

PhD (1 openning is available in 2021)

Applicants should have a PhD degree in control theory\applied mathematics\AI. Publication of papers in top journals like IEEE Transactions\Automatica is preferred. 

Master (2 opennings are available in 2021)

Applicants should have a Bachelor degree in control theory\applied mathematics\AI. 

Please make sure to investigate the research area of my group beforehand!