刘思雨，女，1994年出生，中共党员，博士，校聘副教授,本硕博均毕业于江南大学，获自动化学士和控制科学与工程博士学位。2021-2023年赴加拿大University of Alberta（QS前100）进行博士公派联合培养2年。荣获2021年度江苏省高等学校科学技术研究成果奖（自然科学类）一等奖、博士国家奖学金，江南大学优秀毕业研究生、优秀博士学位论文。主持浙江省青年基金项目1项，江苏省研究生科研创新计划项目1项，江南大学优博培育基金。近五年在《Automatica》、《Journal of Process Control》、《International Journal of Robust and Nonlinear Control》、《ISA Transactions》、《Nonlinear Dynamics》等期刊上发表论文20余篇，其中第一作者发表论文17篇，SCI收录11篇，ESI高被引论文3篇，热点论文2篇。担任多个国际SCI期刊审稿人。

主要论文：

1.    Liu SY, Zhang X, Xu L, Ding F. Expectation-maximization algorithm for bilinear systems by using the Rauch-Tung-Striebel smoother. Automatica, 2022, 142, 110365. (控制领域顶刊，中科院二区Top).  

2.      Liu SY, Yin X, Liu J. Sensor network design for post-combustion CO2 capture plants: Computational efficiency and robustness. Journal of Process Control, 2023, 129, 103035. (过程控制领域顶刊，中科院二区). 

3.      Liu SY, Yin X, Pan Z, Liu J. A sensitivity-based approach to optimal sensor selection for process networks. Chemical Engineering Science, 2023, 278, 118901. (化工领域顶刊，中科院二区Top). 

4.   Liu SY, Wang YJ, Ding F, Alsaedi A, Hayat T. Joint iterative state and parameter estimation for bilinear systems with autoregressive noises via the data filtering. ISA Transactions, 2024, 147, 337-349. (中科院二区Top).

5.      Liu SY, Ding F, Yang E. Iterative state and parameter estimation algorithms for bilinear state-space systems by using the block matrix inversion and the hierarchical principle. Nonlinear Dynamics, 2021, 106(3), 2183-2202. (中科院二区). 

6.      Liu SY, Xie L, Xu L, Ding F, Alsaedi A, Hayat T. Two-stage gradient-based iterative algorithm for bilinear stochastic systems over the moving data window. Journal of the Franklin Institute, 2020, 357(15), 11021-11041. (中科院二区). 

7.      Liu SY, Ding F, Hayat T. Moving data window gradient-based iterative algorithm of combined parameter and state estimation for bilinear systems. International Journal of Robust and Nonlinear Control, 2020, 30(6), 2413-2429. (中科院二区). 

8.      Liu SY, Yin X, Liu J, Liu J, Ding F. Distributed simultaneous state and parameter estimation of nonlinear systems. Chemical Engineering Research and Design, 2022, 181, 74-86. 

9.    Liu SY, Zhang Y, Xu L, Ding F, Alsaedi A, Hayat T. Extended gradient-based iterative algorithm for bilinear state-space systems with moving average noises by using the filtering technique. International Journal of Control Automation and Systems, 2021, 19(4), 1597-1606. 

10.    Liu SY, Ding F, Xu L, Hayat T. Hierarchical principle-based iterative parameter estimation algorithm for dual-frequency signals. Circuits Systems and Signal Processing, 2019, 38(7), 3251-3268. 

11.   Liu SY, Zhang Y, Ding F, Alsaedi A, Hayat T. Three-stage least squares-based iterative estimation algorithms for bilinear state-space systems based on the bilinear state estimator. International Journal of Adaptive Control and Signal Processing, 2020, 34(10), 1501-1518.

12.   Liu SY, Xu L, Ding F. Iterative parameter estimation algorithms for dual-frequency signal models. Algorithms, 2017, 10(4), 118.

会议论文：

13.   Liu SY, Zhang X, Pan ZC, Yin XY, Liu JF. State estimation of a carbon capture process through POD model reduction and neural network approximation. IFAC PapersOnLine, 58, 14, 688-693, 2024.

14.   Liu SY, Yin X, Liu J. Sensor placement for post-combustion CO2 capture plants. 2023 American Control Conference (ACC). 3454-3459, 2023.

15.   Liu SY, Yin X, Liu J. Simultaneous state and parameter estimation of not fully measured systems: a distributed approach. IFAC-PapersOnLine, 55, 7, 1-6, 2022.

16.   Liu SY, Yin X, Liu J. Sensor placement for wastewater treatment plants: a computationally efficient algorithm. 2022 IEEE International Symposium on Advanced Control of Industrial Processes (AdCONIP), 228-233, 2022.

17.   Liu SY, Song G, Ding F. An iterative algorithm for dual-frequency signals with unknown frequencies and amplitudes. 2018 10th International Conference on Modelling, Identification and Control (ICMIC), 1-6, 2018.