教育与工作经历

2004.09-2008.06 yl34511线路中心自动控制系 电气工程及其自动化 学士

2008.09-2010.08 yl34511线路中心 控制科学与工程 本直博

2010.09-2014.08 加拿大阿尔伯塔大学电气与计算机工程系 控制系统 博士

2014.12-2017.01 yl34511线路中心 副研究员

2017.02-2018.07 美国哈佛大学John A. Paulson工程与应用科学学院 (Harvard SEAS) 博士后

2018.02-2018.07 美国Sansum糖尿病研究中心 Adjunct Investigator

2018.07-至今 yl34511线路中心 教授、博士生导师

 

研究方向

复杂采样控制系统分析与设计（及在生物医学、机器人及工业过程中的应用），具体包括：

1. 神经形态机器学习与信号处理

2. 生理指标动态感知与闭环调控

3. 多机器人系统规划控制与调度

详细介绍参见个人网页：https://dshilab.github.io/dshi/

实验室研究工作注重先进控制及人工智能基础理论与机器人、临床医学应用需求相结合，基础理论与工程应用研究并重，与多所国际知名院校建立并长期保持了密切合作关系。欢迎对我们的研究方向感兴趣的博士后、博士生、硕士生和本科生申请者与我邮件联系。

近5年承担的科研项目

1. “面向可穿戴无创生理监测的主动采样感知与状态估计研究”，北京市杰出青年科学基金，项目负责人，2024-2027

2. “面向高原低氧预习服过程的弱感知学习与安全预测控制研究”，国家自然科学基金重点项目，项目负责人，2024-2028

3. “融合多源生理信息的糖尿病胰岛素剂量智能决策支持系统”，国家重点研发计划“战略性科技创新合作”重点专项项目，项目负责人，2023-2025

4. “面向神经形态感知的事件触发学习理论及在机器人系统中的应用”，国家自然科学基金委员会-香港研究资助局合作研究重点项目，项目负责人，2023-2027

5. “人工胰腺网络化智能系统事件触发预测控制”，国家自然科学基金（面上项目），项目负责人，2020-2023

6. “事件驱动下信息-物理融合系统最优状态估计理论与应用研究”，国家自然科学基金（青年项目），项目负责人，2016-2018

7. “人工胰岛智能系统事件触发自抗扰控制器设计与实现”，北京市自然科学基金（面上项目），项目负责人，2019-2021

代表性学术论文

[1] Deheng Cai, Wenjing Wu, Mariza Cescon, Wei Liu, Linong Ji, Dawei Shi*. "Data-enabled learning and control algorithms for intelligent glucose management: the state of the art," Annual Reviews in Control, 56, 100897, 2023.

[2] Xinhui Liu, Kaikai Zheng, Dawei Shi*, Tongwen Chen. "State estimation with event sensors: Observability analysis and multi-sensor fusion," SIAM Journal on Control and Optimization, accepted, 2023.

[3] Shilei Li, Dawei Shi*, Yunjiang Lou, Wuli Zou, Ling Shi. "Generalized multi-kernel maximum correntropy Kalman filter for disturbance estimation," IEEE Transactions on Automatic Control, accepted as Full Paper, 2023.

[4] Kaikai Zheng, Dawei Shi*, Yang Shi, Junzheng Wang. “Non-parametric event-triggered learning with applications to adaptive model predictive control,” IEEE Transactions on Automatic Control, 68(6), 3469-3484. (Full Paper)

[5] Kaikai Zheng, Dawei Shi*, Ling Shi, “Learning hidden Markov models for linear Gaussian systems with applications to event-based state estimation," Automatica, 128, 109560, June 2021. (Regular Paper)

[6] Meiqi Cheng, Dawei Shi*, Tongwen Chen. "Event-triggered smoothing for hidden Markov models: Risk-sensitive and MMSE results," Automatica, 134, 109933, 2021. (Regular Paper)

[7] Jiarao Huang, Dawei Shi* and Tongwen Chen. "Event-triggered robust state estimation for systems with unknown exogenous inputs," Automatica, 122, 109248, 2020. (Regular Paper)

[8] Jiarao Huang, Dawei Shi* and Tongwen Chen. “Robust event-triggered state estimation: A risk-sensitive approach," Automatica, 99, 253-265, Jan. 2019. (Regular Paper)

[9] Dawei Shi*, Tongwen Chen and Mohamed Darouach. “Event-based state estimation of linear dynamic systems with unknown exogenous inputs," Automatica, 69, pp. 275-288, 2016. (Regular Paper)

[10] Dawei Shi*, Robert J. Elliott and Tongwen Chen. “Event-based state estimation of discrete-state hidden Markov models," Automatica, 65, pp. 12-26, 2016. (Regular Paper)

[11] Dawei Shi*, Ziyang Guo, Karl H. Johansson and Ling Shi. “Causality countermeasures for anomaly detection in cyber physical systems," IEEE Transactions on Automatic Control, 63(2), 386-401, 2018. (Full Paper)

[12] Dawei Shi*, Robert J. Elliott and Tongwen Chen. “On finite-state stochastic modeling and secure estimation of cyber physical systems," IEEE Transactions on Automatic Control, 62(1), pp. 65-80, 2017. (Full Paper)

[13] Yue Cheng, Dawei Shi*, Tongwen Chen and Zhan Shu. “Optimal data scaling for principal component pursuit: A Lyapunov approach to convergence," IEEE Transactions on Automatic Control, 60(8), 2057-2071, 2015. (Full Paper)

[14] Dawei Shi*, Tongwen Chen and Ling Shi. “On set-valued Kalman filtering and its application to event-based state estimation," IEEE Transactions on Automatic Control, 60(5), 1275-1290, 2015. (Full Paper)

[15] 陈婧，史大威*，蔡德恒，王军政，朱玲玲. 数据驱动的间歇低氧训练贝叶斯优化决策方法，自动化学报，录用，2023.

[16] 史大威，蔡德恒，刘蔚，王军政，纪立农. 面向智能血糖管理的餐前胰岛素剂量贝叶斯学习优化方法，自动化学报，49(9), 1915-1927, 2023.

[17] 史大威，杨肖，蔡德恒，牟志宇，刘蔚，纪立农. 基于胰岛素基础率估计的人工胰腺系统自抗扰控制，自动化学报，47(5), 1043-1057, 2021.

[18] Jing Chen, Rong Xiao, Lei Wang, Lingling Zhu, Dawei Shi*. “Unveiling Interpretable Key Performance Indicators in Hypoxic Response: A System Identification Approach,” IEEE Transactions on Industrial Electronics, accepted, Dec. 7th, 2021.

[19] Jing Chen, Yuan Tian, Guangbo Zhang, Zhengtao Cao, Lingling Zhu*, Dawei Shi*. “IoT-Enabled Intelligent Dynamic Risk Assessment of Acute Mountain Sickness: The Role of Event-Triggered Signal Processing,” IEEE Transactions on Industrial Informatics, accepted, Dec 4, 2021. (Invited Paper)

[20] Dawei Shi, Eyal Dassau, Francis J. Doyle III*. “Adaptive zone model predictive control of artificial pancreas based on glucose- and velocity-dependent control penalties," IEEE Transactions on Biomedical Engineering, 66(4), 1045-1054, 2019.

[21] Ziyang Guo, Dawei Shi, Karl H. Johansson and Ling Shi. “Optimal linear cyber-attack on remote state estimation," IEEE Transactions on Control of Network Systems, 4(1), 4-13, 2017. (Special Issue Paper)

[22] Kaixin Cui, Jiliang Song, Lei Zhang, Ying Tao, Wei Liu, Dawei Shi*. "Event-triggered deep reinforcement learning for dynamic task scheduling in multi-satellite resource allocation," IEEE Transactions on Aerospace and Electronic Systems, 59(4), 3766-3777, 2022.

[23] Deheng Cai, Wei Liu, Wan Zhang, Junzheng Wang, Liang Peng, Linong Ji, Dawei Shi*. "An event-triggered active disturbance rejection approach to dual-hormonal artificial pancreas control," Control Engineering Practice, 129, 105338, 2022. (Feature Paper of Emerging Leaders in Control Engineering Practice)

[24] Xinhui Liu, Meiqi Cheng, Dawei Shi*, Ling Shi. "Towards event-based state estimation for neuromorphic event cameras," IEEE Transactions on Automatic Control, 68(7), 4281-4288, 2023.

[25] Dawei Shi, Eyal Dassau, Francis J. Doyle III. "Multivariate learning framework for long-term adaptation in the artificial pancreas," Bioengineering & Translational Medicine, 4(1), pp.61-74, 2019.

授权国家发明专利及出版专著

1. 史大威，朱玲玲，陈婧，田元，张广波，一种基于IHT动态性能评估AMS风险的系统，中国发明专利，专利号：ZL 202010264555.2，公布日：2021.04.13，申请日：2020-04-07。

2. 杨肖，史大威，何璐西，牟治宇，王军政，蔡德恒. 一种基于移动终端的人工胰腺硬件在环仿真测试方法，中国发明专利，专利号：ZL 201910345179.7，公布日:2020.07.30，申请日:2019.04.26。

3. 史大威，纪立农，蔡德恒，王军政，蔡晓凌，刘蔚. 一种基于血糖变化趋势的人工胰腺自适应自抗扰控制器，中国发明专利，专利号：ZL 201910222692.7，公布日：2019.07.12，申请日：2019.03.22.

4. Eyal Dassau, Francis J. Doyle III, Dawei Shi. “Adaptive zone model predictive control with a glucose and velocity dependent dynamic cost function for an artificial pancreas,” U.S. Patent 2021/0162127, Application No. 16/973,628, Publication Date: 06/03/2021, Filing Date: 06/19/2019.

5. Ning He, Dawei Shi, Michael Forbes, Johan Backstrom and Tongwen Chen. "Method and apparatus for robust tuning of model-based process controllers used with uncertain multiple-input, multiple-output (MIMO) processes," U.S. Patent 2016/0357162, Application No. 14/729,930, Publication Date: 12/08/2016, Filing Date: 06/03/2015.

6. Dawei Shi, Jiadong Wang, Michael Forbes, Johan Backstrom and Tongwen Chen. "Method and apparatus for specifying and visualizing robust tuning of model-based controllers," U.S. Patent 2015/0268645, Application No. 14/314,221, Publication Date: 09/24/2015, Filing Date: 06/25/2014.

专著

1. Dawei Shi, Yuan Huang, Junzheng Wang, and Ling Shi. “Event-Triggered Active Disturbance Rejection Control: Theory and Applications," Springer & 科学出版社, 2021. (ISBN: 978-981-16-0292-4)

2. Dawei Shi, Ling Shi and Tongwen Chen. ''Event-Based State Estimation: A Stochastic Perspective,'' Springer, 2016. (ISBN: 978-3-319-26604-6)

3. Dawei Shi, Sunil Deshpande, Eyal Dassau and Francis J. Doyle III, “Feedback control algorithms for automated glucose management in type 1 diabetes mellitus: The state of the art,” in The Artificial Pancreas: Current Situation and Future Directions (Chapter 1), R. S. Sanchez-Pena and D. R. Chernavvsky, Eds. Elsevier, 2019. （专著章节）

科研获奖

1. 2021年 中国指挥与控制学会青年科学家奖

2. 2016年 Automatica杰出审稿人

3. 2015年 张嗣瀛（CCDC）优秀青年论文提名奖

讲授课程

1. 复变函数与积分变换 32学时 本科必修课

2. 复杂采样控制系统分析与设计 32学时 研究生学位课

出版教材

1. 史大威，俞成浦，刘坤，于灏，复变函数及其在自动控制中的应用，yl34511线路中心出版社，2023. （ISBN: 978-7-5763-2939-1）

教学成果

人才培养：

1. Best Student Paper Award and Best Three-Minute Talk Award, 2021 IEEE International Conference on Industrial Cyber-Physical Systems (Victoria, Canada), 导师

2. 全国大学生数学建模竞赛二等奖（指导教师，2项），2021年

3. 美国大学生数学建模竞赛F奖（指导教师，1项），2020年

4. 全国大学生数学建模竞赛二等奖（指导教师，2项），2019年

5. 美国大学生数学建模竞赛H奖（指导教师，1项），2019年

6. 人工胰腺：精准血糖控制，北京市“挑战杯”三等奖（指导教师），2019年

7. BITAPS: 精准血糖控制系统，yl34511线路中心“世纪杯”特等奖，2019年

学术兼职

1. IEEE Transactions on Industrial Electronics, Associate Editor, June 14, 2021 - now

2. IEEE Control Systems Letters, Associate Editor, January 1, 2022 - now.

3. Control Engineering Practice, Member of Early Career Advisory Board, April 1, 2021- now.

4. IEEE/ASME Transactions on Mechatronics, Technical Editor, Dec. 2020 – now.

5. IEEE/ASME Transactions on Mechatronics (TMECH/AIM Emerging Topics), Guest Editor, Oct. 2020 – Oct. 2022.

6. IET Control Theory and Applications, Associate Editor, 2019 - now.

7. IEEE Control Systems Society Conference Editorial Board, Member, 2019-now.

8. IFAC Technical Committee on Stochastic Systems, Member, Nov 2021 -

9. IFAC Technical Committee on Biological and Medical Systems, Member, Dec 2021 -

10. 中国生理学会应用生理学专业委员会委员（2018.11至今）

11. 中国系统仿真学会智能物联系统建模与仿真专业委员会委员 （2015.12至今）

12. 中国自动化学会控制理论专业委员会网络化控制系统学组委员（2015.07至今）

13. 美国Mathematical Reviews评论员（2016.04至今）