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苏婷立 - Su Ting-li

作者: 计算机与信息工程学院  |  发布日期:2017-03-17 10:28:00  |  阅读次数:

苏婷立

部门:尊龙平台app登录自动化系

职称:副教授

教育背景: 2003-2007 北京理工大学获工学学士学位

               2007-2013 北京理工大学获工学博士学位

      2009-2012 英国布里斯托大学访问学习

主讲课程:微机原理、单片机技术、计算机通信与网络

研究方向:数据分析,状态估计与信息融合

主要学术成果:SCI/EI检索论文十余篇,发明专利两项,参与撰写中英文专著各一部。

联系方式:sutingli@btbu.fengxuelengku.com

 

Name: Tingli Su

Job Title: Associate Professor

Affiliation: Department of Automation, School of Computer and Information Engineering, Beijing Technology and Business University, China 

Email: sutingli@btbu.fengxuelengku.com

Website: 

https://cn.linkedin.com/in/tingli-su-5a552914

https://www.researchgate.net/profile/Tingli_Su

 

Teaching Courses:

Undergraduate:

Microcomputer Principles, Principle and Application of Single Chip Microprocessor, Computer Communication and Networks

 

Postgraduates (International Students):

Advanced Computer Networks, Intelligent Control Technology.

 

Dr. Su Ting-li received her B.E. degree in Mechatronic Engineering and the Ph.D. degree in the direction of Control Science and Engineering from Beijing Institute of Technology, Beijing, China, in 2007 and 2013. During the period of 2009.10-2012.9, she had a total of 2 years and a half working as an academic collaborator in University of Bristol, U.K. and finished most of her Ph.D. research there.

Since 2013 she has been with School of Computer and Information Engineering, Beijing Technology and Business University as a Lecturer, and was promoted to be the Associate Professor in October, 2018. Her research interests include multi-sensor fusion, statistical signal processing, robust filtering, Bayesian theory, target tracking and dynamic analysis. In particular, her present major interest is multi-sensor fusion, Bayesian estimation and big data tendency analysis.

Su is now the leading member of the intelligent cognitive and data analysis research center of Beijing Technology and Business University. She has published over 10 papers related to her research direction. 

 

Education

Sep 2007 – June 2013

Beijing Institute of Technology

PhD, Research direction: control theory and control engineering

Beijing, China

Oct 2009 – Sep 2012

University of Bristol

Academic collaborator, Control theory and control engineering

Bristol, United Kingdom

Sep 2003 – July 2007

Beijing Institute of Technology

Bachelor of Technology, Mechatronic Engineering

Beijing, China

Research Experience

March 2016 – Now

Member of Active Cognition and Intelligence Analysis Center

Beijing Technology and Business University, School of Computer and Information Engineering

Beijing, China

Skills & Activities

Skills

Kalman Filtering, Bayesian Analysis, MATLAB Simulation, Navigation, Automation & Robotics, Sensor Fusion, System Dynamics Modeling, Parameter Identification, Tracking, Data Fusion, INS, Estimation, Control Systems Engineering

Languages

Chinese, English

Interests

reading

Book

Xuebo Jin, Tingli Su, Beibei Miao, Chao Dou. Kalman Filter – applied research. 12/2018, Science Press.

Stefano Longo, Tingli Su, Guido Herrmann, Phil Barber: Optimal and Robust Scheduling for Networked Control Systems. 01/2013; CRC Press.

Selected Publications

[1] Binbin Wang, Tingli Su*, Xuebo Jin, Jianlei Kong, and Yuting Bai, “3D Reconstruction of Pedestrian Trajectory with Moving Direction Learning and Optimal Gait Recognition,” Complexity, vol. 2018, Article ID 8735846, 10 pages, 2018.

[2] Fafa Wang, Tingli Su*, Xuebo Jin, Jianlei Kong, et. al. Indoor tracking by RFID fused with IMU data. Asian Journal of Control, 2019, 21(2), pp. 1–10.

[3] Shenglun Yi, Xuebo JinTingli Su*, Jianlei Kong, et.al. Online Denoising Based on the Second-Order Adaptive Statistics Model, Sensors, 2017, 17(7), Article ID 1668.

[4] Tingli Su*, Shenglun Yi, Xuebo Jin, Jianlei Kong. An improved online denoising algorithm based on the adaptive noise covariance, Lecture Notes in Electrical Engineering, 2018, v 467, 119-132.

[5] Shengkai Liu, Tingli Su*, Binbin Wang, et.al. Pedestrian indoor navigation using foot-mounted IMU with multi-sensor data fusionInt. J. Modelling, Identification and Control, 2018, 30(4), 261-272.

[6] Tingli Su, Stefano Longo, Guido Herrmann, Phil Barber: Computation of an optimal communication schedule in a nonlinear networked control system using sum-of-squares. Systems & Control Letters 2012, 61(3-3).