苏婷立
部门：北京工商大学计算机与信息工程学院自动化系
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.edu.cn
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.edu.cn
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-lireceived 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 **, 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 Jin，Tingli 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 fusion，Int. 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).
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