Tingli Su

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-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:

Research Experience

Skills & Activities

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 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).