Embedded Files
Contact
Contact
E-mail:
t.c.li at usal.es or t.c.li at nwpu.edu.cn
Office:
Office:
Key Lab of Inform. Fusion Tech. Ministry of Education
NPU, Xi'an, China
Professor, School of Automation, Northwestern Polytechnical University, China.
I received two bachelor’s degrees from Harbin Engineering University, China, in 2008, the first Ph.D. degree from London South Bank University, U.K., in 2013 and the second Doctoral degree from Northwestern Polytechnical University (NPU), China, in 2015. I am currently a Professor with the School of Automation, NPU. Prior to this, I had been a Marie Sklodowska-Curie Postdoctoral Researcher with the BISITE Group, University of Salamanca, Spain, from June 2014 to the fall of 2018, and a Visiting Scholar with the Vienna University of Technology, Austria, in the summer of 2017 and in the fall of 2018.
I am the Area Editor of the Elsevier journal Information Fusion, and an Associate Editor of several peer-reviewing journals including FITEE, ADCAIJ and Electronics since 2018. I served as the General Chair of the 10th International Conference on Control, Automation and Information Sciences (ICCAIS 2021) and Session/Program Chair for conferences sponsored by IEEE such as FUSION, ICCAIS, DCAI since 2015.
My research interests cover the general areas of statistical signal processing and information fusion. They can be categorized as follows.
Distributed Information Fusion and Sensor Networking, Average Consensus for Positioning and Tracking. Particularly the multi-target probability hypothesis density arithmetic average (PHD-AA) fusion approach which is a renaissance of the classic linear opinion pooling in a particular space (the first order moment of various, homogeneous or heterogeneous , multi-target densities).
Distributed Information Fusion and Sensor Networking, Average Consensus for Positioning and Tracking. Particularly the multi-target probability hypothesis density arithmetic average (PHD-AA) fusion approach which is a renaissance of the classic linear opinion pooling in a particular space (the first order moment of various, homogeneous or heterogeneous , multi-target densities).
tool: Finite Set Statistics, Finite Mixture Model, Sequential Monte Carlo (particle filter) methods.
tool: Finite Set Statistics, Finite Mixture Model, Sequential Monte Carlo (particle filter) methods.
Data Mining/Learning-Driven Algorithms for Intelligent Multi-target Detection, Tracking, and Forecasting. Particularly the Deterministic-Stochastic-Decomposition(DSD)-based trajectory function of time (T-FoT) approach to direct estimation of the continuous-time target trajectory.
Data Mining/Learning-Driven Algorithms for Intelligent Multi-target Detection, Tracking, and Forecasting. Particularly the Deterministic-Stochastic-Decomposition(DSD)-based trajectory function of time (T-FoT) approach to direct estimation of the continuous-time target trajectory.
tool: Least square fitting, Polynomial fitting, Gaussian process, Student's t Process, Neural Process.
tool: Least square fitting, Polynomial fitting, Gaussian process, Student's t Process, Neural Process.
In simple words, Life (Learning, interacting, fusion & estimation) is all I work on!
Google Sites
Report abuse