Yun Feng (馮運)

Yun Feng (馮運)

PhD student at department of SEEM

City University of Hong Kong

Biography

I am currently a postdoc research fellow with the National Engineering Laboratory for Robot Visual Perception & Control Technology at Hunan University.

Collaborators:

Interests

  • Fault Diagnosis
  • Computational Intelligence
  • Battery Management System
  • Distributed Parameter Systems

Education

  • PhD in Systems Engineering and Engineering Management, 2020

    City University of Hong Kong, Hong Kong, China

  • MS in Control Theory and Control Engineering, 2017

    Wuhan University, Wuhan, China

  • BE in Automation, 2014

    Wuhan University, Wuhan, China

Experience

 
 
 
 
 

Visiting Student

AKS Institute, University of Duisburg-Essen

Jul 2019 – Nov 2019 47057 Duisburg, Germany
Conducting research on fault diagnosis of distributed parameter systems under the supervision of Prof. Dr.-Ing. Steven X. Ding.

Publications

Quickly discover relevant content by filtering publications.

Dynamic Spatial-Independent-Component-Analysis-Based Abnormality Localization for Distributed Parameter Systems

In this work, a novel data-driven approach is proposed for abnormality localization of DPSs motivated by the spatial independent component analysis (SICA) used in functional Magnetic Resonance Imaging (fMRI).
PDF DOI

Abnormal Source Identification for Parabolic Distributed Parameter Systems

In this work, we make the first attempt to solve the interesting yet challenging problem, i.e., identification of spatio-temporal source with unknown shape function using the idea of adaptive observers.
PDF DOI

A Unified Framework of Epidemic Spreading Prediction by Empirical Mode Decomposition- Based Ensemble Learning Techniques

In this work, a unified framework is proposed by us to predict epidemic spreading scale on networks using ensemble learning techniques.
PDF DOI

Talks