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Dr Fang Duan

Lecturer; Director of Intelligent Condition Monitoring and Asset Management Research Centre

  • Email:
  • Telephone:
    020 7815 7578
  • School/Division:
    Engineering / Electrical and Electronic Engineering
 

Dr Fang Duan is a Lecturer in School of Engineering as well as the Director of Intelligent Condition Monitoring and Asset Management Research Centre at London South Bank University.

Fang Duan received a Bachelor’s degree in telecommunication engineering from Southwest Jiaotong University, Chengdu, China in 2005 and a Masters and PhD degree in electrical engineering from the University of Adelaide, Australia in 2008 and 2015 respectively. She is currently a Lecturer in the School of Engineering as well as the Director of Intelligent Condition Monitoring and Asset Management Research Centre at London South Bank University. Her research interests include condition monitoring, fault diagnosis and prognosis, parameter estimation, global optimisation and asset management.

Fang’s experience in university teaching started in 2012 when she worked as a Teaching Assistant at University of Adelaide. Her role was to lead the tutorial classes, experiment and workshops.

At London South Bank University, Fang has taught six undergraduate courses since 2016. She had valuable chances to learn from experienced lecturers and different ways to keep the attention and motivation of students in different sized classes. In many of these classes, the knowledge levels and cultural background of students varied, which is an important aspect considered when course
materials are prepared and discussed.

Fang’s experience in university teaching started in 2012 when she worked as a Teaching Assistant at University of Adelaide. Her role was to lead the tutorial classes, experiment and workshops.

At London South Bank University, Fang has taught six undergraduate courses since 2016. She had valuable chances to learn from experienced lecturers and different ways to keep the attention and motivation of students in different sized classes. In many of these classes, the knowledge levels and cultural background of students varied, which is an important aspect considered when course
materials are prepared and discussed.

  • Condition monitoring and asset management of electrical and mechanical systems
  • Advanced algorithms for signal processing and data analytics for diagnosis and prognosis
  • Collaborative design and technical integration in industry-university projects
  • Multi-disciplinary expertise in electrical engineering, asset management, reliability engineering, and telecommunication engineering
  • Project management for multi-national projects, systems engineering concepts
View my publications at https://openresearch.lsbu.ac.uk/
  • IEEE Member
  • Reviewer of IEEE Transactions on Industrial Electronics
  • Reviewer of IEEE Transactions on Energy Conversion