Contact Dr Yifan Zhao

Areas of expertise

Background

Dr Yifan Zhao received his PhD degree from the University of Sheffield in 2007. He also has MSc and BEng degrees from the Beijing Institute of Technology. Before joining in Cranfield in 2013, Yifan worked as a Research Fellow at the University of Sheffield, where his research activities focused on nonlinear signal processing and analysis for complex system and its cross-disciplinary applications in medical, climatic and industry areas.

Research opportunity

The Artificial Intelligence enabled Anomaly Detection research group currently has 6 research staff,10 PhD students and 5 MSc students. It has the following open PhD opportunities:
1. Development of a thermography-based Intelligent materials characterisation system
2. Early diagnosis of dementia based on EEG data using artificial intelligence approaches
3. Correlation and causality detection using nonlinear system identification methods
4. Development of driver behavior monitoring system for future autonomous vehicles
5. Digital Twin for predictive active thermography
6. Brain-Machine Interface for manufacturing
7. Medical image analysis using artificial intelligence approaches
8. Image quality improvement using deep learning

Current activities


Dr Zhao has over 15 years’ experience on theory development of nonlinear system identification of Complex Systems, correlation and causality, spatio-temporal systems, computer vision, and general image and signal processing. Currently, he is leading a research group focusing on Artificial Intelligence enabled Anomaly Detection (AIAD), including both theoretical development and applications across  Digital Manufacturing, Transport, Healthcare, Construction and Communication sectors. 
His key research areas are: 
  • Health monitoring of complex systems
  • Non-destructive Testing (e.g. Active Thermography)
  • Computer vision in automated vehicles 
  • EEG/EMG/fMRI signal analysis 
  • Correlation and causality 
  • Image and video Super Resolution 
  • Medical image processing
Current Research Grant:

  • PI, Innovate UK, "The Learning Camera" (Ref: 22994), £274 K, 2018-2019
  • PI, Lloyd Registration Foundation, “Prototype development of a Real-time Electronic Counterfeit Batch Inspection Technique (RECBIT)”, GA 100113, £250 K, 2018-2020
  • Co-I, EPSRC, “Distributed Intelligent Ultrasound Imaging System for Secure in-community Diagnostics (SecureUltrasound)”, EP/R013950/1, £1 M, 2018-2021
  • Co-I, Jaguar Land Rover and EPSRC, "TASCC: Driver-Cognition-Oriented Optimal Control Authority Shifting for Adaptive Automated Driving (CogShift)", EP/N012089/1, £2 M, 2015-2019
  • Academic Supervisor, KTP with iDirect, “Anomaly detection of satellite architectures”, £130 K, 2017-2019
  • Co-I, BAE Systems, PhD project “Process monitoring and control for Wire + Arc Additive Manufacture”, £100 K, 2016-2019

Clients

  • Jaguar Land Rover
  • BAE Systems 
  • NHS
  • BAM Nuttall Ltd
  • IOTIC LABS
  • ITA Labs 
  • Anti Counter Feiting Forum
  • iDirect

Publications

Articles In Journals

Conference Papers

Books