Hailing Fu

Name: Fu Hailing Gender: Male Date of birth: 1988.3
Job Title: Associate Professor Job Title: Highest education: Doctor
Discipline Direction: Pattern Recognition and Intelligent System
Talent Program: National Youth Talent Office Location: Room 220, Building 6
Email:
hailing.fu@cnpigeon.com
Contact:
Address: Room 220, Building 6, Automation College, No.5 Zhongguancun South Street, Haidian District, Beijing
Type of Supervisor: Doctoral Supervisor

Research Direction
1. Distributed intelligent perception theory and application (wearable devices, structural health monitoring, etc.)
2. Energy capture theory and device design (nonlinear theory, smart materials and structures, etc.)
3. Self-powered intelligent sensing theory and system (energy management and storage, circuit design, energy balance analysis, etc.)

The research group has long-term recruitment of postdoc, PhD students and master's students. We welcome students who majored in automation, artificial intelligence, electrical and electronic engineering, mechanical and electronic engineering, mechanics and are committed to wireless intelligent sensing, distributed intelligent systems, self-powered sensing, energy capture and other related research to contact us. Students are expected to have strong theoretical modeling, design programming and hardware and device implementation ability, fluent English speaking and writing skills, studious, practical and willing to work. Graduates can recommend Imperial College London, Massachusetts Institute of Technology, University of Tokyo, National University of Singapore and other famous overseas universities to continue doctoral and postdoctoral research.

Education and Work Experience
2007.9-2011.7 China University of Mining and Technology Mechanical Engineering and Automation Bachelor

2011.9-2014.7 Master of Mechanical and Electronic Engineering, Xi 'an Jiaotong University

2014.9-2018.3 Imperial College, PhD in Electrical and Electronic Engineering

2017.10-2019.8 Postdoctoral Fellow, Department of Aviation, Imperial College London

2019.9-2023.01 Assistant Professor and PhD Supervisor, School of Electromechanical and Manufacturing Engineering, Loughborough University

2023.01- Now Visiting Scholar, Department of Aviation, Imperial College London

2023.01-Present Professor, PhD Supervisor, School of Automation, Beijing Institute of Technology

Education and Work Experience
2007.9-2011.7 China University of Mining and Technology Mechanical Engineering and Automation Bachelor

2011.9-2014.7 Master of Mechanical and Electronic Engineering, Xi 'an Jiaotong University

2014.9-2018.3 Imperial College, PhD in Electrical and Electronic Engineering

2017.10-2019.8 Postdoctoral Fellow, Department of Aviation, Imperial College London

2019.9-2023.01 Assistant Professor and PhD Supervisor, School of Electromechanical and Manufacturing Engineering, Loughborough University

2023.01- Now Visiting Scholar, Department of Aviation, Imperial College London

2023.01-Present Professor, PhD Supervisor, School of Automation, Beijing Institute of Technology

Scientific Research Awards
1. Emerging Leader 2023 Nomination Award, Journal of Micromechanics and Microengineering, 2023.
2. Best Paper Award, 3rd place in Europe, Middle East, Africa, PowerMEMS 2022, USA.
3. Outstanding Reviewer Award, Mechanical Systems and Signal Processing, 2021.
4. IOP Trusted Reviewer (IOP Trusted Reviewer Award), British Physical Society, 2020.
5. Eryl Cadwallader Davies prize, EEE Best Doctoral Thesis Award, Imperial College London, 2018
Teaching Results, published textbooks and teaching Results
Teaching Achievements
Fellow of Higher Education Academy, UK, 2022.