Dr. Hailing Fu is a Professor and Doctoral Supervisor at the School of Automation at Beijing Institute of Technology. He received his BS in Mechanical Engineering and Automation from China University of Mining and Technology (2011), his MSc in Mechatronics Engineering from Xi’an Jiaotong University (2014) and his PhD in Electrical and Electronic Engineering from Imperial College London (2018). From October 2017 to August 2019, he was a postdoctoral fellow at the Department of Aeronautics, Imperial College London. He was awarded the Eryl Cadwallader Davies Prize from Imperial College London (2018), IOP Trusted Reviewer from the Institute of Physics (2020), Outstanding Reviewer Award, Mechanical Systems and Signal Processing (2021), Best Paper Award in PowerMEMS 2022 and Emerging Leader 2023 Nomination Award from the Journal of Micromechanics and Microengineering (2023). His research interests include distributed intelligent sensing theory and application, energy capture theory and device design and self-powered intelligent sensing theory and systems.
Dr. Hailing Fu is a Professor and Doctoral Supervisor at the School of Automation at Beijing Institute of Technology. He received his BS in Mechanical Engineering and Automation from China University of Mining and Technology (2011), his MSc in Mechatronics Engineering from Xi’an Jiaotong University (2014) and his PhD in Electrical and Electronic Engineering from Imperial College London (2018). From October 2017 to August 2019, he was a postdoctoral fellow at the Department of Aeronautics, Imperial College London. He was awarded the Eryl Cadwallader Davies Prize from Imperial College London (2018), IOP Trusted Reviewer from the Institute of Physics (2020), Outstanding Reviewer Award, Mechanical Systems and Signal Processing (2021), Best Paper Award in PowerMEMS 2022 and Emerging Leader 2023 Nomination Award from the Journal of Micromechanics and Microengineering (2023). His research interests include distributed intelligent sensing theory and application, energy capture theory and device design and self-powered intelligent sensing theory and systems.