Qiuchen (Bruce) Qian is a PhD Candidate in Systems and Algorithms Laboratory (SysAL), Dyson School of Design Engineering at Imperial College London, supervised by Dr. David E. Boyle. His research interests are general Cyber-Physical systems and Internet-of-Things applications, combinatorial optimization problems in UAV-assisted wireless rechargeable sensor network system and applied machine learning.

Selected Papers

• Q. Qian, A. Y. S. Pandiyan and D. E. Boyle, “Optimal Recharge Scheduler for Drone-to-Sensor Wireless Power Transfer,” in IEEE Access, vol. 9, pp. 59301-59312, 2021, doi: 10.1109/ACCESS.2021.3073076.

Scholarships/Awards

• 2021 - Graduation: CSC Scholarship
• 2017 & 2018: £1,500 for academic excellence @ University of Birmingham

Academic Background

• 2021 - 2025: PhD in Dyson School @ Imperial College London, UK
• 2019 – 2020: MSc in Applied Computational Science and Engineering @ Imperial College London, UK
• 2017 - 2019: BEng in Electronic and Electrical System Engineering @ University of Birmingham, UK
• 2015 - 2017: BEng in Electrical and Electronic Engineering @ Xi’an Jiaotong-Liverpool University, China