Shuangyi Wang
  • 224
    Citations

Personal profile

Research interests (short)

Medical robot, Mechatronics, Robotic ultrasound, Ultrasound imaging, Computer-assisted intervention, Computer-aided design, Medical device, 3D printing, Low-cost medicine, Telemedicine

Biographical details

Education and Research:

  • 2016 - 2019: Post-doctoral Research Associate, School of Biomedical Engineering and Imaging Sciences, King’s College London, UK 
  • 2013 - 2016: PhD in Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King’s College London, UK 
  • 2012 - 2013: BEng (Honours Degree) in Mechanical Engineering, School of Science and Engineering, University of Dundee, UK 
  • 2009 - 2013: BEng in Biomedical Engineering, School of Precision Instrument and Optoelectronics Engineering, Tianjin University, China

 

Short Biography:

Dr. Shuangyi Wang is a Post-doctoral Research Associate at School of Biomedical Engineering and Imaging Sciences (BMEIS), King's College London experienced in mechatronic design and medical robotics. He received his PhD from BMEIS, King's College London working on developing the world first image-guided robotic trans-oesophageal ultrasound system and has been subsequently working on building new extra-corporeal ultrasound robots. Since starting research in 2013, he has been actively involved in building bespoke medical robots and published more than 20 research papers on the topic of medical robotics. His current research intersts are ultrasound robots, computer-assisted interventions, and robotic-assisted diagnosis.      

 

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being

Education/Academic qualification

Biomedical Engineering, Doctor of Philosophy, Development of a Robotic Trans-oesophageal Ultrasound System and Its Application in Automatic Acquisition, School of Biomedical Engineering & Imaging Sciences (BMEIS), St Thomas' Hospital, King's College London, UK.

1 Oct 20131 Oct 2017

Award Date: 1 Oct 2017

Biomedical Engineering, Bachelor of Engineering, Tianjin University

1 Sept 20091 May 2013

Award Date: 1 May 2013

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