Hongbo Wang (王洪波) obtained his B.E. in Precision Instrumentation and Machinery (with solid background in both mechanical and electronic engineering) at the University of Science and Technology of China (USTC), Hefei, China in 2010. Then, he became a PhD student in Professor Zhihua Feng’s group to study precision sensors and actuators at the same institute. During his PhD, he developed several state-of-the-art sensors and sensing systems, from low-power, high resolution magnetometers, and eddy-current displacement sensors with sub-nanometer resolution and low thermal drift, to a non-contact metal film thickness measuring system. In June 2015, he received his PhD from USTC and was awarded with the President’s "Special Prize" of the Chinese Academy of Sciences (CAS).
Hongbo Wang moved to England as a postdoctoral research fellow in June 2015, working on a Leverhulme Trust funded project on soft tactile sensors and sensing system optimization at the Surgical Technology Research Group (led by Dr Peter Culmer) in School of Mechanical Engineering, University of Leeds, UK. In this project, he developed tri-axis soft tactile sensors (MagOne) and sensing arrays (MagTrix) based on Hall-effect sensors, and soft inductive tactile sensors (SITS) based on Eddy-current effect.
In September 2017, he joined Dr Lucia Beccai’s Group (Artificial Touch in Soft Biorobotics) at Center for Micro-Biorobotics (@SSSA) of the Istituto Italiano di Tecnologia (IIT) in Pontedera (Pisa), Italy. His current research focuses on developing 2D/3D stretchable strain and tactile sensors, and the associate design, materials, fabrication, powering, and data interpretation technologies, enabling them to be directly integrated into next generation robots (e.g. soft robots) and smart healthcare systems.
Hongbo Wang is a grantee of the Marie Curie Individual Fellowship (MSCA-IF-EF-2017). Since September, 2018, he has been working on his fellowship project "3D Stretchable Inductive Tactile Sensors for Soft Artificial Touch (3D-SITS)".
This project has received funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 799773
© 2018 3D-SITS