Key Dates
Mar 18-19, 2023
Date
Sep 20, 2022
Abstract Submission Deadline
Mar  17, 2023
Online Registration Deadline
Mar 18, 2023
On-site Registration Date
Registration/注册

Huaping Wang

报告题目:

Microrobotic Biomanipulation for the Assembly of Bioartificial Microtissues

报告人:

Huaping Wang

所在单位:

Beijing Institute of Technology

Biography:


Huaping Wang is a member of Beijing Advanced Innovation Center for Intelligent Robots and Systems, Beijing Institute of Technology. He received the B.S. degree in Mechatronics in 2010 and the Ph. D degree in Mechanical Engineering in 2015 both from Beijing Institute of Technology, China. He has been a Full-time associate professor at Beijing Institute of Technology. His research focus is in the micro-nano robotics, micro-nano biotechnology and manufacturing. Inspired by the biological systems in nature, his research aims to develop bionic modules and biological substitutes replicating native organs and tissues through robotics and automation techniques. Huaping Wang has published more than 30 papers on international journals including Nature Communications and IEEE Transactions on Mechatronics, received 7 best paper awards/finalists in IEEE ICRA, IEEE ICIA, etc. He has been the editorial board member of several peer-reviewed journals such as Frontiers in Neurorobotics and Cyborg and Bionic Systems.



Abstract


As the units to replicate the architecture, morphology, and function of native tissues, bioartificial microtissues are spatially integrated by multi-type of cells and biomaterials, which has shown huge potential in drug development and regenerative medicine. Bioassembly as one of the most significant techniques for modular tissue engineering, has emerged to recreate 3D bioartificial modules through bottom-up assembly of multi-type cells and cellular microstructures. Our group focuses on the assembly of typical bioartificial modules including microvessels, liver lobules and neural tissues. Through the coordinated micromanipulation driven by multi-field forces, micromodules with tunable structural features can be spatially organized with defined distribution into an integrated hetero-architecture that retains the specific function and morphology of the native tissues. We anticipate that our method will regenerate complex tissues with physiological importance in future tissue engineering.