Zhujiang Wang
Associate Professor
Mechanical Engineering (Robotics) Program
Zhujiang Wang is an Associate Professor of Mechanical Engineering and Robotics program and Research Center for Science & Engineering in Health and Medicine (SEHM) since December 2021. He received both his B.Sc. and M.Sc. in Power Engineering and Engineering Thermophysics from Xi’an Jiaotong University and his Ph.D. in Mechanical Engineering from Texas A&M University (TAMU) in 2016. He worked as a postdoctoral researcher at the Department of Mechanical Engineering of TAMU and software engineer at SimInsights (USA) to develop virtual reality labs for training engineering students in the U.S. Before joining GTIIT, he was a postdoctoral fellow at the Faculty of Health Sciences in Ontario Tech University, conducting interdisciplinary projects in healthcare. Dr. Wang has a very broad interest in solid mechanics and collaborated and led many interdisciplinary projects in healthcare, mechatronics, computer graphics, rapid prototyping technology, and virtual reality throughout his career.
At GTIIT, his research group focus on interdisciplinary projects in healthcare and the related fundamental scientific problems, including but not limited to (1) automatic lightweight lattice structure generation, with the applications in 3D printed footwear for diabetics, splints, prosthesis/orthotics, and bone scaffolds, etc. (2) material properties of rubber-like materials and bio-materials, (3) (virtual reality-based) surgical simulations, and (4) medical cyber-physical system for diabetics.
- Hyperelasticity
- Virtual fields method
- Lattice structures design and optimization
- Rapid Prototyping
- Medical Devices and Simulations
Wang Z, Fratarcangeli M, Ruimi A, Srinivasa AR*. Real time simulation of inextensible surgical thread using a Kirchhoff rod model with force output for haptic feedback applications, International Journal of Solids and Structures. 2017 May 15;113–114:192–208.
Wang Z, Wang Z*, Ko W-H, Iquebal AS, Nguyen V, Kazerooni NA, et al. An autonomous laser kirigami method with low-cost real-time vision-based surface deformation feedback system. Int J Adv Manuf Technol, 2022 Jan, 118(5):1873-83.
Jiang M, Dai J, Dong G, Wang Z*. A comparative study of invariant-based hyperelastic models for silicone elastomers under biaxial deformation with the virtual fields method. Journal of the Mechanical Behavior of Biomedical Materials. 2022 Dec 1, 136:105522.
Jiang M, Du X, Srinivasa A, Xu J, Wang Z*. Reformulation of the virtual fields method using the variation of elastic energy for parameter identification of QR decomposition-based hyperelastic models. Acta Mechanica. 2023 Jun 25:1-9.
Jiang M, Xinwei Du, Wang Z*. Development of the variation-of-elastic-energy-based virtual fields method for parameter identification of incompressible and compressible hyperelastic materials, International Journal of Non-Linear Mechanics, 2023
Wang, Z., Srinivasa, A.R., Reddy, J.N.*, and Dubrowski, A, PIMesh: An automatic point cloud and unstructured mesh generation algorithm for meshless methods and finite element analysis – with applications in surgical simulations, International Journal for Numerical Methods in Biomedical Engineering, 2022