IN SILICO UPPER EXTREMITY MODELLING AND SIMULATION
The broad goal of this program is to develop a computational framework for modelling shoulder function in both healthy people and those with shoulder dysfunction. This includes developing anatomical models of shoulder anatomy across the population, and models of bony and soft tissue mechanics in activities of daily life and after injury and surgery. These models will then be adapted for designing shoulder implants, planning shoulder surgeries, and clinical decision-making.
Dr Bart Bolsterlee is a mechanical and biomedical engineer with specific expertise in imaging and biomechanical modelling of the human musculoskeletal system. During his PhD he developed and evaluated tools for computational modelling of the human upper limb. As a postdoctoral researcher at NeuRA, he pioneered methods to reconstruct and quantify the three-dimensional architecture of human skeletal muscles from magnetic resonance and diffusion tensor imaging data.
Maria is a research fellow in the School of Mechanical, Medical and Process Engineering and a research engineer in the School of Electrical Engineering and Robotics, at the Queensland University of Technology. Her research is focused on advanced tissue recognition methods, such as deep learning techniques, for the automatic interpretation of medical imaging.
Maria is currently also a QUT PhD candidate in the Medical Robotics Group at the QUT, focusing on automatic image analysis to provide surgical guidance to autonomous robots in the framework of minimally invasive surgery. Prior to her PhD candidature, she received her BEng. in Engineering Sciences from the University of Rome Tor Vergata (Italy) in 2014 and MEng. in Biomechanical Engineering from the Technical University of Delft (The Netherlands) in 2016.
Jinshuai is a PhD student under the supervision of Prof. Yuantong Gu at QUT. He has finished his master by research degree at QUT, majoring in data-driven computational mechanics.
Currently, he is investigating the possibility of combination of deep learning techniques and computational mechanics for biomechanics applications. Jinshuai has been working on computational mechanics for many years. He has solid foundations for mechanics and good experiences in various computational methods.