Graduate Consulting Engineer
Alex Fang is a recent PhD graduate in Biomechanics from the University of Melbourne. His research focused on the integration of wearable sensors and artificial intelligence for measurement and modelling of human motion. He has developed and validated algorithms to measure human joint motion in real-time and evaluate muscle and joint loading. These research outcomes are being utilized in Defence and Australian Research Council (ARC) projects. Alex works closely with senior consulting engineers and ergonomists on injury investigation and provides engineering design solutions.
Some examples of projects Alex has helped deliver include:
- Development of a digital twin platform to visualize and classify activities of daily living in home settings, with applications in aged care facilities to enhance the safety and well-being of the elderly.
- Evaluating shoulder muscle and joint loading using wearable sensors and musculoskeletal models.
- Operation of the CAREN lab (Computer-Assisted Rehabilitation Environment), where he demonstrated state-of-the-art motion analysis technologies to students, researchers, and international delegations.
- Mentoring Master’s students on Capstone projects, including converting wearable sensor data into real-time joint motion of the user on mobile devices.
- Contributing to the design of a controllable bionic arm to educate students on material failure and rigid-body dynamics.
Awards and Achievements
- 2023: FEIT Excellence Award in Teaching Programs – the University of Melbourne
Memberships, Societies and Associations
In his spare time, Alex enjoys black-and-white street photography, exploring new cafes, bakeries, and restaurants with his partner, and staying fit. Finally, with an interest in old cars he fits into the Dohrmann Consulting team very well.