Deakin’s Networked Sensing and Biomedical Engineering Research Lab focuses on pioneering solutions in rehabilitation and assistive device design. We leverage expertise on the Internet of Things (IoT), embedded systems and human motion analytics to address complex biomedical challenges.
Our research focuses on creating integrated systems that convert biomedical data into actionable insights. We develop micro-electronic circuits and firmware, implement cloud-based data analytics and use machine learning to enhance IoT platforms. Our commitment includes ensuring seamless data sensing, retrieval and dissemination while maintaining high security and privacy standards.
We focus on advancing biomedical science and networking technologies to improve health and technology applications.
Our work in rehabilitation and assistive device design integrates IoT, system theory and human motion analysis. Using machine learning, we are developing self-diagnosis tools, real-time assessment technologies and improving diagnostic techniques for neurological disorders.
Our innovations enhance privacy, security and efficiency in wireless networks and IoT. We work on federated learning, blockchain security, edge intelligence and advancements in 5G and 6G technologies, ensuring effective data retrieval and dissemination.
Join us in advancing research in biomedical science and networking technologies. Pursue a research degree and contribute to impactful solutions in health and technology.
I have been fortunate to learn how to communicate science in the most innovative way, deliver quality research and take my research out of the lab and use it to positively impact the world.
Bipasha Kashyap
Data Science Research Engineer, Networked Sensing & Biomedical Engineering Research Lab
Our team is at the forefront of advancements in biomedical science and networking technologies.
Professor Pubudu N. Pathirana, director of Network Sensing and Biomedical Engineering, is a distinguished expert in engineering and technology. With a PhD from UWA and research fellowships at Oxford and Yale, his work spans missile guidance, vision-based navigation, swarm robotics and assistive devices, supported by over $5M in grants and numerous global publications
Our researchers lead projects addressing key challenges across various fields.
Ataxia, caused by cerebellar dysfunction, leads to uncoordinated movements and balance issues. We are developing advanced devices and algorithms to accurately measure and manage ataxia, aiming to support the development of new therapies. This project involves creating medical-grade software and data loggers for precise assessment.
FedXPro is a breakthrough algorithm designed to improve security in Federated Learning (FL) within IoT systems. It addresses vulnerabilities to malicious updates through enhanced client validation, resulting in better model accuracy and faster convergence.
