Shanelle Tennekoon received her B.Sc. degree in Electrical and Electronic Engineering from the Sri Lanka Institute of Information Technology (SLIIT Uni), Sri Lanka, in 2023. She was awarded the Best Performance Award for her bachelor of science with Honors degree in Electrical and Electronic Engineering. In 2023, she worked as an Assistant Lecturer at the Electrical and Electronic Engineering Department at SLIIT Uni, Sri Lanka. She is currently pursuing her Ph.D. at Curtin University, Australia, in the School of Electrical Engineering, Computing and Mathematical Sciences. Her research interests include assistive technology, machine learning, artificial intelligence, and neural networks. She authored a paper titled "Object Recognition and Assistance System for Visually Impaired People", which won the Best Paper Award at the 2nd SLIIT International Conference on Engineering and Technology, Sri Lanka, in 2023. She is a Professional Graduate Member of Engineers Australia and a Student Member of IEEE.

Nushara Wedasingha received his B.Sc. (Hons) in Electrical and Electronics Engineering in 2020, and he received his Ph.D in Software Engineering in 2024.  Dr. Nushara Wedasingha is currently working as a lecturer and researcher at the Department of Electrical and Electronics Engineering at the Faculty of Engineering, SLIIT. His research focuses on developing AI-based tools to identify and analyze behavioral disorders and diseases, which can also be used as supportive tools for early patient screening and intervention validation. He was previously part of the CSAAT (Culturally Sensitive Autism Assessment Tool) group, where he developed AI models to identify anomalous repetitive movements in children. These models have been instrumental in helping medical professionals monitor and validate the progress of their interventions. Currently, Dr. Nushara is collaborating with the University of Oxford and the University of Applied Sciences and Arts of Southern Switzerland to develop a tool for quantifying the severity of Parkinson's disease.

Anuradhi Welhenge is a Lecturer at the School of Electrical Engineering, Computing and Mathematical Sciences at Curtin University, Australia. She received her B.Sc in Electronics Engineering from the Asian Institute of Technology, Thailand; Master of Biomedical Engineering from the University of New South Wales, Australia; and Doctorate of Engineering in Telecommunications from the Asian Institute of Technology, Thailand. In the past, she has worked as an intern at the data science research lab of NEC Central Research Laboratories in Japan. Her research interests include internet of things, cyber physical systems, body sensor networks, fog computing, cloud computing, and deep learning.

Nimsiri Abhayasinghe received his B.Sc. in Engineering (Hons) and M.Sc. degrees in Electronic and Telecommunication Engineering from the University of Moratuwa, Sri Lanka, in 2003 and 2007. He obtained his Ph.D. degree in Computer Engineering at Curtin University, Australia. From 1997 to 1998, he served as a Junior Research Assistant at the Department of Physics of the University of Peradeniya, Sri Lanka. From 2005 to 2010, he was a Lecturer at the University of Moratuwa, Sri Lanka. From 2010 to 2020, he worked as a Senior Lecturer at the Department of Electrical and Computer Engineering, Sri Lanka Institute of Information Technology, Sri Lanka, and he became an Assistant Professor in 2020. He is currently a Senior Lecturer in the School of Electrical Engineering, Computing and Mathematical Sciences at Curtin University, Australia. He has published more than 15 peer-reviewed papers in human gait analysis and inertial navigation areas. His research interests include rehabilitation engineering, indoor positioning and navigation, human gait analysis, and inertial navigation. He has been a member of IEEE since 2016.

Iain Murray, John Curtin Distinguished Professor, received his B.Eng (Hons) in Computer Systems Engineering in 1998 and his Ph.D. titled “Instructional eLearning Technologies for the Vision Impaired” in 2008, both at Curtin University. He has worked in the field of assistive technology for nearly 35 years, both as a practitioner and researcher. Currently employed at the School of Electrical Engineering, Computing and Mathematical Sciences, his research interest include learning environments for people with vision impairment, embedded sensors in health applications, the Internet of Things, and assistive technology. He founded the “Cisco Academy for the Vision Impaired” in 2002 to deliver ICT training to vision impaired people globally. He has supervised 19 research students’ completions and published over 140 peer-reviewed articles in the fields of IoT, engineering education, and assistive technology. He is a Member of the Order of Australia, Fellow of the Australian Computer Society, Curtin Academy Fellow, and a senior member of the IEEE.