
Creates a welcoming and inclusive environment.
Helps students see their full potential.
Makes learning feel effortless and fun.
Creates a collaborative and inclusive space.
Always clear, concise, and insightful.
Dr. Anuradhi Welhenge serves as a Lecturer in the School of Electrical Engineering, Computing and Mathematical Sciences at Curtin University, within the Faculty of Science and Engineering. She is recognized as an early career researcher in the domains of Biomedical Engineering, Embedded Systems, and Internet of Things. Anuradhi earned her BSc in Electronics Engineering from the Asian Institute of Technology in Thailand, along with a Master of Biomedical Engineering and a PhD from the same institution. Her academic and research pursuits focus on advancing healthcare technologies through secure IoT solutions, including medical IoT security, fog computing for healthcare, signal processing, machine learning, deep learning applications for object detection and emotion recognition, human activity classification, vital signs monitoring such as blood pressure estimation from photoplethysmography signals, and assistive technologies like smart robotic wheelchairs for navigation and obstacle avoidance. She holds professional qualifications as a Member of Engineers Australia (MIEAust) and Chartered Professional Engineer (CPEng).
With over 20 publications and more than 200 citations, Dr. Welhenge has made significant contributions to her field. Key publications include 'Security and Privacy Issues in Medical Internet of Things: Overview, Countermeasures, Challenges and Future Directions' (2021), 'Privacy Dilemma in Healthcare: A Review on Privacy Preserving Medical Internet of Things' (2021), 'Blood Pressure Estimation from Photoplethysmography with Motion Artifacts Using Long Short Term Memory Network' (2022), 'Deep Learning Based Breast Cancer Detection System Using Fog Computing' (2022), 'A Multilayered Hybrid Access Control Model for Cloud-Enabled Medical Internet of Things' (2022), 'Advancing Object Detection: A Narrative Review of Evolving Techniques and Applications' (2025), and 'A Context-Aware Doorway Alignment and Depth Estimation Algorithm for Assistive Wheelchairs' (2025). Her accolades include the Best Conference Paper Award at the 2nd IEEE International Conference on Knowledge Innovation and being a finalist for the Data Science Pioneer Award in the Women of Colour in STEM Awards 2024. Dr. Welhenge supervises innovative student projects on virtual reality for balance rehabilitation and virtual tours of clinical sites, enhancing practical applications in healthcare and engineering education.
