Aravinda Rao
I am a Research Fellow in the Department of Electrical and Electronic Engineering at The University of Melbourne and the Theme Coordinator of Internet of Things Sensors (Construction Tech) at Building 4.0 CRC. As a Senior Member of IEEE, I have focused my research on the fields of Computer Vision, Machine Learning, Deep Learning, and Artificial Intelligence, with a particular emphasis on real-world applications in several key industries.
Theme Coordinator - Building 4.0 CRC
Internet of Things Sensors (Construction Tech)
Leading digital innovation initiatives to transform the building industry through IoT sensors and smart technologies.
IEEE Senior Member
Recognized for significant contributions to the field of electrical and electronic engineering through research and professional service.
🎉 Recent News
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December 2024
Best Paper
DICTA 2024 CSIRO Medical Image Analysis Award
"Decoding Stroke Patterns: A Novel Deep Learning Approach to Atrial Fibrillation Risk Stratification"MohammadJavad Shokri, Nandakishor Desai, Aravinda S Rao, Angelos Sharobeam, Bernard Yan and Marimuthu Palaniswami
Research Focus
- Building and Construction Industry: Structural health monitoring using vision-based deep learning techniques, including automated crack detection in concrete and asphalt surfaces using convolutional neural networks and vision transformers.
- Healthcare and Rehabilitation: Development of wearable technologies for monitoring post-stroke motor recovery and rehabilitation, using accelerometer data and machine learning algorithms.
- Industry 4.0 and Smart Manufacturing: Network resource allocation and quality of experience optimization for Industry 4.0 applications.
- Urban Planning and Public Safety: Crowd behavior analysis through video analytics, including crowd density estimation and anomaly detection.