Profile photo of Aravinda S. Rao

Aravinda Rao

I am a Research Fellow in the Department of Electrical and Electronic Engineering, The University of Melbourne, Australia. University Profile

I am also the Theme Coordinator of Internet of Things Sensors (Construction Tech) at Building 4.0 CRC and a Senior Member of the IEEE.

My research interests include Computer Vision, Machine Learning, Deep Learning, Internet of Things (IoT) and Industry 4.0.

Google Scholar, ORCID, LinkedIn

Email: aravinda dot rao (at) unimelb dot edu dot au

Research

I received my PhD (specializing in Computer Vision) from the Department of Electrical and Electronic Engineering, University of Melbourne. I joined the Department of Electrical and Electronic Engineering in 2016.

My current research focuses on designing intelligent systems and AI algorithms for real-time applications, including:

  • Performance of Real-time IoT Algorithms
  • Detecting Concrete Cracks from Images for Structural Health Monitoring (SHM)
  • Edge AI for Wearable Devices with Applications to Stroke and Rehabilitation

In the past, I have worked on a range of research projects, including:

  • Crowd behavior analysis from videos (count people, estimate the density of people, track people movement and their behavior, detect loitering behavior, detect crowd events
  • Camera-based assistive device to help navigate vision-affected people
  • Design and deployment of IoT testbed for urban canopy monitoring in Melbourne
  • Urban noise monitoring, water quality monitoring
  • Design and development of wearable device for Acute Stroke Care and Epilepsy

You can find further details from here: Research, Publications