DR Aravinda Sridhara Rao

DR Aravinda Sridhara Rao


  • Computer Vision
  • Internet of Things
  • Machine Learning



  • Dr Aravinda Sridhara Rao is a Postdoctoral Research Fellow since 2016, in the Department of Electrical and Electronic Engineering. He received his PhD degree (in Computer Vision) from the Department of Electrical and Electronic Engineering, The University of Melbourne, in 2016.

    His PhD focused on developing automated crowd behaviour analysis framework for crowded scenarios from networked cameras using unsupervised and semi-supervised learning for providing real-time video surveillance and analytics. The framework was developed considering several cameras across the cities deployed for public safety and surveillance. His work is applicable to wide-ranging crowd monitoring and video surveillance applications, including crowd density estimation, people counting, people tracking, detecting suspicious individuals and overall crowd behaviour.

    His current work focuses on (1) Detecting Anomalies in Videos, (2) Detecting Patterns in Neuroimages, (3) Modelling Healthcare Data Using AI, (4) IoT Sensors in Building Energy Management and other.

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

    For more information on research activities, visit his homepage.



Member of

  • Institute of Electrical and Electronics Engineering (IEEE). Member 2016 - 2019
  • Institute of Electrical and Electronics Engineering (IEEE). Graduate Student 2009 - 2015


Selected publications


Education and training

  • PhD, University of Melbourne 2016
  • M.E., Deakin University 2010
  • B.E., Visvesvaraya Technological University 2007

Awards and honors

  • Network Ten Allan Williamson Information and Communication Technology (ICT) Skills Award, Network Ten, 2010


Available for supervision

  • Y

Supervision Statement

  • Areas of interest:
    • Computer Vision
    • Machine Learning
    • Deep Learning
    • Internet of Things