Dr Aravinda Sridhara Rao is a Postdoctoral Research Fellow since 2016, in the Department of Electrical and Electronic Engineering.
Dr Rao received his B.E. degree in Electronics and Communication from Visvesvaraya Technological University, India, in 2006, the M.E. degree in Electronics and Telecommunications from Deakin University, Australia, in 2010. 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 behavior 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.
He introduced a novel nonlinear dimensionality reduction framework for analyzing large amounts of video data in a manner suitable for real-time video applications and analytics. His research 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 behavior. The models introduced are useful to monitor situations at public places, transport hubs, airports, traffic intersections, shopping malls, stadiums, sporting events, etc.
His research interests include Computer Vision, Machine Learning, Deep Learning, and Internet of Things (IoT).
For more information on research activities, visit his homepage.