I am currently working as a Research Fellow in the Department of Electrical and Electronic Engineering, The Univeristy of Melbourne, Australia. In 2016, I received my PhD in Electrical and Electronic Engineering (specializing in Computer Vision) from the Department of Electrical and Electronic Engineering, Univeristy of Melbourne.
My PhD focussed on creating new real-time video analytics framework for crowd behaviour analysis. People counting, crowd density estimation, detecting events in crowd, and identifing suspicious people were some of the outcomes from my PhD. The outcomes significantly contributed to automated video surveillance applications in public spaces (examples include surveillance in shopping malls, airports, transport hubs, sporting and music events). The project was supported by the Australian Research Council (ARC) Linkage Project (LP) - [LP100200430]. Project partners: Arup, Melbourne Cricket Club (MCC) and SenSen Networks.
Current Research Projects
- Deep Learning Frameworks for Real-time Crack Detection
- Deep Learning Techniques for Automated Biomedical Image Analysis
- Wearable Devices in Monitoring Actute Stroke and Rehabilitation
- Peformance Guarantees of Real-time Internet of Things
Current research interests
- Computer Vision
- Machine Learning
- Deep Learning
- Internet of Things
- Industry 4.0