Experience

NTRO - National Transport Research Organisation
• Australia
• Transportation, Logistics, Supply Chain and Storage
• 1 - 100 Employee
• Senior Technology Leader

  • Jul 2023 - Present


Monash University

• Australia
• Higher Education
• 700 & Above Employee

• Adjunct Research Fellow (Machine Learning and Computer Vision)

  • Jul 2023 - Present

• Research Fellow (Machine Learning and Computer Vision)

  • Mar 2022 - Jul 2023

  Working on the project titled "Development of on-bike technology to capture objective and subjective measures of cyclist safety" funded by Australian Federal Office of Road Safety.1. Simulating near-miss events involving cyclists using Unreal game engine and Carla simulator.2. Prototyping a hardware design solution to capture various on-bike sensor data (stereo-camera, IMU, GPS etc).3. Researching and formulating computer vision and machine learning solutions to classify near-miss events in the above created datasets Show less



RMIT University

• Australia
• Higher Education
• 700 & Above Employee

• Postdoctoral Research Fellow - Sensor Simulation

  • Aug 2020 - Mar 2022

  A collaboration between Rheinmetall Defence (RDA) – Australia, Defence Science and Technology Group, QUT University, and RMIT University to build next generation autonomous light air-transportable armoured fighting vehicle, the RDA Wiesel Autonomous Combat Vehicle – Wiesel ACW.1. Simulating sensors for autonomous vehicles in Unreal Engine and Airsim Simulator. These sensors include Baraja LiDAR, Nerian stereo-camera and IMU.2. Statistically validated the accuracy of simulated and real sensor measurements.3. Created a ROS node to stream sensor data in real-time. Show less

• Research Officer - Robotic Vision

  • May 2018 - Jul 2020

  Worked on four research and industry projects.Industry project 01: Built a prototype collision avoidance system for industrial mobile platforms, for the industry partner, Flexible Drive. Nvidia TX2 based protype used a modified Single-Shot Multi-Box detector (SSD) and stere depth estimation. System automatically generate reports on near-collision incidents. Provided a technical documentation.Industry project 02: Completed for Australian Meat Processing Cooperation, to classify beef items placed on a conveyor belt. Used deep learning-based image classification techniques to classify the beef items. The system is lightweight and was implemented on an Android phone with real-time classification capability.Research project 01: A deep learning-abased few-shot image classification algorithm was formulated using a PCA-like (Principal Component Analysis) autoencoder with a custom loss function.Research project 02: Graph neural network-based motion segmentation algorithm was formulated to segment camouflaged animals. Show less

• Tutor in Mechatronics

  • Jul 2016 - Sep 2019


Information Technology Center University of Peradeniya
• Temporary Lecturer

  • Jan 2014 - Jun 2014

University of Peradeniya
• Sri Lanka
• Higher Education
• 700 & Above Employee
• Demonstrator

  • Feb 2013 - Jan 2014

hSenid Mobile Solutions (Pvt) Ltd
• Telecommunications
• 100 - 200 Employee
• Software Engineer (Trainee)

  • Aug 2012 - Nov 2012