Shanaka Ramesh Gunasekara

Shanaka Ramesh Gunasekara

Postdoctoral Researcher

RMIT University, Melbourne, 3000 Australia

B.Sc.Eng (Hons) · MIEEE (US) · AMIE (SL)

I am a Computer Vision Scientist and Engineer at RMIT, where I develop computer vision and AI-based solutions to address real-world industry challenges.

I completed my PhD in Computer Science and Engineering at the Advanced Multimedia Research Lab, University of Wollongong, Australia, under the supervision of Prof. Wanqing Li.

My doctoral research focused on spatiotemporal representation learning for human motion analysis using 3D skeleton sequences, with applications in human action recognition and person identification. I have worked on projects involving Convolutional Neural Networks (CNNs), Graph Convolutional Networks (GCNs), Transformers, and Generative AI, including diffusion models for motion analysis.

Prior to my PhD, I worked as a Research Engineer at the Department of Electrical and Electronic Engineering at the University of Peradeniya, Sri Lanka, where I also completed my B.Sc.Eng. (Hons) in Electrical and Electronic Engineering in 2019. My work there covered medical image analysis, low-light object detection, and control systems for robotic manipulators.

📰 News

  • Apr 2026 Graduated with a PhD in Computer Science.
  • Sep 2025 Started a postdoctoral research position at the Royal Melbourne Institute of Technology (RMIT), Melbourne, Australia.
  • Dec 2023 Presented a papers at DICTA 2023

🧩 Skills & interests

🧠 Computer vision & ML

  • Spatial temporal representation learning
  • Human motion analysis
  • Graph convolutional networks
  • Self-supervised learning
  • Diffusion models
  • Generative models
  • Multi-modal learning
  • Image & video processing
  • Deep learning

🤖 Robotics & control

  • Edge AI and embedded systems for robot manipulations
  • Mathematical modelling
  • Signal processing

🛠️ Tools

  • PyTorch
  • Python
  • C++
  • MATLAB & Simulink
  • YOLO / Darknet
  • Jetson / Raspberry Pi

At a glance

11

Peer-reviewed papers

3 journal, 8 conference. See all.

8

Research projects

Computer vision, medical imaging, robotics. See all.

Champions, IEEE R10 Humanitarian Robotics Challenge 2018

Funded by IEEE SIGHT and NVIDIA

The elephant–train collision prevention system was supported by IEEE SIGHT (RAS) and the NVIDIA Applied Research Accelerator Program.

📬 Contact

Email

Phone

+61 421 452 450

Address

Building 57, Mechanical and Manufacturing Engineering, School of Engineering, RMIT, Melbourne, 3000 Australia