Indrajith Ekanayake

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I am a volunteer research assistant at MARC Lab, part of the Department of Computer Engineering at University of Peradeniya, where I work on 3D computer vision and HCI. My advisor is Prof. Roshan Godaliyadda.

From 2022 - 2024, I worked at Codification, as a Consultant Platform Engineer. Previously I have also worked Open University (FT), NSBM Green University (FT), University of Kelaniya (PT), and Informatics Institute of Technology (PT) as a Lecturer. I'm also a recipient of the Most Valuable Professional(MVP) Award from Microsoft.

I have an MSc in Big Data Analytics from Robert Gordon University, UK, where I did research with Dr Sameera Viswakula's lab. I have a BSc(1st) in Software Engineering from University of Plymouth, where I worked with Dr Rasika Ranaweera's lab.

Email  /  GitHub  /  Google Scholar  /  LinkedIn

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I'm interested in HCI, XR, data viz, computer vision, and distributed systems. In my work, I try to follow the philosophy of Augmenting Human Intellect as articulated by the late Dr. Douglas Engelbart.

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K8s pro sentinel: Extend secret security in kubernetes cluster

K. Gunathilake and I. Ekanayake International Conference on Information Technology Research (ICITR), 2024 DOI/PDF(arXiv)/code

We addressed the problem of cost-efficient authentication and authorization for Kubernetes secrets in private cloud environments.

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Reverse engineering piping and instrumentation drawings: A deep learning approach

I. Ekanayake, J. Warnakula, and S. Viswakula International Conference on Power, Instrumentation, Control and Computing (PICC), 2023 DOI/PDF (Paywalled)/PDF/Presentation/Presentation

Enables the extraction and summarization of text and symbols from piping and instrumentation drawings (P&ID).

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Augmented reality to improve motor functions and cognitive abilities of early childhood education

I. Ekanayake and R. Ranaweera ACM SIGCHI Winter School – South Asia, 2023

AR mobile application that enables children to play and learn musical instruments by experiencing and interacting with them. Concepts from cognitive psychology were used to ground this user study (i.e., constructivism, neuroconstructivism)

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Data visualization using augmented reality for education: A systematic review

I. Ekanayake and S. Gayanika International Conference on Business and Industrial Research (ICBIR), 2022 DOI/PDF (Paywalled)/PDF/Presentation

We applied the PRISMA framework and identified 30 state-of-the-art works in augmented reality for education. The insights and potential future directions identified in this review later influenced my undergraduate research.

Ongoing Research

Some of these works have been submitted to peer-reviewed conferences/journals and are awaiting acceptance, while others are still in progress.

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ARGO-SLSA: Software Supply Chain Security in Argo Workflows

M. Thariq and I. Ekanayake International Research Conference on Smart Computing and Systems Engineering (SCSE), 2025, submitted for approval. code

We proposed a novel architecture to make Argo Workflows SLSA compliance.

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Enhancing interpretation of engineering drawings: An ensemble approach for contextual summarization

I. Ekanayake and S. Viswakula International Conference on Document Analysis and Recognition (ICDAR), 2025, submitted for approval.

Multimodel contexual undestanding from Engineering Diagrams. This is an extension of one of my published work.

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Building a state-of-the-art human didactic action recognition model for the NTU120 dataset.

This is currently under 🚧. Our model is inspired by PoseConv3D and SAP

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EchonAR: “Bring Life to Static Visualizations”: Implementing Immersive Data Visualizations in Economics Classrooms.

This is currently under 🚧. Use Dynamic visualizations for the disciplines that heavily depend on temporal and spatial data.


Indexed Conference Proceedings
2024
2023
  • I. Ekanayake, J. Warnakula and S. Viswakula, “Reverse Engineering Piping and Instrumentation Drawings A Deep Learning Approach” 2023 International Conference on Power, Instrumentation, Control and Computing (PICC), Thrissur, India, 2023, pp. 1-4, doi: 10.1109/PICC57976.2023.10142454.
  • I. Ekanayake and R. Ranaweera, “Augmented reality to improve motor functions and cognitive abilities of early childhood education” ACM SIGCHI Winter School – South Asia, 2023, pp. 1-4.
2022
Conference Review Committees
2024
Invited Talks and Presentations

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Wants to invite me for a physical/ online session? I’m open for 1 session every month. Please fill out this Form to share your interest

2024
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