I work on machine learning under tight resource budgets.
I hold a B.Sc. (Hons) in Computer Science and Engineering from the University of Moratuwa, where I'm now a Graduate Research Assistant working on predictive monitoring. I was previously Lead Software Engineer at RoboticGen.
News
Aug 2026Paper "Patient Aware Contrastive Learning for Paroxysmal Atrial Fibrillation Detection Using RR Intervals" nominated for Best Paper at MERCon (IEEE).
Aug 2026Taking a career break from my role as Lead Software Engineer at RoboticGen to focus on building my research career.
Jul 2026Started as a Graduate Research Assistant at the University of Moratuwa, working on predictive maintenance.
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Jul 2026Served as a reviewer for the GlobalSouthAI Workshop at IJCAI 2026.
May 2026New workshop paper, "Patient-Aware Contrastive Learning...", accepted at the ICML GlobalSouthML Workshop.
Apr 2026Released the Bee Acoustic Dataset with Environmental Parameters on Zenodo.
Research Interests
Embedded Machine Learning (TinyML)
Neuromorphic Computing
Resource-Constrained Neural Network Optimization
Efficient Edge Inference
Selected Publications
Patient-Aware Contrastive Learning Preserves Per-Patient Structure in RR-Interval Representations
@inproceedings{niroshana2025ppg,
title = {Peak detection of {PPG} signals using fixed-point digital filters implemented in {VHDL}},
author = {Niroshana, H. K. Y. and Wimalasiri, W. M. and Hettiarachchi, C.},
booktitle = {Proceedings of the Engineering Research Unit (ERU) Conference},
year = {2025},
publisher = {Engineering Research Unit, University of Moratuwa},
doi = {10.31705/ERU.2025.38},
url = {https://dl.lib.uom.lk/items/73c999d1-3082-4812-94ae-30e70bf6d68a}
}