Extremely Low Frequency (ELF) based Sensing and AI/ML-based Identification of Micro-UAS
A passive detection system capable of identifying Drones through the characteristic ELF magnetic signatures generated by drone motors.
A passive detection system capable of identifying Drones through the characteristic ELF magnetic signatures generated by drone motors.
SolarMamba is a multi-modal deep learning architecture for intra-hour solar irradiance forecasting that adaptively fuses all-sky imagery with meteorological time-series through LadderFusion — a hierarchical, externally-conditioned channel gating mechanism that learns when to trust visual features based on atmospheric context.
A novel semantic segmentation methodology integrating RGB images with optical flow inputs for robust performance under adverse weather conditions, achieving 0.8034 mean IoU in fog, rain, and overcast scenarios.
Agent Based Modeling for Human-Animal Behavior and Interaction. Exploring Elephant and Baboon datasets for movement pattern analysis using machine learning and mathematical perspective.
Novel GAN framework denoises ELF electromagnetic signals from drone motors, outperforming traditional methods and boosting CNN detection accuracy by 24%.
A novel framework integrating cyclostationary signal processing with deep learning for detecting shaft misalignment in rotating machinery, achieving 96% accuracy using SCD-based CNN classification.
An AI-enabled radar detection system utilizing CST-simulated RCS signatures and deep learning to identify body-worn improvised explosive devices with 96% accuracy at standoff distances.
SoutheastCon 2024 [Published]
Contribution: Validation, Writing–Original Draft, Review & Editing
ResearchGate [Preprint]
Contribution: Conceptualization, Methodology, Formal analysis, Software, Validation, Writing – Original Draft, Review & Editing.
ResearchGate [Preprint]
Contribution: Conceptualization, Methodology, Formal analysis, Software, Validation, Writing – Original Draft, Review & Editing.
MERCon 2025, Moratuwa [Published]
🏆 Best Paper Award Nominee (Track: Computer Vision and Image processing)
Contribution: Conceptualization, Methodology, Formal analysis, Software, Validation, Writing – Original Draft, Review & Editing.
IEEE IECON 2025 [Published]
Contribution: Conceptualization, Methodology, Formal analysis, Software, Validation, Writing – Original Draft, Review & Editing.
IEEE 19th International Conference on Industrial and Information Systems (ICIIS) 2025 [Accepted]
Contribution: Conceptualization, Methodology, Formal analysis, Software, Validation, Writing – Original Draft.
IEEE Sensors Journal [Accepted]
Contribution: Conceptualization, Methodology, Formal analysis, Software, Validation, Writing – Original Draft, Review & Editing.
I presented my research paper virtually at IEEE SoutheastCon 2024, held on March 21-24, 2024 in Atlanta, Georgia, USA.
I conducted a virtual workshop on “How AI is Transforming Research Workflows” for the Electrical & Information Engineering Society at the University of Ruhuna on June 30, 2025, with over 70 participants attending live.
I presented my research paper at the 11th Moratuwa Engineering Research Conference (MERCon 2025), held on August 14-15, 2025 at the University of Moratuwa, Sri Lanka.
As a Research Assistant at the Multidisciplinary AI Research Center (MARC), University of Peradeniya, I volunteered at three AI outreach workshops in 2025, supporting professors and research assistants in delivering impactful sessions to students across Sri Lanka.
I participated in the 51st Annual Conference of the IEEE Industrial Electronics Society (IECON 2025), held from October 14-17, 2025 in Madrid, Spain.