Computer Vision based Solar Irradiance Forecasting
hybrid deep learning pipeline for very short-term solar irradiance forecasting, targeting a 20-minute prediction horizon.
Sitemap
A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Fusing Spectral Correlation Density Imaging with Deep Learning for Intelligent Fault Diagnosis in Rotating Machinery
Journal 1
{# fallback to citation string if authors array isn’t set #}Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3).
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GAN-Driven Signal Denoising and Enhancement for Robust Drone Motor Detection
IEEE IECON 2025
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Unveiling Misalignment Fault Severities: A Novel SCD-CNN Framework for Rotating Machinery
MERCon 2025
AI-Enabled RF-Sensing for Radar Detection of Body-Worn IEDs
SoutheastCon 2024
{# fallback to citation string if authors array isn’t set #}Recommended citation: K. Senarathne, A. Hatharasinghe, W. Seram, D. Herath, C. Seneviratne and A. Madanayake, "AI-Enabled RF-Sensing for Radar Detection of Body-Worn IEDs," SoutheastCon 2024, Atlanta, GA, USA, 2024, pp. 644-649, doi: 10.1109/SoutheastCon52093.2024.10500269. keywords: {Radio frequency;Deep learning;Solid modeling;Radar cross-sections;Three-dimensional displays;Software algorithms;Data models;Improvised Explosive Devices;Radar Cross Section;Computer Simulation Technology},
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Non-Invasive Accelerometric Based Systems for Fetal Movement Monitoring
A non-invasive, lightweight wearable capable of recording abdominal signals and detecting fetal kicks using an AI pipeline for continuous monitoring.
Posts
Future Blog Post
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Blog Post number 4
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Blog Post number 3
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Blog Post number 2
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Blog Post number 1
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
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.
SolarMamba: Adaptive Hierarchical Fusion of Vision State-Space Models and Temporal Networks (Ongoing)
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.
FlowSegModel: Weather-Resilient Semantic Segmentation
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 (Ongoing)
Agent Based Modeling for Human-Animal Behavior and Interaction. Exploring Elephant and Baboon datasets for movement pattern analysis using machine learning and mathematical perspective.
GAN-Driven Signal Denoising for Robust Drone Motor Detection
Novel GAN framework denoises ELF electromagnetic signals from drone motors, outperforming traditional methods and boosting CNN detection accuracy by 24%.
SCD-CNN Framework for Rotating Machinery Fault Detection
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.
AI-Enabled RF Radar for Body-Worn IED Detection
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.
publications
AI-Enabled RF-Sensing for Radar Detection of Body-Worn IEDs
SoutheastCon 2024 [Published]
Contribution: Validation, Writing–Original Draft, Review & Editing
Fusing Spectral Correlation Density Imaging with Deep Learning for Intelligent Fault Diagnosis in Rotating Machinery
ResearchGate [Preprint]
Contribution: Conceptualization, Methodology, Formal analysis, Software, Validation, Writing – Original Draft, Review & Editing.
Vision-Based Driver Drowsiness Monitoring: Comparative Analysis of YOLOv5-v11 Models
ResearchGate [Preprint]
Contribution: Conceptualization, Methodology, Formal analysis, Software, Validation, Writing – Original Draft, Review & Editing.
Unveiling Misalignment Fault Severities: A Novel SCD-CNN Framework for Rotating Machinery
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.
GAN-Driven Signal Denoising and Enhancement for Robust Drone Motor Detection
IEEE IECON 2025 [Published]
Contribution: Conceptualization, Methodology, Formal analysis, Software, Validation, Writing – Original Draft, Review & Editing.
FlowSegModel: Advancing Perception in Autonomous Driving Through Weather-Resilient Segmentation
IEEE 19th International Conference on Industrial and Information Systems (ICIIS) 2025 [Accepted]
Contribution: Conceptualization, Methodology, Formal analysis, Software, Validation, Writing – Original Draft.
ELF Passive Radio Sensing and AI-Perception of Micro-UAS
IEEE Sensors Journal [Accepted]
Contribution: Conceptualization, Methodology, Formal analysis, Software, Validation, Writing – Original Draft, Review & Editing.
talks
Virtual Presentation at IEEE SoutheastCon 2024, Georgia, USA
I presented my research paper virtually at IEEE SoutheastCon 2024, held on March 21-24, 2024 in Atlanta, Georgia, USA.
Virtual Session: How AI is Transforming Research Workflows
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.
Paper Presentation at MERCon 2025, Moratuwa, Sri Lanka
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.
MARC Volunteer Sessions 2025
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.
Paper Presentation at IEEE IECON 2025, Madrid, Spain
I participated in the 51st Annual Conference of the IEEE Industrial Electronics Society (IECON 2025), held from October 14-17, 2025 in Madrid, Spain.