I am a third-year Electrical and Electronic Engineering undergraduate at the University of Peradeniya, Sri Lanka. My current work focuses on remote-sensing computer vision, especially binary change detection, semantic segmentation, visual state-space models, and dataset preparation for disaster and wildfire analysis. I am interested in research internships in computer vision, remote sensing, signal processing, generative AI, and medical imaging.
Dineth Perera
Electrical & Electronic Engineering Undergraduate
Research interests in computer vision, remote sensing, signal processing, generative AI, and medical imaging.
University of PeradeniyaGPA: 3.70/4.00Sri LankaOpen to research internships
About
About
Research
Research & Current Work
Current work across remote-sensing change detection, dataset preparation, and signal-processing-based sensing.
Change Detection
Ongoing research · Remote-sensing change detection
An ongoing binary change detection project using MambaVision-based bi-temporal feature extraction and region-boundary refinement for remote-sensing imagery.
- Bi-temporal pre/post image input.
- Shared encoder design.
- Temporal difference features.
- Region and boundary-aware refinement.
- Evaluation on standard binary change detection datasets.
WildFire-S2
Dataset preparation · Wildfire remote sensing
A Sentinel-2 bi-temporal dataset preparation project for wildfire burned-area change detection using pre-fire images, post-fire images, and binary burned-area masks.
- Sentinel-2 imagery.
- Pre-fire / post-fire image pairs.
- Binary burned-area masks.
- Dataset organized for supervised change detection.
- Includes dataset documentation and loading examples.
DiTwa Disaster Tri-Temporal Dataset
Dataset preparation · Disaster remote sensing
An ongoing dataset preparation project for tri-temporal disaster analysis using imagery from multiple stages of a disaster event.
- T1: pre-disaster image.
- T2: post-disaster image.
- T3: on-disaster image.
- Intended for multi-temporal disaster change analysis.
- Metadata and dataset structure under preparation.
Publications
Publications & Manuscripts
Accepted and under-review research outputs.
A Controlled Benchmark of Visual State-Space Backbones with Domain-Shift and Boundary Analysis for Remote-Sensing Segmentation
ContributionContributed to experiments, benchmarking, analysis, and manuscript preparation.
SummaryControlled comparison of visual state-space backbones and baseline models for remote-sensing semantic segmentation.
Remote SensingSemantic SegmentationVisual SSMs
MambaRefine-CD: MambaVision with Region-Boundary Temporal Refinement for Remote-Sensing Change Detection
ContributionDeveloping the change detection architecture, experimental setup, and analysis.
SummaryOngoing manuscript on MambaVision-based binary remote-sensing change detection.
Change DetectionMambaVisionRemote Sensing
Selected Projects
Selected Projects
Research projects are listed above. This section includes other technical work kept in compact form.
Research projects are listed above.
Real-Time Elephant Detection Using Infrasound Analysis and Machine Learning
Signal-processing and machine-learning project exploring low-frequency infrasound features for elephant detection.
InfrasoundSignal ProcessingMachine Learning
Wavelets / Contourlets / XLET-NSST Experiments
Experiments with multiscale signal and image transforms, including wavelet, contourlet, XLET, and NSST workflows.
Signal ProcessingImage ProcessingMATLAB
Controlled Visual SSM Benchmark Implementation
Implementation work connected to controlled visual SSM benchmarking for remote-sensing semantic segmentation.
PyTorchRemote SensingSegmentation
Skills
Skills
Grouped technical skills and research tools.
Programming
- Python
- C/C++
- MATLAB
- LaTeX
- Git
- Linux
Machine Learning / Computer Vision
- PyTorch
- OpenCV
- TensorFlow
- CNNs
- Transformers
- visual state-space models
- segmentation
- change detection
Remote Sensing
- Sentinel-2
- semantic segmentation
- change detection
- dataset preparation
- boundary-aware evaluation
Signal Processing
- FFT/PSD analysis
- filtering
- spectral features
- vibration analysis
- infrasound analysis
Tools
- GitHub
- Hugging Face
- Google Scholar
- arXiv
- LaTeX
Awards
Awards
Selected academic prizes, examination results, and competition outcomes.
- 2026IGARSS 2026 paper acceptedControlled visual SSM benchmark for remote-sensing segmentation.
- 2025SLTTECHNOVATION 2025 - SemifinalistSmart Waste Water Management solution.
- 2024Haxtreme 4.0 - 7th PlaceTeam Binary Brains.
- 2024SLIIT Extreme 4.0 - FinalistTeam Binary Brains.
- 2024UOJ Coder v3.0 - FinalistProgramming competition finalist.
- 2021P.D.S. Kularathne Memorial Prize and N.B.M. Mediweka Memorial PrizeBest student selected to the Faculty of Engineering.
- 2021S.J. Munasinghe Memorial PrizeHighest Z-score at the G.C.E. Advanced Level Examination.
- 2021G.C.E. Advanced Level Physical Science StreamNational Rank 68, District Rank 4.
CV & Links
CV & Research Links
For research internship opportunities and collaborations, please refer to my CV and research profiles.
Contact
Contact
Direct contact information and research profiles.
Research conversations, applications, and collaborations
Email is the most direct contact channel for research internships, lab applications, and collaborations.
- Emaile21291@eng.pdn.ac.lk
- LocationSri Lanka
- Profiles