Nishankar Sathiyamohan

I am a Lecturer (Probationary) and Assistant Research Coordinator at the University of Sabaragamuwa, Sri Lanka. I hold an Honours degree in Computer Engineering from the University of Peradeniya.

My research is at the intersection of Computer Vision, Hybrid Quantum-Classical Machine Learning, and Explainable AI (XAI), with applications in precision agriculture and medical imaging.

Email / CV / Google Scholar / GitHub / LinkedIn / ResearchGate

Research Interests

I am interested in Computer Vision & 3D Reconstruction (object detection, semantic segmentation, SLAM, Vision Transformers, self- & semi-supervised learning), Quantum Machine Learning (hybrid quantum-classical architectures, variational quantum circuits), Explainable AI (Grad-CAM, LIME/SHAP, model transparency), Federated & Edge Learning (TinyML, privacy-preserving distributed training), and applications in Precision Agriculture & Medical Imaging.

Publications

Papers where I am a primary or significant contributor are shown below. Full list on Google Scholar and ResearchGate.

image / gif	ViT-RoT: Vision Transformer-Based Robust Framework for Tomato Leaf Disease Recognition S. Nishankar, V. Pavindran, T. Mithuran, S. Nimishan, S. Thuseethan, Y. Sebastian AgriEngineering, Vol. 7, No. 6, 2025 · Q1 paper / code Robust Vision Transformer for early tomato leaf disease detection using attention-based feature extraction.
image / gif	TOM-SSL: Tomato Disease Recognition using Pseudo-labelling based Semi-supervised Learning S. Nishankar, T. Mithuran, S. Nimishan, V. Pavindran, S. Thuseethan AgriEngineering, Vol. 7, No. 8, 2025 · Q1 paper Semi-supervised learning framework for tomato disease recognition under label scarcity using pseudo-labelling.
image / gif	U-FedTomAtt: Ultra-lightweight Federated Learning with Attention for Tomato Disease Recognition R. George, S. Nishankar, S. Thuseethan, C. Wimalasooriya, et al. arXiv:2602.16749, 2026 · IEEE TIFS – Under Review arXiv Ultra-lightweight federated learning model with attention mechanisms for privacy-preserving edge disease recognition.
image / gif	Self-xViT: Self-supervised Vision Transformer for Explainable Tomato Leaf Disease Detection S. Nishankar, G. Rajalingam, S. Thuseethan, Y. Sebastian, et al. 2026 · Applied Intelligence – Under Review Self-supervised ViT with built-in explainability for disease detection without labelled training data.
image / gif	Deep Semi-supervised Learning for Medical Image Analysis: A Survey T. Shyamalee, S. Nishankar, S. Thuseethan, C. Wimalasooriya, Y. Sebastian ( Equal Contribution)* 2025 · ACM CSUR – Under Revision Comprehensive survey of semi-supervised deep learning methods for medical image analysis.
image / gif	SLIF-Brinjal: An In-Field Leaf Dataset for Disease Recognition in Precision Agriculture R. George, S. Nishankar, S. Thuseethan, K. Pakeerathan, R. G. Ragel 2026 · Scientific Data – Under Review A large-scale in-field brinjal leaf image dataset for agricultural disease recognition benchmarking.
image / gif	From Unimodal to Multimodal Deep Physiological Signal Analysis in Healthcare: A Survey T. Bakmeedeniya, R. G. Ragel, P. Vigneshwaran, S. Nishankar, S. Thuseethan 2026 · Computer Science Review – Under Review Survey of deep learning methods for unimodal and multimodal physiological signal analysis in healthcare.
image / gif	Trends, Challenges and Future Directions in Deep Learning for Citrus Leaf Disease Recognition: A Survey T. Godage, S. Nishankar, S. Vasanthapriyan, S. Thuseethan, Z. Liang 2026 · Artificial Intelligence – Under Review Survey covering deep learning trends and open challenges for citrus plant disease recognition.

Projects

Selected open-source and research projects. More on GitHub.

image / gif	ViT-RoT Python · PyTorch · ViT code / paper Robust Vision Transformer for early tomato leaf disease detection. Published in AgriEngineering.
image / gif	MRI Image Generation Python · PyTorch · Medical Imaging code Attention UNet + RL fine-tuning pipeline for high-fidelity MRI image synthesis.
image / gif	TinyML Emotion AI Python · C · Edge AI code Real-time emotion detection optimised for resource-constrained edge devices.
image / gif	1D-MobileNetV2 Python · Signal Processing code Lightweight MobileNetV2 adaptation for efficient 1D physiological signal processing.
image / gif	C QR Generator C code Low-level, terminal-based QR code generator implemented entirely in C.
image / gif	Quantum Simulation Lab JavaScript · Three.js demo Interactive client-side quantum circuit simulator with real-time Bloch sphere visualization, VQE/QAOA, and Grover's Search.