Nishankar Sathiyamohan
Computer Science & Engineering graduate from University of Peradeniya. Exploring the intersection of Vision, Quantum Computing, and AI.
About Me
I am an honors engineering graduate specialized in Computer Engineering. Currently, I serve as a Lecturer (Probationary) at the University of Sabragamuwa, where I bridge the gap between academic research and industrial application.
My research is driven by a curiosity for Hybrid Quantum-Classical frameworks and their application in Computer Vision and Anomaly Detection. I focus on making AI models more robust and explainable.
Research Interests
Professional Journey
Lecturer (Probationary)
University of Sabragamuwa
UBL Coordinator & Assistant Research Coordinator.
Lecturer (Contract)
University of Jaffna
Taught Embedded Systems, Digital Image Processing, and Algorithms.
Instructor
University of Peradeniya
Software Engineering Intern
Infinity Innovators Pvt, Colombo
Selected Publications
Peer-reviewed journals, surveys, and research preprints in Computer Vision and AI.
ViT-RoT: Vision Transformer-Based Robust Framework for Tomato Leaf Disease Recognition
AgriEngineering, Vol. 7, No. 6, 2025DOI: 10.3390/agriengineering7060185 | Jun 2025
TOM-SSL: Tomato Disease Recognition using Pseudo-labelling based Semi-supervised Learning
AgriEngineering, Vol. 7, No. 8, 2025DOI: 10.3390/agriengineering7080248 | Jul 2025
U-FedTomAtt: Ultra-lightweight Federated Learning with Attention for Tomato Disease Recognition
arXiv:2602.16749, Feb 2026Deep Semi-supervised Learning for Medical Image Analysis: A Survey
Sept 2025 (*Equal Contribution)Self-xViT: Self-supervised Vision Transformer for Explainable Tomato Leaf Disease Detection
Jan 2026From Unimodal to Multimodal Deep Physiological Signal Analysis in Healthcare: A Survey
Mar 2026SLIF-Brinjal: An In-Field Leaf Dataset for Disease Recognition in Precision Agriculture
Feb 2026Trends, Challenges and Future Directions in Deep Learning for Citrus Leaf Disease Recognition: A Survey
Jan 2026Teaching & Coursework
Course materials and lecture notes for the modules I facilitate.
Medium Articles
In-depth technical writing on Computer Vision, AI, and robotics.
Understanding Vision Transformers (ViT)
A comprehensive guide to ViT architecture with a practical Hugging Face implementation.
DINO: Self-Supervised ViTs
Exploring emerging properties in self-supervised Vision Transformers through the DINO framework.
First Step into Robotics
A beginner-friendly guide to getting started with robotics simulation using WeBots.
Mastering Competitive Programming
Evaluating the best platforms and strategies for excelling in competitive programming.
Open Source Projects
A collection of my research implementations and technical tools on GitHub.
ViT-RoT
Robust Vision Transformer framework for early detection of tomato leaf diseases.
MRI Image Generation
Attention UNet pipeline with RL finetuning for high-fidelity MRI image synthesis.
TinyML Emotion AI
Real-time emotion detection optimized for resource-constrained edge devices.
PDF Splitter
Flash-based web tool for precise extraction and splitting of PDF document pages.
C QR Generator
Low-level, terminal-based QR code generator implemented entirely in C.
1D MobileNetV2
Lightweight MobileNetV2 adaptation for efficient 1D signal processsing.
Get in Touch
I'm always open to discussing new projects, research collaborations, or opportunities. Feel free to reach out!
Say Hello!