Dr Rajesh N
University of Technology and Applied Science, Sir M. Visvesvaraya Institute of Technology, Bharathiar University, Thiruvalluvar University, University of Madras
Research areas: Computer Science · Information Systems · Artificial Intelligence in Healthcare · Internet of Things and AI · Data Mining and Machine Learning Applications
0000-0003-1255-9621
About
Rajesh N completed his PhD in Computer Science from Bharathiar University, Master of Computer Application from Thiruvalluvar University and BSc in Computer Science from Madras University. He works as a Lecturer at the University of Technology and Applied Sciences-Shinas, Sultanate of Oman. His founder and chief editor for the International Journal of Data Informatics and Intelligent Computing. His research interests include Data Mining, Machine Learning, Big Data Analytics, Blockchain Technology, and Data Privacy and Security. He has presented articles at national and international conferences and has published articles in reputed indexed journals like WoS and SCOPUS.
Employment
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University of Technology and Applied Science Lecturer2014 - Present
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Sir M. Visvesvaraya Institute of Technology Assistant Professor2009 - 2014
Education
- 2012 - 2020
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Thiruvalluvar University Master2005 - 2008
- 2002 - 2005
Projects & Funding
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Revolutionizing Agriculture Through Smart Farming by Employing Advanced Machine Learning Techniques for Optimal Crop Selection. Ministry of Higher Education, Research and Innovation2024 - Present
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Analyzing and Developing an Automated Allergen Detection System for Food Ingredients through Predictive Modeling. Ministry of Agriculture, Fisheries and Water Resources2024 - Present
Publications (66)
- Automated food visual recognition and allergen identification using deep learning Save
- Deep Learning-Based Intelligent Decision Support System for Crop Recommendation Save
- AI-Driven Smart Agriculture Framework for Poverty Reduction Among Smallholder Farmers Save
- Leveraging artificial intelligence for enhanced anti-money laundering in financial institutions Save
- Deep learning–based intelligent system for railway track monitoring and fault detection Save
- Weighted Hermitian Wavelet Multilayer Extreme Learning Machine for Building Detection Using Unmanned Aerial Vehicle Images Save
- Emotion Classification from EEG Signals Using Capsule Networks Save
- Intelligent real-time wildfire detection using image processing techniques with edge-AI integration Save
- AI‐Based Air Pollution Forecasting Using SAE and Metaheuristic‐Optimized ANN Save
- Real-Time Tiger Intrusion Detection System Using Machine Learning and IoT Save
- Ai-Driven Cybersecurity Defense for Military Networks Save
- Revolutionizing Agriculture Through Smart Farming by Employing Advanced Machine Learning Techniques for Optimal Crop Selection Save
- Interpretable Appendicitis Detection using EfficientNetB1 and SHAP with CT Imaging Across Age Groups Save
- Enhancing Scalable User Experience in Smart Home Systems with Ubiquitous Virtual Reality Interfaces Save
- Weather-Aware Smart Irrigation System Using Temporal Fusion Transformer for Precision Agriculture Save
- Edge-AI Enabled IoT Framework for Real-Time Stroke Risk Prediction Using Multimodal Biosignals Save
- Smart Agro-Weed Eradication with AI Driven Weed Detection and Removal Using Vision Transformers and Neuromorphic Computing Save
- AI-Based Intelligent System for Healthcare Application Using Edge-Based Neural Random Back Propagation Technique Save
- Web Security in the Digital Age Save
- Advancements in Crop Yield Prediction Using Deep Learning Algorithms Save