D
Dr.Sujatha Krishna
University of Technology and Applied Sciences - Shinas, REVA University, S.J.C Institute of Technology, M S Engineering College
Research areas: Computer Science · Information Systems · Smart Agriculture and AI · Artificial Intelligence in Healthcare · Privacy-Preserving Technologies in Data
0000-0002-9686-6508
Employment
- 2019 - Present
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REVA University Assistant Professor2014 - 2019
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M S Engineering College Assistant Professor2008 - 2012
Education
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REVA University M.tech in Computer Science and Engineering
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REVA University Ph.D in Computer Science and Engineering
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S.J.C Institute of Technology B.E in Computer Science and Engineering
Projects & Funding
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DATA-DRIVEN INSIGHTS: LEVERAGING MACHINE LEARNING TECHNIQUES FOR HEART DISEASE PREDICTION University of Technology and Applied Sciences-Shinas2025 - 2025
Publications (30)
- Zero-Data AI Framework for Real-Time Micro-Ecosystem Anomaly Detection in Urban Vertical Farming Save
- Deep Learning-Based Intelligent Decision Support System for Crop Recommendation Save
- Convolutional Neural Network-Based Classification of Skin Lesions Using Dermoscopic Images Save
- AI‐Based Air Pollution Forecasting Using SAE and Metaheuristic‐Optimized ANN Save
- Deep Learning-Based HD Risk Prediction Using Sequential Neural Networks Save
- Revolutionizing Agriculture Through Smart Farming by Employing Advanced Machine Learning Techniques for Optimal Crop Selection Save
- Advanced Machine Learning Techniques for Optimizing Crop Selection in Precision Agricultural Systems Save
- Interpretable Appendicitis Detection using EfficientNetB1 and SHAP with CT Imaging Across Age Groups 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
- Web Security in the Digital Age Save
- A Novel Federated Learning Framework for Healthcare Applications Using Wearable Devices Save
- Optimizing Mobile Edge Computing Efficiency through Multidimensional Generative Adversarial Network Save
- A Novel Hybrid Dynamic Harris Hawks Optimized Gated Recurrent Unit Approach for Breast Cancer Prediction Save
- The role of splitfed learning in recommendation systems Save
- A Discrete Congruence Levenberg–Marquardt Deep Convoluted Neural Learning Classifier for the Automatic Detection of Autism Spectrum Disorder Save
- Securing Data Communication in the Cloud Using Machine Learning-Based Blockchain Approach Save
- Advancing Cyber Resilience for Autonomous Systems with Novel AI-based Intrusion Prevention Model Save
- Ridge Regressive Data Preprocessed Quantum Deep Belief Neural Network for Effective Trajectory Planning in Autonomous Vehicles Save