Rajakumar K

About

Dr. K. Rajakumar is a Professor at the School of Computer Science and Engineering, specializing in image processing, artificial intelligence, machine learning, and IoT, with extensive contributions to research, teaching, and industry collaboration.

Employment

• Vellore Institute of Technology University Professor
  2016 - Present

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (93)

• Anomaly-Aware Peripheral Blood Smear Analysis via Hybrid Detection and One-Class Learning
  Computer Modeling in Engineering & Sciences 2026 DOI: 10.32604/cmes.2026.079104
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• SYSTEM AND METHOD FOR ADAPTIVE MULTIMODAL SPATIO-TEMPORAL CHANGE DETECTION USING DYNAMIC LIQUID NEURAL PROCESSING
  Intellectual Property India 2026
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• Transform-Aware Deep Learning and Explainable AI in Remote Sensing: A Comprehensive Meta-Analysis
  IEEE Access 2026 DOI: 10.1109/ACCESS.2026.3699482
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• Swin-ResU-Net: Hybrid Transformer CNN for Spatial Segmentation of Satellite Imagery
  Proceedings of the 4th International Conference on Intelligent Data Communication Technologies and Internet of Things Idciot 2026 2026 DOI: 10.1109/IDCIoT67589.2026.11455886
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• SLiM-Net: Robust Remote Sensing Change Detection via Shearlet Fusion and Liquid Neural Networks with Misalignment-Aware Error Modeling
  Ssrn 2026 DOI: 10.2139/ssrn.6603801
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• MetaMorphNet: Deep Shearlet and Flux-Based Fusion for Change Detection in Multi-Source Satellite Imagery
  IEEE Access 2026 DOI: 10.1109/ACCESS.2026.3661275
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• Lightweight AI-Based Battery Health Prediction for Electric Vehicles Using Temporal Attention and Multi-Feature Data
  Proceedings of the 4th International Conference on Intelligent Data Communication Technologies and Internet of Things Idciot 2026 2026 DOI: 10.1109/IDCIoT67589.2026.11455820
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• Land Cover Change Detection Using DeepLabv3ResNet50
  Proceedings of the 4th International Conference on Intelligent Data Communication Technologies and Internet of Things Idciot 2026 2026 DOI: 10.1109/IDCIoT67589.2026.11455786
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• Cortical Folding-Based Spatial–Temporal Modeling for Joint Land-Cover Segmentation and Multi-Class Change Analysis
  IEEE Access 2026 DOI: 10.1109/ACCESS.2026.3716127
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• LONGITUDINAL DEEP LEARNING MODEL FOR PREDICTING CHRONIC KIDNEY DISEASE PROGRESSION USING TEMPORAL CLINICAL DATA
  Intellectual Property India 2026
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