Surendran Rajendran

About

Surendran Rajendran received Ph.D degree in Computer Science and Engineering from Sathyabama University in the year of 2014. He is Professor at Department of Computer Science & Engineering, Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences, Chennai, India. His research interests are Cloud Computing, Internet of Things, Deep learning, Artificial Intelligent and Big Data.

Employment

• Saveetha School of Engineering
  2022 - Present
• Chennai Institute of Technology Professor
  2020 - 2022
• AMA International University Assistant Professor Grade 5
  2018 - 2020
• Sur University College Assistant Professor
  2015 - 2018
• Sathyabama University Faculty of Computing Assistant Professor
  2009 - 2014
• Ganadipathy Tulsi's Jain Engineering College Lecturer
  2005 - 2007

Education

• Sathyabama University Ph.D CSE
  2009 - 2014
• Sathyabama University Faculty of Computing M.Tech
  2007 - 2009
• Anna University B.Tech
  2001 - 2005

Projects & Funding

Projects & funding information is unavailable.

Publications (348)

• Multimodal learning for neonatal sepsis detection in the NICU using brain-inspired graph neural networks
  Results in Engineering 2026 DOI: 10.1016/j.rineng.2026.109072
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• Blockchain-Assisted Improved Cryptographic Privacy-Preserving FL Model with Consensus Algorithm for ORAN
  Computers Materials and Continua 2026 DOI: 10.32604/cmc.2025.069835
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• Breast cancer classification based on microcalcifications using dual branch vision transformer fusion
  Scientific Reports 2026 DOI: 10.1038/s41598-025-34377-6
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• Intra-scale interaction and cross-scale fusion network for detecting the progression of neurodegeneration in Alzheimer’s disease
  Scientific Reports 2026 DOI: 10.1038/s41598-025-31179-8
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• Optimized attention-based cascaded shuffle long-term dependent network based performance analysis of adaptive e-learning among IT professionals
  Scientific Reports 2026 DOI: 10.1038/s41598-026-36470-w
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• Proximal policy optimization (PPO) algorithm's role in autonomous decision-making for autism
  Results in Engineering 2025 DOI: 10.1016/j.rineng.2025.107683
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• Purifying Kopi Luwak beans with precise RL-based proximal policy optimization using visual transformer with FRD
  Egyptian Informatics Journal 2025 DOI: 10.1016/j.eij.2025.100737
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• Lung disease classification in chest X-ray images using optimal cross stage partial bidirectional long short term memory
  Journal of X-Ray Science and Technology 2025 DOI: 10.1177/08953996241304987
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• A Dual Machine Learning Approach for Differentiating Spindle Cell and Giant Cell Carcinomas and Assessing Severity Levels
  2025 8th International Conference on Electronics Materials Engineering and Nano Technology Iementech 2025 2025 DOI: 10.1109/IEMENTech65115.2025.10959358
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• A secured accreditation and equivalency certification using Merkle mountain range and transformer based deep learning model for the education ecosystem
  Scientific Reports 2025 DOI: 10.1038/s41598-025-06789-x
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