Velliangiri Sarveshwaran

About

Dr.S.Velliangiri obtained his Bachelor's in Computer Science and Engineering from Anna University, Chennai. Master's in Computer Science and Engineering from Karpagam University, Coimbatore, and Doctor of Philosophy in Information and Communication Engineering from Anna University, Chennai. Currently, he is working as an Assistant Professor at SRM Institute of Science and Technology, Kattankulatur Campus, Chennai. He was a member of the Institute of Electrical and Electronics Engineers (IEEE) and International Association of Engineers (IAENG). He is specialized in Network Security and Optimization techniques. He has published twenty-five International journals and presented ten International conferences. He has authored and co-author of several books. He served as editor in the EAI Endorsed journal of energy web (Scopus) and Journal of computer science Bentham (Scopus).He was the reviewer of IET Communication, Elsevier, Taylor and Francis, Springer, Inderscience and other reputed Scopus indexed journals

Employment

• National Chung Cheng University Post Doctoral Fellow
  2024 - 2026
• SRM Institute of Science and Technology Assistant Professor
  2022 - 2024
• Padmasri Dr BV Raju Institute of Technology Associate Professor
  2021 - 2022
• CMR Institute of Technology Associate Professor
  2018 - 2021
• GMR Institute of Technology Department of Computer Science Engineering Assistant Professor
  2018 - 2018
• Sri Venkatesa Perumal College of Engineering and Technology Associate Professor
  2016 - 2018

Education

• Anna University Chennai Ph.D
  2012 - 2018
• Karpagam University M.E
  2009 - 2011
• Sengunthar Engineering College B.E
  2006 - 2009

Projects & Funding

Projects & funding information is unavailable.

Publications (145)

• A secure authorization in multi-WSN based on Blockchain_SecAuth approach for secure data communication
  Blockchain Research and Applications 2026 DOI: 10.1016/j.bcra.2025.100331
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• ATTACK DETECTION USING ADAPTIVE DOLLMAKER OPTIMIZATION ENABLED DEEP HIGH-ORDER ATTENTION NEURAL NETWORK IN CLOUD-WSN
  Facta Universitatis Series Electronics and Energetics 2026 DOI: 10.2298/FUEE2603493Y
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• Advancements in the Field of Biomedical Robotics for Ensuring Safety
  Biomed Bots Assurance Securing Robotics Healthcare and IT Convergence 2026 DOI: 10.1201/9781003561309-11
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• Air Quality Prediction Using Communication-Efficient Federated Learning with Compressed Deep Learning Models
  Proceedings of the 6th International Conference on Trends in Material Science and Inventive Materials Ictmim 2026 2026 DOI: 10.1109/ICTMIM68190.2026.11506758
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• EWPO_SA-Net: A Hybrid Optimized Attention Network for Intrusion Detection in Smart City IoT Applications
  Journal of Communications 2026 DOI: 10.12720/jcm.21.2.187-200
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• Energy-Efficient Task Orchestration in the Edge-Cloud Continuum Using Deep Reinforcement and Federated Learning for Sustainable IOT
  IEEE Transactions on Industrial Informatics 2026 DOI: 10.1109/TII.2026.3671164
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• Hybrid Privacy-Preserving Federated Learning using Differential Privacy and Homomorphic Encryption for Healthcare IoT
  7th International Conference on Inventive Research in Computing Applications Icirca 2026 Proceedings 2026 DOI: 10.1109/ICIRCA69024.2026.11570642
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• Secure Federated Multimodal Learning with Attention-Weighted Transformers and Homomorphic Encryption for Privacy-Preserving Neuroimaging Analysis
  Biomedical Signal Processing and Control 2026 DOI: 10.1016/j.bspc.2026.110550
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• Squeeze Belief Network-Based Key Management and Data Deduplication for Secure Cloud Storage
  Transactions on Emerging Telecommunications Technologies 2026 DOI: 10.1002/ett.70420
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• A Comparative Analysis of Deep Learning Models for Heart Disease Prediction using ECG Image Data
  Proceedings of the 6th International Conference on Electronics and Sustainable Communication Systems Icesc 2025 2025 DOI: 10.1109/ICESC65114.2025.11212366
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