T. Saravanan

About

Dr. T. Saravanan is working as an Assistant Professor in the Department of Computer Science & Engineering at GITAM University, Bengaluru Campus. He graduated with a B.E - Computer Science and Engineering from Selvam College of Technology, Anna University, Chennai, M.E - Network Engineering from Anna University Regional Center, Coimbatore, India, and Ph.D. in Information and Communication Engineering at Anna University, Chennai, India. He had 10+ years of teaching experience. He has published many SCI papers, Scopus papers, Book chapters, Lecture Notes, and many Indian Patents. His research interests include Wireless Sensor Networks, Artificial Intelligence, and Optimization algorithms. He has membership with MISTE, MCSI, IAENG, UACEE, and SDIWC.

Employment

• GITAM University Assistant Professor
  2022 - Present
• St. Martin's Engineering College Associate Professor
  2021 - 2022
• Galgotias College of Engineering and Technology Assistant Professor
  2018 - 2021
• Selvam College of Technology Assistant Professor
  2012 - 2018

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (53)

• Approximated Ensemble Learning Driven Boosting Method for Breast Cancer Prediction on Multi-modal Clinical Datasets
  2025 DOI: 10.1007/978-3-031-81080-0_1
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• Enhancing Concealment in 3D Mesh Models Using Chaotic Based Steganography Algorithm with Minimal Perceptual Distortion
  2025 DOI: 10.1007/978-3-031-81083-1_3
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• Improving Data Delivery and Energy Efficiency in MANETs: A Stacking Based SVM Approach for Multipath
  2025 DOI: 10.1007/978-3-031-81083-1_4
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• An Effective Explainable AI-Based Discrete Swarm Herd Optimization Model for Intrusion Detection in Industry 4.0 Networks
  2025 DOI: 10.1007/978-3-031-94637-0_11
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• Impressive predictive model for Breast Cancer based on Machine Learning
  EAI Endorsed Transactions on Pervasive Health and Technology 2024 DOI: 10.4108/eetpht.10.5246
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• Quality of Service Protection in 5G Mobile Ad Hoc Networks with Behavior Learning-Enhanced CNN-AODV Routing
  2024 DOI: 10.1007/978-3-031-54696-9_2
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• Integrating Fuzzy Logic and Deep Learning for Effective Network Attack Detection with Fuzzified Deep Convolutional Neural Network
  2024 DOI: 10.1007/978-3-031-54696-9_4
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• Analyzing Machine Learning Classifiers for the Diagnosis of Heart Disease
  EAI Endorsed Transactions on Pervasive Health and Technology 2024 DOI: 10.4108/eetpht.10.5244
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• A real-time environmental air pollution predictor model using dense deep learning approach in IoT infrastructure
  Global Nest Journal 2024 DOI: 10.30955/gnj.005666
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• Privacy enhanced framework using edge-driven approach over internet of things
  2023 1st International Conference on Optimization Techniques for Learning (ICOTL) 2024
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