Ramesh Sekaran

About

Dr. Ramesh Sekaran is a distinguished academician and researcher with a prominent career in Computer Science and Engineering. He is currently serving as a Professor of Computer Science and Engineering at the School of Engineering, Dayananda Sagar University, Bengaluru, India, where he actively contributes to teaching, research, and innovation. His areas of expertise include Deep Learning, Cryptography, IoT Networking, Volunteered Computing, MANETs, Wireless Networks, and Optimization Techniques, with a strong emphasis on advancing technology through research-driven applications. Dr. Ramesh S is an active researcher with over 120 peer-reviewed publications in SCI and Scopus-indexed journals and numerous international conference presentations. He has authored three books, edited one, contributed chapters to ten academic books, and published eight monographs. Recognized for his impactful teaching and research, he has received three prestigious international awards for academic excellence.

Employment

• Dayananda Sagar University Professor
  2025 - Present
• Jain University Professor & Program Head of CSE (Data Science)
  2022 - 2025
• Velagapudi Ramakrishna Siddhartha Engineering College Associate Professor
  2019 - 2022
• Malla Reddy Engineering College for Women Associate Professor
  2018 - 2019
• Sethu Institute of Technology Associate Professor
  2018 - 2018

Education

• Anna University Ph.D
  2011 - 2015
• Anna University, Chennai M.Tech
  2008 - 2010
• Adhiyamaan College of Engineering B.Tech
  2004 - 2008

Projects & Funding

Projects & funding information is unavailable.

Publications (64)

• Generic Sentimental Analysis in Web Data Recommendation Based on Social Media Scalable Data Analytics Using Machine Learning Architecture
  Proceedings of Data Analytics and Management 2024 DOI: 10.1007/978-981-99-6544-1_26
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• Handwriting Analysis for Bank Cheque Verification Using EfficientNet
  Communications in Computer and Information Science 2024 DOI: 10.1007/978-3-031-77799-8_12
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• Ransomware Classification and Detection: A Supervised Machine Learning Approach
  Proceedings of Fifth International Conference on Computer and Communication Technologies 2024 DOI: 10.1007/978-981-99-9707-7_24
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• Privacy and security assurance in order to adopt a substantiation protocol in ultra-lightweight RFID
  Ubiquitous and Transparent Security 2024 DOI: 10.1201/9781003362685-4
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• Wearable Sensor Based Cloud Data Analytics Using Federated Learning Integrated with Classification by Deep Learning Technique
  International Conference on Innovative Computing and Communications: Proceedings of ICICC. Lecture Notes in Networks and Systems (703) 2023 DOI: 10.1007/978-981-99-3315-0_11
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• Survival study on deep learning techniques for IoT enabled smart healthcare system
  Health and Technology 2023 DOI: 10.1007/S12553-023-00736-4
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• Stock Price Prediction Model Using LSTM: A Comparative Study
  Asian Conference on Innovation in Technology (ASIANCON) 2023 DOI: 10.1109/ASIANCON58793.2023.10270708
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• Enabling Autonomous Deep Learning Strategies for Real-Time Data Analysis in Machine Learning
  International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON) 2023 DOI: 10.1109/SMARTGENCON60755.2023.10441855
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• Detection of objects in high-definition videos for disaster management
  International Conference on Computer Science and Emerging Technologies (CSET) 2023 DOI: 10.1109/CSET58993.2023.10346761
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• CE2RV: Commissioned energy-efficient virtualization for large-scale heterogeneous wireless sensor networks
  International Journal of Communication Systems 2023 DOI: 10.1002/DAC.5480
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