Salaja Silas

About

Dr. Salaja Silas is a Professor in the Department of Computer Science and Engineering at Karunya Institute of Technology and Sciences, Coimbatore, India. She has over two decades of academic and research experience, with a strong focus on applying intelligent computational techniques to real-world societal and healthcare challenges. Her research interests span Artificial Intelligence, Machine Learning, Intelligent Healthcare Systems, Wireless Sensor Networks, Software-Defined Networks, Cloud and Ubiquitous Computing, Quantum Computing and Data Analytics.

She has published extensively in high-impact international journals and conferences, including IEEE, Elsevier, Springer, Wiley, and Inder science, and holds a granted patent in AI-based post-crash care systems. She has also served as Co-Investigator for ICMR-funded healthcare research projects, contributing to decision-support tools for patient-centric healthcare services. Dr. Salaja Silas actively engages in professional service as an editorial board member in Scientific Reports, Springer Nature, Discover Computing and Mesopotamian Journal of Computer Science. She acts as a reviewer for reputed international journals and conferences, and is committed to interdisciplinary research, innovation, and mentoring of researchers in emerging areas of computing and intelligent systems.

Employment

• Karunya Institute of Technology and Sciences Professor
  2004 - Present

Education

• Karunya University Ph. D.,
  2008 - 2012
• Mepco Schlenk Engineering College M.E.,
  2000 - 2001
• St. Joseph's College of Engineering B. E.,
  1996 - 2000

Projects & Funding

Projects & funding information is unavailable.

Publications (54)

• Edge Computing for Smart Irrigation: Deploying an Embedded LSTM AI Model with HTTP POST Communication via Flask on Raspberry Pi 5
  Procedia Computer Science 2026 DOI: 10.1016/j.procs.2026.06.492
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• Role of Artificial Intelligence in Next Generation Networks
  2026 DOI: 10.4018/407384
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• Detection of Forgery in Medical Images Using Deep Learning
  Advances in Health Informatics, Intelligent Systems, and Networking Technologies: Proceedings of HINT. Lecture Notes in Networks and Systems (1286) 2025 DOI: 10.1007/978-981-96-4008-9_14
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• Enhancing Virus Detection Through Advanced Aggregation of Low-Level Features in Medical Imagery
  Advances in Health Informatics, Intelligent Systems, and Networking Technologies: Proceedings of HINT. Lecture Notes in Networks and Systems (1286) 2025 DOI: 10.1007/978-981-96-4008-9_36
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• Human posture recognition using random search neural architecture for accident injury severity prediction and victim identification
  Image and Vision Computing 2025 DOI: 10.1016/J.IMAVIS.2025.105654
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• A constructive airborne-ground matrix algorithm for modern telecommunication systems
  IET Networks 2024 DOI: 10.1049/NTW2.12103
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• AN IMPROVED COVERAGE HOLE FINDING SYSTEM FOR CRITICAL APPLICATIONS BASED ON COMPUTATIONAL GEOMETRIC TECHNIQUES
  Scalable Computing 2024 DOI: 10.12694/SCPE.V25I1.2397
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• Enhanced multivariate singular spectrum analysis-based network traffic forecasting for real time industrial IoT applications
  IET Networks 2024 DOI: 10.1049/NTW2.12121
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• Multivariate Forecasting of Network Traffic in SDN-Based Ubiquitous Healthcare System
  IEEE Open Journal of the Communications Society 2024 DOI: 10.1109/OJCOMS.2024.3373698
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• A strengthened eCK secure identity based authenticated key agreement protocol based on the standard CDH assumption
  Information and Computation 2023 DOI: 10.1016/J.IC.2023.105067
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