Saurabh Bilgaiyan

Ph.D. (CS&E), M.Tech. (CS&E), B.E. (IT)

1. Awarded for outstanding contribution in reviewing by Journal of King Saud University-Computer and Information Sciences, Elsevier.
2. Best presentation award in 41st Annual Conference of the Odisha Mathematical Society & International Conference on Industrial Mathematics and Scientific Computing.
3. Delivered Guest Lecture (Faculty Development Programme ) on LaTex at GITA, Bhubaneshwar, Odisha.

• Books, Book Chapters, and Patents
• 1.Choudhury, S., Pandey, A., Mishra, R., Sahu, S., & Bilgaiyan, S. (n.d.). Water dispenser system with temperature recording [Indian Patent No. 455224-001]. Indian Patent Office.
• 2.Mythili, R., Manohar, S., Sridevi, R., Laxmi, M. V., Dawande, N. A., Ganapathy, B. S., … Bilgaiyan, S. (n.d.). Artificial intelligence-based smart cyber attack detection in IoT wireless networks [Indian Patent No. 202341003722]. Indian Patent Office.
• 3.Kumar, B. K., Bilgaiyan, S., & Sameera, V. K. (2025). The application of machine learning and deep learning algorithms for estimation of software development effort (SDE). In H. Das & C. Pradhan (Eds.), Intelligent Technologies (4th ed., p. 1). Springer Singapore. https://doi.org/10.1007/978-981-96-5585-4
• 4.Banerjee, P., Bilgaiyan, S., & Tikmani, A. (2022). COVID-19 test report and vaccine certificate verification through blockchain and e-commerce. In S. Bilgaiyan, J. Singh, & H. Das (Eds.), Empirical Research for Futuristic E-Commerce Systems: Foundations and Applications (1st ed., Chap. 9, pp. 181–195). IGI Global. https://doi.org/10.4018/978-1-6684-4969-1.ch009
• 5.Bilgaiyan, S., Singh, J., & Das, H. (Eds.). (2022). Empirical Research for Futuristic E-Commerce Systems: Foundations and Applications (1st ed.). IGI Global.
• 6.Bilgaiyan, S., Mishra, B. S. P., Ansari, R., & Sagnika, S. (2022). A collaborative cloud model of auto-scaling with load balancing for effective e-commerce. In S. Bilgaiyan, J. Singh, & H. Das (Eds.), Empirical Research for Futuristic E-Commerce Systems: Foundations and Applications (1st ed., Chap. 6, pp. 116–130). IGI Global. https://doi.org/10.4018/978-1-6684-4969-1.ch006
• 7.Das, H., Gourisaria, M. K., Sah, B. K., Bilgaiyan, S., Badajena, J. C., & Pattanayak, R. M. (2022). E-healthcare system for disease detection based on medical image classification using CNN. In S. Bilgaiyan, J. Singh, & H. Das (Eds.), Empirical Research for Futuristic E-Commerce Systems: Foundations and Applications (1st ed., Chap. 11, pp. 213–230). IGI Global. https://doi.org/10.4018/978-1-6684-4969-1.ch011
• 8.Sagnika, S., Das, N., Pandey, S., & Bilgaiyan, S. (2022). Analytical review on techniques and challenges in sentiment analysis. In S. Bilgaiyan, J. Singh, & H. Das (Eds.), Empirical Research for Futuristic E-Commerce Systems: Foundations and Applications (1st ed., Chap. 7, pp. 131–158). IGI Global. https://doi.org/10.4018/978-1-6684-4969-1.ch007
• 9.Sarmah, P., Das, R., Dhamija, S., Bilgaiyan, S., & Mishra, B. S. P. (2022). Facial identification expression-based attendance monitoring and emotion detection: A deep CNN approach. In P. Sarangi, M. Panda, S. Mishra, B. S. P. Mishra, & B. Majhi (Eds.), Machine Learning for Biometrics: Concepts, Algorithms, and Applications (pp. 155–176). Elsevier. https://www.elsevier.com/books/machine-learning-for-biometrics/sarangi/978-0-323-85209-8
• 10.Tikmani, A., Bilgaiyan, S., Mishra, B., & Sagnika, S. (2022). A systematic review on blockchain technology: Concepts, applications, and prospects in healthcare. In S. Mishra, H. Tripathy, P. Mallick, & K. Shaalan (Eds.), Augmented Intelligence in Healthcare: A Pragmatic and Integrated Analysis (Vol. 1024, pp. 315–354). Springer Singapore. https://doi.org/10.1007/978-981-19-1076-0_17
• 11.Bilgaiyan, S., Panigrahi, P. K., & Mishra, S. (2020). Chaos-based modified morphological genetic algorithm for effort estimation in agile software development. In J. Singh, S. Bilgaiyan, B. S. P. Mishra, & S. Dehuri (Eds.), A Journey Towards Bio-Inspired Techniques in Software Engineering (1st ed., Chap. 6, Vol. 185, pp. 89–102). Springer Nature Switzerland AG.
• 12.Goswami, D. K., Chakrabarti, S., & Bilgaiyan, S. (2020). Effort estimation of web-based applications using ERD, use case point method and machine learning. In S. C. Satapathy, A. K. Jena, J. Singh, & S. Bilgaiyan (Eds.), Automated Software Engineering: A Deep Learning-Based Approach (1st ed., Chap. 2, Vol. 8, pp. 19–37). Springer Nature Switzerland AG.
• 13.Satapathy, S. C., Jena, A. K., Singh, J., & Bilgaiyan, S. (Eds.). (2020). Automated Software Engineering: A Deep Learning-Based Approach. Springer Nature Switzerland AG.
• 14.Singh, J., Bilgaiyan, S., Mishra, B. S. P., & Dehuri, S. (Eds.). (2020). A Journey Towards Bio-Inspired Techniques in Software Engineering. Springer Nature Switzerland AG.