SAURABH BILGAIYAN

About

Dr. Saurabh Bilgaiyan holds a distinguished position as a faculty member in the School of Computer Engineering at KIIT, Deemed to be University, Bhubaneswar, India. With a strong passion for both teaching and research, he brings extensive expertise and academic experience to the university’s vibrant learning ecosystem. He earned his Ph.D. in Computer Science & Engineering from KIIT, Deemed to be University in 2018. He holds a Master of Technology (M.Tech) in Computer Science & Engineering from the same institution (2014) and a Bachelor of Engineering (B.E.) from BIRT, under Rajiv Gandhi Proudyogiki Vishwavidyalaya (RGPV), Bhopal (2012). Dr. Bilgaiyan is actively engaged in cutting-edge research and has published extensively in reputed peer-reviewed journals, edited volumes, and conference proceedings. His scholarly contributions have garnered significant recognition in the academic community. He is currently supervising M.Tech and Ph.D. scholars in emerging areas of computer science. He also serves as a reviewer for various prestigious international journals and conferences, further demonstrating his expertise and commitment to academic excellence.

Employment

• Kalinga Institute of Industrial Technology Deemed to be University Associate Professor

Education

• KIIT University Ph.D.
  2014 - 2018

Projects & Funding

Projects & funding information is unavailable.

Publications (150)

• Evaluating Deep Neural Network Architectures for Devanagari Script Recognition
  2026 9th International Conference on Inventive Computation Technologies (ICICT) 2026 DOI: 10.1109/icict68280.2026.11511074
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• Smart Cybersecurity: A Dataset-Driven Comparative Analysis of ML Techniques for Network Intrusion Detection and Prevention
  2026 International Conference on Air Defense and Security (ICADS) 2026 DOI: 10.1109/icads69450.2026.11545500
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• 3D FusionNet for synthetic CT based lung cancer segmentation (Vol 15, 43730 2025)
  SCIENTIFIC REPORTS 2026 DOI: 10.1038/S41598-026-37789-0
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• A software fault prediction model using driving training-inspired metaheuristic feature selection framework
  International Journal of Computational Science and Engineering 2026 DOI: 10.1504/ijcse.2026.10078586
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• Advanced analysis and detection of cervical cancer using NASNetLarge
  SCIENTIFIC REPORTS 2026 DOI: 10.1038/S41598-026-38341-W
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• An Agreement-Based Dual Ensemble Analysis of Spam and Propaganda Detection
  Proceedings of 3rd International Conference on Machine Learning and Autonomous Systems Icmlas 2026 2026 DOI: 10.1109/ICMLAS67792.2026.11483892
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• Comprehensive Survey on State-of-the-Art Methodologies, Resources, Applications, and Challenges of Automated Sentiment Analysis for Low-Resource Languages
  Lecture Notes in Networks and Systems 2026 DOI: 10.1007/978-981-95-7241-0_16
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• DDPM-Based Framework for Detection and Restoration of Tampered Medical Images
  Proceedings International Conference on Computational Intelligence and Networks 2026 DOI: 10.1109/CINE68769.2026.11502590
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• Data-Driven Wine Price Forecasting with Feature Engineering
  Proceedings of the 2026 International Conference on AI Driven Smart Systems and Ubiquitous Computing Icauc 2026 2026 DOI: 10.1109/ICAUC68182.2026.11441065
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• Deep Learning for Short-Term Rainfall Forecasting in Indian Subcontinent Using ERA5-Land Data
  Proceedings of 3rd International Conference on Machine Learning and Autonomous Systems Icmlas 2026 2026 DOI: 10.1109/ICMLAS67792.2026.11483717
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