Shiv Kumar Sharma

About

Dr. Shiv Kumar Sharma is working as a Professor in the Department of Mathematics, at Chandigarh University, Mohali, Punjab (India). His research interest is Reliability Theory, Queuing Theory, and Higher Education. Dr. Sharma is a member of the Indian Mathematical Society, Indian Science Congress Association, Ramanujan Mathematical Society, Soft Computing Society, and Institute for Engineering Research and Publication.

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Education

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Publications (35)

• A Supervised Learning Approach With ANN for Software Reliability Growth Modeling
  Quality and Reliability Engineering International 2026 DOI: 10.1002/qre.70229
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• Mathematical Modeling of Data Privacy in Reliability Growth Models
  Algorithms for Intelligent Systems 2026 DOI: 10.1007/978-981-96-7473-2_27
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• Comparative Analysis of Machine Learning and Deep Learning Models for Mental Health Classification: A Comprehensive Study
  2026 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI) 2026 DOI: 10.1109/iatmsi68868.2026.11465597
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• Estimation of software reliability using exponential distribution with MLE and LSE
  AIP Conference Proceedings 2025 DOI: 10.1063/5.0270730
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• Deep Learning and Traditional Algorithms: A Comparative Study on Predicting Second-Hand Car Prices
  2025 3rd IEEE International Conference on Industrial Electronics: Developments & Applications (ICIDeA) 2025 DOI: 10.1109/icidea64800.2025.10963181
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• Estimation of Software Reliability Testing Using Machine Learning Techniques
  2025 International Conference on Intelligent Control, Computing and Communications (IC3) 2025 DOI: 10.1109/ic363308.2025.10956618
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• Reliability Analysis of Series–Parallel Systems Using Weibull Distribution
  2025 DOI: 10.1007/978-981-96-3741-6_6
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• Software Reliability Prediction and Regression Analysis with Family of Lindley Distribution
  2025 DOI: 10.1007/978-981-97-7839-3_3
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• The Risk of Using Failure Rate with the Help of MTTF and MTBF to Calculate Reliability
  Integrating Metaheuristics in Computer Vision for Real‐World Optimization Problems 2024 DOI: 10.1002/9781394230952.ch10
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• Advancing software reliability with time series insights: A non‐autoregressive ANN approach
  Quality and Reliability Engineering International 2024 DOI: 10.1002/qre.3632
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