Title Dr. First Name GULAB Last Name SINGH
Designation Associate Professor
Department Department of Statistics
Email gsingh@stats.du.ac.in
Webpage
Phone.no 011-27666671
Employement Info
Employee Type Nature Of Employment
Teaching Permanent
Educational Qualifications
Degree/Certification Name Institution Year of Completion
Ph.D. - STATISTICS KURUKSHETRA UNIVERSITY KURUKSHETRA 2011
PG KURUKSHETRA UNIVERSITY KURUKSHETRA 2006
UG KURUKSHETRA UNIVERSITY KURUKSHETRA 2004
HSC H. B. S. E. 2001
SSC H. B. S. E. 1999
Research Supervision Overview
PhD Scholars Supervised PhD Degrees Awarded Theses Submitted
2 2 0
Research Publications
Title of Article Type of Publication Name of Journal ISSN Journal Volume Year Link to Article DOI (Digital Object Identifier)
Bayesian analysis on single server Markovian queueing model with impatient customers Research Papers in Web of Science Listed Journals JOURNAL OF APPLIED STATISTICS 1360-0532 2025 https://doi.org/10.1080/02664763.2025.2552722 DOI: 10.1080/02664763.2025.2552722
Bayesian Inference of Traffic Intensity for an M/M/1 Queueing Model with State-Dependent Service Under Asymmetric Loss Functions Research Papers in Scopus Listed Journals Model Assisted Statistics and Applications 1574-1699 2025 https://doi.org/10.1177/15741699251358338
Bayesian analysis of state-dependent service Markovian queueing model under asymmetric loss functions SCI-approved journals Communications in Statistics - Theory and Methods 1532-415X 2025 https://doi.org/10.1080/03610926.2025.2507673 DOI: 10.1080/03610926.2025.2507673
Reliability and profit analysis of a geometric process repair model with failure free warranty policy Research Papers in Scopus Listed Journals Life Cycle Reliability and Safety Engineering 2520-1360 2025 https://doi.org/10.1007/s41872-025-00296-8
Classical and Bayesian estimates of traffic intensity for M/M/1 queue with state-dependent service SCI-approved journals Communications in Statistics - Simulation and Computation 0361-0918 2025 https://doi.org/10.1080/03610918.2024.2449394 DOI: 10.1080/03610918.2024.2449394
M/M/∞ QUEUE WITH IMPATIENT CUSTOMERS Research Papers in Scopus Listed Journals Reliability: Theory & Applications 1932-2321 19 2024 https://doi.org/10.24412/1932-2321-2024-177-228-237
Bayesian analysis of single server Markovian queueing model with balking under asymmetric loss functions SCI-approved journals Communications in Statistics - Simulation and Computation 0361-0918 2023 https://doi.org/10.1080/03610918.2023.2245983 10.1080/03610918.2023.2245983
Maximum likelihood and Bayesian estimation on M/M/1 queueing model with balking SCI-approved journals Communications in Statistics - Theory and Methods 1532-415X 2023 https://doi.org/10.1080/03610926.2023.2208695 DOI: 10.1080/03610926.2023.2208695
M/M/∞ Queue with Catastrophes and Repairable Servers Research Papers in Scopus Listed Journals Reliability: Theory & Applications 1932-2321 17 2022 https://doi.org/10.24412/1932-2321-2022-471-143-153
Transient solution of an M/M/∞queue with catastrophes Research Papers in Web of Science Listed Journals Communications in Statistics - Theory and Methods 1532-415X 48 2018 https://doi.org/10.1080/03610926.2018.1477960 DOI: 10.1080/03610926.2018.1477960
Non-Journal Publications
Title of Publication Type of Publication Publisher Role ISBN Year Link to Publication Level
Transient and Steady-State Behavior of a Two-Heterogeneous Servers’ Queuing System with Balking and Retention of Reneging Customers Chapters in Books Springer Singapore Co-Author 978-981-13-0857-4 2018 https://doi.org/10.1007/978-981-13-0857-4_19 International
Research Projects
Project Title Project Type Year Of Sanction Outcome/Output Duration
An M/M/∞ Queueing Framework for Real-Life Applications with Server Failures and Customer Abandonment Minor 2025 The major outcomes of the research project are: A generalized M/M/∞ queueing model incorporating server breakdowns, repair mechanisms, and customer impatience has been successfully developed, providing a more realistic representation of modern service systems. Also, a continuous-time Markov chain framework has been formulated to describe the stochastic behavior of arrivals, services, server failures, repairs, and customer abandonment. The results are applicable to a wide range of service environments, including telecommunications networks, hospitals, call centers and largescale customer service platforms. The project contributes to the advancement of queueing theory by extending the classical infinite-server model and provides a foundation for future research on more complex stochastic service systems. Furthermore, a research article arising from the project work has been prepared and submitted to a reputed journal for consideration of publication. 30-10-2025 To 31-03-2026 (5 months, 1 days)
Talk Poster Presented
Name of the Activity Role Date of Activity
Invited Talk Speaker 23-12-2024
Invited Talk Resource Person 22-02-2025
Invited Talk Speaker 20-02-2026
Invited Talk Speaker 21-01-2026
Invited Talk Speaker 29-01-2026
Invited Talk Speaker 28-11-2025
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