- PhD Students:
- Ms. Shilpi Biswas (2019 - Present): She is working on statistical modeling of load sharing systems.
- Mr. Sourav Saha (2022 - Present): He is working on statistical analysis of left truncated right censored bivariate data.
- Mr. Arpan Sanyal (2023 - Present): His problem will be formulated.
- MSc Students:
- Mr. Arvind Kumar (2024). Project Title: Survival analysis using Cox regression model (Reading project).
- Mr. Saneilie Keyho (2024). Project Title: Kaplan-meier estimator and its application (Reading project).
- Mr. Nilmadhab Tewari (2023). Project Title: Theoretical foundations and properties of copula.
- Ms. Priyanka Singh (2023). Project Title: On one shot device testing.
- Ms. Deepika (2020). Project Title: Lifetime data analysis.
- Mr. Arijit Roy (2018). Project Title: Discriminating among different models for step-stress life test.
- Mr. Santanu Datta (2017). Project Title: Bayesian analysis of simple step-stress tampered random variable model under generalized exponential lifetimes.
- BTech Students:
- Mr. Lakshya Kohli and Mr. Daksh Raj (2024 - 2025). Project Title: To be decided.
- Mr. Harshul Gupta and Mr. Harsh (2023 - 2024). Project Title: Improving Bayesian estimation for censored data with Weibull model using modified SMOTE.
- Mr. Dasari Sainaren and Mr. Mandala Yatish Ramkumar (2022 - 2023). Project Title: Bayesian sampling plan for the Weibull distribution with generalized Type-I hybrid censoring scheme.
- Mr. Kaushal Chhalani and Mr. Manav Chirania (2021 - 2022). Project Title: Bayesian analysis of left truncated right censored data in the presence of dependent competing risks.
- Mr. Aakash Agarwal (2019 - 2020). Project Title: Step-stress analysis in the presence of lag effect for log-normal lifetimes.
- Mr. Abhishek Dogra and Mr. Animesh Kumar (2019 - 2020). Project Title: Analysis of left truncated right censored data in the presence of dependent competing risks.
- Mr. Akash Mahalik and Mr. Tarun Genwa (2018 - 2019). Project Title: Reliability dimention in review platform Yelp.