FACULTY PROFILE

<--add content here-->

Education
Ph D 2021 Indian Institute of Technology Patna
M Tech 2016 Indian Institute of Technology Patna
M Sc 2011 Dr Bhim Rao Ambedkar University Agra 
Experience
November 2022  – Till Date Assistant Professor, Rajiv Gandhi Institute of Petroleum Technology, Bangalore Campus, Hoskote, Karnataka
August 2022 – October 2022 Assistant Professor, Thapar Institute of Engineering Technology, Patiala, Punjab
February 2022 – July 2022 Data Scientist, Neuriot Solutions India Private Limited, Noida, Uttar Pradesh
August 2020 – January 2022 Data Scientist, Neuriot Technologies LLP, Gurugram, Harayana 
Undergraduate
  • Graph Theory
  • Optimization Methods and Applications
  • Soft Computing
Postgraduate
  • Statistical Machine Learning
  • Artificial Neural Networks
  • Introduction to Data Science
  • Reliability and Life Testing Analysis 
Research Interests
  • Statistical Inference
  • Censored Lifetime Analysis
  • Reliability Analysis
  • Statistical Machine Learning
  • Computational Statistics
Research Projects
Invited Talks/Expert Lectures
  • Delivered expert lecture in Online Short Term Training Program from May 29, 2024 to June 2, 2024 on “Data Science and Statistical Analysis through R and Python Software 2.0" organized by the Department of Mathematics, SVNIT Surat.
  • Conducted technical session in Online Short Term Training Program from May 10, 2023 to May 14, 2023 on “Data Science and Statistical Analysis through R and Python Software" organized by the Department of Mathematics, SVNIT Surat.
Reviewer of Journals
  • Communications in Statistics - Simulation and Computation
  • American Journal of Mathematical and Management Sciences
  • Quality and Reliability Engineering International
  • Scientific Reports
Journal Publications

  1. Prakash Chandra, Chandrakant Lodhi, Yogesh Mani Tripathi, and Akbar Asgharzadeh (2025). Inference and optimal plans for a new Pareto distribution under Type-1 hybrid censoring. International Journal of Reliability, Quality and Safety Engineering, 00, 0-0. DOI: https://doi.org/10.1142/S0218539325500159

  2. Rani Kumari, Yogesh Mani Tripathi, Chandrakant Lodhi, and Liang Wang  (2025). Pivotal based reliability inference for Burr-XII distribution under block progressive type-II censoring. Communications in Statistics-Simulation and Computation, 00, 1-22. DOI: https://doi.org/10.1080/03610918.2025.2483437

  3. Chandrakant Lodhi, Aditi Kar Gangopadhyay, and Pushpak Bhattacharya (2024). Likelihood and pivotal-based reliability inference for inverse exponentiated Rayleigh distribution under block progressive censoring. Quality Technology & Quantitative Management, 22(4), 779-804.  DOI: https://doi.org/10.1080/16843703.2024.2400435

  4. Rajendranath Mondal, Aditi Kar Gangopadhyay, Kousik Maiti and Chandrakant Lodhi (2024). Reliability Inference for Power Rayleigh Distribution under Block Progressive Censoring: A Pivotal Quantity based Approach. International Journal of Reliability, Quality and Safety Engineering, 0(0), DOI: https://doi.org/10.1142/S0218539324500530

  5. Kundan Singh, Yogesh Mani Tripathi, Chandrakant Lodhi, and Liang Wang (2024). Inference for Unit Inverse Weibull Distribution Under Block Progressive Type-II Censoring. Journal of Statistical Theory and Practice, 18(3), 1-35. DOI: https://doi.org/10.1007/s42519-024-00395-2

  6. Aditi Kar Gangopadhyay, Rajendranath Mondal, Chandrakant Lodhi, and Kousik Maiti (2023). Bayesian Inference on Parameters and Reliability Characteristics for Inverse Xgamma Distribution under Adaptive-general Progressive Type-II Censoring. Journal of Radiation Research and Applied Sciences, 17(2), 100890. DOI: https://doi.org/10.1016/j.jrras.2024.100890

  7. Prakash Chandra, Chandrakant Lodhi, and Yogesh Mani Tripathi (2023). Optimum Plans for Progressive Censored Competing Risk Data Under Kies Distribution. Sankhya B, 86, 1-40. DOI: https://doi.org/10.1007/s13571-023-00315-7

  8. Chandrakant Lodhi, Yogesh Mani Tripathi & Ritwik Bhattacharya (2023). On a progressively censored competing risks data from Gompertz distribution. Communication in Statistics - Simulation and Computation, 52(4), 1278-1299.  DOI: https://doi.org/10.1080/03610918.2021.1879141

  9. Prakash Chandra, Yogesh Mani Tripathi, Liang Wang & Chandrakant Lodhi (2023). Estimation for Kies distribution with generalized progressive hybrid censoring under partially observed competing risks model. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 237(6), 1048-1072. DOI: https://doi.org/10.1177/1748006X2211225

  10. Rani Kumari, Chandrakant Lodhi, Yogesh Mani Tripathi, & Rahesh Kumar Sinha (2022). Estimation of stress–strength reliability for inverse exponentiated distributions with application. International Journal of Quality and Reliability Management, 40(4), 1036-1056. DOI: https://doi.org/10.1108/IJQRM-06-2021-0182

  11. Amulya Kumar Mahto, Chandrakant Lodhi, Yogesh Mani Tripathi, & Liang Wang (2021). On partially observed competing risk models under generalized progressive hybrid censoring for Lomax distribution. Quality Technology and Quantitative Management, 19(5), 562-586.  DOI: https://doi.org/10.1080/16843703.2022.2049507

  12. Liang Wang, Yogesh Mani Tripathi, Chandrakant Lodhi, & Xuanjia Zuo (2022). Inference for constant-stress Weibull competing risks model under generalized progressive hybrid censoring. Mathematics and Computers in Simulation, 192, 70-83. DOI: https://doi.org/10.1016/j.matcom.2021.08.017

  13. Chandrakant Lodhi, Yogesh Mani Tripathi, & Liang Wang (2021). Inference for a general family of inverse exponentiated distributions with partially observed competing risks under generalized progressive hybrid censoring. Journal of Statistical Computation and Simulation, 91(12), 2503-2526. DOI: https://doi.org/10.1080/00949655.2021.1901290

  14. Amulya Kumar Mahto, Chandrakant Lodhi, Yogesh Mani Tripathi, & Liang Wang (2021). Inference for partially observed competing risks model for Kumaraswamy distribution under generalized progressive hybrid censoring. Journal of Applied Statistics, 49(8), 2064-2092. DOI: https://doi.org/10.1080/02664763.2021.1889999

  15. Devendra Pratap Singh, Chandrakant Lodhi, Yogesh Mani Tripathi & Liang Wang (2021). Inference for Two-Parameter Rayleigh Competing Risks Data under Generalized Progressive Hybrid Censoring. Quality and Reliability Engineering International, 37(3), 1210-1231. DOI: https://doi.org/10.1002/qre.2791

  16. Liang Wang, Ke Wu, Yogesh Mani Tripathi, & Chandrakant Lodhi (2020). Reliability analysis of multicomponent stress-strength reliability from a bathtub-shaped distribution. Journal of Applied Statistics, 49(1), 122-142. DOI: https://doi.org/10.1080/02664763.2020.1803808

  17. Liang Wang, Yogesh Mani Tripathi, & Chandrakant Lodhi (2020). Inference for Weibull competing risks model with partially observed failure causes under generalized progressive hybrid censoring. Journal of Computational and Applied Mathematics, 368, 112537. DOI: https://doi.org/10.1016/j.cam.2019.112537

  18. Chandrakant Lodhi, & Yogesh Mani Tripathi (2020). Inference on a progressive type I interval-censored truncated normal distribution. Journal of Applied Statistics, 47(8), 1402-1422.  DOI: https://doi.org/10.1080/02664763.2019.1679096

  19. Chandrakant Lodhi, Yogesh Mani Tripathi & Manoj Kumar Rastogi (2019). Estimating the parameters of a truncated normal distribution under progressive type II censoring. Communication in Statistics - Simulation and Computation, 50(9), 2757-2781. DOI: https://doi.org/10.1080/03610918.2019.1614619

  20. Raj Kamal Maurya, Yogesh Mani Tripathi, Chandrakant Lodhi & Manoj Kumar Rastogi (2019). On a generalized Lomax distribution. International Journal of Systems Assurance Engineering and Management, 10(5), 1091-1104. DOI: https://doi.org/10.1007/s13198-019-00839-0

  21. Chandrakant Lodhi, Manoj Kumar Rastogi & Yogesh Mani Tripathi (2018). On a Weibull-Inverse Exponential Distribution. Annals of Data Science, 5(2), 209-234. DOI: https://doi.org/10.1007/s40745-017-0125-0

  22. Chandrakant Lodhi, Yogesh Mani Tripathi & Manoj Kumar Rastogi (2017). On a Discrete Analogue of Linear Failure Rate Distribution. American Journal of Mathematical and Management Sciences, 36(3), 229-246. DOI: https://doi.org/10.1080/01966324.2017.1326859

  • Faculty In-Charge, Infrastructure and Development
  • Member, DPGC Committee at EIB
  • Member, Purchase Committee at EIB

  • Qualified GATE 2013 (Mathematics)

  • Recieved Institute Fellowship for pursuing Ph D research at IIT Patna in 2016

Dr Chandrakant

Assistant Professor
Probability and Statistics
;