About

I am an Assistant Professor in the Department of Statistics at Chaudhary Charan Singh University, Meerut. Before this, I worked as an Assistant Professor in the Department of Mathematics at Graphic Era Hill University, Dehradun and also in the Department of Statistics at Ramjas College, University of Delhi. I have a PhD in Reliability and Life Testing from University of Delhi and have published several research papers in prestigious SCI journals. I have been recognized for my academic achievements with awards such as the Inspire Scholarship and the Senior Research Fellowship. My research interests lie in reliability theory, life testing and applied statistics with a focus on advancing knowledge in these fields. In my previous role as a Research Associate at the Indian Institute of Technology (IIT) Roorkee, I contributed to projects in the Department of Computer Science particularly in the development of AI-driven trading platforms. My work involved the application of machine learning algorithms and statistical techniques to analyze market trends and optimize trading strategies. I am passionate about research and teaching, particularly in the areas of statistics, reliability, and machine learning, and I look forward to continuing to make meaningful contributions to these fields through my academic and research pursuits.

  • Birthday: 22 September
  • Phone: +91-6396769198
  • City: Meerut, Uttar Pradesh
  • Email: stats.saini@gmail.com

Interests

Reliablity and Life Testing

Bayesian Inference

Computer Vision

Natural Language Processing

Machine Learning

Visualization

Algorithms

Image Processing

Education

Ph.D. in Statistics

November 2018 - February 2023
Thesis Title:
  • Some Contributions to Estimation Procedures for Lifetime Models using Censored Data

M.Sc. in Applied Statistics and Informatics

July 2016 - May 2018
Relevant Coursework
  • Statistical Inference
  • Regression Analysis
  • Machine Learning

B.Sc. Honours in Mathematics

July 2012 - July 2015
Relevant Coursework
  • Linear Algebra
  • Real Analysis
  • Optimization Techniques
  • Experience
  • FDP'S

Chaudhary Charan Singh University Meerut

October 2024 - Present

Assistant Professor

  • Teaching statistics related courses to UG and PG students.
  • Conducting C programming lab sessions.
  • Working on new research ideas.
  • Engaging in administrative work.

Graphic Era Hill University Dehradun

August 2023 - September 2024

Assistant Professor

  • Taught statistics courses to B.Tech Computer Science and M.Sc. Data Science students.
  • Conducted lab sessions on Python and R programming.
  • Published high-quality research papers in prestigious journals.

Indian Institute of Technology Roorkee

March 2023 - June 2023

Research Associate

  • Conducting research on various machine learning algorithms and statistical models to develop and optimize trading strategies.
  • Analyzing large datasets to identify patterns, trends, and opportunities for algorithmic trading.
  • Collaborating with other team members to implement and test trading algorithms, and monitoring their performance to continuously improve the platform's trading capabilities.

Ramjas College, University of Delhi

October 2021 - October 2022

Assistant Professor

  • Delivering lectures and conducting tutorials on statistical concepts, methods, and applications to undergraduate students.
  • Mentoring and supervising students on research projects and providing guidance on statistical analysis and interpretation of data.
  • Engaging in scholarly activities such as publishing research papers, attending conferences, and staying updated with the latest developments in the field of statistics.

1. E & ICT Academy, IIT Kanpur

Faculty Development Program on Python Programming – A Practical Approach for 2 weeks (80 Credits)

2. E & ICT Academy, IIT Kanpur

Faculty Development Program on Introduction to NoSQL Architecture with MongoDB for 1 week

  • Publications
  • Conferences
  1. Shubham Saini, Renu Garg, Neeraj Tiwari & Chatany Swaroop (2024). Classical and Bayesian estimation of multicomponent stress–strength reliability with power Lindley distribution under progressive first-failure censored samples, Journal of Statistical Computation and Simulation, https://doi.org/10.1080/00949655.2024.2383989 (Taylor & Francis, IF:1.225)
  2. Shubham Saini, Jyoti Patel & Renu Garg (2024). Statistical inference on multicomponent stress-strength reliability with non-identical component strengths using progressively censored data from Kumaraswamy distribution, Soft Computing, https://doi.org/10.1007/s00500-024-09674-3 (Springer, IF:4.1)
  3. Shubham Saini (2024) Estimation of multi-stress strength reliability under progressive first failure censoring using generalized inverted exponential distribution, Journal of Statistical Computation and Simulation, https://doi.org/10.1080/00949655.2024.2374829 (Taylor & Francis, IF:1.225)
  4. Shubham Saini (2024) Advancements in reliability estimation for the exponentiated Pareto distribution: A comparison of classical and Bayesian methods with lower record values, Computational Statistics, https://doi.org/10.1007/s00180-024-01497-y (Springer, IF:1.3)
  5. Shubham Saini & Renu Garg (2022). Non-Bayesian and Bayesian estimation of stress-strength reliability from Topp-Leone distribution under progressive first-failure censoring, International Journal of Modelling and Simulation, https://doi.org/10.1080/02286203.2022.2148878 (Taylor & Francis)
  6. Shubham Saini, Sachin Tomer & Renu Garg (2022). Inference of multicomponent stress-strength reliability following Topp-Leone distribution using progressively censored data, Journal of Applied Statistics, https://doi.org/10.1080/02664763.2022.2032621 (Taylor & Francis, IF:1.416)
  7. Shubham Saini & Renu Garg (2022). Reliability inference for multicomponent stress–strength model from Kumaraswamy-G family of distributions based on progressively first failure censored samples, Computational Statistics, 37, 1795–1837 (2022). https://doi.org/10.1007/s00180-021-01180-6 (Springer, IF:1.405)
  8. Ajit Chaturvedi, Renu Garg & Shubham Saini (2021). Estimation and testing procedures for the reliability characteristics of Kumaraswamy-G distributions based on the progressively first failure censored samples, OPSEARCH 59, 494–517. https://doi.org/10.1007/s12597-021-00523-7 (Springer, IF:1.6)
  9. Shubham Saini, Sachin Tomer & Renu Garg (2021). On the reliability estimation of multicomponent stress–strength model for Burr XII distribution using progressively first-failure censored samples, Journal of Statistical Computation and Simulation, 92:4, 667-704 https://doi.org/10.1080/00949655.2021.1970165 (Taylor & Francis, IF:1.225)
  10. Shubham Saini, Ajit Chaturvedi & Renu Garg (2021). Estimation of stress–strength reliability for generalized Maxwell failure distribution under progressive first failure censoring, Journal of Statistical Computation and Simulation, 91:7, 1366-1393, https://doi.org/10.1080/00949655.2020.1856846 (Taylor & Francis, IF:1.225)
  11. Test Conferences

Projects

Twitter Analysis

Image recognition as Service

Skills

Languages and Databases

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Softwares

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Tools

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Contact

My Address

Department of Statistics

Chaudhary Charan Singh University

Ramgarhi, Meerut, Uttar Pradesh 250001

Social Profiles

Email

shubham.stats.2018@gmail.com

stats.saini@gmail.com

shubham.cs@sric.iitr.ac.in

Contact

+91-6396769198