Designation: Assistant Professor
Qualification: Ph.D., GATE
Area of Interest: Sampling Theory
Phone No: +91xxxxxxxxxx
E-Mail:
Dr. Kuldeep Kumar Tiwari
- About Faculty: Dr. Kuldeep Kumar Tiwari is working as an Assistant Professor at Department of Mathematics and Computing, Madhav Institute of Technology and Science - Deemed University, Gwalior, Madhya Pradesh. He has a Ph.D. in Mathematics from Shri Mata Vaishno Devi University, Jammu. His research focuses on Sampling Theory and he has published widely in high-impact journals and presented at international conferences. Actively mentoring students, he has guided numerous undergraduate and postgraduate projects. Dr. Tiwari serves as a reviewer for prominent journals and participates in faculty development, underscoring his dedication to academic excellence and societal growth.
- Education and Qualification:
- Ph.D in Mathematics from Shri Mata Vaishno Devi University Jammu
- M.Sc. (Mathematics) from Central University of Jammu
- GATE-2022 (Mathematics)
- B.Sc. (Mathematics, Statistics) from National PG College, University of Lucknow
- Work Experience:
- Working as Assistant Professor at Department of Mathematics and Computing, Madhav Institute of Technology and Science - Deemed University, Gwalior, Madhya Pradesh since March 2025.
- Worked as Assistant Professor at Department of Mathematics, Chandigarh University from December 2022 to March 2025.
- Worked as Assistant Professor of Mathematics at Department of Basic and Applied Sciences, Career Point University, Kota from September 2022 to December 2022.
- Administrative Experience:
In the administrative position, he has worked as Coordinator for various activities at Department of Mathematics, Chandigarh University such as:
- Sports Coordinator
- Extra Curricular Activities Coordinator
- Institute Social Responsibility Coordinator
- Social Internship Coordinator
- NCC and NSS Coordinator
- Advance Credit Program Coordinator
- Master Subject Coordinator for various Subjects
- Research Supervision:
- Dr. Kuldeep Kumar Tiwari has supervised five master’s dissertation of Data Science students.
- He also guided various projects at UG level.
- Honors, Award & Recognition:
Dr Tiwari is serving as reviewer for the journals:
- Scientific Reports
- Journal of Applied Statistics
- Complexity: A Journal by Wiley
- Communications in Statistics- Simulation and Computation
- Journal of Big Data
- American Journal of Applied Mathematics
- Thailand Statistician
- Journal of Statistics Application & Probability Letters
- Pakistan Journal of Statistics and Operations Research
- Research & Review: Journal of Statistics
- Workshop/Conference/Organized/Attended:
Organized/Delivered Talk
- Dr. Tiwari has organised an International Conference on "Neoteric Advancements in Analysis and Applied Mathematics" in team as Joint Organising Secretary during 18th-19th December, 2023 at Department of Mathematics, Chandigarh University.
- Delivered an Invited talk at the 5- Day Faculty Development on "Introduction to R Programming" organised by Department of Mathematics, Chandigarh University on during 9th-13th December 2024.
- Delivered an Invited talk at the "5- Day Faculty Development on Latex" organised by Meerut Institute of Engineering and Technology on 09/11/2024
Conference Attended
- Presented a paper entitled "A New Class of Difference-cum-Exponential Type Efficient Estimators under Double Sampling" in the International Conference"NA3M-2023" organised at Chandigarh University, Mohali during 18th-19th December, 2023.
- Presented a paper entitled “Estimation of Population Mean of a Sensitive Variable Using Randomized Response Technique Under Two-Phase Sampling” at the International Conference “ICMMTES-2022” oraganized by "Graphic Era Hill University, Dehradun" during 9th-10th December, 2022.
- Presented a paper entitled “On Efficient Estimation in Successive Sampling Over Two Occasions ” at the National Conference “NCRAM-2022” oraganized by "Central University of Jammu, Jammu" during 20th-21st October, 2022
- Presented a paper entitled “A Comparative Study of Ratio Estimators with Regression Estimator” at the International Conference “FIAM-2022” oraganized by "Sant Longowal Institute of Engineering and Technology, Punjab" during 21st-22nd December, 2021.
- Presented a paper entitled “Assessing the Effect of Non response and Measurement Error using a Novel Class of Efficient Estimators” at the International Conference “RASTA 2021” oraganized by "Department of Statistics, Banaras Hindu University" during 15th - 17th December, 2021.
- Presented a paper entitled “A General Class of Estimators in the Presence of Non response and Measurement Error” in the online international conference “ICMSCI-2020” oraganized by "Shri Mata Vaishno Devi University, Katra, J&K” during 21st 22nd Dec 2020.
- Presented a paper entitled “A General Class of Estimator in Stratified Random Sampling” in the international conference “ ICRTAET-2020” oraganized by "Shri Mata Vaishno Devi University, Katra, J&K” during 17th - 18th Jan, 2020.
- Presented a paper entitled “A difference-cum-exponential type efficient estimator of population mean” at the International Conference and 22nd Annual Convention of Vijnana Parishad of India on Advances in Operations Research, Statistics and Mathematics (AOSM-2019) oraganized by “Department of Mathematics, BITS Pilani” during 28th - 30th Dec, 2019.
- Presented a paper entitled “A difference-cum-exponential ratio type estimator under double sampling: a simulation study” in the national conference “Recent Trends in Mathematical Sciences” oraganized by “School of Mathematics, Shri Mata Vaishno Devi University, Katra, J&K” during 13th - 14th Dec 2019
Workshop/Seminar Attended
- Attended National Workshop "Quantitative Data Analysis using STATCRAFT" organised by School of Business, Shri Mata Vaishno Devi University in Collaboration with STATCRAFT during 1st-5th February, 2021.
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Participated in AWSAR Webinar on "Popular Science Writing" organised by Department of Science and Technology, Government of India on 20th July, 2020.
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Participated in TEQIP-III sponsored workshop on "Foundation of Fuzzy Sets and Fuzzy Logic Application" organised by Department of Computer Science and Engineering, Shri Mata Vaishno Devi University Katra, J&K during 30th September to 4th October, 2019.
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Attended two week refresher course on "Introduction to MATLAB and Research Enhancement Tool" organised by School of Electronics and Communications in collaboration with Human Resource Development Centre, Shri Mata Vaishno Devi University Katra, J&K during 16th-25th March, 2018
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Attended one week National Workshop on "Statistics through SPSS" organised by Department of Statistics, University of Jammu during 10th-14th September, 2018.
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Attended the "Workshop in Computational Mathematics on SageMath" organised by Department of Mathematics, Central University of Jammu during 25th-26th March, 2016.
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Attended "Legal Awareness Programme" organised by National PG College Lucknow in 2015.
- Publications:
List of publications:
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K. K. Tiwari, A. Singh and S. Kumar, "A Comprehensive Analysis of CNN-Based Deep Learning Models: Evaluating the Impact of Transfer Learning on Model Accuracy," 2025 2nd International Conference on Computational Intelligence, Communication Technology and Networking (CICTN), Ghaziabad, India, 2025, pp. 62-67, doi: 10.1109/CICTN64563.2025.10932510.
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Kuldeep Kumar Tiwari, Sandeep Bhougal, Sunil Kumar & K.U.I. Rather (2022): Using Randomized Response to Estimate the Population Mean of a Sensitive Variable under the Influence of Measurement Error. Journal of Statistical Theory and Practice, 16, 28. https://doi.org/10.1007/s42519-022-00251-1.
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Kuldeep Kumar Tiwari & Puneet Kumar (2022): An efficient class of estimators for finite population mean using auxiliary variable, Thailand Statistician, 20(4), 764-765. https://ph02.tci-thaijo.org/index.php/thaistat/article/view/247458.
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Kuldeep Kumar Tiwari, Sandeep Bhougal & Sunil Kumar (2022): A Comparative Study of Ratio Estimators with Regression Estimator, Journal of Statistics Application & Probability Letters, 9(2), 101-104. http://dx.doi.org/10.18576/jsapl/090205.
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Kuldeep Kumar Tiwari, Sandeep Bhougal & Sunil Kumar (2021): A Difference-Cum-Exponential Type Efficient Estimator of Population Mean. In: Mathematical Modeling and Computation of Real-Time Problems: An Interdisciplinary Approach (R. Kulshrestha et al. Eds.), CRC Press. ISBN 9781003055037. https://doi.org/10.1201/9781003055037-16.
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A. Kumar and K. K. Tiwari, "Disease Classification in Dermatology: A CNN-RF Hybrid Approach," 2024 3rd International Conference on Artificial Intelligence For Internet of Things (AIIoT), Vellore, India, 2024, pp. 1-5, doi: 10.1109/AIIoT58432.2024.10574607.
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Kuldeep Kumar Tiwari & Vishwantra Sharma (2023): Efficient Estimation of Population Mean in the Presence of Non-Response and Measurement Error, Statistics in Transition new series, 24(3), 95-116. https://doi.org/10.59170/stattrans2023-038.
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Kuldeep Kumar Tiwari, Sandeep Bhougal & Sunil Kumar (2023): On Efficient Estimation in Successive Sampling Over Two Occasions, Thailand Statistician, 21(2), 305-313. https://ph02.tci-thaijo.org/index.php/thaistat/article/view/249003.
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Kuldeep Kumar Tiwari, Sandeep Bhougal & Sunil Kumar (2023): A general class of estimators in stratified random sampling, Communications in Statistics - Simulation and Computation, 52(2), 442-452. https://doi.org/10.1080/03610918.2020.1859537.
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Kuldeep Kumar Tiwari, Sandeep Bhougal & Sunil Kumar (2023): A General Class of Estimators in the Presence of Nonresponse and Measurement Error, Journal of Statistics Application & Probability Letters, 10(1), 13-33. http://dx.doi.org/10.18576/jsapl/100102.
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Kuldeep Kumar Tiwari, Sandeep Bhougal & Sunil Kumar (2023): Estimation of Population Mean of a Sensitive Variable Using Randomized Response Technique Under Two-Phase Sampling, Lobachevskii Journal of Mathematics, 43(11), 3400-3406. doi: 10.1134/S1995080222140335.
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Kuldeep Kumar Tiwari, Sandeep Bhougal, Sunil Kumar, Ronald Onyango (2022): Assessing the Effect of Nonresponse and Measurement Error Using a Novel Class of Efficient Estimators. Journal of Mathematics, vol. 2022, Article ID 4946265, 9 pages, https://doi.org/10.1155/2022/4946265.
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