Dr. Kiran Kumar Paidipati is working as an Assistant Professor in the Area of Decision Sciences at IIM Sirmaur. Prior to this, he served as an Assistant Professor in the Department of Statistics, Lady Shri Ram College for Women, University of Delhi, New Delhi. He also worked as a UGC Post-Doctoral Fellow in the Department of Statistics, Pondicherry University, Puducherry. As an academician, he had more than four years of teaching and research experience.

Dr. Paidipati completed his Ph.D. in Statistics from Pondicherry University in 2016 and M. Sc. Statistics from Sri Venkateswara University, Tirupati. His research areas include Stochastic Modeling, Operations Research, and Data Science. The applications of his research work confine to measure the glucose and insulin levels through Stochastic Models, Agricultural Resource Management, and Diet Management of Diabetes through Optimization Models. He is now working for the proposed international collaborations with France and the BRICS countries. He published several research papers and book/book chapters at National/International levels.

• Quantitative Analysis for Management – I
• Business Statistics
• Advanced Analytics – I
• Probability Theory
• Statistical Methods
• Applied Statistics
• Financial Statistics
• Programming in R

• Certified Lean Six Sigma Green Belt Professional
• Certified Lean Six Sigma Black Belt Professional

• Singh, M., Ragoju, R., Reddy, G., Matta, A., Paidipati, K. K., & Chesneau, C. (2022). Non-linear magnetoconvection in a bidispersive porous layer: a brinkman model. Earth Science Informatics, 1-10. (SCI-Expanded, I.F.: 2.705)
• Reddy, G. S. K., Koteswararao, N. V., Ravi, R., Paidipati, K. K., & Chesneau, C. (2022). Dissolution-Driven Convection in a Porous Medium Due to Vertical Axis of Rotation and Magnetic Field. Mathematical and Computational Applications, 27(3), 53. (ESCI, Web of Science Indexed)
• Paidipati, K. K., Banik, A., Shah, B., & Sangwa, N. R. (2022). Forecasting of Sugarcane Productivity Estimation in India-A Comparative Study with Advanced Non-Parametric Regression Models. JOURNAL OF ALGEBRAIC STATISTICS, 13(2), 760-778. (ESCI, Web of Science Indexed)
• P S, Lalitha, Paidipati, K. K., & Kumar, A. (2021). Customer Relationship Management Practices of Indian Public and Private Sector Banks: An Exploratory Study. Indian Journal of Finance and Banking, 7(1), 1-12. ISSN: 2574-6081, https://doi.org/10.46281/ijfb.v7i1.1278 (ABDC-C listed Journal)
• Paidipati, K.K.; Komaragiri, H.; Chesneau, C. Pre-Emptive and Non-Pre-Emptive Goal Programming Problems for Optimal Menu Planning in Diet Management of Indian Diabetes Mellitus Patients. Int. J. Environ. Res. Public Health 2021, 18, 7842. ISSN: 1660-4601, https://doi.org/10.3390/ijerph18157842 (Scopus, Science Citation Index-Expanded (SCI-E), and Social Science Citation Index (SSCI), Impact Factor: 4.614)
• Paidipati, K.K.; Chesneau, C.; Nayana, B.M.; Kumar, K.R.; Polisetty, K.; Kurangi, C. Prediction of Rice Cultivation in India—Support Vector Regression Approach with Various Kernels for Non-Linear Patterns. AgriEngineering 2021, 3, 182-198, ISSN: 2624-7402. https://doi.org/10.3390/agriengineering3020012 (ESCI, Web of Science and Scopus Indexed)
• Tirupathi Rao Padi, Kiran Kumar Paidipati, Madhumita Oram, Optimal Land Allocation Programming Problems for Agricultural Revenue Maximization in Andhra Pradesh, Agricultural Science Digest- A Research Journal of Agriculture, Animal & Veterinary Sciences, Vol:40, Issue-3, Pages:275-279, September 2020, ISSN: 0253-150X. DOI: 10.18805/ag.D-5019 (NAAS Rated, Scopus and ESCI, Web of Science indexed Journal)
• Kiran Kumar Paidipati and Arjun Banik, Forecasting of Rice Cultivation in India–A Comparative Analysis with ARIMA and LSTM-NN Models, EAI-Endorsed Transactions of Scalable Information Systems, sis 20(24): e8, Page No:1-11, ISSN: 2032-9407, 2020. http://dx.doi.org/10.4108/eai.13-7-2018.161409 (ESCI, WoS Indexed)
• Polisetty, K. and K.K. Paidipati. (2020), Statistical assessment of trend analysis on production of wheat crop over India. Sarhad Journal of Agriculture, 36(1): 178-184, ISSN: 2224-5383, DOI:http://dx.doi.org/10.17582/journal.sja/2020/36.1.178.184 (Scopus Indexed)
• Kalpana Polisetty, Kiran Kumar Paidipati and Jyostna Devi Bodapti, Modelling of Monthly rainfall patterns in north-west India using SVM, Ingenierie des Systemes d'Information, Vol.24, No.4, Page No: 391-395, ISSN: 1633-1311 (print); 2116-7125 (online), 2019. https://doi.org/10.18280/isi.240405 (Scopus Indexed)

Published Book Chapter:

• Kiran Kumar Paidipati and Lalitha PS, chapter contribution entitled on “Imminent Outlook of Future Banking Technologies in India after COVID-19”, Business Finance: The Changing Scenario, New Vision Publications, New Delhi, ISBN: 978-81-949466-5-6 (2021)

• Arjun Banik, Hemanth Kumar M and Kiran Kumar Paidipati, “Prediction of Sugarcane Yielding in India - A Comparative Analysis with Advanced Non-parametric Regression models”, National Conference on Recent Advances on Statistical Significance in Research (RASSR-2020), organized by Department of Statistics, Sri Venkateswara University, Tirupathi during 17th-18th February 2020.
• Kiran Kumar Paidipati, Mathavan M and Tirupathi Rao Padi, “Epidemiological Study of Malaria Incidence (MI) in India-Time Series Data of NVBDCP during 2001-2017”, International Conference on Computer Age Statistics in the era of Big and High Dimensional Data, Organized by Department of Statistics, Savitribai Phule Pune University, Pune during 03-05, January 2019.
• Kiran Kumar Paidipati, Tirupathi Rao Padi and Chiranjeevi Gudala, Stochastic Model for Portfolio Management with Risky Assets, International Conference on Theory and Applications of Statistics and Information Sciences (TASIS-2018) in conjunction with XXXVII Annual Convention of ISPS & IBS, organized by Department of Statistics, Bharathiar University, Coimbatore during 5th -7th January 2018.
• Research Paper entitled “Simultaneous Linear Differential Equations for Modeling of Glucose and Insulin Regulatory System among Type -2 Diabetes Mellitus Patients” Authored by Kiran Kumar Paidipati and Tirupathi Rao Padi, presented in the International conference on OR for Big data and Analytics in conjunction with 47th Annual Convention of Operational Research Society of India (ORSI) organized by Sri Venkateswara University, Tirupathi during 1-3 Dec, 2014.
• Research Paper entitled “Bivariate Stochastic Modeling for Glucose and Insulin Regulatory System among Type -2 Diabetes Mellitus Patients with an approach of Laplace Transformation”, Authored by Kiran Kumar Paidipati and Tirupathi Rao Padi, presented in the International conference on Statistics and Information Technology for growing nation and 34th Annual Convention of Indian Society for Probability and Statistics (ISPS) organized by Dept. of Statistics, Sri Venkateswara University, Tirupathi during 30th Nov- 2nd Dec, 2014.