1)KLAP Sarma, B satyanarayana, PTV
Praveen kumar “ Shortest path routing
algorithm based on modified debruijn graphs” Acharya Nagarjuna
International Journal of Mathematics and Information Technology vol 5(2008) pp:
26-34,
2) A Rajendra Prasad, KLAP Sarma and Praveen kumar “Critical comparison of some interesting statistics incase of mean of normal population by considering variance as nuisance parameter using Bootstapping technique-II” The Icfai Journal of Computational Mathematics Vol II No 3 (2009) pp:52-65,
3) Madhu Poornima Mamidala, Anupama Polinedi, Praveen Kumar P.T.V , N. Rajesh, Om Sai Ramesh Vallamkonda, V rajesh Udani , Nidhi Singhal, Vidya Rajesh "Prenatal, perinatal and neonatal risk factors of Autism Spectrum Disorder : A comprehensive epidemiological assessment from India" Research in Developmental Disabilities 34 (2013), pp:3004-3013: ELSEVIER. Impact Factor 1.834,
4) Madhu Poornima Mamidala, Anupama Polinedi,Praveen Kumar P.T.V , N. Rajesh, Om Sai Ramesh Vallamkonda, V rajesh Udani , Nidhi Singhal, Vidya Rajesh "Maternal hormonal interventions as a risk fators for Autism Spectrum Disorder: an epidemiological assessment from india”, Journal of Biosciences, 38 (2013), pp:887–892, SPINGER, Impact Factor 1.645,
5) Madhu P. Mamidala, Mahesh K. Kalikiri, Praveen Kumar P.T.V., N. Rajesh, Om sai R. Vallamkonda, and Vidya Rajesh "Consanguinity in India and Its Association With Autism Spectrum Disorder", Autism Research, 8(2), (2015), pp:224-228, Wiley, Impact Factor 3.727,
6) Prashanthi K, Praveen Kumar P.T.V, Nadumane VK. Optimization of culture variables for the production of cytotoxic yellow pigment using response surface methodology. International Journal of Biology, Pharmacy and Allied sciences. 4(4)(2015), pp:2047-2057,
7) V. Selvakumar, Dipak Kumar Satpathi, P. T. V. Praveen Kumar, V. V. Haragopal, “Forecasting motor insurance claim amount using ARIMA model”, AIP Conference Proceedings, 2246, (2020) 020005,
8) Karthik Alasakani, Sai Lakshmi Radhika Tantravahi, Praveen Kumar, “An Approach to Identify Significant Parameters in Blood Flow Through Human Arteries”, Science &Technology Asia, 25(1) (2020), pp:95-105,
9) V Selvakumar, Dipak Kumar Satpathi, P.T. V Praveen Kumar, V V Haragopal “Modeling and Prediction of third-party Claim using a Machine learning approach” Indian Journal of Science and Technology, 13(21), (2020) ,pp: 2071-2079 ,
10) V Selvakumar, Dipak Kumar Satpathi, P.T. V Praveen Kumar, V V Haragopal ,”Modeling and “Prediction of Motor Insurance Claim Amount using Artificial Neural Network”, International Journal of Recent Technology and Engineering, 8(6), (2020), pp:4751-4757,
11) V. Selvakumar, Dipak Kumar Satpathi, P. T. V. Praveen Kumar,V.V. Haragopal, “Predictive Modeling of Insurance Claims using Machine Learning Approach for Different Types of Motor Vehicles”, Universal Journal of Accounting and Finance, 9(1), (2021) ,pp:1 – 14,
12) Karthik Alasakani, Radhika S. L. Tantravahi, Praveen Kumar PTV, “On Refining the Input Data Set to Mathematical Models Simulating Arterial Blood Flow in Humans”, WSEAS Transactions on Fluid Mechanics,16(2021),pp: 63-73,
13)A Karthik, T S L Radhika, P T V Praveen Kumar, "Mathematical Modeling of Blood flow through Human Femoral Arteries and the Analysis of Model Parameters", International Journal of Applied and Computational Mathematics(Springer Nature India Private Limited 2022) , Published online: 20 January 2022 , [https://doi.org/10.1007/s40819-021-01228-7]
14) V Selvakumar, Dipak Kumar Satpathi, P.T.V. Praveen Kumar, V.V. Haragopal, "Modeling of Motor Insurance Extreme Claims through Approriate Statistical distributions, Studies in Applied Economics, [Volume 40-2, January 2022 // ISSN: 1133-3197 ]
15) V. Sree Hari Rao, T. S L. Radhika and P.T.V. Praveen Kumar, Towards a Comprehensive Understanding of COVID-19 Pandemic, J. Innovation Sciences and Sustainable Technologies, 1(2)(2021), 139-152.