Working at CVR College of Engineering
Senior Assistant Professor in Statistics
EDUCATION
Ph.D in Statistics
University College of Science
Osmania University
Hyderabad
Telanganastate
India
RESEARCH INTERESTS
Operations Research, Time Series, Multivariate Data Analysis
4
Scopus Publications
21
Scholar Citations
3
Scholar h-index
1
Scholar i10-index
Scopus Publications
Crude Oil Price Prediction Using Artificial Neural Networks: A Time Series Modeling Approach V Swapna, B Vittal, G Vijaya Lakshmi Model Assisted Statistics and Applications, 2026 Crude oil is the primary fuel and its price has a direct impact on oil exploration, exploitation, and other activities, as well as on the environment and on our economy. Hence, it is among the world's most abundant resources today. Crude oil is essential to the functioning of every modern economy. Considering crude oil's high volume of trading, speculators, analysts, and economists have vested interest in correctly projecting the commodity's future spot price. However, predicting such an apparently uncertain, economic environment is one of the primary challenges of econometric models. Oil price forecasts based on fundamental, technical, and time series analysis have been met with mixed success. This highlights the requirement for more refined methods of predicting future crude oil prices. This study uses a neural network to objectively foretell the price of crude oil. There are thirteen predictors and one dependent variable in this study. In this study Neural Networks (NN) and time series techniques are used to forecast time series data and out of these NN have been found to be the most proficient method. The split in the data is 70-30. 30% of the data is being used to verify the accuracy of the network's predictions. Speculating on the future cost of crude oil, requires the employment of feed forward and back propagation algorithms. Latest neural networks techniques are quite predictive as time series models are beaten by even the simplest of neural networks. The results of the investigation showed that the back propagation algorithm is superior in predicting the cost of crude oil. Hence, ANN can be used by financiers, and forecasters.
Efficient and Secure Big Data Analytics via Federated Mining Techniques R.Gautham Goud, B.Vittal, A.Sadanandam, R.Banu Priya, G.Ganesh Kumar, S.P.Santhoshkumar Proceedings of the 9th International Conference on Electronics Communication and Aerospace Technology Iceca 2025, 2025 The exponential growth of large data provides huge opportunities for discovery of knowledge, but also increases important concerns about privacy, security and scalability. Traditional centralized data mining approaches increase the risk by collecting sensitive information in a single repository. To solve these challenges, this study proposes a data sources without highlighting raw data. Framework integrates secured multipratis computation, homomorphic encryption and differential secrecy to ensure privacy, reduce overhead and maintain efficiency. Healthcare, finance and image dataset displays that the proposed system only receives high future accuracy (92%) with high future-staging accuracy (92%) with only a minor trade-band compared to centralized learning (94%). Statistical results show a decrease of 80% in privacy leakage risk, 25% decrease in communication costs, and acceptable computational overhead (~ 1.5 ×). Strong tests confirm the flexibility against adverse hazards such as model inverted and data poisoning with a performance drop less than 5%. These findings validate the outline as a safe, accurate and scalable solution for real -world large data applications.
FINANCIAL EFFICIENCY OF INDIAN BANKS USING DATA ENVELOPMENT ANALYSIS APPROACH International Journal of Agricultural and Statistical Sciences, 2021
RECENT SCHOLAR PUBLICATIONS
Crude Oil Price Prediction Using Artificial Neural Networks: A Time Series Modeling Approach V Swapna, B Vittal, G Vijaya Lakshmi Model Assisted Statistics and Applications, 15741699261424807 , 2025 2025
TIME SERIES MODELLING AND PREDICTION OF WTI CRUDE OIL PRICES TREND USING MACHINE LEARNING TECHNIQUES. V Swapna, B Vittal, S Matta, KS Kumar, VV Haragopal International Journal of Agricultural & Statistical Sciences 20 (2) , 2024 2024 Citations: 1
Efficiency Analysis of Public and Private Sector Banks in India Using Slack-based Measure of Efficiency B Vittal Asian Journal of Probability and Statistics 26 (11), 157-171 , 2024 2024
Slack-Based Measure of Super-Efficiency in Data Envelopment Analysis: Benchmarking Practices in the Indian Banking Sector B Vittal, V Swapna International Conference on Computers, Management & Mathematical Sciences … , 2023 2023
An Application of Non-Linear Regression Analysis for Predicting Cure Kinetic Model Parameters of Rubber Industry TK B. Vittal, S Indira GIS Science Journal 9 (09), 01-07 , 2022 2022
Selection and Analysis of Input-Output Variables using Data Envelopment Analysis of Decision Making Units-Indian Private Sector Banks B Vittal, R Nellutla, MK Reddy 2021 Citations: 11
Application of Slack Based Measure of Efficiency in Data Envelopment Analysis:Review on Public Sector Banks in India MKR B. Vittal International Journal of Advances in Engineering and Management 3 (5), 1420-1428 , 2021 2021 Citations: 3
Financial Efficiency of Indian Banks using Data Envelopment Analysis Approach B Vittal, MK Reddy Int. J. Agricult. Stat. Sci. Vol 17 (1), 949-955 , 2021 2021 Citations: 2
Statistical Analysis of rainfall moving trend in Telangana State B Vittal, MK Reddy Int. J. Sci. Res. in Mathematical and Statistical Sciences Vol 6 (4) , 2019 2019 Citations: 4
Comparative study of literacy rate in Telangana state and India using holt’s double exponential smoothing approach B Vittal, MK Reddy 2019
Statistical Analysis of Sensex and Nifty B Vittal Emerging Trends in Management Practices 1 (01), 58-62 , 2017 2017
A STUDY ON LITERACY RATE IN AP AND INDIA B Vittal CVR Journal of Science and Technology 8 (05), 35-45 , 2015 2015
MOST CITED SCHOLAR PUBLICATIONS
Selection and Analysis of Input-Output Variables using Data Envelopment Analysis of Decision Making Units-Indian Private Sector Banks B Vittal, R Nellutla, MK Reddy 2021 Citations: 11
Statistical Analysis of rainfall moving trend in Telangana State B Vittal, MK Reddy Int. J. Sci. Res. in Mathematical and Statistical Sciences Vol 6 (4) , 2019 2019 Citations: 4
Application of Slack Based Measure of Efficiency in Data Envelopment Analysis:Review on Public Sector Banks in India MKR B. Vittal International Journal of Advances in Engineering and Management 3 (5), 1420-1428 , 2021 2021 Citations: 3
Financial Efficiency of Indian Banks using Data Envelopment Analysis Approach B Vittal, MK Reddy Int. J. Agricult. Stat. Sci. Vol 17 (1), 949-955 , 2021 2021 Citations: 2
TIME SERIES MODELLING AND PREDICTION OF WTI CRUDE OIL PRICES TREND USING MACHINE LEARNING TECHNIQUES. V Swapna, B Vittal, S Matta, KS Kumar, VV Haragopal International Journal of Agricultural & Statistical Sciences 20 (2) , 2024 2024 Citations: 1
Crude Oil Price Prediction Using Artificial Neural Networks: A Time Series Modeling Approach V Swapna, B Vittal, G Vijaya Lakshmi Model Assisted Statistics and Applications, 15741699261424807 , 2025 2025
Efficiency Analysis of Public and Private Sector Banks in India Using Slack-based Measure of Efficiency B Vittal Asian Journal of Probability and Statistics 26 (11), 157-171 , 2024 2024
Slack-Based Measure of Super-Efficiency in Data Envelopment Analysis: Benchmarking Practices in the Indian Banking Sector B Vittal, V Swapna International Conference on Computers, Management & Mathematical Sciences … , 2023 2023
An Application of Non-Linear Regression Analysis for Predicting Cure Kinetic Model Parameters of Rubber Industry TK B. Vittal, S Indira GIS Science Journal 9 (09), 01-07 , 2022 2022
Comparative study of literacy rate in Telangana state and India using holt’s double exponential smoothing approach B Vittal, MK Reddy 2019
Statistical Analysis of Sensex and Nifty B Vittal Emerging Trends in Management Practices 1 (01), 58-62 , 2017 2017
A STUDY ON LITERACY RATE IN AP AND INDIA B Vittal CVR Journal of Science and Technology 8 (05), 35-45 , 2015 2015
