• Ph. D. (Computer Science Engineering), USICT, GGSIPU, NEW DELHI - Pursuing
• M. Tech. (CSE), Amity University, Noida, Uttar Pradesh.
• UGC NET and GATE qualified.
• Master of Computer Applications
• B. Sc.(H) Physics

• Mathematical modeling of infectious disease dynamics and prediction,
• Artificial Neural Network
• Machine Learning
• Data Science

• B. Sc. (H) GE: Introduction to Programming, Introduction to Database Systems
• B.Sc. (Physical Sciences):  Data Analysis using Python Programming.
• B.Sc. (H) Computer Science: Computer Graphics, Design and Analysis of Algorithms, Database Management Systems, Data Science, Programming in Python and Android Programming

[1]   L. K. Shrivastav and S. Jha, "A gradient boosting machine learning approach in modeling the impact of temperature and humidity on the transmission rate of COVID-19", Applied Intelligence, Springer, 2020, https://doi.org/10.1007/s10489-020-01997-6

[2].  L. K. Shrivastav and R. Kumar, "Gradient Boosting Machine and Deep Learning approaches in big data analysis: a case study of stock market", Journal of Information Technology Research, IGI Global, Volume 15, Issue 1, Article 1, 2022 DOI: 10.4018/JITR.2022010101.

[3].  L. K. Shrivastav and R. Kumar, "An Ensemble of Random Forest Gradient Boosting Machine and Deep Learning methods for Stock Price Prediction", Journal of Information Technology Research, IGI Global, Volume 15, Issue 1, Article 2, 2022, DOI: 10.4018/JITR.2022010102.

[4]   L. K. Shrivastav and R. Kumar, "High Frequency Stochastic Data Analysis using Machine Learning Framework - A Comparative Study", Cognitive Computing Systems Applications and Technological Advancements, Apple Academic Press, Taylor & Francis, pp 1-29, 2021.

[1]   L. K. and R. Kumar "An Empirical Analysis of Stock Market Price Prediction using ARIMA and SVM,", 6th International Conference on Computing for Sustainable Global Development (INDIACom), pp 173-178, IEEE, 2019.

[2]    L. K. Shrivastav and R. Kumar, "A Novel Approach towards the Analysis of Stochastic High Frequency Data Analysis using ARIMA Model", International Journal of Information Systems & Management Science, Vol. 2, No. 2, Elsevier,2019 .

[3]   L. K. Shrivastav and R. Kumar, "A comprehensive survey of applications of Machine Learning Techniques in Stock Market Prediction", International Conference on "Computing for Sustainable Global Development, pp. 2316-2321,  IEEE, 2018.

[4]   A. Puri and L. K. Shrivastav, "Converting Thought to Speech Using Deep Learning Algorithms", 5th International Conference on "Computing for Sustainable Global Development", 14th - 16th March, IEEE, 2018.