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Faculty Profile

 

Lokesh Kumar Shrivastav

Assistant Professor
Department of Computer Science
Atma Ram Sanatan Dharma College, University of Delhi

Dhaula Kuan, New Delhi - 110021
E-Mail: lokesh.arsd@gmail.com, lokeshkshrivastav@arsd.du.ac.in

 

 

Educational Qualification

  • 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
Areas of Specialization / Interest

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

 

Subjects Taught

  • 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

 

 

Publications Profile

[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, "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.

[3]   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.

[4]    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 .

[5]   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.

[6]   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.

 

 

Conference Participation / Presentations

[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.