Dr. R.K.S. Rajput

Research Areas/ Areas of Interest

Courses Taught

Undergraduate Courses

• BPM261 - Programming FORTRAN and C
• BPM104 - Information and Communication Technology
• BPM203 - Computer Applications
• BPMN111 Basic Mathematics
• BPMN211 Bio Mathematics
• BPMN205 Agri Informatics/ Agri Informatics & Artificial Intelligent
• BPMN213 Tools for Biological Sequence Data Analysis

Postgraduate Courses

• BPM650 - Introduction to Computer and Programming
• BPM641 - Object-Oriented Programming
• BPM605 - Use of Computer Software
• BPM649 Foundation of Theoretical Computer Science

Doctoral Course

• BPS651 - Research Methodology
• BPS620 Data Sciences Concepts for Statistical Research

Research Supervision

• M.Sc. Students: Supervised 8 students and currently supervising 4 students.
• Ph.D. Scholars: Currently supervising 3 Ph.D. scholars.
• Advisory Committees: Currently member of the advisory committees of 40 students.

Selected Publications

Journal Articles

1. Bijlwan, A., Ranjan, R., Pokhariyal, S., Govind, A., Singh, M., Singh, K. P., Singh, R. K., Rajput, R. K. S., & Srivastava, R. K. (2025). Enhancing rice disease and insect-pest detection through augmented deep learning with transfer learning techniques. Smart Agricultural Technology, 11, Article 100954, 1–17.
2. Bijlwan, A., Ranjan, R., Singh, M., Singh, R. K., Srivastava, R. K., Singh, K. P., & Rajput, R. K. S. (2024). Multi-year temporal analysis of sheath blight incidence in rice using geostatistical technique. Pantnagar Journal of Research, 22(2), 297–304.
3. Dibyanshu, & Rajput, R. K. S. (2024). Exploring agricultural image data through deep learning for visual information analysis: A study on cabbage (Brassica oleracea var. capitata) farming. Journal of Statistics and Management Systems, 27(2), 501–513.
4. Rajput, M., Momin, T., Singh, A., Banerjee, S., Villasenor, A., Sheldon, J., Paudel, P., & Rajput, R. (2022). Determining the association between gut microbiota and its metabolites with higher intestinal immunoglobulin A response. Veterinary and Animal Science, 2022.
5. Rajput, R. K. S., Goyal, D., Pant, A., Sharma, G., Arya, V., & Rafsanjani, M. K. (2022). Cloud data centre energy utilization estimation: Simulation and modelling with iDR. International Journal of Cloud Applications and Computing, 12(1), 1–6.
6. Rajput, R. S., & Pant, A. (2018). Optimal resource management in the cloud environment: A review. International Journal of Converging Technologies and Management, 4(1), 12–24.

Conference Papers

1. Sameer, M., Rajput, R. K. S., Dibyanshu, Thukral, S., & Bijlwan, S. (2025). Enhancing rainfall forecasting accuracy: A comparative study of ARIMA, ANN, and hybrid models using agro-climatic data. In Proceedings of the Jangjeon Mathematical Society (Vol. 28, No. 4, pp. 713–725).
2. Mathpal, T., Rajput, R. K. S., Kunwar, B., Dibyanshu, & Pandey, S. (2023). Development of ensemble probabilistic machine learning models for rainfall predictions. In Proceedings of the International Conference on Mathematical Modelling, Applied Analysis and Computation (pp. 175–195). Springer Nature Switzerland.
3. Rajput, R. K. S., Hussain, R., & Goyal, D. (2022). Modelling and simulation of cloud service cost analysis using resource scheduling. In Proceedings of the International Conference on Data Science, Machine Learning and Artificial Intelligence (pp. 311–316). Association for Computing Machinery. https://doi.org/10.1145/3484824.3484905
4. Negi, A., Kumar, K., Chauhan, P., & Rajput, R. S. (2021). Deep neural architecture for face mask detection on simulated masked face dataset against COVID-19 pandemic. In 2021 International Conference on Computing, Communication, and Intelligent Systems (ICCCIS) (pp. 595–600). IEEE.
5. Rajput, R. K. S., Goyal, D., Hussain, R., & Pant, A. (2021). Modeling and simulation of scalable cloud environment using iDR. In 2021 International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON) (pp. 1–5). IEEE.
6. Negi, A., Chauhan, P., Kumar, K., & Rajput, R. S. (2020). Face mask detection classifier and model pruning with Keras-Surgeon. In 2020 5th IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE) (pp. 1–6). IEEE.

Patent

1. Rajput, R. K. S., Goyal, D., Hussain, R., & Pant, A. (2021). Method and system for modeling of scalable cloud environment (Indian Patent Application No. 202111011259 A).

Book Chapters

1. Dibyanshu, Rajput, R. K. S., Pandey, S., Mathpal, T., & Kunwar, B. (2024). Advancing efficiency in agricultural automation: A kinematic model for a parallel 4-DoF SCARA system. In Advances in mathematical modelling, applied analysis and computation (Vol. 952). Springer.
2. Kunwar, B., Rajput, R. K. S., Mathpal, T., Pandey, S., & Dibyanshu. (2024). Study of quadcopter movement using CFD and PID with numerical methods. In Advances in mathematical modelling, applied analysis and computation (Vol. 952). Springer.
3. Mathpal, T., Rajput, R. K. S., Kunwar, B., Dibyanshu, & Pandey, S. (2024). Development of ensemble probabilistic machine learning models for rainfall predictions. In Advances in mathematical modelling, applied analysis and computation (Vol. 953). Springer.
4. Pandey, S., Rajput, R. K. S., Dibyanshu, Kunwar, B., & Mathpal, T. (2024). Fuzzy edge detection for the identification of arachnoid cysts in brain images. In Advances in mathematical modelling, applied analysis and computation (Vol. 953). Springer.
5. Chauhan, P., Mandoria, H., Negi, A., & Rajput, R. S. (2020). Plant diseases concept in smart agriculture using deep learning. In Smart agricultural services using deep learning, big data, and IoT (Vol. 1). IGI Global.
6. Goyal, D., & Rajput, R. S. (2019). Smart agriculture practice for India. In The IoT and the next revolutions: Automating the world (pp. 229–251). IGI Global.