Designation:

Assistant Professor

Email:

Phone:

Qualifications:

Ph.D (Prusuing), M.Tech, B.Tech, PGDIB

Course Involvement:

1. Cloud Computing for Business
2. Social Media Analytics
3. Text and Sentiment Analysis
4. Power BI
5. Excel for Managers
6. Java, Python, PHP
7. Machine Learning

Principal Publications:

1. Verma, M., & Nand, P. (2025). Adaptive differential privacy for protecting user confidential information on Android devices. Journal of Information Technology Management, 17(Special Issue), 155–167.
2. Verma, M., & Nand, P. (2025). Enhancing privacy protection on Android devices through federated learning and differential privacy. MATRIX Academic International Online Journal of Engineering and Technology, 8(1), 1–10. Retrieved from https://maiojet.com/index.php/matrix/article/view/75
3. Verma, M., & Nand, P. (2024). VADER-RF: A novel scheme for protecting user privacy on Android devices. International Journal of System Assurance Engineering and Management, 15(8). https://doi.org/10.1007/s13198-024-02461-1
4. Verma, M., & Nand, P. (2023). A profile-based privacy protection method using sandbox environment and k-anonymity: Computer data privacy. In International Conference on Communication, Security and Artificial Intelligence (ICCSAI) (pp. 119–123). IEEE. https://doi.org/10.1109/ICCSAI59793.2023.10421582
5. Agrawal, M., Varshney, G., Saumya, K. P. S., & Verma, M. (2022). Pegasus: Zero-click spyware attack–its countermeasures and challenges. Unpublished manuscript.
6. Bhargav, R., Jain, V., & Verma, M. (2022). A DDoS attack detection on cloud framework using improved features based machine learning approach. In 2022 Second International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT) (pp. 1–6). IEEE.
7. Verma, M., & Nand, P. (2022). Review on the static analysis techniques used for privacy leakage detection in Android apps. In ICAAAIML 2022: Advances and Applications of Artificial Intelligence and Machine Learning (pp. 341–352). Springer Nature Singapore.
8. Awasthi, A., Nand, P., Verma, M., & Astya, R. (2021). Drowsiness detection using behavioral-centered technique: A review. In 2021 11th International Conference on Cloud Computing, Data Science & Engineering (Confluence) (pp. 1008–1013). IEEE.
9. Awasthi, A., Nand, P., & Verma, M. (n.d.). Drowsiness detection using transfer learning. In Recent development in engineering and technology (p. 406).
10. Singh, A., Singh, B. K., & Verma, M. (2012). Comparison of different algorithms of face recognition. VSRD International Journal of Electrical, Electronics and Communication Engineering, 2(5), 272–278.
11. Singh, A., Singh, B. K., & Verma, M. (n.d.). Locality–constrained collaborative representation using KD tree. International Journal of Advances in Electrical and Electronics Engineering, 2, 131–137. Retrieved from http://www.ijaeee.com & http://www.sestindia.org
12. Verma, M., & Agarwal, S. (2009). Fingerprint based male-female classification. In Proceedings of the International Workshop on Computational Intelligence in Security for Information Systems CISIS’08 (pp. 251–257). MNNIT Allahabad U.P. India.

Patents:

1. Verma, M., Nand, P., Sharma, P., Rajput, A. K., Rakesh, N., Roy, N. R., & Rajoriya, M. (2024). Smart beverage brewing device (IN Patent 500,954).