JIIT

Academic Experts

Mradula Sharma

Assistant Professor (Sr. Grade)

mradula.sharma@jiit.ac.in

Biography

Dr. Mradula Sharma is currently serving as Assistant Professor (Sr. Grade) in the Department of Computer Science at Jaypee Institute of Information Technology (JIIT), Noida. She holds a B.Tech in Information Technology from Galgotia College of Engineering & Technology (2007), an M.Tech in Information Security from MNNIT Allahabad (2012) and completed her Ph.D. in Computer Science from JIIT Noida in August 2024. Her doctoral thesis, titled "Robust Querying and Deep Learning Approaches for Distributed Data", focuses on privacy-aware machine learning and efficient federated learning systems.

Research Highlights

Her research is centered on federated learning, visual Cryptography, and privacy-preserving AI for distributed data environments.

Areas Of Interest

Federated Learning
Deep Learning
Information Security
Visual Cryptography

Publications

Sharma, M., & Kaur, P., “XLAAM: explainable LSTM-based activity and anomaly monitoring in a fog environment,” Journal of Reliable Intelligent Environments, 9(4), 463–477, July. 2022. [Scopus Indexed]
Sharma, M., & Kaur, P., “Reliable federated learning in a cloud-fog-IoT environment,” The Journal of Supercomputing, 79(14), 15435–15458, April. 2023. [SCIE, Scopus Indexed, Impact Factor: 3.3, H-Index: 74]
Sharma, M., & Kaur, P., "Fog-based Federated Time Series Forecasting for IoT Data." Journal of Network and Systems Management 32, no. 2-26, 2024. [SCIE, Impact Factor: 3.6]
Sharma, M., & Kaur, P., "Providing Low Cost IoT Enabled Security Solutions for High Intensity Regions," in Twelfth International Conference on Contemporary Computing (IC3), pp. 1-7. IEEE, 2019. [Scopus Indexed]
Sharma, M., & Kaur, P., "An Empirical study of Gradient Compression Techniques for Federated Learning," 2023 Second International Conference on Informatics (ICI), Noida, India, pp. 1-4, 2023. [Scopus Indexed]