Rashmi Sharma
NMIMS, Symbiosis International University, Jaypee University of Information Technology, Shri Vaishnav Vidyapeeth Vishwavidyalaya
0000-0002-1409-4664
About
Dr. Rashmi Sharma is a Professor in the Department of Computer Engineering at MPSTME, SVKM’s NMIMS University, Shirpur Campus. She earned her Ph.D. in Real-Time Distributed Systems from Jaypee University of Information Technology in 2014 and has over 15 years of academic and research experience. Her research spans Real-Time and Distributed Systems, Entropy-based Modeling, IoT, Blockchain, and Machine Learning. She has authored around 60 research publications in peer-reviewed journals and IEEE conferences, contributed to books with CRC Press and Springer, and secured multiple national patents. An Innovation Ambassador certified by AICTE-MoE, she has mentored doctoral and postgraduate scholars and serves as a reviewer and session chair in international conferences. Her academic leadership includes roles in discipline monitoring, research development, and innovation council activities across institutions.
Employment
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NMIMS Professor2025 - Present
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Symbiosis International University Associate Professor2024 - 2025
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Shri Vaishnav Vidyapeeth Vishwavidyalaya Assiciate Professor2022 - 2024
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University of Petroleum and Energy Studies Assistant Professor2014 - 2022
Education
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Jaypee University of Information Technology PhD2010 - 2014
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Jaypee University of Information Technology PhD2010 - 2014
Projects & Funding
Projects & funding information is unavailable.
Publications (61)
- A Triage System Based Approach With AI-Driven Management In Bugs Resolving Application Save
- Optimized electric vehicle charging: solar-driven wireless power transfer system Save
- Vocal features based Parkinson’s detection: An ensemble learning approach Save
- Triple Branch MRC Receivers Under Spatial Interference Correlation and Nakagami Fading Save
- THz Connect: Energy-Efficient 6G Small Cells With Fuzzy Power Control and Advanced Clustering Save
- Robust Signal Processing Approaches for Enhancing Communication Reliability in Ultra-Dense Massive MIMO Networks Facing Fading Challenges Save
- Revolutionizing Smart Transportation with Federated Learning: Applications, Challenges, and Future Directions Save
- Revolutionizing Industry 4.0: Multi-level Federated Learning for a Dynamic Ecosystem Save
- Quantifying Performance Trade-offs in Network Virtualization for Cloud Computing Environments Save
- Predicting Customer Churn Rate Using Machine Learning Save