Dr. Mansi Bhavsar
About
Dr. Mansi Bhavsar is an Assistant Professor in the Department of Computer Information Science at Minnesota State University, Mankato, whose research focuses on the intersection of Artificial Intelligence (AI), the Internet of Things (IoT), and Federated Learning. Her work is primarily dedicated to enhancing the security and privacy of decentralized networks, particularly in the context of Autonomous Vehicles (AVs) and edge-computing environments. By developing robust Intrusion Detection Systems (IDS) using machine learning, she addresses critical vulnerabilities in connected vehicular systems while ensuring that sensitive data remains localized on embedded devices. Dr. Bhavsar is an active contributor to the field of smart city technology, exploring how federated architectures can scale to support real-time, privacy-preserving applications in transportation and healthcare. She earned her Ph.D. from North Carolina Agricultural and Technical State University, where she specialized in developing anomaly detection frameworks for low-power IoT devices.
Research Performance Summary
First Recorded Paper
DATA ANALYSIS WITH TWITTER DATA MINING
Year: 2019
Citations: 0
Venue: Journal of Electrical Engineering and Computer Science 1 (03), 9
Latest Recorded Paper
Secure Encryption Model for Sensitive Data from Text Files
Year: 2025
Citations: 0
Venue: 2025 International Conference on Networks and Cryptology (NETCRYPT)
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.