Papers
6
Total Citations
58
H-Index
4
About
M. Bhavsingh is a researcher whose work sits at the intersection of wireless sensor networks, blockchain security, and computer vision. His most impactful contribution addresses the critical "hotspot problem" in IoT-enabled wireless sensor networks, where he introduced a Bug2 algorithm-based data fusion method that leverages mobile elements for efficient data gathering—a paper that has garnered 31 citations and offers a practical solution to network isolation and degradation. In the realm of cybersecurity, Bhavsingh has developed blockchain-based frameworks to enhance privacy and security in online transactions and IoT communications, contributing to the growing need for decentralized trust in digital ecosystems. His research also extends to real-time surveillance, with work on weapon detection in CCTV footage using YOLOv7, and to predictive modeling through pedestrian behavior analysis with deep learning. With a total of over 50 citations across his most-cited works, Bhavsingh demonstrates a versatile and applied approach to solving contemporary challenges in networking, security, and intelligent systems, making his research relevant for students and practitioners working on IoT, blockchain, and AI-driven safety solutions.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6