Bhavya Pareek
Papers
1
Total Citations
15
H-Index
1
About
Bhavya Pareek is a researcher at the intersection of computer vision, autonomous systems, and edge computing, with a focus on intelligent drone-based solutions for real-world surveillance and search-and-rescue operations. In their most-cited work, "Person Identification using Autonomous Drone through Resource Constraint Devices" (2019, 15 citations), Pareek tackles the critical challenge of identifying a specific individual in a crowd using a drone integrated with resource-constrained hardware. By combining advanced algorithms with smart, low-power materials, this work proposes a scalable framework for locating missing persons in dense environments—a contribution that bridges the gap between high-performance AI and practical deployment on lightweight aerial platforms. This research not only demonstrates Pareek’s ability to innovate under hardware limitations but also highlights their commitment to socially impactful technology. With growing interest in autonomous surveillance and humanitarian drone applications, Pareek’s work stands as a foundational step toward efficient, real-time person identification in the wild. Their approach continues to inspire further exploration into edge-AI for drones, making them a notable voice in the evolving field of resource-aware autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1