MASNRD
Project Overview
Challenges
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About
The Multi-Agent Search and Rescue Drone (MASNRD) system is a human-drone collaboration framework designed to locate victims in urban natural disasters using mobile device signals. Drones equipped with radio frequency (RF) sensors detect Wi-Fi signals from trapped survivors, even through obstacles like concrete. MASNRD’s hierarchical planning algorithm assigns drones to search regions based on signal clustering, ensuring efficient coverage. The system features an intuitive user interface for real-time adjustments, enabling fast, scalable, and accurate victim detection, with a demonstrated 99.7% success rate in testing
Team
Ivan Feng
Singapore University of Technology and Design
A SUTD Computer Science graduate and Public Service Commission Scholar, I specialise in deep learning and cryptography. During my internship, I developed secure solutions through experiences at DSTA and Nutanix.
Nguyen Bao Long Tran
Singapore University of Technology and Design
Long Tran is a postgraduate at SUTD, pursuing a Master of Engineering. Together with a team of 7, his capstone project was conducted under the supervision of Associate Professor Malika Meghjani, addressing search and rescue challenges in disaster scenarios, developing an RF sensor, drone autonomy, a real-time operator interface, and a 3D simulator. With experience spanning industry, academia, and startups, Long excels in building scalable, high-availability systems, automating workflows, and leveraging AI and real-time analytics to drive social impact.
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