Rufaida Shamroukh
Jordan University of Science and Technology, Al-Balqa Applied University
Papers
2
Total Citations
33
H-Index
2
About
Rufaida Shamroukh is a researcher specializing in robotics, computer vision, and artificial intelligence, with a particular focus on autonomous systems for urban search and rescue (USAR) operations. Her work addresses one of the most pressing challenges in disaster response: the reliable detection of human survivors in dangerous, structurally compromised environments where human rescuers face significant risk. Shamroukh's most notable contributions center on developing intelligent robotic systems that combine passive infrared (PIR) sensing with low-cost camera technology and neural network-based image processing to identify living humans amid debris and destruction. Her 2009 paper on simulated autonomous robot detection laid the foundational framework for this approach, while her 2014 follow-up advanced the methodology into more practical, real-world robotic implementations — together accumulating over 33 citations within the research community. What makes her work particularly compelling is its emphasis on accessibility and practicality, leveraging affordable hardware components alongside sophisticated machine learning techniques. By bridging autonomous robotics with human detection algorithms, Shamroukh has contributed meaningfully to the growing field of rescue robotics, offering solutions with genuine life-saving potential in earthquake, collapse, and disaster scenarios.
Research Focus
Key Achievements
Top Papers
- 1
- 2