Eila Erfani
Papers
1
Total Citations
18
H-Index
1
About
Dr. Eila Erfani is a leading researcher at the intersection of computer vision, artificial intelligence, and public safety, with a primary focus on drowning detection and water safety systems. Her most-cited work, "Enhancing Water Safety: Exploring Recent Technological Approaches for Drowning Detection" (2024, 18 citations), provides a comprehensive overview of state-of-the-art surveillance technologies designed to prevent aquatic fatalities. Dr. Erfani’s major contribution lies in systematically analyzing and advancing computer vision and sensor-based approaches that enable real-time, automated drowning detection in pools and natural waterways. Her research addresses a critical global health challenge, as drowning remains a leading cause of unintentional injury death worldwide. By synthesizing recent technological breakthroughs—including deep learning models, wearable sensors, and intelligent monitoring systems—she has laid the groundwork for more reliable, rapid-response safety solutions. Dr. Erfani’s work is particularly impactful for developers of smart pool systems, lifeguard support tools, and public safety infrastructure. Her findings not only highlight the potential of AI-driven surveillance but also identify key research gaps and future directions, making her a pivotal voice in the ongoing effort to make water recreation safer for everyone.
Research Focus
Key Achievements
Top Papers
- 1