Salman Jalalifar
Papers
1
Total Citations
18
H-Index
1
About
Salman Jalalifar is a researcher advancing water safety through intelligent surveillance technologies. His primary focus lies in developing and reviewing computational approaches for drowning detection, a critical area addressing one of the leading causes of accidental death worldwide. In his highly cited 2024 work, "Enhancing Water Safety: Exploring Recent Technological Approaches for Drowning Detection," Jalalifar provides a comprehensive overview of emerging systems that leverage computer vision and sensor fusion to monitor pools and waterways in real time. This paper, which has already garnered 18 citations shortly after publication, synthesizes recent breakthroughs in machine learning and image processing aimed at reducing response times and preventing fatalities. By systematically evaluating these technological interventions, Jalalifar’s contribution helps bridge the gap between academic research and practical, life-saving applications. His work is particularly valuable for engineers and public safety officials seeking to implement robust, automated surveillance solutions that can alert lifeguards instantly. Through this focused research, Jalalifar is establishing himself as a key voice in the intersection of computer vision, public health, and aquatic safety.
Research Focus
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Top Papers
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