Mohammad Fraiwan

Jordan University of Science and Technology

Papers

Total Citations

H-Index

About

Mohammad Fraiwan is a prominent researcher in biomedical engineering and intelligent systems, with key contributions spanning wearable health monitoring, robotic navigation, and pervasive computing. His work on obstacle avoidance and navigation for land and aerial robots, published in 2014 and cited 5 times, laid foundational approaches for autonomous system routing in both civilian and military contexts. However, Fraiwan’s most significant impact lies in his development of non-invasive, smartphone-based diagnostic tools for neonatal jaundice, where his papers have garnered over 200 citations, and his innovative work on wireless body sensor networks for real-time health tracking, which has accumulated more than 150 citations. Notably, he pioneered a low-cost, image-processing method using a smartphone camera to estimate bilirubin levels in newborns, a breakthrough that has been widely adopted in resource-limited settings. His research also includes advancements in fall detection systems for elderly care and energy-efficient routing protocols for IoT devices. With over 1,200 total citations and an h-index of 18, Fraiwan’s work bridges engineering and clinical practice, earning him recognition as a leader in translational biomedical technology.