Nada A. Nabeeh

Papers

Total Citations

263

H-Index

About

Dr. Nada A. Nabeeh is a leading researcher in artificial intelligence, decision support systems, and medical informatics, with a particular focus on leveraging disruptive technologies for real-world problem-solving. Her most impactful work includes the highly cited 2020 study "An intelligent framework using disruptive technologies for COVID-19 analysis," which has garnered over 260 citations, demonstrating its critical role in pandemic response. This research pioneered the integration of machine learning, IoT, and cloud computing to analyze and predict COVID-19 spread, offering a scalable framework for public health decision-making. Beyond this, Dr. Nabeeh has made significant contributions to fuzzy logic, neutrosophic sets, and multi-criteria decision-making, advancing how uncertain and incomplete data are handled in complex systems. Her work is widely recognized for bridging theoretical AI models with practical applications in healthcare, disaster management, and sustainable development. With numerous publications in top-tier journals and a growing citation impact, Dr. Nabeeh continues to inspire students and researchers by demonstrating how intelligent systems can address pressing global challenges.