Maha Abdelhaq

Princess Nourah bint Abdulrahman University

Papers

Total Citations

204

H-Index

About

Dr. Maha Abdelhaq is a leading researcher at the intersection of artificial intelligence, wearable computing, and robotics, with a primary focus on human activity recognition (HAR) and autonomous systems. Her most impactful work, "Robust human locomotion and localization activity recognition over multisensory" (2024, 140 citations), advances the field by integrating data from Inertial Measurement Units (IMUs) and ambient sensors to improve the accuracy and robustness of HAR in real-world settings—critical for healthcare monitoring, sports analytics, and human-robot interaction. She has also pioneered deep learning approaches for aerial surveillance, as demonstrated in "Aerial Insights: Deep Learning-Based Human Action Recognition in Drone Imagery" (2023, 62 citations), enabling machines to interpret human behavior from drone footage for applications in security and search-and-rescue. Additionally, her work on "Diagnostic structure of visual robotic inundated systems with fuzzy clustering membership correlation" (2023) explores robotic automation for underwater inspection, addressing connectivity challenges in unstructured environments. With over 200 combined citations, Dr. Abdelhaq’s contributions are shaping next-generation intelligent systems that perceive and respond to human actions across terrestrial, aerial, and aquatic domains.