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About

Noel Maalouf is a robotics researcher whose work bridges assistive technology, autonomous navigation, and human-robot interaction. His most influential contribution, "Robotics in Nursing: A Scoping Review" (154 citations), established him as a key voice in addressing global healthcare challenges through robotic solutions. Maalouf’s research spans visual SLAM for dynamic environments, multi-robot collaborative manipulation, and terrain classification for bipedal robots—demonstrating a commitment to making robots more adaptive and context-aware. His recent work on CARE (2025) proposes AI-driven personalized education for elementary students, while his humanoid push recovery and biomimetic gait design studies advance robot stability and locomotion. Maalouf also explores novel human-robot interfaces, including augmented reality for online terrain classification and virtual assistant integration. With over 220 total citations and publications in both simulation and real-world robotics, his research consistently targets practical deployment challenges—from nursing shortages to classroom learning. His work on foothold selection using CNNs for soft-footed robots and sensor-based terrain identification showcases his ability to combine machine learning with mechanical design. Maalouf’s career reflects a dedication to creating robots that are not only technically robust but also socially impactful.