Max Robotics — Global Service Robot Directory + US Certification

About

Roghayegh Mojarad is a researcher at the forefront of human-robot interaction and ambient intelligence, specializing in context-aware systems for human behavior analysis. Her work focuses on developing hybrid frameworks that enable ubiquitous robots and Ambient Assisted Living (AAL) systems to intelligently recognize, interpret, and respond to human activities—both normal and abnormal. Mojarad’s key contributions include pioneering hybrid approaches that integrate sensor data, contextual information, and machine learning to achieve robust human activity recognition, as demonstrated in her highly cited 2018 paper (19 citations). She has advanced the field by creating context-aware adaptive recommendation systems for personal well-being services, addressing critical challenges in content-based filtering to promote healthier lifestyles. Her 2023 framework for normal and abnormal behavior recognition (12 citations) represents a significant step toward preventing dangerous situations for vulnerable populations, such as the elderly living independently. With over 55 cumulative citations across her most influential works, Mojarad’s research is shaping the next generation of proactive, context-aware assistive technologies that enhance autonomy, safety, and quality of life.