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About

Lynda Mokdad is a leading researcher at the intersection of affective computing, intelligent vehicular networks, and smart surveillance systems. Her work pioneers the integration of virtual emotion informatics into task-oriented frameworks, creating novel architectures that bridge human emotional states with machine decision-making. Mokdad’s most cited paper, “Task-Oriented Surveillance Framework for Virtual Emotion Informatics in Polygon Spaces” (15 citations), establishes foundational methods for processing emotional data in computational environments. She has further advanced the field by introducing the critical distinction between Green AI and Red AI in 6G convergent terrestrial and non-terrestrial vehicular networks (13 citations), where Green AI prioritizes energy efficiency while Red AI pursues maximum accuracy. Her contributions to affective surveillance management in smart complex infrastructure (13 citations) demonstrate practical applications for emotion sensing, eHealth, and metaverse technologies. Mokdad also addresses safety challenges through her work on time-varied self-reliance aerial ground traffic monitoring systems with pre-recognition collision avoidance (5 citations). With all major publications appearing in 2023, her rapidly growing citation record signals her emergence as a key voice in shaping how emotional intelligence and artificial intelligence converge to create more responsive, human-aware technological ecosystems.