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About

Mariette Awad is a prominent researcher whose work spans multi-agent systems, cooperative robotics, decision-making algorithms, and millimeter-wave localization technologies. Her most influential contribution, "Cooperative Heterogeneous Multi-Robot Systems" (2019), has garnered over 416 citations, establishing her as a leading voice in the growing field of heterogeneous multi-agent systems (MAS) — a domain increasingly critical as Internet of Things deployments expand globally. This work systematically surveys the state of the art while identifying key limitations in existing frameworks, providing a foundational reference for researchers and practitioners alike. Awad's expertise extends into intelligent decision-making for MAS, as demonstrated by her highly cited 2018 survey on multiagent decision-making (212 citations), which addresses real-world applications including smart grids, intelligent transport, and sensor networks. Beyond multi-agent systems, she has made notable technical contributions to indoor localization and robotic navigation, particularly through her pioneering MOSAIC framework for mmWave-based SLAM without prior environmental knowledge. Her geometric approach combining Angle-of-Arrival and Time-of-Arrival techniques further underscores her interdisciplinary reach. With over 700 cumulative citations across her most recognized works, Awad's research meaningfully advances autonomous systems and next-generation wireless-enabled robotics.