Marwa Chafii

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About

Marwa Chafii is a pioneering researcher at the forefront of next-generation wireless communications, with expertise spanning machine learning for networks, multi-agent systems, and integrated sensing and communication (ISAC). Her work bridges the gap between artificial intelligence and telecommunications, addressing the complex demands of 5G and 6G network evolution. Chafii's most influential contribution explores emergent communication in multi-agent reinforcement learning, demonstrating how autonomous network entities can develop cooperative communication strategies to minimize delay and energy consumption in dynamic wireless environments — a paper that has already garnered 31 citations since its 2023 publication, reflecting its immediate relevance to the research community. She has also made significant contributions to advancing machine learning datasets for wireless communications, helping establish the data infrastructure necessary for intelligent network development as IoT devices proliferate beyond traditional mobile applications. Her recent investigations into radar cross-section characterization for ISAC channel modeling at millimeter-wave frequencies (25–28 GHz) highlight her expanding research portfolio into sensing-integrated network design, a critical pillar of future wireless systems. Through these diverse yet interconnected contributions, Chafii is establishing herself as a versatile and impactful voice in shaping the theoretical and practical foundations of tomorrow's intelligent wireless networks.