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About

Elisabeth de Carvalho is a pioneering researcher at the forefront of next-generation wireless communications, with key contributions spanning massive connectivity for the Internet of Things (IoT) and the emerging field of Large Intelligent Surfaces (LIS). Her most influential work, the 2018 paper "Sparse Signal Processing for Grant-Free Massive Connectivity," which has garnered over 517 citations, establishes a foundational paradigm for random access protocols in massive machine-type communications. This work addresses the critical challenge of connecting billions of sensors and devices efficiently, proposing novel sparse signal processing techniques that enable grant-free access—a transformative approach for future IoT networks. More recently, de Carvalho has been instrumental in advancing LIS technology for integrated sensing and communication, as demonstrated in her 2021 primer on LIS for industrial wireless sensing. Her research explores how these intelligent surfaces can simultaneously provide high-capacity communication and environmental sensing capabilities, including innovative applications like floor map reconstruction through radio sensing. By bridging theoretical foundations with practical implementations for Industry 4.0 and 6G systems, de Carvalho's work is shaping the future of wireless networks, where massive connectivity and intelligent sensing converge to enable unprecedented applications in autonomous systems and smart environments.