About Tommaso Melodia Tommaso Melodia is the William Lincoln Smith Chair Professor with the Department of Electrical and Computer Engineering...
Seguir leyendo arrow_right_altIn the latest 3GPP releases, specific use-cases for AI/ML algorithms have been recognized and specified. The integration of AI/ML functional...
Seguir leyendo arrow_right_altWe consider the problem of outlier detection in the context of functional data analysis (FDA). Observations in FDA context are...
Seguir leyendo arrow_right_altI have spent the last decade designing techniques to improve and enhance the performance of the content distribution networks (CDNs)...
Seguir leyendo arrow_right_altIn the past decade, Deep Neural Networks (DNNs) have achieved unprecedented improvement in the inference accuracy for several hard-to-tackle applications...
Seguir leyendo arrow_right_altWireless communication is a transformative technology that has changed the way we work, communicate and enjoy our free time. The...
Seguir leyendo arrow_right_altAs the Wi-Fi technology transitions into mmWave bands, there is a growing consensus on the need to support new functions...
Seguir leyendo arrow_right_altRandom-based medium access protocols are often considered inefficient and unstable from a game theoretic perspective, because the players (i.e., the...
Seguir leyendo arrow_right_altLa Noche Europea de los Investigadores e Investigadoras de Madrid 2022 coordinada en por la Fundación para el Conocimiento madrimasd, es una acción...
Seguir leyendo arrow_right_altThe Android Open Source Project (AOSP) was first released by Google in 2008 and has since become the most used...
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