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@@ -28,7 +28,7 @@ <h2>From Edge to Extreme Edge: Exploring the Dimensions of AI Inference in IoT |
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                     <p><strong>About Speaker:</strong> 
-                        Roberto Morabito is a Senior Researcher in Computer Networks and Ubiquitous Computing at the Department of Computer Science of the University of Helsinki (Finland). From May 2014 to April 2022, he worked at Ericsson Research Finland in the teams of Cloud and System Platforms (until  March 2018) and IoT Technologies and Cyber-Physical Systems. From 2014 to 2018, he was also a Marie Sklodowska-Curie research fellow of the FP7 ITN project "METRICS" and, in May 2019, he received a PhD in Networking Technology from Aalto University (Finland). From June 2019 to March 2021, he was a research associate at the EDGE LAB of the School of Electrical and Computer Engineering at Princeton University (USA). He has also held visiting researcher positions at INRIA Lille (France), the Technical University of Munich (Germany), and Yale University (USA).
+                        Roberto Morabito is an Assistant Professor in the Communication Systems Department at EURECOM, France. Before joining EURECOM, he was a Senior Researcher at the Department of Computer Science, University of Helsinki. From May 2014 to April 2022, he was part of Ericsson Research Finland, contributing to the Cloud and System Platforms teams until March 2018, and subsequently to the IoT Technologies and Cyber-Physical Systems team. Between 2014 and 2018, Roberto was a Marie Skłodowska-Curie research fellow within the FP7 ITN project 'METRICS.' He earned his PhD in Networking Technology from Aalto University, Finland, in May 2019. From June 2019 to March 2021, he served as a Postdoctoral Researcher at the EDGE LAB, School of Electrical and Computer Engineering, Princeton University, USA. Roberto has also been a visiting researcher at INRIA Lille, France, the Technical University of Munich, Germany, and Yale University, USA. His work intersects IoT, Edge Computing, and Distributed AI, focusing on trade-offs in AI service provisioning and orchestration under computing and networking resource constraints. Recently, he started exploring the impact of generative AI, like Large Language Models, in these contexts. Previously, he investigated diverse topics in networked systems, including IoT protocols, virtualization, and service mesh technologies.
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