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[2023.11.24(금)] AI Convergence Network Colloquium & Artificial Intelligence개최 안내
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- Writer 관리자
- Date 2023-11-16 14:59:21
- Hit 165
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대학원 인공지능학과 & AI융합네트워크학과에서는 AI Convergence Network Colloquium & Artificial Intelligence을 11월 24일(금) 오후 5시에 개최하오니 많은 참여 부탁드립니다.
 When : 2023년 11월 24일(금), 오후 5시
Where : 온라인(Zoom)
회의 ID: 848 4195 6124, 암호: 3647 Speaker : Prof. Leonardo Linguaglossa(Telecom Paris, France)
Title : Measurements and analysis in high-speed software networks, or "the data uncertainty principle"
Abstract : Measurements in high-speed networks are very important, yet very challenging to obtain. As any analysis is only as good as the obtained observations, if measurements do not correspond to the system under test, this will impact all the subsequent analysis. In particular, when networking is implemented in software - as is the case for Network function virtualization (NFV) - measurement operations can highly affect the state of the system being measured. In this presentation we tackle the problems of data acquisition and analysis in NFV networks and present a novel approach based on indirect, non-invasive data collection and the integration of compact ML techniques in standard commercial off-the-shelf equipment. Our objective is to provide a methodology for advanced operation, administration, and maintenance (OAM) functionalities that can be easily integrated into the existing network infrastructure. This presentation is organized as follows: (i) we present the context, positioning and objectives of our project; (ii) we present our proposed methodology and (iii) we showcase our results for one use-case, namely the inference of network state using indirect measurements.
Bio : Leonardo Linguaglossa is currently associate professor - maître de conférences - at Telecom Paris (France). In 2023 he has been granted a ANR - JCJC, a selective national grant, as the PI of the project IONOS-DX. He is also involved in several national and international projects, among which the Beyond5G (together with Ericsson, Thales, ...), the PEPR "Future Networks" (with IMT, CEA, CNRS). He is also participating in multi-lateral industry/academia collaborations such as SEIDO (with EDF Labs) and LINCS (with Nokia, SystemX, Sorbonne, INRIA, IMT). Leonardo received both the Bachelor degree (2010) and Master of Science (2012) from University of Catania. He defended his Ph.D. in France (2016), in a joint program among INRIA, Nokia Bell Labs and University Paris Diderot. Previous positions include participation in the German-French Academy as co-leader of the project AI4P (Artificial Intelligence for Performance), postdoctoral researcher within the NewNet Cisco's chair at Telecom Paris (France), guest scientist at TUM (Germany), junior researcher at Bell Labs (France), CNIT (Italy) and at University of Catania (Italy).
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