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MTSR 2023
17th International Conference on Metadata and Semantics Research
Milan, 25th - 27th October 2023
Keynote Speaker
We are honored to introduce our keynote speaker
Dr. Fabio Stella, Associate Professor, University of Milano-Bicocca, Department of Informatics, Systems and Communication
Keynote Presentation title:
The many faces of the Artificial Intelligence revolution
Abstract
In this talk we analyze what happened in the last 10 years and which currently goes under the name of the Artificial Intelligence revolution. The discussion develops in three main directions; first we analyze the amazing achievements of deep learning and reinforcement learning of the last years, second we contrast the opinion of AI's experts to that of the wider population, third we describe possible scenarios of development, adoption and impact of the Artificial Intelligence revolution in different domains including healthcare and policy making.
Biography
Fabio Stella obtained a PhD in Computational Mathematics and Operations Research in 1995, at the University of Milan, Italy. He is associate professor of the University of Milano-Bicocca, at the Department of Informatics, Systems and Communication, where he leads the model and algorithms for data and text mining (MADLAB) research lab. His main research interests are related to Bayesian networks and causal models for finance, health and biology. He published more than 100 papers, and served as Program Chair/Reviewer of the following international conferences; AISTATS, ICLR, ICML, IJCAI, PGM, NeurIPS, PAKDD, RecSys, SIGIR, ECAI, and UAI. He has been awarded as 10% best reviewers at NeurIPS in 2020 and 2022, and at ICML and AISTATS in 2022. He is Associate Editor of IEEE Intelligent Systems since 2021. He is the Principal Investigator of MG-PerMed, a three years research project funded by the European Commission started in 2023. He served as Advisor of many PhD candidates both in Italy and abroad. Currently he advises seven PhD candidates in Computer Science and Translational Medicine with positions funded by the European Commission, by Fresenius Medical Care, by Roche, and by the National Institute of Tumors of Milan. He served as member of the Panel of Experts for evaluation of research projects for the Swiss National Science Foundation and the Netherlands Organization for Scientific Research.
Keynote Speaker
We are honored to introduce our keynote speaker
Sebastian Troia, Ph.D., Assistant Professor, Department of Electronics, Information and Bioengineering, Politecnico di Milano, Italy
Keynote Presentation title:
Machine-learning defined Networking
Abstract
With the advent of 5G technology and an ever-increasing traffic demand, today Communication Service Providers (CSPs) experience a progressive congestion of their networks. The operational complexity, the use of manual configuration, the static nature of current network technologies together with fast-changing traffic profiles lead to: inefficient network utilization, very high Capital Expenditures (CapEx) and Operational Expenses (OpEx) and over-provisioning of resources. This talk delves deep into the realm of networking's transformative technologies over the past two decades. It sets its focus on three game-changing innovations: Software Defined Networking (SDN), Network Function Virtualization (NFV), and the application of Machine Learning in the networking domain. By analyzing the intricate interplay of these disruptive forces, we aim to decipher how they collectively reshape the landscape of network management and offer novel solutions to the pervasive challenges faced by CSPs today.
Biography
I am an Assistant Professor at the Department of Electronics, Information and Bioengineering at Politecnico di Milano (Italy) and a Fulbright Fellow at the Erik Jonsson School of Engineering and Computer Science at the University of Texas at Dallas (USA). In 2020, I earned my Ph.D. degree in Information Technology (Telecommunication area) cum laude from Politecnico di Milano. In 2018, I became a partner at SWAN Networks, a spin-off of Politecnico di Milano that develops network orchestration and advanced algorithms for SDN and SD-WAN based networks. I joined the faculty at Politecnico di Milano as an Assistant Professor in 2022. My current research interests are in the field of edge network softwarization and Machine Learning for communication networks. My work encompasses the development of intelligent control and orchestration plane architectures for SDN and SD-WAN in multi-layer (optical and IP) network scenarios. I have participated in various European Projects such as H2020 Metro-Haul, NGI Atlantic, and FP7 Marie Curie MobileCloud. Additionally, I served as an editor for the ITU Focus Group on Machine Learning for Future Networks including 5G (FG-ML5G). I have co-authored more than 40 publications in international journals, conferences and book chapters, with a focus on Machine-Learning for SDN, SD-WAN and NFV. I am a reviewer for several international journals, and a member of the Technical Program Committee for international conferences and workshops including IEEE ICC and IEEE GLOBECOM. I am Guest-Editor for Elsevier Computer Networks journal's Special Issue on: "Network Softwarization and Intelligence at the Edge: Challenges and Opportunities". I have been also a member of the Organizing Committee for IEEE HPSR 2019, DRCN 2020 and 2021, and IEEE NetSoft 2022. I am the co-organizer and general co-chair of the second edition of the Edge Network Softwarization (ENS) workshop, held in conjunction with IEEE NetSoft 2023 in Madrid, Spain.
