Thomas Magedanz
Universität Berlin
Short Bio:
Thomas Magedanz (PhD) has been professor at the Technische Universität Berlin, Germany, leading the chair for next generation networks (www.av.tu-berlin.de) since 2004. In addition, since 2003 he has been Director of the Business Unit Software-based Networks (NGNI) at the Fraunhofer Institute for Open Communication Systems FOKUS (www.fokus.fraunhofer.de/go/ngni) in Berlin. For 33 years Prof. Magedanz has been a globally recognized ICT expert, working in the convergence field of telecommunications, Internet and information technologies understanding both the technology domains and the international market demands. His interest is in software-based networks for different verticals, with a strong focus on public and non-public campus networks. His current interest is in the evolution from 5G to 6G. For more details look here:http://www.av.tu-berlin.de/menue/team/prof_dr_thomas_magedanz/
Title:
5G Evolution towards 6G – Understanding Open Campus Networks as Drivers for 6G Innovations
Abstract:
Research on the 6th generation of mobile communication systems (6G) is just starting globally and it will be probably based on an evolution of 5G. Looking at 5G evolution, emerging 5G private and campus networks are considered as drivers for the technological evolution of 5G as they allow instant deployments of innovative concepts and solutions.
In this keynote, Prof. Magedanz will illustrate how the some major current campus network research topics relate to 6G research, such as integration of Satellite and Non-Terrestrial Networks (NTNs) enabling new nomadic network realizations, new access higher frequency networks, such as THz, for more bandwidth and better positioning and new sensing capabilities, network function disaggregation and RAN-Core convergence driven by OpenRAN enabling more competition, the usage of AI/ML for automated network management and optimization, and the definition of a new end to end software based architecture (SBA) enabling CD/CI.
A major focal point of the talk will be on the design of a new flexible 6G core architecture supporting continuous development and integration and enabling the dynamic and secure combination of specialized and customized network functions in accord to diverse and specific enterprise needs.
The globally recognized Fraunhofer FOKUS Open5GCore toolkit (www.open5GCore.org) and 5G playground (www.5G-playground.org) will be used as an example on how 6G research could be enabled by existing open 5G networking toolkits and how hands-on practical implementations enable to pin-point potential innovations.
The keynote contents is based on the first results and experiences gained within the Fraunhofer 6G Flagship Project “6G Sentinel” as well as the two German BMBF 6G Research Hubs “Open6GHub” and “6G-RIC”, in which Fraunhofer FOKUS is responsible for designing and developing key components for a new network control and management plane.
More information can also be found at the website www.6G-ready.org on use cases and technology directions to be presented.
Raouf Boutaba
University Of Waterloo
Short Bio:
Raouf Boutaba is a University Chair Professor and Director in the David R. Cheriton School of Computer Science at the University of Waterloo. He also holds the INRIA International Chair in France. He is the founding Editor in Chief of the IEEE Transactions on Network and Service Management (2007-2010) and served as the Editor-in- Chief of the IEEE Journal on Selected Areas in Communications (2018-2021). His research interests are in the areas of network and service management. He has published extensively in these areas and received several journal and conference Best Paper Awards. He also received other recognitions, including the Premier’s Research Excellence Award, Industry research excellence Awards, fellowships of the Faculty of Mathematics, of the David R. Cheriton School of Computer Science and outstanding performance awards at the University of Waterloo. He has also received the IEEE Communications Society Hal Sobol Award and the IFIP Silver Core in 2007, the IEEE Communications Society Joe LociCero and the Dan Stokesbury awards in 2009, the Salah Aidarous award in 2012, the McNaugthon Gold Medal in 2014, the Technical Achievement Award of the IEEE Technical Committee on Information Infrastructure and Networking as well as the Donald W. McLellan Meritorious Service Award in 2016. He served as a distinguished lecturer for the IEEE Computer and Communications Societies. He is fellow of the IEEE, the Engineering Institute of Canada, the Canadian Academy of Engineering, and the Royal Society of Canada.
Title:
Machine Learning for Networking: Applications, Challenges and Opportunities
Abstract:
Machine Learning (ML) has seen an unprecedented surge in solving complex problems in various domains, and communication networks are no exception. This talk will provide a holistic view on ML for the networking landscape; how ML is being used today and what is needed to thrust forward the evolution towards intelligent networks. We will share some of our experiences with ML application to areas in networking, with a particular focus on autonomous networks and traffic classification. This talk will conclude by outlining some challenges and opportunities to advance ML in networking.
Krishna Gummadi
Max Planck Institute for Software Systems
Short Bio:
Krishna Gummadi is a scientific director and head of the Networked Systems research group at the Max Planck Institute for Software Systems (MPI-SWS) in Germany. He also holds a professorship at the University of Saarland. Krishna’s research interests are in the measurement, analysis, design, and evaluation of complex Internet-scale systems. Krishna’s work on fair machine learning, online social networks and media, Internet access networks, and peer-to-peer systems has been widely cited and his papers have received numerous awards, including Test of Time Awards at ACM SIGCOMM and AAAI ICWSM, Casper Bowden Privacy Enhancing Technologies (PET) and CNIL-INRIA Privacy Runners-Up Awards, IW3C2 WWW Best Paper Honorable Mention, and Best Papers at NIPS ML & Law Symposium, ACM COSN, ACM/Usenix SOUPS, AAAI ICWSM, Usenix OSDI, ACM SIGCOMM IMC, ACM SIGCOMM CCR, and SPIE MMCN. He received an ERC Advanced Grant in 2017 to investigate “Foundations for Fair Social Computing”.
Title:
Measuring and Mitigating Bias and Unfairness in Socio-technical Systems
Abstract:
Over the past two decades, the Internet has enabled (and continues to enable) numerous disruptive socio-technical systems like BitTorrent, Facebook, Amazon, and Bitcoin that have transformed media landscape, personal, corporate, and political communications, trade, and monetary systems. The scale and societal impact of these Internet systems raise fundamental questions about their transparency and potential for unfairness and bias against some of their users. Understanding these threats requires us to define measures and develop methods to quantify unfairness and bias, often via black-box auditing of opaque systems. In this talk, I will discuss some of our attempts to measure bias and unfairness and to tackle the challenges with designing fair and unbiased socio-technical systems, while maintaining their innovative potential.