Detecting network outages using different sources of data

Cristel Pelsser, professor at the University of Strasbourg, France

Bio: Cristel Pelsser is a professor at the University of Strasbourg since November 2015. She leads team of researchers focusing on core Internet technologies. Her aim is to facilitate network operations, avoid network disruptions and, when they occur, pinpoint the failure precisely in order to quickly fix the issue. Cristel obtained her PhD from the UcL in Belgium and spent 9 years working for ISPs.

Steve Uhlig, Professor at Queen Mary University of London, UK

Bio: Prof. Uhlig obtained a Ph.D. degree in Applied Sciences from the University of Louvain, Belgium, in 2004. From 2004 to 2006, he was a Postdoctoral Fellow of the Belgian National Fund for Scientific Research (F.N.R.S.). His thesis won the annual IBM Belgium/F.N.R.S. Computer Science Prize 2005. Between 2004 and 2006, he was a visiting scientist at Intel Research Cambridge, UK, and at the Applied Mathematics Department of University of Adelaide, Australia. Between 2006 and 2008, he was with Delft University of Technology, the Netherlands. Prior to joining Queen Mary, he was a Senior Research Scientist with Technische Universität Berlin/Deutsche Telekom Laboratories, Berlin, Germany. Since January 2012, he is the Professor of Networks and head of the Networks research group at Queen Mary, University of London. He was a guest professor at the Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China, between 2012 and 2016. Prof. Uhlig was the general chair of PAM 2017, ACM SIGCOMM 2015 and IMC 2017, as well as TPC chair of PAM 2017, IFIP Networking 2019, Global Internet 2019, and ICNP 2019. He is also area editor for IEEE Transactions on Networking as well as Elsevier Computer Communications. He published over 100 papers in international journals and conferences. His current research interests include Software-Defined Networking (SDN), Internet measurements (active and passive), as well as content delivery.

Sandra Scott-Hayward, Lecturer (Assistant Professor) at Queen’s University Belfast (QUB), UK

Bio: Dr. Sandra Scott-Hayward, CEng CISSP CEH, is a Lecturer (Assistant Professor) at Queen’s University Belfast (QUB). She has experience in both research and industry, having worked as a Systems Engineer and Engineering Group Leader with Airbus before returning to complete her Ph.D. at QUB. In the Centre for Secure Information Technologies at QUB, Sandra leads research and development of network security architectures and security functions for software-defined networks (SDN) and network functions virtualization (NFV). She has presented her research globally, has published a series of IEEE papers on performance and security designs for SDN/NFV, and has received a number of awards for her work. Sandra was elected Vice-Chair of the Open Networking Foundation (ONF) Security Working Group and served as vice-chair from 2015 to 2017. She received Outstanding Technical Contributor and Outstanding Leadership awards from the ONF in 2015 and 2016, respectively.

Francis Bach, researcher at INRIA and adjunct Professor at Ecole Normale Supérieure.

Bio: Francis Bach is a researcher at INRIA, leading since 2011 the SIERRA project-team, which is part of the Computer Science Department at Ecole Normale Supérieure, and a joint team between CNRS, ENS and INRIA. Since 2016, he is an adjunct Professor at Ecole Normale Supérieure. He completed his Ph.D. in Computer Science at U.C. Berkeley, working with Professor Michael Jordan, and spent two years in the Mathematical Morphology group at Ecole des Mines de Paris, he then joined the WILLOW project-team at INRIA/Ecole Normale Supérieure/CNRS from 2007 to 2010. From 2009 to 2014, he was running the ERC project SIERRA. He is interested in statistical machine learning, and especially in graphical models, sparse methods, kernel-based learning, convex optimization vision and signal processing.

Alexandros Karatzoglou, Scientific Director at Telefonica Research, Barcelona.

Bio: Alexandros Karatzoglou is a Scientific Director at Telefonica Research in sunny Barcelona, leading a team of Machine Learning, Networks, HCI and Systems researchers. His own research is in the area of Deep Learning, Recommender Systems, and Information Retrieval. His research in the area has been awarded with three best-paper awards at ECML/PKDD 2013, RecSys 2012 and ECML 2008. He currently teaches courses on “Deep Learning” and "Computational Machine Learning" at the Graduate School of Economics Masters Course in Data Science in Barcelona and at the GSE Data Science Summer School. He is also the author of kernlab, a fairly popular Machine Learning package for R. He received his PhD in Machine Learning from the Vienna University of Technology, while also being a frequent visitor at the Statistical Machine Learning group at NICTA in Canberra, Australia. In his spare time he enjoys kite-surfing and snowboarding.