Tuesday, April 24
13:30 - 15:30 (120min)
Panel 1: Big Data and AI – What Are Our Success Stories, Failures, and Open Challenges?
Moderator: Yixin Diao, IBM T. J. Watson Research Center, USA
Big Data and AI are everywhere. In recent years, there is an increasing emphasis on using big data, AI, machine learning, and cognitive technologies to create and capture value for individuals, businesses, communities, and governments. The principle of this panel is to reflect on our success stories and failures on harnessing the immense stream of operational and non-operational data for network and service management, and to explore new areas and grand challenges with the goal of expanding the scope, interestingness, and value of our work.
Below is a set of sample questions that we intend to address during the panel:
• What are the new sources of data that enable us to reach new level of insights that are not possible before?
• How are different types of data combined to unveil trends and patterns and to create new sources of value?
• For which cases do AI and machine learning techniques add depth and insight and outperform traditional analytical methods?
• Despite of the hype, where may the basic and familiar methods well be appropriate or even excel?
• How can ubiquitous data and advanced data analytics capabilities create the routes through which new management paradigms will emerge?
• What are the challenges and obstacles that we are facing to use Big Data and AI to advance network and service management?
• Where are the ground truth and reliable sources that we can use to compare alternatives and determine to what extent they are indeed improving the management performance?
• What are the advice to professionals wanting to enter the field?
The panel invites distinguished experts to share their unique and diverse perspectives on Big Data and AI. Our intent is not to provide a systematic review of current applications or a definitive guide for future research, but to encourage fresh new areas of scholarly inquiry and to trigger broader discussions of Big Data, AI, and their implications for our society and management research. After the brief opening statement by each panelist, the panel would open the floor for the active Q&A session with the audience.
Yixin Diao (moderator), IBM T. J. Watson Research Center, USA
Yixin Diao (moderator) is a Research Staff Member at IBM T. J. Watson Research Center. He received the Ph.D. degree in Electrical Engineering from Ohio State University. He has published over eighty papers in systems and services management. He is the co-author of the book "Feedback Control of Computing Systems" and the co-editor of the book "Maximizing Management Performance and Quality with Service Analytics." He was a recipient of several Best Paper Awards from the IEEE/IFIP Network Operations and Management Symposium, the IFAC Engineering Applications of Artificial Intelligence, and the IEEE International Conference on Services Computing. He is an Associate Editor of the IEEE Transactions on Network and Service Management and the Journal of Network and Systems Management. He is a Fellow of IEEE.
Idilio Drago, Politecnico di Torino, Italy
Idilio Drago is an Assistant Professor at the Politecnico di Torino, Italy, in the Department of Electronics and Telecommunications. His current research interests include Internet measurements, quality of experience and network security. He is interested on how big data and data science techniques can help to extract knowledge from traffic data and automate network management tasks. Drago has a PhD in computer science from the University of Twente, the Netherlands, and a Master's degree from the Federal University of Espirito Santo, Brazil. He was awarded an Applied Networking Research Prize in 2013 by the IETF/IRTF for his work on cloud storage traffic analysis. He is now a member of the SmartData@PoliTO Center in the Politecnico di Torino, a research center in which more than 30 students, professors, and researchers are working on big data and data science applications.
Robert Harper, Moogsoft, UK
Rob Harper is the Chief Science Officer at Moogsoft. He joined Moogsoft as the founding member of its engineering team in 2012 and led the engineering team until 2016 when he took up his current role. Rob graduated from London's Imperial College with a BEng in Mechanical Engineering and a PhD in Computational Heat Transfer. He made the transition to Network and Operations Management in the late 1990s when he joined Riversoft. Rob was the architect of Riversoft/NMOS which later became the core component of IBM Tivoli Network Manager. Throughout his career, Rob has had a variety of senior development and managerial roles in technology start-ups. Immediately prior to joining Moogsoft, Rob was the founder and CTO of Jabbit. His current interests lie in the application of artificial intelligence and graph-theory to the area of fault localization.
Hanan Lutfiyya, University of Western Ontario, Canada
Hanan Lutfiyya is a Professor and Chair of the Department of Computer Science at the University of Western Ontario. Her research interests include Internet of Things, software engineering, self-adaptive and self-managing systems, autonomic computing, policies and monitoring and diagnostics. She is currently on the Natural Science and Engineering Research Council of Canada (NSERC) Strategic Networks Committee. She is a past member of the NSERC Discovery Grant Committee, and a past member and Chair of an NSERC Strategic Grants Committee. She is an Associate Editor for the IEEE Transactions on Network and Service Management, was a co-editor of a special issue of TNSM on the use of analytics in management, and recently served as the Program Co-chair of IEEE/IFIP Network Operations and Management Symposium. She is on the steering committee for the Ontario Celebration of Women in Computing Conference.
Akihiro Nakao, University of Tokyo, Japan
Akihiro Nakao received B.S. (1991) in Physics, M.E. (1994) in Information Engineering from the University of Tokyo. He was at IBM Yamato Laboratory, Tokyo Research Laboratory, and IBM Texas Austin from 1994 till 2005. He received M.S. (2001) and Ph.D. (2005) in Computer Science from Princeton University. He has been teaching as an associate professor (2005-2014) and as a professor (2014-present) in Applied Computer Science, at Interfaculty Initiative in Information Studies, Graduate School of Interdisciplinary Information Studies, the University of Tokyo. He has been appointed as a chairman of the Network Architecture Committee of 5G Mobile Communication Promotion Forum (5GMF) since Sep. 2014.
Wednesday, April 25
13:30 - 15:30 (120min)
Panel 2: SDN/NFV: Which research topics need investigation in the era of 5G and MEC?
Moderator: Kohei Shiomoto, Tokyo City University, Japan
Today’s enterprise, data-center, and ISP networks deploy different types of network devices, including switches, routers, and middleboxes such as network address translation and firewalls. These devices are vertically integrated monolithic systems; individual vendors exercise proprietary design for system architecture of their products. These devices are becoming more complicated because network-equipment vendors frequently add new features to their products, resulting in thousands of embedded features and protocols with tens of millions of lines of source code. These network devices are black boxes, that is, it is sometimes difficult to diagnose network-service problems caused by failure of such devices and difficult to improve such devices by introducing new features. Softwarization is ushering in a new paradigm for disaggregation of traditionally vertically integrated network devices. Software-defined networking (SDN) and network function virtualization (NFV) are the first steps in disaggregation: they disaggregate vertically integrated systems into software and hardware components.
We also expect that softwarization will play a key role in the era of 5G and mobile edge computing as enabler of network slicing to deal with unprecedented challenges in 5G networks in three dimensions: ultra low latency, massive density, high bandwidth. Even though there have been many research papers published, we still see many research topic in this field. In this panel, we invite distinguished panelists in this area to explore the growing research areas in SDN and NFV. We will discuss emerging research areas in SDN and NFV such as re-architecting middlebox, high-performance platform, network slicing, intent-driven network, AI/ML-based analytics, mechanism for data collection and dissemination (including telemetry), etc.
Kohei Shiomoto, Tokyo City University, Japan
Kohei Shiomoto is a Professor of Tokyo City University, Tokyo Japan. He has been engaged in R&D in Data Communication industry over 25+ years. Recently he is active in the areas of Network Virtualization, Data-Mining for Network Management, Traffic & QoE Management. He published 70+ journal papers and 130+ reviewed international conference papers. He published 6 RFCs in IETF. He produced many technologies to innovate Internet, Mobile, and Cloud. From 1989 to 2017, in NTT Laboratories, he was engaged in research and development of high-speed networks including ATM networks, IP/MPLS networks, GMPLS networks, network virtualization, traffic management, network analytics. From 1996 to 1997 he was engaged in research in high-speed networking as a visiting scholar at Washington University in St. Louis, MO, USA. He received his B.E., M.E., and Ph.D degrees in information and computer sciences from Osaka University, Osaka in 1987, 1989, and 1998. He is a Fellow of IEICE, a Senior Member of IEEE, and a member of ACM.
Laurent Ciavaglia, Nokia Bell-labs, IRTF NMRG Chair
Laurent Ciavaglia works at Nokia Bell Labs in Paris, France inventing new technologies for networks, turning concepts into real-life innovations. Recently, he is having fun (and some headaches) trying to combine network management and artificial intelligence. Laurent serves as co-chair of the IRTF Network Management Research Group (NRMG), and participates in IETF and ETSI. Laurent serves as Editor-in-Chief of the IEEE SDN initiative Softwarization newsletter, vice-chair of the IEEE CNOM, and Standards Liaison Officer of the IEEE Emerging Technologies Initiative on Network Intelligence, and regularly in the technical committees of IEEE, ACM and IFIP conferences and journals in the field of network management.
Dai Kashiwa, NTT Communications, ONF Board member, ONOS/CORD Board member
Dr. Dai Kashiwa is the Director of Technology Development at NTT Communications, where he leads a number of incubation and software development projects using SDN/NFV technologies. After he joined NTT, he was involved in research including network management systems, network security, Active Networks, and received his Ph.D. in 2003. Since 2004, he has worked for NTT Communications, where he developed business network services including video broadcasting, dynamic VPN and SDN services. He has been a board member of ONF (Open Networking Foundation) and a board member of ONOS/CORD project.
Alberto Leon-Garcia, Professor, University of Toronto
Professor Alberto Leon-Garcia is Distinguished Professor in Electrical and Computer Engineering at the University of Toronto. He is a Fellow of the Institute of Electronics an Electrical Engineering "For contributions to multiplexing and switching of integrated services traffic". Professor Leon-Garcia is author of the textbooks: Probability and Random Processes for Electrical Engineering, and Communication Networks: Fundamental Concepts and Key Architecture.
He was Scientific Director of the NSERC Strategic Network for Smart Applications on Virtual Infrastructures from 2011 to 2016. SAVI designed, deployed, and continues to operate a national research testbed on multitier cloud computing and software defined networks. The testbed enables end-to-end orchestration of applications across the entire testbed. Leon-Garcia’s current research is adding IoT to this multitier cloud and investigating security and smart city applications on these types of infrastructures.
From 2011 to 2017, Leon-Garcia also led the ORF project on Connected Vehicles and Smart Transportation, which developed an application platform to support the creation of smart transportation applications. The platform collects numerous real-time data streams (currently around 10,000) for the Greater Toronto Area and offers analytics and learning services through APIs to extract intelligence in real-time from these data.
Leon-Garcia was founder and CTO of AcceLight Networks in Ottawa, Canada in 2000. He is also founder of Janus Cloud Systems (spun off from the SAVI project) and Data on Motion (spun off from the CVST project).
Rolf Stadler, Professor, KTH
Rolf Stadler is a professor at KTH Royal Institute of Technology in Stockholm, Sweden, where he chairs the Department of Network and Systems Engineering. He holds an M.Sc. degree in mathematics and a Ph.D. in computer science from the University of Zurich. Before joining KTH in 2001, he held positions at the IBM Zurich Research Laboratory, Columbia University, and ETH Zürich. His group has made contributions to real-time monitoring, resource management, and self-management for large-scale networked systems. His current interests include advanced monitoring techniques and data-driven methods for network engineering and management. Rolf Stadler has been Editor-in-Chief of IEEE Transactions on Network and Service Management (TNSM) 2014-2017.
Thursday, April 26
09:00 - 10:30 (90min)
Panel 3: Fog Computing and Networking: Challenges and Opportunities in Operations and Management
Moderator: Tao Zhang, Cisco, USA
Clouds alone will not be adequate for supporting the emerging systems and applications, such as Internet of Things (IoT), 5G and future-generation wireless systems, Big Data at the edge, and the many new applications enabled by embedded Artificial Intelligence (AI). Fog computing and networking – or fog – has emerged to fill the gaps by bringing computing, networking, management, and control functions anywhere along the cloud-to-things continuum where these functions can best meet users’ requirements. The immersive fogs can address many challenges that clouds cannot effectively address, such as enabling realtime local analytics and control, connecting and protecting a vast spectrum of resource-constrained devices, overcoming network bandwidth and availability constraints, and taking advantages of both centralized computing in the clouds and distributed computing along the cloud-to-things continuum.
This new fog paradigm imposes new challenges and also brings disruptive opportunities in network operations and management. Fundamental rethinking will be necessary on how such distributed fog networks, systems, and applications should be managed. Fog systems can be distributed over large geographical areas. They often need to operate remotely and with little or no expert management. Fog systems in different industry verticals can have vastly different operational requirements. Some fog systems will be closely integrated with end user systems, such as onboard vehicles or as part of an automatic manufacturing system, and will therefore inherit the operational requirements of such user systems making their operations and management profoundly different from today’s enterprise networks or the Internet.
The industries, from chipmakers to networking companies to software companies to application providers to IoT vertical technology suppliers and users are devoting significant efforts to develop fog technologies. The OpenFog Consortium, consisting of industry movers and leading academic institutions, are developing an open and standards-based fog reference architecture and building a global ecosystem to accelerate market adoption of fog. The many profound research challenges in fog computing and networking are also drawing a booming interest in the academia. A growing number of universities and R&D organizations have launched fog-related initiatives. We have witnessed a breath of new workshops, panels, and journal special issues on fog computing and networking have over the past couple of years. Government agencies around the world are also initiating new R&D programs on fog.
On this plenary panel, industry and academia experts from different regions of the world will discuss their visions on the challenges, accomplishments, and opportunities in fulfilling the full potential of fog computing and networking. The panel will also discuss the intersections between fog computing and other key technology areas such as how Blockchain can be used to establish trust relationships among fog nodes and how Blockchain-enabled fog systems can support a wide range of new applications.
Tao Zhang, Cisco, USA
Tao Zhang – Dr. Zhang, an IEEE Fellow, is Distinguished Engineer / Senior Director at Cisco’s Corporate Strategy Group. He joined Cisco in 2012 as Chief Scientist / CTO and helped build up for Cisco’s Smart Connected Vehicles business unit. Since then, he has also been leading initiatives to develop strategies, technology, and ecosystems for Fog Computing and IoT. He is a cofounder and Board Director of OpenFog Consortium. Prior to joining Cisco, he was Chief Scientist in Wireless and Vehicular Networking, and Director of multiple R&D groups at Telcordia Technologies (formerly Bell Communications Research or Bellcore). For over 25 years, Tao has been in various technical and executive positions, directing research and product development in vehicular, mobile, and broadband networking.
Ai-Chun Pang, National Taiwan University, Taiwan
Ai-Chun Pang received the B.S., M.S. and Ph.D. degrees in Computer Science and Information Engineering from National Chiao Tung University, Taiwan, in 1996, 1998 and 2002, respectively. She joined the Department of Computer Science and Information Engineering (CSIE), National Taiwan University (NTU), Taipei, Taiwan in 2002. She was the director of Graduate Institute of Networking and Multimedia (INM). She is now a Professor in CSIE and INM, and is also an Adjunct Research Fellow of Research Center for Information Technology Innovation, Academia Sinica, Taiwan. Her research interests include the design and analysis of wireless and multimedia networking, mobile communications, and fog/edge computing.
Tony Q.S. Quek, Singapore University of Technology and Design, Singapore
Tony Q.S. Quek received the B.E. and M.E. degrees in Electrical and Electronics Engineering from Tokyo Institute of Technology, Tokyo, Japan, respectively. At Massachusetts Institute of Technology (MIT), Cambridge, MA, he earned the Ph.D. in Electrical Engineering and Computer Science. Currently, he is a tenured Associate Professor with the Singapore University of Technology and Design (SUTD). He also serves as the Associate Head of ISTD Pillar and the Deputy Director of SUTD-ZJU IDEA. His current research topics include wireless communications and networking, security, big data processing, network intelligence, and IoT.
Dr. Quek has been actively involved in organizing and chairing sessions, and has served as a TPC member in numerous international conferences. He is serving as the Track Co-Chair for IEEE PIMRC 2018, Track Co-Chair for IEEE VTC Spring 2018, and TPC Co-Chair for IEEE WCSP 2018. He is currently an elected member of the IEEE Signal Processing Society SPCOM Technical Committee. He was an Executive Editorial Committee Member of the IEEE Transactions on Wireless Communications, an Editor of the IEEE Transactions on Communications, and an Editor of the IEEE Wireless Communications Letters. He is a co-author of the book “Small Cell Networks: Deployment, PHY Techniques, and Resource Allocation” published by Cambridge University Press in 2013 and the book “Cloud Radio Access Networks: Principles, Technologies, and Applications” by Cambridge University Press in 2016.
Dr. Quek received the 2008 Philip Yeo Prize for Outstanding Achievement in Research, the IEEE Globecom 2010 Best Paper Award, the 2012 IEEE William R. Bennett Prize, the 2016 IEEE Signal Processing Society Young Author Best Paper Award, 2017 CTTC Early Achievement Award, 2017 IEEE ComSoc AP Outstanding Paper Award, and 2017 Clarivate Analytics Highly Cited Researcher. He is a Distinguished Lecturer of the IEEE Communications Society and a Fellow of IEEE.
Ming-Tuo Zhou, Shanghai Institute of Microsystem and Information Technology
ing-Tuo Zhou received his PhD degree in 2003. He joined Shanghai Research Center for Wireless Communications (WiCO) and Shanghai Institute of Microsystem and Information Technology (SIMIT), Chinese Academy of Sciences (CAS) in September 2016, and now is the vice-chief technology officer and the head of the Department of Communications and Computation. He is the chair of the OpenFog Testbed Working Group, and co-chair of OpenFog GCR Testbed Working Group. He was a senior research scientist at the Smart Wireless Laboratory of the (Japan) National Institute of Information and Communications Technology (NICT) Singapore Representative Office during July 2004 to August 2016, and a research specialist of the Finland Government Program. He has co-authored about 70 technical papers, 6 book chapters, and co-edited two technical books. He was the Technical Co-Editor of IEEE 802.16n and IEEE 802.16.1a, a voting member and technical contributor of IEEE 802.11, 802.15, and 802.16 Working Groups, and a member of the Test and Certification Working Group of Wi-SUN Alliance. He has served as Technical Program Committee member, Finance Chair, Local Arrangement Chair, and Session Chair at more than 40 international conferences including ICC, GLOBECOM, and PIMRC. His current research interests include fog computing, 5G, wireless sensor networks, industrial Internet of things, Industry 4.0, and cyber-physical systems.
13:30 - 15:30 (120min)
Panel 4: Cognitive Management versus Privacy in a Cyber World: Collision or Opportunity?
Moderator: Alexander Clemm, Huawei, Santa Clara, California, USA
Data is the fuel that powers many of today's networking and management advances. Network analytics, made possible also by advances in the generation of telemetry data, results in greater operational intelligence and better insights into what is happening inside a network. This in turn results in better security and greater network efficiency. Network controllers promise significant gains in containing capital expenditures by commoditizing forwarding hardware but require detailed monitoring and control of flows in the network. Traffic optimization, already left for dead by the wayside given the rise of traffic encryption that renders DPI useless, comes roaring back given advances in machine learning used to fingerprint and profile encrypted traffic. IoT, one of the latest networking "megatrends", is rooted in the ability to discover things and sensors that generate all kinds of data.
Cognitive management, based on the ability to generate, collect, and process more data than ever before, provides great opportunities for network providers. At the same time, concerns and discomfort regarding the implications for privacy are growing. The recent Equifax data breach highlights the risks when personal data stored on servers is compromised. Similar concerns exist with regards to networking data and at least some types of network telemetry data such as data about flows, which even in the presence of payload encryption lets attackers or abusers learn anything from the current location of users to who they are communicating with. Given the fact that this data is the enabler for so many technological advances that attract so much interest from businesses and researchers alike, it seems that privacy is massively under assault. Recently, some attempts at answers such as Identity-Enabled Networks and the IETF IDEAS initiative have begun to emerge, but will by themselves will not be sufficient.
This leads to many important questions: Are advances in operational efficiency, security, and novel networking applications such as IoT necessarily on a collision course with privacy or can they be reconciled? Will we have to make a choice? If so, what are the ramifications and where are the opportunities? Will we see different network technologies and management capabilities emerge in the private realm of enterprises that have a single owner and a different notion of "privacy" compared with public networks? To what degree can those issues be addressed by technical solutions, or do they require new societal or regulatory answers?
Alexander Clemm, Huawei, Santa Clara, California, USA
Dr. Alexander Clemm is a Distinguished Engineer in Huawei's Future Networks group in Santa Clara, California. He has been involved in networking software and management technology throughout his career, providing technical leadership for many products from conception to delivery to the customer. His current research interests include novel methods for network programming, service level management, service assurance, high-precision networking, and distributed management and control algorithms. He has around 50 publications and RFCs and over 40 issued patents. Alex has been engaging on the TPC and/or OC of IM/NOMS for many years and served as general co-chair of CNSM 2007 (then called Manweek) and IM 2013, as TPC co-chair of IM 2005, Netsoft 2017, and next year’s IM 2019, and as co-organizer of the upcoming HiPNet Workshop that will be hosted at CNSM 2018. Alex holds an MS in Computer Science from Stanford and a Ph.D. from the University of Munich, Germany.
Padma Pillay-Esnault, Huawei, USA
Padma Pillay-Esnault is a Distinguished Engineer at Huawei Technologies USA where she works on the architecture of future networks. Her current focus is Deterministic networks, Identity Enabled Networks, mobility, privacy and IoT. She is leading an effort to standardize secured network mapping systems to enhance privacy and optimize routing for mobility. Padma is a veteran in the Internet network engineering community with 25 years of experience innovating, developing and building devices for large-scale networks. She is a regular and longtime contributor in Internet Engineering Task Force (IETF) where she is the secretary of the LISP working group. She is also involved in standard bodies such as ETSI and ITU. Padma earned her Diplôme d’Ingénieur en Informatique Appliqué aux Entreprises from Polytech Montpellier, France. She also holds a MSc Méthodes Informatiques Appliquées à la Gestion des Entreprises (MIAGE) as well as a MSc in Computer Science from University of Montpellier, France.
Marc-Oliver Pahl, Technical University Munich, Germany
Dr. Marc-Oliver Pahl leads the IoT Smart Space Orchestration team at the Chair of Network Architectures and Services at Technical University of Munich (https://s2labs.org/). He is a senior researcher and lecturer at Technical University of Munich. His research interests include autonomous management of distributed systems, name-based management via P2P systems, edge-based IoT management, data analytics support, e.g. via machine learning or blockchain, use case implementations and testbeds. He works on context data management, semantic modeling, and service management with a focus on interoperability, portability, usability, and security.
As second research topic Marc-Oliver is doing teaching research focusing on developing new teaching methodologies, eLearning, and learning analytics. For his teaching related activities he received the prestigious Ernst Otto Fischer Award in 2013. Marc-Oliver is a professional member of ACM, IEEE, IEEE Communication Society, Member of the IEEE Technical Committee on Factory Automation (TCFA), German Society for Informatics (GI), Deutscher Hochschullehrerverband (DHV), German Chapter of the ACM, and Faculty Sponsor of the ACM Student Chapter in Munich.
Among many other things he organizes the 50 years celebrations of the German Chapter of the ACM (https://being-human-with-
Phone Lin, National Taiwan University, Taiwan
Phone Lin (M’02–SM’06-F’17) received the BS and Ph.D. degrees of Computer Science & Information Engineering from National Chiao Tung University, Hsinchu, Taiwan, in 1996 and 2001, respectively. He is a Professor with National Taiwan University, Taiwan, holding a professorship within the Department of Computer Science and Information Engineering, Graduate Institute of Networking and Multimedia, and Telecommunications Research Center of College of EECS, and Graduate Institute of Medical Device and Imaging of College of Medicine.
Dr. Lin serves on the Editorial Board of several journals, such as IEEE Transactions on Vehicular Technology, IEEE Network Magazine, IEEE Internet of Things Journal, Computer Networks Journal, etc. He has also been involved in several prestigious conferences, such as Local Arrangement Co-Chair, IEEE VTC2010-Spring, Taipei, Taiwan, the Technical Program Chair of WPMC 2012, Co-Chair of the Wireless Networking Symposium of IEEE Globecom 2014, and TPC member of IEEE Infocom 2010-2017. He was Chair of IEEE Vehicular Technology Society Taipei Chapter 2014-2015.
Lin has received many prestigious research awards, such as the Outstanding Research Award, Ministry of Science and Technology, Taiwan in 2016, the Best Young Researcher of IEEE ComSoc Asia-Pacific Young Researcher Award in 2007, the Distinguished Electrical Engineering Professor Award of the Chinese Institute of Electrical Engineering in 2012, the Ten Outstanding Young Persons Award of Taiwan (Science & Technology) in 2009, the Junior Researcher Award from Academia Sinica, R.O.C. in 2010. He has been an IEEE Fellow and ACM Senior Member since 2017 and 2012, respectively.
Jérome François, Inria Nancy Grand Est, France
Jérome François is a research scientist at Inria. He received his Ph.D. on robustness and identification of communicating applications from the University of Lorraine, France, in December 2009. He is now the deputy leader of the RESIST research group. Relying on data analytics and the convergence between network and system, this group aims to make elastic and resilient networked systems thanks to powerful intelligent methods to analyze and orchestrate resources to enhance security and scalability.
He is also research fellow at the Interdisciplinary Center for Security Reliability and Trust, SnT, at the University of Luxembourg and the leader of a joint team between Inria and SnT on network softwarization.
His research area is the network management and cyber-security. He designed methods for monitoring and analyzing large scale networks in various scenarios, in particular traffic flow analysis, botnet detection, semantic phishing prevention techniques, large scale security analytics, encrypted traffic analysis, IoT security and SDN-based security.