IEEE/IFIP Network Operations and Management Symposium
8–12 May 2023 // Miami, FL // USA


THURSDAY, MAY 11th 2023


DEP: Next Generation Resilient and Sustainable Networks

Room: Bayview Ballroom

Laurent Ciavaglia, Nokia, France
Pal Varga, Budapest University of Technology and Economics, Hungary


Nur Zincir-Heywood, Dalhousie University, Canada
Imen Grida Ben Yahia, AWS, USA
Eve Schooler, Intel, USA
Ritu Chadha, Peraton Labs, USA


In this Distinguished Expert Panel, the discussion will cover various aspects of network management, network architecture, protocol design, and also the potential (positive or negative) impact of artificial intelligence technologies in creating resilient and sustainable networks.


Laurent Ciavaglia Laurent Ciavaglia

Laurent Ciavaglia is leading the network management, intelligence and data research and standards team at Nokia, and contributes to network automation technologies in various standards working groups and research communities.Prior, Laurent has worked with Rakuten Mobile and Rakuten Symphony as Head of Autonomous Networks Innovation Europe.  He has extensive experience in inventing future network automation technologies with focus on intent-driven, zero-touch and artificial intelligence techniques. Laurent is an experienced standards contributor as editor and co-author of multiple specifications in the IETF, IRTF and ETSI in the fields of zero-touch networking, intent-based networking, autonomic networking, closed-loop automation, telemetry, and integration of machine learning and machine reasoning functionalities in networking environments.  Laurent serves as co-chair of the IRTF Network Management Research Group (NRMG) and participates in standardization activities related to network and service automation in IETF, O-RAN, ETSI, ITU-T and TMF. Laurent is also a proud member of the IEEE network operations and management community (CNOM).

Pal Varga Pal Varga

Pal Varga is currently the Head of Department of Telecommunications and Media Informatics at the Budapest University of Technology and Economics. As an associate professor at BME, his main research interests include communication systems, Cyber-Physical Systems and Industrial Internet of Things, network traffic analysis, end-to-end QoS and SLA issues -- for which he is keen to apply hardware acceleration and artificial intelligence, machine learning techniques as well. Besides being a member of HTE, he is a senior member of IEEE, where he is active both in the IEEE ComSoc (Communication Society) and IEEE IES (Industrial Electronics Society) communities. He has been the general co-chair of IEEE NOMS 2020 and 2022 editions, ans he is the Editor-in-Chief of the Infocommunications Journal (HTE).


Nur Zincir-Heywood Nur Zincir-Heywood

Nur Zincir-Heywood is a Dalhousie Distinguished Research Professor and an Associate Dean Research of Computer Science with Dalhousie University, Canada. Her research interests include machine learning and artificial intelligence for cyber security, network, systems, and information analysis, topics on which she has published over 200 fully reviewed papers. She is the Co-Editor of the books Communication Networks and Service Management in the Era of Artificial Intelligence and Machine Learning (Wiley/IEEE), and Recent Advances in Computational Intelligence in Defense and Security (Springer) as well as the coauthor of the book Nature-Inspired Cyber Security and Resiliency: Fundamentals, Techniques, and Applications (IET). She is a recipient of several best paper awards as well as the Supervisor for the recipient of the IFIP/IEEE IM 2013 Best Ph.D. Dissertation Award in Network Management. She is an Associate Editor of the IEEE Transactions on Network and Service Management and International Journal of Network Management (Wiley), and a Guest Editor of Journal of Network and Systems Management (Springer).


Imen Grida Ben Yahia Imen Grida Ben Yahia

Imen is currently, Principal AI/ML Specialist Architect for Telco in Amazon Web Services ( Technically leading and building telco solutions with AI/ML based on AWS services with key telco players to accelerate the move towards Smarter, Greener and Cloudified Networks.Previously, Researcher and Technical leader in Orange Innovation, in charge of building, from research to delivery, data and AI/ML pipelines for network operations; Founder of Predictive Network Maintenance (Data fusion, Anomaly detection, Root cause Analysis and Operationalization) use cases in Orange. Co-author of several research papers on AI for Networks (6G, 5G, Software Networks, Cloud Native Net). Imen participated to several conferences as organizer, member of several Technical Program Committee and Public speaker. Imen received her PhD degree in Telecommunication Networks from Telecom SudParis, Institut Polytechnique de Paris, in 2008.


Eve Schooler Eve Schooler

Dr. Eve M. Schooler is a recognized expert in Networking and Distributed Systems. Her current work focuses on evolving the Internet toward a Sustainable edge-cloud infrastructure and Carbon-aware networking. After 18 years, she recently left Intel to embark on new adventures and to pursue an academic sabbatical in Sustainable Computing. At Intel, she was a Principal Engineer and Director of Emerging IoT Networks. Prior to Intel, she held positions at AT&T Labs-Research, USC's Information Sciences Institute, Apollo Computers and Pollere. Throughout her career, Dr. Schooler has served in leadership positions in various standards bodies including the IETF and NIST. She has authored over 60 publications and is an inventor on over 35 granted or pending patents. She holds a BS from Yale, MS from UCLA, and PhD from Caltech, all in Computer Science. She serves on the board of the Computing Research Association in the US, the EU’s SPATIAL H2020 Project, and on the Advisory council of the University of Delaware's Computing and Information Sciences department. She is an IEEE Fellow and the co-recipient of the 2020 IEEE Internet Award for her work on control protocols for Internet telephony and multimedia teleconferencing.


Ritu ChadhaDr. Ritu Chadha

Dr. Ritu Chadha is a senior research director at Peraton Labs, where she leads the machine learning and data analytics business unit. She is responsible for basic and applied research programs in the areas of machine learning and artificial intelligence, with applications in a variety of domains, including cyber security, wireless networking, network management, machine vision, text analytics, autonomy, and modeling and simulation. During her tenure at Peraton Labs and its predecessor companies (Perspecta Labs, Bellcore, Telcordia, Applied Communication Sciences, Vencore Labs), she has performed and managed research in areas at the intersection of cybersecurity, machine learning, network management, and wireless networking. She is a pioneer in the area of policy-based network management and its application to wireless and mobile ad hoc networks. Her critical contribution was to leverage the latest advancements in these areas and use them to shape and guide the development of a new suite of successful products for IP network management. She received a doctorate in computer science from the University of North Carolina at Chapel Hill. She has authored more than 100 conference and journal papers, is a coinventor on multiple patents and has written a book on the application of policy-based network management to mobile ad hoc networks. She was elected a Telcordia Fellow in 2008 in acknowledgment of the significance of her contributions to Telcordia’s business. She was awarded the IEEE MILCOM Lifetime Technical Achievement Award in 2021.