Distinguished Experts Panel

Title: ML/AI as Enabler for Network Engineering and Operation
Moderator: Rolf Stadler, KTH Royal Institute of Technology, Sweden

Jiasi Chen, University of California - Riverside, USA
Alberto Leon-Garcia, University of Toronto, Canada
Richard Li, Futurewei, USA
Stan Matwin, Dalhousie University, Canada

Methods and concepts from machine learning, and artificial intelligence more generally, are being applied in an increasing number of fields from medicine to economics. The panel discusses the implications of this general trend for the topic area of this community. We will discuss questions such as “which problems in Network Engineering and Operation can we address using these methods; what are the potential drawbacks; which data can we use to create predictive models and where/how do we process the data; what standards are needed to facilitate research and development?


Rolf Stadler is a professor at KTH Royal Institute of Technology in Stockholm, Sweden, and head of the Division 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 made contributions to real-time monitoring, resource management, and self-management for large-scale networked systems. His current interests include intelligent 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.