JP Vasseur

Cisco Fellow, Engineering

Machine Learning

JP Vasseur, PhD is a Cisco Engineering Fellow. Since joining Cisco in 1998, he has been working on a number of networking technologies, such as: IP/MPLS, Quality of Service, Traffic Engineering, network recovery, “The Internet of Things” (as the Chief Architect of the Internet of Things), Security, Wireless Networks. From 1992 to 1998, he worked for Service Providers in large multi-protocol environments. He is an active member of the Internet Engineering Task Force (co-author of more than 35 IETF RFCs, funders and co-chair of several Working Groups such as the PCE and ROLL WG), and an active member in several SDOs. JP has been leading world-class engineering teams of advanced networking and Analytics/Machine Learning (Self Learning Networks, Cloud-based Machine Learning) with key applications such as Security, Wifi networks, Devices classification and SD-WAN to mention a few (network cognitive and predictive analytics). JP is a regular speaker at various international conferences; he is involved in various research projects in the area of IP/IoT/Security/ML and the member of a number of Technical Program Committees. JP Vasseur is also Associate Professor at Telecom Paris. He is the (co)inventor of more than 500 patents in the area of IP/MPLS, Security, The Internet of Things and Machines Learning / Analytics. He is the coauthor of “Network Recovery” (Morgan Kaufmann, July 2004), “Definitive MPLS Network Designs” (Cisco Press, March 2005) and "Interconnecting Smart Object with IP: The Next Internet (Morgan Kaufmann, July 2010 - http://www.thenextinternet.org/). JP receives an engineering degree in computer Science (France), a Master of Science in Computer Science (Steven - USA) and PhD in Networking (Mines-Telecom Paris – France).


July 12, 2022


The Power of Predictive Networks

2 min read

Predictive networks can help mitigate downtime and add to an overall positive customer experience. Learn more benefits and some common misconceptions around predictive networks.

January 31, 2022


What does neuroscience have to do with the Internet?

3 min read

It's time for a new approach to the Internet. Reactive measures are only effective after a failure occurs. But what if we use AI to enable the Internet with learning capabilities? Our Predictive engine is now capable of predicting short- and long-term events thus avoiding issues before they happen.

October 12, 2021


5 things you should know about predictive analytics in networking

4 min read

Networking complexity is growing every day. When applied to advanced networks, predictive analytics helps reduce complexity by using AI/ML to vastly improve the user and application experience.

March 24, 2020


AI for Networking: Separating the Hype from Reality

3 min read

AI is everywhere—but what is real and what’s just hype? We will dig into how AI can be used today (and in the future) in networking.