Jonatan Langlet

Jonatan Langlet is a postdoctoral researcher at KTH Royal Institute of Technology, affiliated with the Division of Software and Computer Systems (SCS) and the Network Systems Lab (NSLab). Holding a Digital Futures fellowship, his work bridges programmable hardware, network telemetry, and machine learning, with a focus on high-speed monitoring and security technologies embedded in network switches and cards.

• Education: PhD in Computer Science (2024) from Queen Mary University of London, supervised by Prof. Gianni Antichi
• Teaching: Distributed Systems (QMUL 2021-2022), Data Structures and Algorithms (Karlstad 2019)

Research spans three main areas:

• In-Network Intelligence: Developing machine learning inference capabilities within programmable switches (P4), optimizing neural networks for hardware constraints
• Telemetry Systems: Creating RDMA-based telemetry pipelines for zero-CPU, line-rate data collection (Direct Telemetry Access, ACM SIGCOMM 2023)
• 5G Network Innovation: Designing programmable pipelines for 5G user plane functions (IEEE TMC 2022)

His publications in top venues like ACM SIGCOMM, SIGMETRICS, and HotNets demonstrate technical depth in programmable hardware, while community roles (TPC member, reviewer) highlight academic engagement. The Digital Futures fellowship supports his ongoing work on large-scale monitoring technologies.