KTH Royal Institute of Technology

Postdoctoral Researcher


About me

I am a postdoctoral researcher at the NSLab at KTH Royal Institute of Technology, supported by my Digital Futures fellowship. My research focuses on leveraging networks to process and analyze data in-transit.

Specializing in near-hardware algorithms, data structures, and systems, my work centers on monitoring, acceleration, and security technologies within switches and network cards. By applying my expertise in programmable hardware architectures, I prototype solutions that demonstrate real-world feasibility and impact.

My research has been published in top-tier venues, including ACM SIGCOMM, ACM SIGMETRICS, and ACM HotNets.

In 2024, I earned my PhD in Computer Science from Queen Mary University of London under the supervision of Prof. Gianni Antichi.


List of Works

Venue Year Title Authors
PhD. Thesis 2024 Telemetry for Next-Generation Networks J. Langlet
ACM SIGMETRICS 2024 Lightweight Acquisition and Ranging of Flows in the Data Plane A. Monterubbiano, J. Langlet, S. Walzer, G. Antichi, P. Vasallo, S. Pontarelli
ACM SIGCOMM 2023 Direct Telemetry Access J. Langlet, R. B. Basat, G. Oliaro, M. Mitzenmacher, M. Yu, G. Antichi
IEEE TMC 2022 Hybrid P4 Programmable Pipelines for 5G gNodeB and User Plane Functions S. K. Singh, C. E. Rothenberg, J. Langlet, A. Kassler, P. Vörös, S. Laki, G. Pongrácz
ACM HotNets 2021 Zero-CPU Collection with Direct Telemetry Access J. Langlet, R. B. Basat, S. Ramanathan, G. Oliaro, M. Mitzenmacher, M. Yu, G. Antichi
MSc. Thesis 2020 Offloading Virtual Network Functions - Hierarchical Approach J. Langlet
IEEE EuroP4 2019 Towards Neural Network Inference on Programmable Switches J. Langlet, A. Kassler, D. Bhamare
BSc. Thesis 2019 Towards Machine Learning Inference in the Data Plane J. Langlet

Community Work

Year Role Venue
2024 External Reviewer ACM CoNEXT
2023 - Reviewer IEEE/ACM Transactions on Networking
2023 - Reviewer IEEE Transactions on Network and Service Management

Teaching

Year Course University
2021 - 2022 Distributed Systems Queen Mary University of London
2019 Data Structures and Algorithms Karlstad University