Queen Mary University of London

PhD Candidate - Network Monitoring

About me

I am a PhD candidate in Computer Science at Queen Mary University of London, under the supervision of Dr. Gianni Antichi, set to join the NSLab at KTH Royal Institute of Technology as a postdoc in fall 2024.

I work at the intersection of software and hardware, focusing on algorithms, data structures, and systems.

My research focuses on monitoring, acceleration, and security technologies inside switches and network cards.
I prototype solutions using my expertise in programmable networking hardware and have extensive experience with various switch and NIC architectures.

List of Works

Venue Year Title Authors
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


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