Queen Mary University of London

PhD Candidate - Network Monitoring


About me

Third and final-year PhD candidate in Computer Science at Queen Mary University of London, under the supervision of Dr. Gianni Antichi.
I am actively looking for opportunities starting summer 2024, post-PhD.

My research is in the intersection of software and hardware, with a focus on algorithms, data structures, and system design.
Problem solving and system engineering are my passions, and I have applied these to innovative projects involving network monitoring and high-speed data collection techniques.

My work during the PhD has been highly collaborative, and I thrive working in teams with diverse and complementary competences.


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

Teaching

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