About me
Third year PhD candidate at Queen Mary University of London, under the supervision of Dr. Gianni Antichi.
I am a part of the Networks group, researching network traffic analysis and telemetry through programmable data planes.
I earned my Bachelor's and Master's degrees at Karlstad University in Sweden year 2019 and 2020 respectively. During this time, I also worked part-time as a lab supervisor and research assistant at the university.
My research interests include data plane programmability, network monitoring, computational offloading, real-time systems, and machine learning.
Outside of my research, I have a burning passion for dog training (with Cisco the labrador), and all things physics!
List of works
| Venue | Year | Title | Authors |
|---|---|---|---|
| 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 |
| 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 |
| Thesis | 2019 | Towards Machine Learning Inference in the Data Plane | J. Langlet |
Teaching
| Year | Position | Course | University |
|---|---|---|---|
| 2021-2022 | TA | Distributed Systems | Queen Mary University of London |
| 2019 | TA | Data Structures and Algorithms | Karlstad University |