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