Raphael Azorin
I’m a PhD student at EURECOM, also working at Huawei’s Paris Research Center on Machine Learning for computer networks.
My background is in Machine / Deep Learning. I graduated from PSL, where I was enrolled in work/study programs from BSc to MSc. I held several data positions in multiple companies ranging from start-ups to large corporations.
Before transitioning to Computer Science, I was in marketing and analytics. Back then, I helped build Markentive, the French leading marketing automation agency (from 5 to 30 employees).
news
| Mar 28, 2024 |  Our paper Taming the Elephants: Affordable Flow Length Prediction in the Data Plane will be presented at CoNEXT 2024. |
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| Dec 8, 2023 |  Volunteered at CoNEXT’23 @CNAM in Paris |
| Dec 6, 2023 |  Presented our poster Memory-Efficient Random Forests in FPGA SmartNICs at CoNEXT’23 |
| Dec 5, 2023 | Our paper SPADA: A Sparse Approximate Data Structure Representation for Data Plane Per-Flow Monitoring has been accepted in PACMNET |
| Aug 28, 2023 |  Enrolled at the Mediterranean Machine Learning summer school in Thessaloniki (M2L 2023) |
| Feb 14, 2023 | Our workshop paper “It’s a Match” - A Benchmark of Task Affinity Scores for Joint Learning has been accepted at AAAI’23 2nd International Workshop on Practical Deep Learning. |
| Dec 9, 2022 | Our extended abstract Learned Data Structures for Per-Flow Measurements has been accepted at CoNEXT’22 student workshop. |
| Nov 15, 2022 | Our paper Towards a Systematic Multi-Modal Representation Learning for Network Data has been accepted at HotNets’22. |
| Dec 7, 2021 | Presented our extended abstract Towards a Generic Deep Learning Pipeline for Traffic Measurements at CoNEXT’21 student workshop |
| Aug 1, 2021 | Volunteered at SIGCOMM’21 |
| May 10, 2021 |  Gave a tutorial on link prediction at PSL executive MSc in Paris Graph Analytics lab. |