Paul Almasan

Associate Researcher at @TEFresearch
PhD at @la_UPC

[Paul Almasan @PaulAlmasan]

I'm excited to introduce our new paper on network traffic compression using graph learning methods. Our method effectively exploits spatial correlations and temporal patterns present in network traffic to outperform GZIP by 50-65% on real-world networks. https://t.co/HL2ElTt5ed

[GitHub Projects Community @GithubProjects]

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[Ioannis Arapakis @iarapakis]

Please consider applying to this role if you are interested in researching new technical enablers and capabilities for 6G RAN, related to different 3GPP releases:
https://t.co/wVx85xcWMP

[Paul Almasan @PaulAlmasan]

Your insights and feedback are highly value💡#Research #NeuralCompression #OpenSource #Innovation #GitHub #Compression

[Paul Almasan @PaulAlmasan]

🚀 Exciting News! 🎉 The code behind our paper "Atom Neural Traffic Compression" is ready for exploration! 📑🔍 Delve into the details of our research by reading the paper https://t.co/Tgi9k8a75d or executing the code from https://t.co/5REgG3y9w6.

[Paul Almasan @PaulAlmasan]

🎉Exciting News! Our paper titled "Atom: Neural Traffic Compression with Spatio-Temporal Graph Neural Networks" has been accepted at the #ACM #Conext #GNNet23 Workshop in Paris this December. Stay tuned for more updates and be sure to join us for the presentation!#GNN #ACMConext

[Paul Almasan @PaulAlmasan]

I'm looking forward to contributing my expertise in GNNs and communication networks to the innovative projects and cutting-edge advancements that @TEFresearch is known for

#PhDgraduate #Research #TelefonicaResearch #CuttingEdgeTech

[Paul Almasan @PaulAlmasan]

🎓 Exciting News!🚀After years of dedicated research and hard work, I'm thrilled to announce that I have successfully defended my PhD thesis! It's been an incredible journey, and I couldn't be more grateful for the support and encouragement from everyone at @BNN_UPC

[Paul Almasan @PaulAlmasan]

🔬As I embark on the next chapter of my career, I'm honored to share that I've joined @TEFresearch as an Associate Researcher

[Barcelona Neural Networking Center @BNN_UPC]

We are happy to announce the 4th edition of the Graph Neural Networking challenge with attractive prizes for winners !!

Title: Creating a Network Digital Twin with Real Network Data

More info: https://t.co/m8rPPrclQo

Enjoy the challenge

[Paul Almasan @PaulAlmasan]

Storing network-related information is key for efficient network management, but the ever-increasing data transmission rates and traffic volumes make it challenging.Our method compresses network traffic traces using a spatio-temporal #GNN to improve storage and management #STGNN

[Paul Almasan @PaulAlmasan]

I'm excited to introduce our new paper on network traffic compression using graph learning methods. Our method effectively exploits spatial correlations and temporal patterns present in network traffic to outperform GZIP by 50-65% on real-world networks. https://t.co/HL2ElTt5ed

[Paul Almasan @PaulAlmasan]

@krzysztof_rus Hi @krzysztof_rus ! I don't know it but I expect it to take some time...

[Paul Almasan @PaulAlmasan]

Hi #Thessaloniki 👋 I'm currently in #Greece 🇬🇷 to attend @cnsmconf where I'll be presenting one of our latest works done at Barcelona Neural Networking Center. Don't miss my talk if you want to learn more about leveraging #GNN and differential programming to perform fast TE

[Telefónica Scientific Research @TEFresearch]

We are hiring!!!

[Paul Almasan @PaulAlmasan]

In this talk I'll introduce a novel method for sub-second Traffic Engineering using #GNNs and #gradient #descent. Ping me If you have any questions 😉 I can't wait to see you there!

Corresponding article 👉 https://t.co/QQNnQHSuaC

[Paul Almasan @PaulAlmasan]

It's only 2 weeks until @cnsmconf ! 🛫 If you are attending #CNSM 2022 don't miss the latest work that I'll be presenting on November 1st at 3.30 PM in Thessaloniki (Greece): https://t.co/veKwLkX7AX 👇

[Paul Almasan @PaulAlmasan]

I’m happy to share that I’m starting a new position as Data Science Intern at @TEFresearch! I'm very grateful and excited to have the opportunity to work on solving real-world problems with top researchers and experts in the field of mobile networks

[Paul Almasan @PaulAlmasan]

🚨Paper alert📢Check out our latest paper on using gradient descent to optimize routing. In this work we leverage GNNs and back-propagation to obtain the link weights that minimize the utilization of the most loaded link using OSPF-based routing https://t.co/9Z3CtrBZBh

[José Suárez-Varela @jsuarezvarela]

I'm thrilled to announce that our position paper “Graph Neural Networks for Communication Networks: Context, Use Cases and Opportunities” has been accepted in the pretigious IEEE Network Magazine 🎉🎉

Pre-print in @ArXiv:
https://t.co/ctU6uu82rN

#IEEE @ComSoc; #machinelearning