AI/ML Challenge Finale: QoS prediction, Network Traffic Scenario Prediction & SDN Security

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  • Date
    25 October 2023
    Timeframe
    13:00 - 15:00
    Duration
    2 hours
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    The ITU AI/ML in 5G Challenge in 2023 (Fourth edition) offers a platform for collaboratively addressing the problems in applying AI/ML in communication networks including 5G & 6G. The Challenge connects participants (students and professionals) from more than 100 countries, with industry and academia solving real-world problems using AI/ML in communication networks. The challenge is offering 12 problem statement in 2023. Some of these problem statements includes;

    • Multi-environment automotive QoS prediction 
    • Intrusion and Vulnerability Detection in Software-Defined Networks 
    • Network Traffic Scenario Prediction 

    Participants are tasked with producing machine learning models for precise predictions or detections, which in turn propel advancements for 5G or even 6G technologies. Participating in these challenges developed ML models for;  (a) QoS prediction and the use of transfer learning and/or domain adaptation to generalize the trained algorithms across operators, vehicles, or urban areas (b) detecting vulnerabilities and intrusions in SDNs and deepening their understanding of the critical nature of SDN security and (c) to predict the traffic scenario for unknown traffic. 

    Join our webinar for presentations by the top teams from these competitions. Stay tuned till the end, where we’ll be announcing and celebrating the winners for their excellent contributions. 

    Cash Prizes: The ITU AI/ML in 5G Challenge has set up prize pools of different sizes to reward outstanding teams totaling to 3,000 CHF. Each problem statement will receive 1,000 CHF or 1,000 USD to be split amongst winning solutions.

    The Winners are as follows;

    Problem Statement: Network Traffic Scenario Prediction Challenge

    1. Meloc – Winner (1st place) Prize: 500 USD – Martin Felix Wosnitzka
    2. HungryLearner – Runner-up (2nd place) Prize: 300 USD – Alabi Bojesomo
    3. MICADEE – Third place (3rd place) Prize: 200 USD –Adeyinka Michael Sotunde

    Problem Statement:Intrusion and Vulnerability Detection in Software-Defined Networks (SDN)

    1. SARI LAB – Winner (1st place) Prize: 500 CHF – Sotiris Chatzimiltis, Mohammad Shojafar, Mahdi Boloursaz Mashhadi, and Rahmi Tafazolli
    2. ML_IDS – Runner-up (2nd place) Prize: 300 CHF – Nasik Sami Khan, Md. Shamim Towhid, and Md Mahibul Islam
    3. QuasarX – Third place (3rd place) Prize: 200 CHF – Ndabuye Sengayo Gideon

    Problem Statement:Multi-environment automotive QoS prediction

    1. Hyperion – Winner (1st place) Prize: 500 CHF – Ndabuye Sengayo Gideon
    2. dkapur2026 – Runner-up (2nd place) Prize: 300 CHF – Dhruv Kapur
    3. UMN 5G – Third place (3rd place) Prize: 200 CHF – Qixin Zhang, Wei Ye, Steven Sleder, and Zhi-Li Zhang
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