
Joel Ky
- Orange Innovation
- Resilience and Elasticity for Security and ScalabiliTy of dynamic networked systems (RESIST)
Présentation
I am a PhD Candidate in Computer Science from University of Lorraine and an Engineer graduated from Toulouse INP-ENSEEIHT in Computer Science and Telecommunications. I did my preparatory classes at CPGE Mohamed V in Casablanca, Morocco. I went to a special high school, a military one, the Prytanée Militaire de Kadiogo. I got my high school diploma there as well as military training certificates.
My PhD activities are about classification and troubleshooting of Cloud Gaming applications and on low latency applications more broadly. They are conducted within the research team RESIST in the LORIA lab and within Orange Innovation through a CIFRE contract.
My work interests are Machine Learning, Deep Learning and Statistics. I am strongly interested in Research and Development in these fields.
Compétences
Publications
Publications
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Anomaly Detection and Root Cause Diagnosis for Low-Latency Applications in Time-Varying Capacity NetworksComputer Science [cs]. Université de Lorraine, 2025. English. ⟨NNT : 2025LORR0026⟩
Thèse
tel-05077121
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CATS: Contrastive learning for Anomaly detection in Time Series2024 IEEE International Conference on Big Data (Big Data), IEEE, Dec 2024, Washinghton DC, United States. ⟨10.1109/BigData62323.2024.10825476⟩
Communication dans un congrès
hal-04881349
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Segment Routing for Chaining Micro-Services at Different Programmable Network Levels27th Conference on Innovation in Clouds, Internet and Networks (ICIN), Mar 2024, Paris, France. pp.171-178, ⟨10.1109/ICIN60470.2024.10494472⟩
Communication dans un congrès
hal-04544951
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A Hybrid P4/NFV Architecture for Cloud Gaming Traffic Detection with Unsupervised ML28th IEEE Symposium on Computers and Communications (ISCC 2023), IEEE, Jul 2023, Gammarth, Tunisia. pp.733-738, ⟨10.1109/ISCC58397.2023.10217863⟩
Communication dans un congrès
hal-04130096
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Assessing Unsupervised Machine Learning solutions for Anomaly Detection in Cloud Gaming Sessions2022 18th International Conference on Network and Service Management (CNSM), Oct 2022, Thessaloniki, Greece. pp.367-373, ⟨10.23919/CNSM55787.2022.9964533⟩
Communication dans un congrès
hal-03884367
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ML Models for Detecting QoE Degradation in Low-Latency Applications: A Cloud-Gaming Case StudyIEEE Transactions on Network and Service Management, 2023, pp.1-1. ⟨10.1109/TNSM.2023.3293806⟩
Article dans une revue
hal-04160235
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An Analysis of Cloud Gaming Platforms Behaviour Under Synthetic Network Constraints and Real Cellular Networks ConditionsJournal of Network and Systems Management, 2023, Special Issue on High-Precision, Predictable and Low-Latency Networking, 31 (2), pp.39. ⟨10.1007/s10922-023-09720-9⟩
Article dans une revue
hal-04050288
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