A Machine Learning Approach to Temporal Traffic-Aware Energy-Efficient Cellular Networks. - Aristide T.-J. Akem; Edwin Mugume (UEMCON, 2020)

Henna: hierarchical machine learning inference in programmable switches. - Aristide Tanyi-Jong Akem; Beyza Bütün; Michele Gucciardo; Marco Fiore 001 (NativeNI@CoNEXT, 2022)

Flowrest: Practical Flow-Level Inference in Programmable Switches with Random Forests. - Aristide Tanyi-Jong Akem; Michele Gucciardo; Marco Fiore 001 (INFOCOM, 2023)

Demonstrating Flow-Level In-Switch Inference. - Michele Gucciardo; Aristide Tanyi-Jong Akem; Beyza Bütün; Marco Fiore 001 (INFOCOM Workshops, 2023)

Fast Detection of Cyberattacks on the Metaverse through User-plane Inference. - Beyza Bütün; Aristide Tanyi-Jong Akem; Michele Gucciardo; Marco Fiore 001 (MetaCom, 2023)

Showcasing In-Switch Machine Learning Inference. - Aristide Tanyi-Jong Akem; Beyza Bütün; Michele Gucciardo; Marco Fiore 001 (NetSoft, 2023)

Ultra-Low Latency User-Plane Cyberattack Detection in SDN-based Smart Grids. - Aristide Tanyi-Jong Akem; Michele Gucciardo; Marco Fiore 001 (e-Energy, 2024)

Towards Real-Time Intrusion Detection in P4-Programmable 5G User Plane Functions. - Aristide Tanyi-Jong Akem; Marco Fiore 001 (ICNP, 2024)

Jewel: Resource-Efficient Joint Packet and Flow Level Inference in Programmable Switches. - Aristide Tanyi-Jong Akem; Beyza Bütün; Michele Gucciardo; Marco Fiore 001 (INFOCOM, 2024)

Evaluating the Impact of Flow Length on the Performance of In-Switch Inference Solutions. - Michele Gucciardo; Beyza Bütün; Aristide Tanyi-Jong Akem; Marco Fiore 001 (INFOCOM (Workshops), 2024)

Towards Data-Driven Management of Mobile Networks through User Plane Inference. - Aristide Tanyi-Jong Akem; Marco Fiore 001 (NOMS, 2024)

Encrypted Traffic Classification at Line Rate in Programmable Switches with Machine Learning. - Aristide Tanyi-Jong Akem; Guillaume Fraysse; Marco Fiore 001 (NOMS, 2024)

User-Plane Algorithms for Stateless and Stateful Inference in Programmable Networks. - Aristide Tanyi-Jong Akem (SIGMETRICS Perform. Evaluation Rev., 2025)