Team members
Mohamed-Aymen LABIOD
Mohamed Aymen Labiod (mohamed-aymen.labiod@u-pec.fr) s an Associate professor at Paris-Est Creteil University (UPEC) and researcher at the Laboratoire Images, Signaux et Systemes Intelligents (LiSSi) as part of the TINCNET research team. His main research themes focus are 5G and 6G architecture, network slicing, mobile networks, multi-access networks protocol, multi-connectivity, scheduling, adaptive resource allocation, cross-layer approaches, quality of experience (QoE) assessment, and multimedia communication under low latency constraints.
Academic Background
I began my academic journey by obtaining a Master’s degree in Telecommunications, Networks, and Multimedia from Badji Mokhtar University in Annaba, Algeria. I then pursued a joint international Ph.D. with the Polytechnic University of Hauts-de-France (UPHF), focusing on the joint optimization of sources, channels, and protocols for video transmission in vehicular ad-hoc networks (VANET). My thesis, titled “Contribution to the Improvement of Video Transmission in Vehicular Ad-hoc Networks (VANET)”, was defended in July 2019. Alongside my research work and until September 2020, I also held a position as a Temporary Teaching and Research Assistant (ATER) at the National Institute of Applied Sciences (INSA) Hauts-de-France and the Valenciennes University Institute of Technology.
Since September 2020, I have been a Lecturer at the University of Paris-Est Créteil (UPEC), where I teach in the Networks and Telecommunications Department (IUT of Créteil/Vitry). In parallel, I also contribute to the activities of the Public School of Health and Digital Engineering (EPISEN).
Teaching Responsibilities
• Program Director for the first year of the Bachelor of Technology in Networks and Telecommunications (BUT RT) at the IUT of Créteil/Vitry (since 2023).
• Recruitment Coordinator for admissions outside of the Parcoursup system for the Networks and Telecommunications (RT) department at the IUT of Créteil/Vitry (since 2022).
• Recruitment and Liaison Officer for preparatory classes (CPGE) in the Engineering and Health Technologies (ITS) department at EPISEN (2021-2024).
• Communications Officer for the ITS department, responsible for coordinating communication efforts with IUTs in the Île-de-France region and Bachelor’s programs (2022-2024).
• Third-Year Program Advisor for the ITS department, serving as the faculty advisor for the third-year engineering cycle (Master’s level, Bac+5) during the 2021/2022 academic year.
Scientific Responsibilities
• Member of the CIR research team at the LISSI laboratory (EA 3956), with my work focusing on two major areas:
- Highly dynamic networks, particularly in the context of technologies applied to connected health, such as the development of connected ambulances.
- Quality of Experience (QoE) prediction, where my research focuses on analyzing physiological signals to estimate QoE during the use of multimedia services.
Platforms
• Multi-Access Network Platform: We designed and implemented a multi-access network deployment platform tested in various urban mobile environments (subway, RER, vehicles, etc.). This platform provides a flexible communication infrastructure for validating solutions under real-world conditions. It was developed in collaboration with Tuan Chu and Abdelhamid Mellouk.
• 5G Platform: I co-developed a 5G platform based on Software-Defined Radio (SDR) and OpenAirInterface, enabling the testing of 5G mobile network performance across different scenarios. This platform includes advanced features such as network traffic monitoring and integration with IoT platforms.
• QoE Evaluation Platform based on Physiological Signals: In partnership with medical teams (Henri Mondor University Hospital), we established a platform to assess user quality of experience (QoE) using physiological data, such as EEG, incorporating a predictive approach based on affective computing.
Projects
• Project funded under a UPEC Call for Proposals (2nd semester of 2024) “Research Quality Bonus (BQR)” – EMO5G: Development of a Multimodal Platform to Predict Quality of Experience (QoE) in 5G using Affective Computing (JC–2024). The project focuses on developing a reliable and accurate QoE prediction model in 5G using various physiological signals. Period: 2024-2025.
Project Leads: Mohamed Aymen Labiod and Abdelhamid Mellouk
• Project funded under a UPEC Call for Proposals (1st semester of 2023) “Research Quality Bonus (BQR)” in collaboration with the MuSAE Lab (Multisensory/Multimodal Signal Analysis and Enhancement Lab), Montreal (Quebec), Canada: The project focuses on developing a reliable and accurate QoE prediction model using various physiological signals and advanced machine learning techniques in connected health. Period: 2022-2024.
Project Leads: Mohamed Aymen Labiod and Abdelhamid Mellouk
• Project funded under a UPEC Call for Proposals (1st semester of 2020) “Teaching-Research Quality Bonus (BQ-ER)” in collaboration with Henri Mondor University Hospital (APHP): This project involved studying attentional engagement in university teaching using consumer-grade brain-machine interfaces. Period: 2020-2021.
Project Leads: Yann Senova, Mohamed Aymen Labiod, and Abdelhamid Mellouk
Journals
• Tran-Tuan CHU, Mohamed Aymen LABIOD, Brice AUGUSTIN, and Abdelhamid MELLOUK, “A self-manageable network infrastructure towards supporting Healthcare transport communication,” accepted in IEEE Transactions on Vehicular Technology, Q1.
• Hana Elhachi, Mohamed Aymen LABIOD, Farouk Boumehrez, Salah Redadaa, and Abdelhamid MELLOUK, “Smart cross-layer approach to multi-access terrestrial and non-terrestrial networks (NTNs): real-time mobile-Health use case,” in International Journal of Communication Systems (Wiley), Q2.
• Joshua Bégue, Mohamed Aymen Labiod, and Abdelhamid Mellouk, “New Approach for an Affective Computing-Driven Quality of Experience (QoE) Prediction,” in IEEE Communications Magazine, vol. 61, no. 10, pp. 54-60, October 2023, doi: 10.1109/MCOM.002.2200870. (Q1, 10.892).
• Mohamed Aymen Labiod, Mohamed Gharbi, François-Xavier Coudoux, and Patrick Corlay, “Region of Interest (ROI) based adaptive cross-layer system for real-time video streaming over Vehicular Ad-hoc NETworks (VANETs)”; arXiv.cs.CV, 2023; 2311.02656.
• Mohamed Aymen Labiod, Mohamed Gharbi, François-Xavier Coudoux, Patrick Corlay, and Noureddine Doghmane, “Cross-layer scheme for low latency multiple description video streaming over Vehicular Ad-hoc NETworks (VANETs),” International Journal of Electronics and Communications, 2019; 104: 23-34. (Q2, 3.169).
• Mohamed Aymen Labiod, Mohamed Gharbi, François-Xavier Coudoux, Patrick Corlay, and Noureddine Doghmane, “Enhanced adaptive cross-layer scheme for low latency HEVC streaming over vehicular ad-hoc networks (VANETs),” Vehicular Communications, 2019; 15:28-39 (Q1, 8.373).
Conferences
- M.Chelghoum, G. Bendiab, M. A. Labiod, M. Benmohammed, S. Shiaeles, A. Mellouk: Blockchain and AI for Collaborative Intrusion Detection in 6G-enabled IoT Networks. IEEE HPSR 2024: 179-184
- J.Begue, M. A. Labiod, A. Mellouk, “A Multi-Task Approach for Real-Time Quality of Experience Factors Prediction from Physiological Data”, IEEE GlobeCom 2023, 4–8 December 2023, Malaysia.
- T. Chu, M. A. Labiod, B. Augustin, A Mellouk, GADaM on the road – Smart Approach to Multi-Access Networks: Analytical and Practical Evaluation in Various Urban Mobile Environments In: IEEE WCNC 2023-IEEE Wireless Communications and Networking Conference. IEEE, 2023 Glasgow.
- T. Chu, M. A. Labiod, H. A. Tran, A. Mellouk: “GADaM: Generic Adaptive Deep-learning-based Multipath Scheduler Selector for Dynamic Heterogeneous Environment”. IEEE ICC 2022, 16–20 May 2022, South Korea, pp. 4908-4913.
- B. Diakhate, T. T. Chu, M. A. Labiod, B. Augustin, H. A. Tran, A. Mellouk, “Experimental Evaluation of Multiple Multipath Schedulers over Various Urban Mobile Environments”, the 11th SoICT 2022, Hanoi, Vietnam, Dec 1-3, 2022, pp. 201-207.
- Rachid Zeghlache , M.A. Labiod, A. Mellouk, “Driver vigilance estimation with Bayesian LSTM Auto-encoder and XGBoost using EEG/EOG data”, 6th IFAC Symposium on Telematics Applications (TA), Aug 2022, pp. 89-94, 2022
- Mohamed Aymen Labiod, Jordan Doublet, Mohamed Gharbi, François-Xavier Coudoux, Patrick Corlay, and Noureddine Doghmane, “Adaptive video streaming based on TFRC protocol in vehicular ad hoc networks (VANETs),” 25th IEEE Symposium on Communications and Vehicular Technology (IEEE SCVT’18), October 27-31, 2018, Ghent, November 12, 2018.
- Mohamed Aymen Labiod, Mohamed Gharbi, François-Xavier Coudoux, Patrick Corlay, and Noureddine Doghmane, “Cross-layer approach dedicated to HEVC low delay temporal prediction structure streaming over VANETs,” 7th IEEE International Conference on Smart Communications in Network Technologies (SACONET’18), El Oued, October 27-31, 2018.
Other Contributions
• Joshua Bègue, Mohamed Aymen Labiod, and Abdelhamid Mellouk, “Electrocardiography-Based Approach for a Statistical Study of User Attention and Quality of Experience,” CNRIUT’2024, Mulhouse, 2024.
• Joshua Bègue, Mohamed Aymen Labiod, and Abdelhamid Mellouk, “User-Centric QoE Prediction through Affective Computing and Machine Learning,” IEEE COMSOC, TC-CSR Newsletters, vol. 5, issue 1, December 2024.
• Tran-Tuan CHU, Mohamed Aymen LABIOD, Brice AUGUSTIN, and Abdelhamid MELLOUK, “Towards a flexible, responsive, and adaptive network infrastructure in crisis contexts,” 1st Annual Congress of the French Society of Industrial Engineering and Production (SAGIP 2023), Marseille, France, 2023.
• Joshua Bègue, Mohamed Aymen LABIOD, and Abdelhamid Mellouk, “QoE Prediction Based on Physiological Signals for Next-Generation Multimedia Technologies,” 1st Annual Congress of the French Society of Industrial Engineering and Production (SAGIP 2023), Marseille, France, 2023.
• Tran-Tuan Chu, Mohamed Aymen Labiod, Brice Augustin, and Abdelhamid Mellouk, “Multi-Access Networks Management in Dynamic Heterogeneous Environments,” IEEE COMSOC, TC-CSR Newsletters, vol. 3, issue 1, December 2022.
• Joshua Bègue, Mohamed Aymen Labiod, and Abdelhamid Mellouk, “QoE-Driven Statistical Analysis of EEG Data,” CNRIUT’2022, Roanne, 2022.
• Mohamed Aymen Labiod, Mohamed Gharbi, François-Xavier Coudoux, and Patrick Corlay, “A Region of Interest (ROI)-Based Cross-Layer System for Low Latency Video Streaming over Vehicular Ad-hoc Networks (VANETs),” CORESA’2021, Nice, 2021.