About me
Welcome to my website!
I am Hamza Ouarnoughi, an associate professor in the Computer Science Department at the Engineering School INSA Hauts-de-France, and a researcher in the Department of Computer Science at LAMIH. I completed my Ph.D. from The University of Western Brittany (Université de Bretagne-Occidentale, UBO) in 2017 (advisors Frank Singhoff, Jalil Boukhobza, and Stéphane Rubini). I earned a Master’s degree in computer science from the same university in 2013 and Bachelor’s degree from the University of Laghouat in 2009.
I am interested in the fields of Cloud Computing, Embedded Systems, and recently in Edge Artificial Intelligence. My projects mainly include system benchmarking, performance modeling and optimisation, using Machine Learning approaches, and tergetting AI applications.
Phone: (00)33-327-511-953
Office: 215, Jonas, Campus Mont Houy, 59313 Valenciennes Cedex 9, France.
News
01/2023: Our paper entitled "Multi-Objective Hardware-Aware Neural Architecture Search with Pareto Rank-preserving Surrogate Models" has been accepted for publication in ACM Transactions on Architecture and Code Optimization (TACO).
12/2022: The call for papers of the 26th Euromicro Conference Series on Digital System Design (DSD) is online! (I am program chair).
12/2022: Gave a talk on "Hardware-aware Deep Learning for Edge Devices" at Journée Thématique Commune GdR SoC-GdR RO 2022.
12/2022: Got a STIMulE funding from the region Hauts-de-France for the project "CORTESE: COexistence intelligente dans les Réseaux sans fil des TEchnologies de communication pour la SÉcurité".
11/2022: Our paper entitled "HADAS: Hardware-Aware Dynamic Neural Architecture Search for Edge Performance Scaling" has been accepted for DATE 2023 [arxiv.org].
10/2022: Our paper entitled "HyT-NAS: Hybrid Transformers Neural Architecture Search for Edge Devices" has been presented at CODAI 2022 co-hosted at Embedded Systems Week.
Latest publications
2022
Lotfi Abdelkrim Mecharbat, Hadjer Benmeziane, Ouarnoughi Hamza, and Smail Niar, "HyT-NAS: Hybrid Transformers Neural Architecture Search for Edge Devices". Workshop on Compilers, Deployment, and Tooling for Edge AI 2022 (CODAI'22).
Hadjer Benmeziane, Hamza Ouranoughi, Smail Niar, and Kaoutar El Maghraoui, "CaW-NAS: Compression Aware Neural Architecture Search". 25th Euromicro Conference on Digital System Design 2022 (DSD'22).
Halima Bouzidi, Hamza Ouarnoughi, Smail Niar, El-Ghazali Talbi, and Abdessamad Ait El Cadi, "Co-Optimization of DNN and Hardware Configurations on Edge GPUs". 25th Euromicro Conference on Digital System Design 2022 (DSD'22).
Halima Bouzidi, Hamza Ouarnoughi, Smail Niar, and Abdessamad Ait El Cadi, "Performances Modeling of Computer Vision-based CNN on Edge GPUs". ACM Transactions on Embedded Computing Systems (TECS), Vol. 21, No. 5. 2022.
Hamza Ouarnoughi, Emmanuelle Grislin-Le Strugeon, and Smaïl Niar, "Simulating multi-agent-based computation offloading for autonomous cars". Springer Cluster Computing 25(4): 2755-2766, 2022.
Hadjer Benmeziane, Hamza Ouarnoughi, Kaoutar El Maghraoui, and Smaïl Niar, "Real-time style transfer with efficient vision transformers". ACM 5th International Workshop on Edge Systems 2022 (EdgeSys'22).
Hadjer Benmeziane, Smaïl Niar, Hamza Ouarnoughi, and Kaoutar El Maghraoui, "Pareto Rank Surrogate Model for Hardware-aware Neural Architecture Search". IEEE International Symposium on Performance Analysis of Systems and Software 2022 (ISPASS).
Halima Bouzidi, Hamza Ouarnoughi, El-Ghazali Talbi, Abdessamad Ait El Cadi, and Smail Niar, "Evolutionary-Based Co-optimization of DNN and Hardware Configurations on Edge GPU". International Conference on Optimization and Learning 2022 (OLA).
Supervised Ph.D. students
Lotfi Abdelkrim Mecharbat [01/2023 - *]
Antoine Marchand [01/2021 - *]
Halima Bouzidi [01/2021 - *]
Hadjer Benmeziane [10/2020 - *]
Teaching
Computer Architecture and Operating Systems (Undergraduate)
Operating System Programming (Masters)
Cloud Computing (Masters)
Deep Learning for Edge Devices (Masters)