Salah-Eddine Laidoudi

PhD in Computer Science
ESME

Overview of research area

The research of Salah-Eddine Laidoudi focuses on the application of artificial intelligence and deep learning techniques to create intelligent mixed reality systems.

Short biography

Salah-Eddine Laidoudi is currently a PhD student at ESME engineering school, preparing a thesis on a computer vision and mixed reality project. He got his master in virtual reality and intelligent systems at the University of Paris-Saclay in 2022.

Publications

• S.-E. Laidoudi, M. Maidi, and S. Otmane, Real-Time Indoor Object Detection based on hybrid CNN-Transformer Approach, 27th European Conference on Artificial Intelligence (ECAI’2024), Santiago de Compostela, Spain, October 2024.
• S.-E. Laidoudi, M. Maidi, and S. Otmane, A CNN-based model for low-textured object detection and tracking, 2023 IEEE 19th International Conference on Intelligent Computer Communication and Processing (ICCP), Cluj-Napoca, Romania, October 2023.
• S.-E. Laidoudi, M. Maidi, and S. Otmane, Real-Time Detection of Low-Textured Objects based on Deep Learning, IEEE 25th International Workshop on Multimedia Signal Processing (IEEE MMSP 2023), Poitiers, France, September 2023.

PhD in Computer Science

• Since 2023

  PhD in computer science under the supervision of Paris-Saclay University (in progress)

  Université Paris-Saclay, Evry, France
• 2021-2022

  Master’s degree in virtual reality and intelligent systems

  Université Paris-Saclay, Evry, France
• 2016-2021

  National Polytechnic school of Oran, Oran, Algeria

  State engineer in Electronics and embedded systems