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13

PhD. in computer engineering and automation | Data scientist

Oussama Djedidi has a Ph.D. in Computer engineering and automation from Aix-Marseille University and is currently working on using AI techniques in engineering applications and physics, notably predicting the remaining useful life (RUL) of embedded systems and using Deep Learning in intelligent sensors for the detection of gases and their concentration. During his thesis, he worked on the development of methods for monitoring and diagnosis of embedded systems used in the touchscreens of avionics cockpits of the future and established a proof of concept for modeling and monitoring framework.

 

Journal articles3 documents

Conference papers7 documents

  • Nicolas Morati, Thierry Contaret, Jean-Luc Seguin, Marc Bendahan, Oussama Djedidi, et al.. Data Analysis-Based Gas Identification with a Single Metal Oxide Sensor Operating in Dynamic Temperature Regime. ALLSENSORS 2020, The Fifth International Conference on Advances in Sensors, Actuators, Metering and Sensing, Nov 2019, Valencia, Spain. pp.20-23. ⟨hal-02575436⟩
  • Oussama Djedidi, Mohand Djeziri, Samir Benmoussa. Failure Prognosis of Embedded Systems Based on Temperature Drift Assessment. IMAACA 2019 – Proceedings of the International Conference on Integrated Modeling and Analysis in Applied Control and Automation, 2019, Sep 2019, Lisbon, Portugal. pp.11-16. ⟨hal-02311476⟩
  • Oussama Djedidi, Nacer K M'Sirdi, Aziz Naamane. Adaptive Estimation of the Thermal Behavior of CPU-GPU SoCs for Prediction and Diagnosis. Proceedings of the International Conference on Integrated Modeling and Analysis in Applied Control and Automation, 2019–IMAACA 2019, Sep 2019, Lisbon, Portugal. pp.93-98. ⟨hal-02311475v2⟩
  • Oussama Djedidi, Mohand Djeziri, Nacer M'Sirdi, Aziz Naamane. A Novel Easy-to-construct Power Model for Embedded and Mobile Systems - Using Recursive Neural Nets to Estimate Power Consumption of ARM-based Embedded Systems and Mobile Devices. 15th International Conference on Informatics in Control, Automation and Robotics, Jul 2018, Porto, Portugal. ⟨10.5220/0006915805410545⟩. ⟨hal-01856579⟩
  • Oussama Djedidi, Mohand Arab Djeziri, Nk M'Sirdi. Modélisation orientée diagnostic des composants électroniques embarqués. Congrès National de la Recherche des IUT (CNRIUT’2018), Jun 2018, Aix en Provence, France. ⟨hal-01902905⟩
  • Oussama Djedidi, Mohand Djeziri, Nacer M'Sirdi, Aziz Naamane. Constructing an Accurate and a High-Performance Power Profiler for Embedded Systems and Smartphones. MSWIM '18 21st ACM Int'l Conference on Modelling, Analysis and Simulation of Wireless and Mobile Systems, Oct 2018, Montreal, Canada. ⟨10.1145/3242102.3242139⟩. ⟨hal-01907145⟩
  • Oussama Djedidi, Mohand Arab Djeziri, Nacer M'Sirdi, Aziz Naamane. Modular Modelling of an Embedded Mobile CPU-GPU Chip for Feature Estimation. 14th International Conference on Informatics in Control, Automation and Robotics, Jul 2017, Madrid, Spain. pp.338-345, ⟨10.5220/0006470803380345⟩. ⟨hal-01770233⟩

Poster communications1 document

  • Oussama Djedidi, Mohand Djeziri, Kouider M'Sirdi. Data-driven monitoring of Systems On Chip for Multifunction Modular Cockpit Display. 5th Summer School on INtelligent signal processing for FrontIEr Research and Industry (INFIERI 2019), May 2019, Wuhan, China. ⟨hal-02144441⟩

Theses1 document

  • Oussama Djedidi. Modélisation Incrémentale des Processeurs Embarqués pour l'Estimation des Caractéristiques et le Diagnostic. Automatique. Aix-Marseille Université (AMU), 2019. Français. ⟨tel-02472080⟩

Videos1 document

  • Oussama Djedidi, Mohand Arab Djeziri, Kouider M'Sirdi. Prototypage d'un système de surveillance des systèmes embarqués pour le projet MMCD. 2018. ⟨hal-02293986⟩