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Keywords

Monitoring Systèmes embarqués Air quality sensor Data fitting NARX Smartphone Systems-on-Ship Power Consumption Fault Diagnosis Support vector re- gression Analytical redundancy Smartphones Embedded systems Air quality monitoring Embedded Systems Modeling Temperature modulation System-on-chip Remaining Useful Life Air pollution
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Number of documents

21

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 articles7 documents

  • Oussama Djedidi, Mohand Djeziri, Samir Benmoussa. Remaining useful life prediction in embedded systems using an online auto-updated machine learning based modeling. Microelectronics Reliability, Elsevier, 2021, 119, pp.114071. ⟨10.1016/j.microrel.2021.114071⟩. ⟨hal-03161501⟩
  • Oussama Djedidi, Mohand Djeziri, Nicolas Morati, Jean-Luc Seguin, Marc Bendahan, et al.. Accurate detection and discrimination of pollutant gases using a temperature modulated MOX sensor combined with feature extraction and support vector classification. Sensors and Actuators B: Chemical, Elsevier, 2021, 339, pp.129817. ⟨10.1016/j.snb.2021.129817⟩. ⟨hal-03410267⟩
  • Mohand Djeziri, Oussama Djedidi, Nicolas Morati, Jean-Luc Seguin, Marc Bendahan, et al.. A temporal-based SVM approach for the detection and identification of pollutant gases in a gas mixture. Applied Intelligence, Springer Verlag (Germany), 2021, ⟨10.1007/s10489-021-02761-0⟩. ⟨hal-03332042⟩
  • Mohand Djeziri, Oussama Djedidi, Samir Benmoussa, Marc Bendahan, Jean-Luc Seguin. Failure Prognosis Based on Relevant Measurements Identification and Data-Driven Trend-Modeling: Application to a Fuel Cell System. Processes, MDPI, 2021, 9 (2), pp.328. ⟨10.3390/pr9020328⟩. ⟨hal-03139295⟩
  • Oussama Djedidi, Mohand Djeziri. Incremental Modeling and Monitoring of Embedded CPU-GPU Chips. Processes, MDPI, 2020, 8 (6), pp.678. ⟨10.3390/pr8060678⟩. ⟨hal-02862215⟩
  • Oussama Djedidi, Mohand Djeziri. Power profiling and monitoring in embedded systems: A comparative study and a novel methodology based on NARX neural networks. Journal of Systems Architecture, Elsevier, 2020, 111, pp.101805. ⟨10.1016/j.sysarc.2020.101805⟩. ⟨hal-02740661⟩
  • Oussama Djedidi, Mohand Djeziri, Nacer M'Sirdi. Data-Driven Approach for Feature Drift Detection in Embedded Electronic Devices. IFAC-PapersOnLine, Elsevier, 2018, 51 (24), pp.1024 - 1029. ⟨10.1016/j.ifacol.2018.09.714⟩. ⟨hal-01869747v2⟩

Conference papers10 documents

  • 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⟩
  • 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, 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 QC Canada, Canada. pp.79-82, ⟨10.1145/3242102.3242139⟩. ⟨hal-03604237⟩
  • 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 QC Canada, France. pp.79-82, ⟨10.1145/3242102.3242139⟩. ⟨hal-03604220⟩
  • 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⟩
  • 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, France. pp.338-345, ⟨10.5220/0006470803380345⟩. ⟨hal-03604233⟩

Poster communications1 document

  • Oussama Djedidi, Mohand Djeziri, Kouider Nacer 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⟩

Theses2 documents

  • Oussama Djedidi. Modélisation Incrémentale des Processeurs Embarqués pour l'Estimation des Caractéristiques et le Diagnostic. Automatique. Aix-Marseille Université (AMU), 2019. Français. ⟨tel-02472080⟩
  • Oussama Djedidi. Incremental modeling of embedded processors for feature estimation and diagnostics. Sciences de l'ingénieur [physics]. Aix Marseille université - LIS, 2019. Français. ⟨tel-03569248⟩

Videos1 document

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