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Rihem FARKH

Rihem Farkh
  • Teacher-researcher. LabISEN member.

Artificial intelligence

Campus: Toulon
+ 33 6 18 07 16 47

Core business

Rihem Farkh, born in Tunis in 1982, successfully completed his engineering degree in electrical engineering, went on to earn a master's degree in Automatic Control and Signal Processing, and crowned his academic career with a doctorate in electrical engineering, all three obtained at the École Nationale d'Ingénieurs de Tunis, Université Tunis El-Manar, in 2006, 2007 and 2011 respectively.

His professional career began as a Research Assistant at Carthage University in 2007. From 2011 to 2015, he held the position of Assistant Professor at the University of Sousse. Subsequently, he was assistant professor at King Saud University in Riyadh from 2015 to 2022, before being promoted to associate professor in 2023. He is currently a teacher-researcher at ISEN Méditerranée.

Areas of expertise

His expertise lies in the field of automatic control and robotics, with a particular focus on robust and optimal PID (Proportional, Integral, Derivative) control of uncertain and time-delayed systems using genetic algorithms and particle swarm optimization techniques, fractional control, machine learning (ML) and embedded artificial intelligence (AI).

Part of his research focuses on the implementation of intelligent control using deep learning and computer vision to control mobile robots.

Teaching activities

  • Data science, statistics & analysis tools
  • Python for Data Science and AI
  • IA & Embedded system
  • AI Mini Project - Algo Neural Networks

Links

Publications

Rihem Farkh has made a significant contribution to research in the fields of automatic control, robotics and artificial intelligence, with a portfolio of 25 publications.

Papers in conference proceedings

  • 1. R. Farkh, K. Laabidi, M. Ksouri, "Real Time Control for Time Delay System," in Proceedings of the 23rd European Conference on Modelling and Simulation (ECMS), Madrid, Spain, 2009.
  • 2. R. Farkh, K. Laabidi, M. Ksouri, "PI Stabilization of Time Delay System," in Proceedings of the International Conference of Modeling and Simulation (MOSIM'10), May 10-12, 2010, Hammamet, Tunisia.
  • 3. S. Hafsi, K. Laabidi, R. Farkh, "Stabilization using FO-PI controllers for first-order time delay systems," in Proceedings of the International Conference on Systems and Control (ICSC), 2013.
  • 4. R. Farkh, G. Oudinet, F. Sananes, S. Alzahrani, S. Alhuwaimel, and T. De Leruyelle, "Intelligent Visual Tracking Robots Using Cascade PID Controllers," in Proceedings of the International Conference on Signal, Control and Communication (SCC 2023).

Refereed research papers

  1. R. Farkh, K. Laabidi, M. Ksouri, "PI Control for Second Order Delay System With Tuning Parameter Optimization," International Journal of Electrical and Electronics Engineering, vol. 3, pp. 1-7, 2009.
  2. R. Farkh, K. Laabidi, M. Ksouri, "Computation of All Stabilizing PID Gain for Second-Order Delay System," Mathematical Problems in Engineering, vol. 2009, pp. 1-17, 2009.
  3. R. Farkh, K. Laabidi, M. Ksouri, "Robust Stabilization for Uncertain Second Order Time-Lag System," The Mediterranean Journal of Measurement and Control, vol. 5, no. 4, 2009.
  4. R. Farkh, K. Laabidi, M. Ksouri, "Robust PI/PID Controller for Interval First Order System with Time Delay," International Journal of Modelling, Identification and Control, vol. 13, nos. 1/2, pp. 67-77, 2011.
  5. R. Farkh, K. Laabidi, M. Ksouri, "Robust Control for Uncertain Delay System," Journal of Circuits, Systems, and Computers, vol. 20, no. 3, 2011.
  6. K. Laabidi, R. Farkh, M. Ksouri, "First Order Controller for Time Delay System," Transactions of the Institute of Measurement and Control, vol. 133, pp. 054502-1, 2011.
  7. R. Farkh, K. Laabidi, M. Ksouri, "Robust Design of Optimal PID Controller for Uncertain Time Delay System," The Mediterranean Journal of Measurement and Control, vol. 8, no. 3, 2012.
  8. S. Hafsi, K. Laabidi, R. Farkh, "Synthesis of Fractional PI Controller for First Order Time Delay System," Transactions of the Institute of Measurement and Control, pp. 1-15, 2013.
  9. A. Karoui, R. Farkh, M. Ksouri, "PID Controller Design for Multiple Time Delays System," Proceedings of Engineering and Technology, vol. 1, pp. 164-152, 2013.
  10. R. Farkh, K. Laabidi, M. Ksouri, "Stabilizing Sets of PI/PID Controllers for Unstable Second Order Delay System," International Journal of Automation and Computing, vol. 11, no. 2, pp. 210-222, 2014.
  11. S. Hafsi, R. Farkh, K. Laabidi, "Robust Fractional Controller for Interval First Order System with Time Delay," International Journal of Automation and Control, vol. 8, no. 4, 2014.
  12. S. Hafsi, K. Laabidi, R. Farkh, "A New Tuning Method for Stabilization Time Delay Systems Using PID Controllers," Asian Journal of Control, vol. 17, no. 3, pp. 821-831, 2015.
  13. R. Farkh, K. A. Aljaloud, M. Ksouri, F. Bouani, "Optimal Robust Control for Unstable Delay System," Computer Systems Science and Engineering, vol. 36, no. 2, pp. 307-321, 2021.
  14. R. Farkh, M. T. Quasim, K. A. Jaloud, S. Alhuwaimel, S. T. Siddiqui, "Computer Vision-Control-Based CNN-PID for Mobile Robot," Computers, Materials Continua, vol. 68, no. 1, pp. 1065-1079, 2021.
  15. R. Farkh, H. Marouani, K. A. Jaloud, S. Alhuwaimel, M. T. Quasim et al, "Intelligent Autonomous Robot Control For Medical Application," Computers, Materials Continua, vol. 68, no. 2, pp. 2189-2203, 2021.
  16. R. Farkh, K. A. Jaloud, S. Alhuwaimel, M. T. Quasim, M. Ksouri, "A Deep Learning Approach for the Mobile-Robot Motion Control System," Intelligent Automation and Soft Computing, vol. 29, no. 2, pp. 423-435, 2021.
  17. R. Farkh, Y. Fouad, H. Marouani, "Robust Optimal Proportional-Integral Controller for an Uncertain Unstable Delay System: Wind Process Application," IEEE Intelligent Automation and Soft Computing, vol. 30, no. 3, pp. 837-851, 2021.
  18. M. T. Quasim, S. Alhuwaimel, A. Shaikh, Y. Asiri, Kh. Rajab, R. Farkh, K. A. Jaloud, "An Improved Machine Learning Technique with Effective Heart Disease Prediction System," Computers, Materials Continua, vol. 69, no. 3, pp. 4169-4181, 2021.
  19. R. Farkh, S. Alhuwaimel, S. Alzahrani, K. Al jaloud, M. T. Quasim, "Deep Learning Control for Autonomous Robot," Computers, Materials Continua, vol. 72, no. 2, pp. 2811-2824, 2022.
  20. H. Marouani, F. A. Almehmadi, R. Farkh, H. Dhahri, "Wind Turbine Efficiency Under Altitude Consideration Using an Improved Particle Swarm Framework," Computers, Materials Continua, vol. 73, no. 3, pp. 4981-4994, 2022.
  21. R. Farkh, K. A. Jaloud, S. Alhuwaimel, M. T. Quasim, "Vision Navigation Based PID Control for Line Tracking Robot," Intelligent Automation and Soft Computing, vol. 35, no. 1, pp. 901-911, 2023.

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