Banner
اختر اللغة


رئيس قسم هندسة الالكترونيات الصناعية والتحكم

TAREK AHMED MAHMOUD, Ph.D.

Professor, Department of Industrial Electronics and Control Engineering Faculty of Electronic Engineering, Menoufia University, Egypt

 

Education:-

  • Ph.D. in Automatic Control Engineering, 2007,     Faculty of Electronic Engineering, Menoufia University, Egypt.

Dissertation: Fuzzy Neural Networks: Fertilization and Development with Modeling and Control

of Medical Applications.

  • M.Sc. in Automatic Control Engineering, 2001, Faculty of Electronic Engineering, Menoufia University, Egypt.

   Thesis: Neuro-Fuzzy Control of Mean Arterial Blood Pressure.

  • B.Sc. in Electronic Engineering, 1995, Faculty of Electronic Engineering, Menoufia University, Egypt.

Academic & Leadership Positions:-

  • Professor, Dept. of Industrial Electronics and Control Engineering, Faculty of Electronic Engineering, Menoufia University, 2024–Present
  • Head, Dept. of Industrial Electronics and Control Engineering, Faculty of Electronic Engineering, Menoufia University, 2025–Present
  • Executive Manager, Biomedical Engineering Program, Faculty of Electronic Engineering Menoufia University, 2023–2025
  • Associate Professor, Dept. of Industrial Electronics and Control Engineering, Menoufia University, 2019–2024
  • Assistant Professor, Dept. of Industrial Electronics and Control Engineering, Faculty of Electronic Engineering, Menoufia University, 2007–2012
  • Part-Time Professor and Associate Professor, Nile University, Egypt, 2021–Present
  • Assistant Professor, Prince Sultan Industrial College, KSA, 2012–2017
  • Jury Member, FAOJect Competition, Food and Agriculture Model Developers Track, 2023
  • Head of Committee for Postgraduate Studies, Dept. of Industrial Electronics and Control Engineering, Menoufia University, 2022–2025

Teaching Experience:-

Courses Taught: Electrical Engineering, Logic Circuits Design, Electronic Circuits, Automatic Control Engineering, Digital & Modern Control Systems, Real-Time Control Systems, PLCs, Microprocessors & Microcontrollers, Mechatronic Engineering, System Modeling & Dynamics, Analog & Digital Signal Processing, Adaptive & Optimal Control, Stochastic Process Control, Fuzzy Logic & Neural Networks, Biomedical Instrumentation

Recent Publications:-

Journal Articles

  1. Mostafa, E., Mahmoud, T. A., & El-Brawany, M. A. (2025). Modeling chaotic diabetes systems using fully recurrent neural networks enhanced by fractional-order learning. Scientific Reports.
  2. Abd-Elhaleem, S., Sallam, M., Mahmoud, T. A., & Hamdy, M. (2026). Echo-state network based adaptive fuzzy sliding-mode consensus control scheme for nonlinear multi-agent systems with external disturbances. ISA transactions.
  3. Ali, Elsayed H., Amal A. Sheta, Sayed M. El-Araby, Mohammed I. Mahmoud, and Tarek A. Mahmoud. (2026):  "A self-organized fuzzy neural model for the pressurizer system in nuclear power plants." Annals of Nuclear Energy 227 ,111947.
  4. Mahmoud, T. A., El-Hossainy, M., Abo-Zalam, B., & Shalaby, R. (2025). Event-triggered fractional-order fuzzy sliding mode control using online reinforcement learning for uncertain nonlinear systems: Practical validation. Engineering Applications of Artificial Intelligence, 151, 110653.
  5. Elshenawy, L. M., Badawy, A., AbouOmar, M. S., & Mahmoud, T. A. (2025). A self-organizing soft sensor for process control systems: Integrating support vector regression with subtractive clustering. Neural Computing and Applications, 37(28), 23301-23333.
  6. Sheta, A. A., Ali, E. H., Fikry, R. M., Mahmoud, T. A., El-Araby, S. M., & Mahmoud, M. I. (2025). Processor-in-the-Loop Simulation and Multivariable Control System Design for Pressurizer System in Nuclear Power Plants. Arabian Journal for Science and Engineering, 1-31.
  7. Sheta, A. A., Ali, E. H., Fikry, R. M., Mahmoud, T. A., El-Araby, S. M., & Mahmoud, M. I. (2025). Processor-in-the-Loop Simulation and Multivariable Control System Design for Pressurizer System in Nuclear Power Plants. Arabian Journal for Science and Engineering, 1-31.
  8. Abd-El Haleem, S., Hussien, M. A., Hamdy, M., & Mahmoud, T. A. (2024). Event-triggered model-free adaptive control for nonlinear systems using intuitionistic fuzzy neural network: simulation and experimental validation. Complex & Intelligent Systems, 10(2), 2271-2297.
  9. Mahmoud, T. A., El-Hossainy, M., Abo-Zalam, B., & Shalaby, R. (2024). Fractional-order fuzzy sliding mode control of uncertain nonlinear MIMO systems using fractional-order reinforcement learning. Complex & Intelligent Systems, 1-29.
  10. Shalaby, R., El-Hossainy, M., Abo-Zalam, B., & Mahmoud, T. A. (2023). Optimal fractional-order PID controller based on fractional-order actor-critic algorithm. Neural Computing and Applications, 35(3), 2347-2380.
  11. Elshenawy, L. M., Chakour, C., & Mahmoud, T. A. (2022). Fault detection and diagnosis strategy based on k-nearest neighbors and fuzzy C-means clustering algorithm for industrial processes. Journal of the Franklin Institute, 359(13), 7115-7139.
  12. Mahmoud, T. A., & Elshenawy, L. M. (2022). TSK fuzzy echo state neural network: a hybrid structure for black-box nonlinear systems identification. Neural Computing and Applications, 34(9), 7033-7051.
  13. Mahmoud, T. A., et al. (2021). Direct adaptive control for nonlinear systems using a TSK fuzzy echo state network based on fractional-order learning algorithm. Journal of the Franklin Institute, 358(17), 9034-9060.
  14. Elshenawy, L. M., Halawa, M. A., Mahmoud, T. A., Awad, H. A., & Abdo, M. I. (2021). Unsupervised machine learning techniques for fault detection and diagnosis in nuclear power plants. Progress in Nuclear Energy, 142.
  15. Elshenawy, L. M., Mahmoud, T. A., & Chakour, C. (2020). Simultaneous fault detection and diagnosis using adaptive PCA and multivariate contribution analysis. Industrial & Engineering Chemistry Research, 59(47), 20798-20815.
  16. Sheta, A. A., Ali, E. H., Fikry, R. M., Elaraby, S. M., Mahmoud, T. A., & Mahmoud, M. I. (2021). A developed analytical model for the pressurizer unit in nuclear power plants. Journal of Radiation Research and Applied Sciences, 14(1), 179-203.
  17. Elshenawy, L. M., & Mahmoud, T. A. (2018). Fault diagnosis of time-varying processes using modified reconstruction-based contributions. Journal of Process Control, 70, 12-23.
  18. Mahmoud, T. A., & Elshenawy, L. M. (2018). Observer-based echo-state neural network control for a class of nonlinear systems. Transactions of the Institute of Measurement and Control, 40(3), 930-939.
  19. Mahmoud, T. A. (2011). Adaptive control scheme based on least squares support vector machine network. International Journal of Applied Mathematics and Computer Science, 21(4), 685-696.
  20. Sheta, A. A., Ali, E. H., Fikry, R. M., Mahmoud, T. A., Elaraby, S. M., & Mahmoud, M. I. (2021). Intelligent control for pressurizer system in nuclear power plants. Journal of Physics: Conference Series, 2128(1), 012022. IOP Publishing.
  21. Sheta, A. A., Ali, E. H., Fikry, R. M., Mahmoud, T. A., Elaraby, S. M., & Mahmoud, M. I. (2020). Efficient linearized model of pressurizer system in pressurized water reactors for control purposes. Journal of Physics: Conference Series, 1447(1), 012037. IOP Publishing.
  22. Hussien, M. A., Mahmoud, T. A., & Mahmoud, M. I. (2017). Dynamic recurrent neural network based indirect adaptive control for nonlinear systems. Minufiya Journal of Electronic Engineering Research (MJEER), 26(1).

Conference Papers

  1. Abo Salem, A., Mahmoud, T. A., Shalaby, R., & Mahmoud, M. I. (2023). Trajectory planning for safety-critical driving scenarios based on dynamic programming. 3rd IEEE International Conference on Electronic Engineering, Menoufia University, Egypt, 7-8 Oct 2023.
  2. Abd Al Majeed Al Opokey, N., Abdo, M., Mahmoud, T. A., & Elshaikh, E. (2023). A hybrid fractional order fuzzy PID controller using interval type-2 fuzzy neural network. 3rd IEEE International Conference on Electronic Engineering, Menoufia University, Egypt, 7-8 Oct 2023.

Hussien, M. A., Mahmoud, T. A., & Mahmoud, M. I. (2016). Direct adaptive control of process control benchmark using dynamic recurrent neural network. 2nd International Conference on Advanced Intelligent Systems and Informatics (AISI 2016), 24-26 Oct 2016, Cairo, Egypt

Mahmoud, T. A., & Elshenawy, L. M. (2015). Echo state neural network-based state feedback control for SISO affine nonlinear systems. 1st IFAC Conference on Modeling, Identification and Control of Nonlinear Systems, 24-26 June 2015, Saint

Thesis Supervision:-

  1. Petersburg, Russia.

 

  1. Thesis of Eng. Mohamed Ali Attia
    • Degree: Master's
    • Field: Automatic Control Engineering
    • Title: Development of Dynamic Neural Networks in Modeling and Control of Nonlinear Systems
    • Status: Awarded, 2017
  2. Thesis of Eng. Amal Adel Abu Al-Fateh Sheta
  3. Degree: Doctoral
  4. Field: Automatic Control Engineering
  5. Title: Artificial Intelligence Techniques for Modeling and Control of Pressurizer System in Nuclear Power Plants
  6. Status: Awarded, 2024
  7. Degree: Master's
  8. Field: Automatic Control Engineering
  9. Title: Development of Fractional Order Intelligent Controllers for Nonlinear Systems
  10. Status: In Progress
  11. Degree: Doctoral
  12. Field: Automatic Control Engineering
  13. Title: Artificial Intelligence Techniques-Based Fault Detection and Diagnosis in Nuclear Power Plants
  14. Status: In Progress
  15. Degree: Doctoral
  16. Field: Automatic Control Engineering
  17. Title: Motion Planning and Control of Autonomous Vehicles for Safety-Critical Driving Scenarios
  18. Status: In Progress
  19. Degree: Doctoral
  20. Field: Automatic Control Engineering
  21. Title: Development of Machine Learning-Based Fractional Order Controllers for Nonlinear Systems
  22. Status: Awarded
  23. Degree: Doctoral
  24. Field: Automatic Control Engineering
  25. Title: Development of Data-Driven Control Methods for Nonlinear Systems
  26. Status: In Progress
  27. Degree: Doctoral
  28. Field: Automatic Control Engineering
  29. Title: Development of Machine Learning Techniques for Modeling and Control of Chaotic Biomedical Systems
  30. Status: In Progress
  31. Degree: Doctoral
  32. Field: Automatic Control Engineering
  33. Title: Development of Cooperative Intelligent Controller for Multiagent Systems
  34. Status: In Progress
  35. Degree: Master's
  36. Field: Automatic Control Engineering
  37. Title: Intelligent Control of Artificial Ventilation System
  38. Status: In Progress
  39. Thesis of Eng. Nora Abdel-Majeed El-Sayed
  40. Thesis of Eng. Mohamed Ataf Hallawa
  41. Thesis of Eng. Amar Abosalam
  42. Thesis of Eng. Mohamed El-Hossainy
  43. Thesis of Eng. Mohamed Ali Attia
  44. Thesis of Eng. Israa Mostafa
  45. Thesis of Eng. Mostafa Younis
  46. Thesis of Eng. Mina Samir

Scientific Activities:-

Reviewer of the following scientific journals:

  1. International Journal of Applied Mathematics and Computer Science.
  2. Neurocomputing.
  3. IEEE Transactions on Systems, Man and Cybernetics: Systems.
  4. IEEE Transactions on fuzzy systems.
  5. Nuclear Engineering and Technology.
  6. Neural Processing letters, Springer

 Reviewer of the following conferences:

  1. 12th IEEE International Conference on Emerging Technologies (ICET-2016), Islamabad, Pakistan, 18-19 October 2016.
  2. The International Symposium on Recent Advances in Electrical Engineering (RAEE'18), Islamabad, 17-18 October 2018.

Editorial Board Member, 2nd International Conference on Electronic Engineering (ICEEM2021), Menoufia University

Special Session Co-Chair, 3rd Novel Intelligent and Leading Emerging Science

Awards and Honors:-

  1. Outstanding Scientific Publication Award (2021)
    Menoufia University
    For the research article "Simultaneous fault detection and diagnosis using adaptive principal component analysis and multivariate contribution analysis." Published in Journal of Industrial & Engineering Chemistry Research, 59.47 (2020): 20798-20815.
  2. Outstanding Scientific Publication Award (2022)
    Menoufia University
    For the research article "Fault detection and diagnosis strategy based on k-nearest neighbors and fuzzy C-means clustering algorithm for industrial processes." Published in Journal of the Franklin Institute, 359, no. 13 (2022): 7115-7139.
  3. Outstanding Scientific Publication Award (2023)
    Menoufia University
    For the research article "TSK fuzzy echo state neural network: a hybrid structure for black-box nonlinear systems identification." Published in Neural Computing and Applications, 34(9): 7033-7051, 2022 May.
  4. Outstanding Scientific Publication Award (2022)
    Menoufia University
    For the research article "Direct adaptive control for nonlinear systems using a TSK fuzzy echo state network based on fractional-order learning algorithm." Published in Journal of the Franklin Institute, 358.17 (2021): 9034-9060.
  5. Outstanding Scientific Publication Award (2019)
    Menoufia University
    For the research article "Fault diagnosis of time-varying processes using modified reconstruction-based contributions." Published in Journal of Process Control, 70 (2018): 12-23.
  6. Outstanding Scientific Publication Award (2018)
    Menoufia University
    For the research article "Observer-based echo-state neural network control for a class of nonlinear systems." Published in Journal of Transactions of the Institute of Measurement and Control, 40.3 (2018): 930-939.

Professional Development Activities:-

  1. Strategic Planning Course
    Quality Assurance Center, Menoufia University
    January 25-26, 2024
  2. Principles of Describing and Writing Program and Course Reports
    Quality Assurance Center, Menoufia University
    October 27-28, 2023
  3. Internal Audits and Performance Evaluation Course
    Quality Assurance Center, Menoufia University
    October 6-7, 2023
  4. Programmatic Accreditation Course for Colleges and Institutes of Higher Education
    Quality Assurance Center, Menoufia University
    May 2-3, 2023
  5. Negotiation Skills
    International Faculty and Leadership Development Center, Menoufia University
    January 18-20, 2024
  6. Creative Thinking for Leaders
    International Faculty and Leadership Development Center, Menoufia University
    January 11-13, 2024
  7. Mind Mapping Skills
    International Faculty and Leadership Development Center, Menoufia University
    January 15-16, 2019
  8. Thinking Skills
    International Faculty and Leadership Development Center, Menoufia University
    November 21-22, 2018
  9. Strategic Planning
    International Faculty and Leadership Development Center, Menoufia University
    September 30-October 1, 2018
  10. Competitive Research Projects
    International Faculty and Leadership Development Center, Menoufia University
    September 12-13, 2018
  11. Crisis Management
    International Faculty and Leadership Development Center, Menoufia University
    September 4-5, 2018
  12. Using Global Databases
    International Faculty and Leadership Development Center, Menoufia University
    August 28-29, 2018

 

 

 

 

 



Top