Home \ Faculty Details \ Taha HOUDA
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  • Phone:

    5403

  • Email:

    thouda@pmu.edu.sa

  • Office No:

    F009

  • Taha HOUDA

  • Job Title :

    Assistant Professor of Computer Engineering

  • College :

    College of Computer Engineering and Science


  • Department :

    Computer Engineering


Dr. Taha Houda is an Assistant Professor of Computer Engineering with expertise in Artificial Intelligence, Robotics, and Computer Vision. He has extensive experience in teaching, research, and project supervision, with a strong focus on autonomous systems, virtual/augmented reality, and machine learning applications.

He has worked at Prince Mohammad Bin Fahd University (Saudi Arabia), ESIEE-IT University, and Sorbonne University (France), where he led courses in Computer Science, AI, Robotics, and Control Systems. He is the founder of the SID engineering program at ESIEE, which generates over €450K per year, and has played a pivotal role in digital transformation initiatives, such as leading the Virtual Campus Initiative and MIT’s Duckietown project.

Dr. Houda has also contributed to cutting-edge medical and industrial research, collaborating with King Faisal Specialist Hospital on AI-based cancer detection and VR-based surgical training. He has submitted patents for autonomous robotic inspection and assistive navigation systems. His strong technical background includes C++, Python, MATLAB, ROS2, and SolidWorks, making him a valuable asset in academia and industry alike.

 

  • Ph.D. in Robotics
    Paris-Saclay University, France
    (Sept 2017 – Nov 2020)

    • Thesis Title: Human Interaction in a Large Workspace Parallel Robot Platform with a Virtual Environment
    • Scholarship: Ministry of Higher Education and Research
    • Rank: Very Honorable

  • M.Sc. in Robotics
    Centrale Nantes, France
    (Sept 2016 – June 2017)

    • Scholarship: Erasmus Mundus Excellence Scholarship
    • GPA: A (Rank 1/17)

  • Engineering Degree in Mechanics
    Lebanese University – Faculty of Engineering

Journal Articles

  1. Dillshad, V., Khan, M. A., Nazir, M., Ahmad, J., AlHammadi, D. A., Houda, T., Cho, H.‑C., & Chang, B. (2025). A Multi‑Layers Information Fused Deep Architecture for Skin Cancer Classification in Smart Healthcare. Computers, Materials & Continua, 83(3), 5299–5321. https://doi.org/10.32604/cmc.2025.063851 
  2. Parez, S., Alghamdi, N.S., Mahmood, T. HOUDA et al. Towards precision agriculture: metaheuristic model compression for enhanced pest recognition. Sci Rep 15, 20805 (2025). https://doi.org/10.1038/s41598-025-08307-5
  3. R. Dhaoui, Z. A. Ahmed, T. Houda et al. (2024). "Comparing 2D SLAM Algorithms: A Novel Benchmarking Framework for Map Quality Assessment," Research Square, PREPRINT (Version 1). DOI: 10.21203/rs.3.rs-5014315/v1.
  4. T. Houda, A. Beghdadi, L. Beji, and A. Amouri (2023). "Multi-Complex Robot Interaction with Homothetic Human Feedback in a Virtual Environment," Sensors & Transducers, Vol. 260, No. 2, pp. 15–24.
  5. T. Houda, L. Beji, A. Amouri, and M. Mallem (2022). "Handiski Simulator Performance Under PSO-Based Washout and Control Parameters Optimization," Nonlinear Dynamics.
  6. T. Houda (2020). "Human Interaction in a Large Workspace Parallel Robot Platform with a Virtual Environment."
  7. T. Houda, A. Amouri, L. Beji, and M. Mallem (2019). "Dynamic Parameters Optimization and Identification of a Parallel Robot," Multibody Dynamics 2019.

Conference Proceedings

  1. T. Houda, M.A Khan (2025).  TANet: A Lightweight Deep Learning Model for Large-Scale Remote Sensing Image Classification, FICTA-2025, London, UK. 
  2. L. Alotaibi, M. Alabdulrahman, and T. Houda (2024). "DASH: An Open-Access Low-Cost Quadruped Robot for Innovative Applications," IEEE 16th International Conference on Computational Intelligence and Communication Networks (CICN), pp. 720–726.
  3. T. Houda, A. Amouri, A. Beghdadi, and L. Beji (2024). "Multi-Robot Interaction with Mixed Reality for Enhanced Perception," Smart Applications and Data Analysis (Springer), pp. 3–16. ISBN: 978-3-031-20490-6.
  4. G. Latif, G. B. Brahim, T. Houda, and J. Alghazo (2024). "Date Fruit Classification Using Transfer Learning Techniques," 2024 4th International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET), IEEE, pp. 1–7.
  5. S. Seher, K. Abedi, K. Fatima, S. Badiwalla, and T. Houda (2024). "VR Applications and Vision-Based Recognition Techniques for Sign Language: A Survey," IEEE 16th International Conference on Computational Intelligence and Communication Networks (CICN), pp. 1527–1533.
  6. T. Houda, A. Beghdadi, L. Beji, and A. Amouri (2023). "Complex Multi-Robot Hybrid Platform for Augmented Virtual Skiing Immersion," 3rd IFSA Winter Conference on Automation, Robotics Communications for Industry 4.0/5.0 (ARCI’2023), Chamonix-Mont-Blanc, France.
  7. T. Houda and L. Beji (2022). "Motion Cueing Algorithm Parameters Optimization for Human-Simulator Interactions in Skiing Applications," 9th International Conference on Advances in Applied Mathematics.
  8. T. Houda, J. Charafeddine, H. Hamdan, and S. Chevallier (2022). "On Path Planning and Optimization Strategies: Toward Embedded Road Applications," International Conference on Smart Systems and Power Management (IC2SPM), IEEE, pp. 197–202. DOI: 10.1109/IC2SPM56638.2022.9988830.
  9. T. Houda, L. Beji, A. Amouri, and M. Mallem (2020). "Dynamic Behavior of an Interactive XY-6 DOF Simulator for People with Reduced Mobility," IEEE Conference on Control Technology and Applications (CCTA), pp. 522–527.

  • Assistant Professor of Computer Engineering
    Prince Mohammad Bin Fahd University (PMU), Saudi Arabia (August 2023 – Present)

  • Former Assistant Professor of AI & Robotics
    ESIEE-IT University, Paris, France (April 2021 – August 2023)

  • Former Assistant Professor of AI & Robotics
    Sorbonne University, Paris, France (September 2020 – April 2021)

  • Assistant Professor of Computer Engineering
    Prince Mohammad Bin Fahd University (PMU), Saudi Arabia (August 2023 – Present)

    • Teaching courses in Computer Science, Computer Organization, Modern Control Systems, and Robotics.
    • Advisor of the Robotics Club and responsible for Robotics Center development.
    • Leading the Duckietown project from MIT for hands-on robotics, AI, and computer vision education.

  • Assistant Professor of AI & Robotics
    ESIEE-IT University, Paris, France (April 2021 – August 2023)

    • Taught 3D Modeling, Robotic Modeling, and Virtual/Augmented Reality.
    • Conducted research on Autonomous Mobile Robots for Embedded Road Applications.
    • Delivered 623 hours of lectures.

  • Assistant Professor of AI & Robotics
    Sorbonne University, Paris, France (September 2020 – April 2021)

    • Taught Artificial Intelligence and Machine Learning.
    • Conducted research on Human Activity Recognition and Fall Detection using Wearable Sensors and Vision Systems.
    • Delivered 181 hours of lectures.

 

Prince Mohammad Bin Fahd University (PMU), Saudi Arabia (August 2023 – Present)

  • Computer Science
  • Computer Organization
  • Modern Control Systems
  • Robotics (Industrial & Autonomous Robots)

ESIEE-IT University, Paris, France (April 2021 – August 2023)

  • 3D Modeling
  • Robotic Modeling
  • Virtual and Augmented Reality

Sorbonne University, Paris, France (September 2020 – April 2021)

  • Artificial Intelligence
  • Machine Learning

 

Dr. Taha Houda’s research focuses on Artificial Intelligence, Robotics, and Human-Computer Interaction, with applications in healthcare, industrial automation, and assistive technologies. His key areas of interest include:

  • Autonomous Systems & Robotics
    • Mobile robots for navigation, inspection, and assistance.
    • Quadruped robots for visually impaired navigation.
    • AI-driven robotic control and optimization.
  • Computer Vision & Machine Learning
    • Human activity recognition and fall detection using wearable sensors and vision systems.
    • Deep learning for medical imaging, including cancer detection from MRI scans.
    • Object detection and tracking for robotic applications.
  • Virtual & Augmented Reality (VR/AR) in Education & Healthcare
    • Immersive learning experiences for robotics education.
    • VR-based surgical and respiratory training.
    • Augmented reality applications for campus navigation and lab simulations.
  • AI for Smart Systems & Digital Transformation
    • AI-driven traffic monitoring and urban mobility solutions.
    • Autonomous railway defect inspection and repair.
    • AI-based predictive maintenance for industrial robotics.