Mouaz Al Kouzbary

Dr. Mouaz Al Kouzbary
PhD, M. Eng. Sc., BSc
Department of Mechanical and Mechatronics Engineering
Lecturer 

Contact Details
Location: Skylark 3 Room 329
Tel: +60 85 630 100 Ext: 2455
Fax: +60 85 630288
Email: mouaz.k@curtin.edu.my

Scopus Profile: https://www.scopus.com/authid/detail.uri?authorId=57202956887
Google Scholar: https://scholar.google.com/citations?hl=en&user=8Lc3UKUAAAAJ
Web of Science ResearcherID: https://www.webofscience.com/wos/author/record/K-7347-2017?msg_guid=cBh8p5jMRwiVD09J5k4N4AIocu0  
ORCID: https://orcid.org/0000-0001-9678-875X
ResearchGate: https://www.researchgate.net/profile/Mouaz-Kouzbary

Background

Dr. Mouaz Al Kouzbary is a dedicated academic and researcher in Mechanical and Mechatronics Engineering. As a Lecturer at Curtin University, he brings extensive experience from his doctoral studies and previous roles at Universiti Malaya and BioApps Sdn. Bhd. His research sits at the intersection of biomechanics, robotics, and prosthetics, where he develops cutting-edge solutions to advance assistive technologies. Dr. Al Kouzbary has a robust publication record as first author in top-tier journals, contributing significant work on chaotic time-series analysis of human gait, optimization of robotic knee prostheses, and universal control systems for powered ankle-foot devices. His technical proficiency includes embedded systems, additive manufacturing, and advanced programming, which he applies to drive innovation in intelligent robotic systems.

Academic History

  • Doctoral Degree in Mechanical Engineering, Universiti Malaya, 2025
  • Master Degree in Engineering (Mechanical), Universiti Malaya, 2019
  • Bachelor Degree in Mechatronics Engineering, University of Aleppo, 2015

Research Interest

  • Robotic Prostheses
  • Advanced Control System
  • AI-based Control, Gait Analysis
  • IMU-based gait measurement and analysis 

Selected Publications

A. Journal Publications

  1. Al-Hashimi, Z., Khamis, T., Al Kouzbary, M. et al. A decade of machine learning in lithium-ion battery state estimation: a systematic review. Ionics (2025)
  2. Al Kouzbary, Mouaz, Hamza Al Kouzbary, Jingjing Liu, Hanie Nadia Shasmin, Nooranida Arifin, and Noor Azuan Abu Osman. 2024. “Analysis of Human Ambulation as a Chaotic Time-Series: With Nonlinear Dynamics Tools.” Computer Methods in Biomechanics and Biomedical Engineering
  3. Taha Khamis, Abd Alghani Khamis, Mouaz Al Kouzbary, Hamza Al Kouzbary, Hamam Mokayed, Nasrul Anuar AbdRazak, Noor Azuan Abu Osman, Automated transtibial prosthesis alignment: A systematic review, Artificial Intelligence in Medicine, Volume 156,2024
  4. Liu J, Liu J, Cheah PY, Al Kouzbary M, Al Kouzbary H, Yao SX, et al. (2024) Design and preliminary verification of a novel powered ankle–foot prosthesis: From the perspective of lower-limb biomechanics compared with ESAR foot. PLoS ONE
  5. Tham, L.K., Al Kouzbary, M., Al Kouzbary, H. et al. Estimation of body segmental orientation for prosthetic gait using a nonlinear autoregressive neural network with exogenous inputs. Phys Eng Sci Med 46, 1723–1739 (2023)
  6. Hartani Mohamed Amine, Al Kouzbary Mouaz, Hamouda Messaoud, Abdelkhalek Othmane, Mekhilef Saad,Contribution to strengthening Bus voltage stability and power exchange balance of a decentralized DC-multi-microgrids: Performance assessment of classical, optimal, and nonlinear controllers for hybridized energy storage systems control,Sustainable Cities and Society, Volume 96, 2023
  7. Liu, Jingjing, Muhammad Awais Naeem, Mouaz Al Kouzbary, Hamza Al Kouzbary, Hanie Nadia Shasmin, Nooranida Arifin, Nasrul Anuar Abd Razak, and Noor Azuan Abu Osman. 2023. “Effect of Infill Parameters on the Compressive Strength of 3D-Printed Nylon-Based Material” Polymers
  8. Al Kouzbary, Mouaz, Hamza Al Kouzbary, Jingjing Liu, Taha Khamis, Zaina Al-Hashimi, Hanie Nadia Shasmin, Nooranida Arifin, and Noor Azuan Abu Osman. 2022. “Robotic Knee Prosthesis with Cycloidal Gear and Four-Bar Mechanism Optimized Using Particle Swarm Algorithm” Actuators
  9. Liu, J., Abu Osman, N., Al Kouzbary, M. et al. Stiffness estimation of planar spiral spring based on Gaussian process regression. Sci Rep 12, 11217 (2022)
  10. Hartani Mohamed Amine, Al Kouzbary Mouaz, Hamouda messaoud, Abdelkhalek Othmane, Mekhilef Saad, The impacts of control systems on hybrid energy storage systems in remote DC-Microgrid system: A comparative study between PI and super twisting sliding mode controllers, Journal of Energy Storage, Volume 47, 2022
  11. Liu, J., Osman, N.A.A., Kouzbary, M.A. et al. Optimization and Comparison of Typical Elastic Actuators in Powered Ankle-foot Prosthesis. Int. J. Control Autom. Syst. 20, 232–242 (2022)
  12. H. A. Kouzbary, M. A. Kouzbary, L. K. Tham, J. Liu, H. N. Shasmin and N. A. Abu Osman, “Generating an Adaptive and Robust Walking Pattern for a Prosthetic Ankle–Foot by Utilizing a Nonlinear Autoregressive Network With Exogenous Inputs,” in IEEE Transactions on Neural Networks and Learning Systems, vol. 33, no. 11, pp. 6297-6305, Nov. 2022
  13. L. K. Tham, N. A. A. Osman, M. A. Kouzbary and K. Aminian, “Biomechanical Ambulatory Assessment of 3D Knee Angle Using Novel Inertial Sensor-Based Technique,” in IEEE Access, vol. 9, pp. 36559-36570, 2021
  14. Liu, J., Abu Osman, N. A., Al Kouzbary, M., Al Kouzbary, H., Abd Razak, N. A., Shasmin, H. N., and Arifin, N. (January 28, 2021). “Classification and Comparison of Mechanical Design of Powered Ankle–Foot Prostheses for Transtibial Amputees Developed in the 21st Century: A Systematic Review.” ASME. J. Med. Devices. March 2021
  15. Al Kouzbary, M., Abu Osman, N.A., Al Kouzbary, H. et al. Towards Universal Control System for Powered Ankle–Foot Prosthesis: A Simulation Study. Int. J. Fuzzy Syst. 22, 1299–1313 (2020)
  16. Al Kouzbary M, Abu Osman NA, Abdul Wahab AK. Sensorless control system for assistive robotic ankle-foot. International Journal of Advanced Robotic Systems. 2018
  17. A Joukhadar, I Hasan, A Alsabbagh and M Alkouzbary, “Integral Lqr-Based 6dof Autonomous Quadrocopter Balancing System Control” International Journal of Advanced Research in Artificial Intelligence (IJARAI), 4(5), 2015

B. Conferences

  1. Towards Automated Classification for Scoliosis Brace: Data Preprocessing for AI Classifier, Biomed 2024/APOSM 2024.
  2. Robotic ankle-foot prosthesis: how to deal with uncertainty, The 11th Asia-Pacific Conference on Biomechanics 2021.
  3. A Combinational Approach to Generate Nonlinear foot Trajectories for Robotic Prosthesis with Elementary Clinical Results, BioMed2021.