Birmingham City University | United Kingdom
Dr. Fawaz Annaz is a distinguished researcher recognized for his extensive contributions to robotics, electromechanical systems, artificial intelligence, and mechatronics. With 622 citations, 9 h-index, and 9 i10-index, his scholarly impact spans decades of innovation and collaboration across Japan, the UK, Malaysia, and beyond. He has published over 60 research papers in leading Q1 and Q2 journals such as Aerospace Science and Technology and Sustainable Cities and Society. His pioneering patents—including a European patent for a new generation of industrial robots and a U.S. patent for a visual pronunciation dictionary—demonstrate his cross-disciplinary innovation bridging engineering and linguistics. Dr. Annaz has led several international research collaborations in UAV technologies, smart actuation, AI explainability, and biomedical systems such as the mono-pivot artificial heart. As a Chartered Engineer (CEng), Fellow of the Higher Education Academy (FHEA), and member of the Institution of Engineering and Technology (IET), he continues to advance global research in robotics, automation, and intelligent systems through academic leadership, external examining, and PhD supervision. His research excellence is reflected not only in his publication record but also in his lasting contributions to sustainable technological advancement and interdisciplinary innovation.
Profiles : Scopus | Orcid | Google Scholar
Featured Publications
Annaz, F. Y. (2025). Robust equalization of multi-lane electromechanical actuators: Comparative analysis of torque-summed and velocity-summed architectures. Aerospace Science and Technology, 2025, 111129. [Q1; IF = 5.8]
Nejati Amiri, M., Annaz, F., De Oliveira, M., & Gueniat, F. (2025, July 3–6). Deep reinforcement learning with local interpretability for transparent microgrid resilience energy management. Proceedings of the 5th International Conference on Electrical, Computer and Energy Technologies.
Nejati Amiri, M. H., Sandeep, D., Annaz, F. Y., De Oliveira, M., & Guéniat, F. (2025, March 16). Two-stage microgrid resilience and battery life-aware planning and operation for cyclone-prone areas in India. Sustainable Cities and Society. [Q1; IF = 10.5]
Rezazadeh, N., Annaz, F., Abdullah, W., Vieira Filho, J., & De Oliveira, M. (2025). A transfer learning approach for mitigating temperature effects on wind turbine blades damage diagnosis. Structural Health Monitoring, 0(0). [Q1; IF = 5.7]
Nejati Amiri, M., Annaz, F., De Oliveira, M., & Gueniat, F. (2024). Strategies for resilience and battery life extension in the face of communication losses for isolated microgrids. IEEE COINS 2024. (In press)
Annaz, F. Y. (2024). The impact of force equalization in minimizing the effect of drift in feedback transducers in torque-summed electromechanical actuators. Engineering Science and Technology, an International Journal, 49, 101597. [Q1; IF = 5.7]
Annaz, F. Y., & Kaluarachchi, M. M. (2023). Progress in redundant electromechanical actuators for aerospace applications. Aerospace, 10(9), 787. [Q2; IF = 2.6]
Idrissi, M., Salami, M., & Annaz, F. Y. (2022). A review of unmanned aerial vehicles: Applications, architectural design and control algorithms. Journal of Intelligent and Robotic Systems, 22(1). [Q1; IF = 3.3]
Idrissi, M., Annaz, F. Y., & Salami, M. (2021). Mathematical and physical modelling of a quadrotor UAV. IEEE Conference Proceedings.
Idrissi, M., Salami, M., & Annaz, F. Y. (2021). Modelling, simulation and control of a novel structure varying quadrotor. Aerospace Science and Technology, 2021(8). [Q1; IF = 5.6]
Annaz, F. Y. (2020). Force equalisation in torque-summed electromechanical actuators. Measurement, 156, 16. [Q1; IF = 5.6]
Idrissi, M., & Annaz, F. Y. (2020). Dynamic modelling and analysis of a quadrotor based on selected physical parameters. International Journal of Mechanical Engineering and Robotics Research, 9(6), 784–790. [Q3]
Annaz, F. Y. (2015). UAV testbed training platform development using Panda3D. Industrial Robot: An International Journal, 42(5), 450–456. [Q2; IF = 1.436]
Annaz, F. Y., & Khan, H. (2014). Hardware–virtual environment integration. Proceedings of the Institution of Engineering and Technology (IET), Brunei.