Mohamed Redouane Kafi

About

Kafi Mohamed Redouane received the B.Sc. degree in Electrical Engineering from the University Batna, Algeria, the M.Sc. degree from the Military Polytechnical School, Algeria. He is currently working towards his PhD degree in Electrical Engineering from the University of Biskra, Algeria. He is currently an Associate Professor in the Electrical Engineering (EE) department at the University Kasdi Merbah Ouargla, Algeria. His research lies in the broad area of robust control design for nonlinear systems. In particular, he conducts research on UAV design, control systems and mechatronics, Machine learning, diagnosis and prognostic. He is a founder member of the Electrical Engineering research Laboratory (LAGE) at the University Kasdi Merbah Ouargla. Mr KAFI is an author/co-author of technical papers, which are published in leading journals and conferences.

Employment

• Université Kasdi Merbah Ouargla Associte Professor
  2001 - Present

Education

• Université Kasdi Merbah Ouargla

Projects & Funding

Projects & funding information is unavailable.

Publications (49)

• Robust Control of Multi-Cellular DC–DC Converters Using Model-Free Deep Q-Network Reinforcement Learning
  IEEE Access 2026 DOI: 10.1109/ACCESS.2026.3671975
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• Adaptive UAV Control with Sensor and Actuator Faults Recovery
  Aerospace 2025 DOI: 10.3390/aerospace12030261
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• Fault tolerant control and fault diagnosis methods integrated using intelligent controller for hybrid dynamic systems
  Diagnostyka 2024 DOI: 10.29354/diag/192181
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• Hybrid supervision scheme for satellite attitude control with sensor faults
  CEAS Space Journal 2024 DOI: 10.1007/s12567-024-00548-w
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• Satellite fault tolerant attitude control based on expert guided exploration of reinforcement learning agent
  Journal of Experimental & Theoretical Artificial Intelligence 2024 DOI: 10.1080/0952813x.2024.2321152
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• Impact of noise on data routing in flying Ad hoc networks
  Optical and Quantum Electronics 2024 DOI: 10.1007/s11082-023-06217-2
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• Fault prognosis of subsurface safety valve system with limited real data using self-adaptive neural network
  Evolving Systems 2023 DOI: 10.1007/s12530-023-09525-w
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• Stationary Wavelet-Based Image Watermarking for E-Healthcare Applications
  Cybernetics and Systems 2023 DOI: 10.1080/01969722.2023.2166253
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• Stationary, continuous, and discrete wavelet-based approach for secure medical image transmission
  Research on Biomedical Engineering 2023 DOI: 10.1007/s42600-023-00261-3
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• A redundant wavelet based medical image watermarking scheme for secure transmission in telemedicine applications
  Multimedia Tools and Applications 2023 DOI: 10.1007/s11042-022-13649-7
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