Dr. Rayane Tchantchane

Dr. Rayane Tchantchane is an Assistant Professor in Robotics in the Department of Mechanical, Electrical and Intelligent Systems at the American University of Ras Al Khaimah (AURAK), UAE. She received her Ph.D. in Mechatronic Engineering from the University of Wollongong, Australia. Her research interests include robotics, human–machine interaction, multi-modal sensing, wearable sensing technologies, intelligent systems, and machine learning. Her research advances human–machine interaction by integrating intelligent sensing, machine learning, and robotic systems to enable more intuitive, adaptive, and effective technologies for real-world applications.

• Ph.D. in Mechatronic Engineering, University of Wollongong, Australia (UOW), 2026
• B.Sc. in Mechanical Engineering, University of Wollongong in Dubai (UOWD), 2021

Research and Publications

• Tchantchane, R., Zhou, H., Zhang, S., & Alici, G. (2023). A Review of Hand Gesture Recognition Systems Based on Non-invasive Wearable Sensors. Advanced Intelligent Systems, 5(10). doi: 10.1002/aisy.202300207
• Zhang, S., Zhou, H., Tchantchane, R., & Alici, G. (2024). Hand Gesture Recognition Across Various Limb Positions Using a Multimodal Sensing System Based on Self-Adaptive Data-Fusion and Convolutional Neural Networks (CNNs). IEEE Sensors Journal, 24(11), 18633–18645. doi: 10.1109/JSEN.2024.3389963
• Zhang, S., Zhou, H., Tchantchane, R., & Alici, G. (2024). Enhancing Hand Gesture Recognition for Varied Arm Positions Through the Integration of Co-Located sEMG-pFMG Armband. In Proceedings of the IEEE RAS and EMBS International Conference on Biomedical Robotics and Biomechatronics (pp. 88–93). doi: 10.1109/BioRob60516.2024.10719736
• Tchantchane, R., Zhou, H., Zhang, S., Dunn, A., Sariyildiz, E., & Alici, G. (2025). Advancing Human–Machine Interface (HMI) through Development of a Conductive-Textile Based Capacitive Sensor. Advanced Materials Technologies, 10(6). doi: 10.1002/admt.202401458
• Tchantchane, R., Zhou, H., Zhang, S., & Alici, G. (2025). Graph Neural Network for FMG-based Hand Gesture Recognition. In IEEE/ASME International Conference on Advanced Intelligent Mechatronics AIM. doi: 10.1109/AIM64088.2025.11175748
• Tchantchane, R., Zhou, H., Zhang, S., & Alici, G. (2025). High-Performance Flexible Capacitive Pressure Sensor based on Multi-Walled CNT for Motion Detection. In 2025 IEEE International Conference on Mechatronics ICM 2025. doi: 10.1109/ICM62621.2025.10934891
• Zhang, S., Zhou, H., Tchantchane, R., & Alici, G. (2025). Examining the Relationship Between Hand Gesture Recognition Accuracy and Data Quality Indices for EMG and pFMG Signals: A Correlation Analysis. In 2025 IEEE International Conference on Mechatronics ICM 2025. doi: 10.1109/ICM62621.2025.10934916
• Zhang, S., Zhou, H., Tchantchane, R., & Alici, G. (2025). A Wearable Human-Machine-Interface (HMI) System Based on Colocated EMG-pFMG Sensing for Hand Gesture Recognition. IEEE ASME Transactions on Mechatronics, 30(1), 369–380. doi: 10.1109/TMECH.2024.3386929
• Tchantchane, R., Zhou, H., Zhang, S., & Alici, G. (2025). Fabrication and Characterization of a Soft and Stretchable Capacitive Strain Sensor for Hand Gesture Recognition. IEEE Sensors Journal, 25(1), 601–612. doi: 10.1109/JSEN.2024.3493160
• Zhang, S., Zhou, H., Tchantchane, R., & Alici, G. (2026). Utilizing Data Quality Indices for Strategic Sensor Channel Selection to Enhance Performance of Hand Gesture Recognition Systems. Sensors, 26(4), 1213. doi: 10.3390/s26041213
• Zhang, S., Zhou, H., Tchantchane, R., & Alici, G. (2026). Evaluating Dual-Path Temporal Fusion Strategies for Multi-Modal Hand Gesture Recognition Under Limb-Position Variability. Journal of Neural Engineering, 23(1). doi: 10.1088/1741-2552/ae4653
• Zhang, S., Zhou, H., Tchantchane, R., & Alici, G. (2026). Limb Position Effects In Multimodal Sensing for Hand Gesture Recognition Under Static, Dynamic, And Unseen Arm Positions. IEEE Sensors Journal. doi: 10.1109/JSEN.2026.3687861

• Introduction to Robotics
• Engineering Measurements
• Engineering Seminar