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- Dr Abdulrahman Al-Shanoon
Dr Abdulrahman Al-Shanoon is an Assistant Professor at the University of Wollongong in Dubai. He holds a PhD in Robotics Engineering and AI Systems from Ontario Tech University, Canada.
His teaching style combines strong theoretical foundations with hands-on learning, enabling students to apply robotics and artificial intelligence concepts to real-world challenges. He encourages critical thinking, innovation, and practical problem-solving skills.
He specialises in advanced robotics and applied artificial intelligence, focusing on building robust, scalable, and ethical AI/ML systems for real-world applications, including autonomous systems, healthcare, and intelligent infrastructure.
Previously, he worked as an AI/ML Scientist at General Motors of Canada, where he contributed to the development of self-driving technologies, including advanced driver assistance systems (ADAS).
- Postdoctoral Scholar, University of Guelph. (Canada)
- Postdoctoral Research Fellow, Ontario Tech University (Canada)
- PhD in Robotics Eng. and A.I., Ontario Tech University (Canada)
Patent:
- Method and system for identifying, flagging, and rectifying unexpected traffic sign data. U.S. Patents. 18/976,933. Jun 11, 2026.
- Method and System for Vehicle Towing. U.S. Patents. P109049-PRI-NP-US0. Aug/2025.
- Wind Monitoring System for A Vehicle. U.S. Patents. P108471-PRI-NP-US01. 11/2024.
- Tandem Electric Vehicle Charging. United States Patents. US20240359575A1. 10/2024.
- Vehicle systems and methods for identification and deduplication of roadway objects. United States Patents. US20260073791A1. 09/2024.
- Vehicle including aerodynamic device control and system. United States Patents. US20250121893A1. 10/2023.
Research Publication:
- Best Presentation Award. Abdulrahman Al-Shanoon, Ed Sykes. “Bridging Classification and Localization in X-Ray Fracture Diagnosis via Weakly-Supervised Vision Transformers.” DMIP, Dec. 2025. University of Tokyo, Japan.
- Ed Sykes, Mohammad M., and Abdulrahman Al-Shanoon. "Benchmarking Time-Series Artificial Intelligence Architectures for Wearable Sensor-Based Fall Prediction: A Synthetic Data Simulation Framework." Sensors 26, no. 11 (2026): 3326.
- Al-Shanoon Abdulrahman, and Haoxiang Lang. "Learn to Grasp Unknown-Adjacent Objects for Sequential Robotic Manipulation." Journal of Intelligent & Robotic Systems 105, no. 4 (2022): 83.
- Al-Shanoon, Abdulrahman, Yanjun Wang, and Haoxiang Lang. "DeepNet-Based 3D Visual Servoing Robotic Manipulation." Journal of Sensors 2022 (2022).
- Al-Shanoon, Abdulrahman, and Haoxiang Lang. "Robotic manipulation based on 3-D visual servoing and deep neural networks." Robotics and Autonomous Systems 152 (2022): 104041.
- Al-Shanoon, Abdulrahman, Haoxiang Lang, and Ying Wang. "Learn to grasp unknown objects in robotic manipulation." Intelligent Service Robotics 14, no. 4 (2021): 571.
Dr Al-Shanoon is motivated by the challenge and opportunity to advance the state-of-the-art in this domain and to contribute to the safety and efficiency of autonomous and AI systems.
His research interests includes:
- Autonomous Systems
- Perception
- Advanced Robotics
- Applied A.I. and Machine Learning
Research Grants:
- UOWD Internal Research Grant: 50,000 AED
Apart from his teaching, Dr Al-Shanoon collaborates on research projects with the University of Guelph in Canada, focusing on developing AI/ML solutions for chronic disease prediction, medical data analysis, and mentoring graduate researchers.
Teaching Advanced Robotics, AI and Automation Courses.
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