Wael Mohammed

Wael Mohammed is a Postdoctoral Researcher and Doctoral Researcher at Tampere University's Automation Technology and Mechanical Engineering department. His research focuses on advanced robotics, Industry 4.0, and digital twin architecture in manufacturing systems. He holds an MSc in Automation Engineering (2017) and a BSc in Mechatronics Engineering (2010) from the University of Jordan.

His work emphasizes human-robot collaboration, cognitive validation of AI systems, and machine vision for food manipulation. Key contributions include methodologies for digital twin implementation in factories and ontology-driven semantic frameworks for manufacturing processes. Mohammed has contributed to projects like the FASTory digital twin initiative and REMODEL's cable manipulation research.

Research interests span robotics applications in food production, energy-efficient automation, and semantic integration of industrial IoT systems. He has reviewed for IEEE Transactions on Industrial Informatics and co-created datasets on robotic grasping and assembly line optimization. Ongoing work explores large language models for HRC reliability and multimodal human-robot interfaces.