Mazen Talaat Mohamed Abd El Moniem Haggag

Demonstrator at Mechatronics Engineering

Career Information

Academic Information

Brief

My research lies at the intersection of mechatronic system design, rehabilitation robotics, intelligent control, and biomechanics. I am interested in how carefully engineered hardware, real-time sensing, and adaptive software can work together to restore or enhance human movement. Drawing on experience with robotics, machine learning, and human-in-the-loop experimentation, I focus on solutions that translate laboratory advances into practical tools for clinicians and end-users.

My current project applies these principles to shoulder-exercise rehabilitation. I integrate wireless surface electromyography (EMG) and 3-D motion capture with Virtual Reality (VR) and Mixed Reality (MR) headsets to deliver interactive, muscle-specific biofeedback in real time. Healthy adults perform a series of standardized shoulder exercises under three conditions: VR feedback, MR feedback, or conventional exercise without immersive technology. By combining objective measures of muscle activation and kinematics with subjective assessments of perceived effort, usability, and user experience, I examine how different feedback modalities influence movement quality, engagement, and learning.

Ultimately, I aim to advance biomechatronics by creating user-adaptive rehabilitation systems that are both scientifically rigorous and clinically relevant. Through this work I hope to provide therapists and patients with immersive, data-driven tools that make rehabilitation more effective, motivating, and personalized.