Hamit Soyel

Dr. Hamit Soyel is a Research Fellow at Queen Mary University of London's School of Electronic Engineering and Computer Science, affiliated with the Dragonfly initiative. His work spans educational technology, healthcare innovation, and computer vision. His research focuses on enhancing learning through video-based methods, improving rheumatoid arthritis care via technology, and advancing facial recognition systems using geometric and algorithmic approaches.

Key research themes include cognitive load optimization in educational videos, patient-clinician communication barriers in RA care, and robust image processing techniques for medical and facial analysis. His interdisciplinary approach bridges computer science with healthcare and education, aiming to develop practical technological solutions.

Publications highlight trends in medical technology adoption, video instruction design, and facial expression recognition. He has contributed to patents in image enhancement and algorithms for 3D facial geometry analysis. His work reflects a commitment to both theoretical innovation and real-world applications.

No scientific awards are explicitly listed, though his extensive publication record indicates recognition in his fields. He has advised no documented students but collaborates on projects involving healthcare technology and educational systems.

His involvement in the Dragonfly project suggests affiliation with cross-disciplinary teams focused on interactive companions and affect-sensitive technologies. Research labs or groups are not explicitly mentioned, but his work aligns with Queen Mary's broader initiatives in AI and healthcare tech.