About
Dimitrios Stoidis is a Visiting Professor at Queen Mary University of London's School of Electronic Engineering and Computer Science. He teaches the postgraduate module 'Introduction to Computer Vision,' focusing on machine learning techniques applied to computer vision challenges. His research emphasizes privacy-preserving technologies in computer vision and speech processing, with notable work on disentangled speech representations and gender-ambiguous voice generation for privacy protection.
His research interests span machine learning, data privacy, and ethical AI applications. Recent publications (2021–2022) highlight innovations in securing identity and gender through advanced speech processing and graph-based privacy frameworks.
No scientific awards or grants are explicitly mentioned in available records. He contributes to academic teaching and research without listed student advisees or affiliated labs.
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