About
Luca Marinelli is a Tutor at Queen Mary University of London's School of Electronic Engineering and Computer Science, concurrently pursuing doctoral research on multimodal analysis of gender encoding in advertising music. His work bridges machine listening, computational musicology, and critical discourse analysis.
Research explores deep learning approaches to decode gendered sound patterns in media, employing music information retrieval (MIR) techniques on large-scale advertising corpora. Recent publications focus on explainable AI for bias detection in commercial audio, foundation models for music, and multimodal gender representation.
Teaching: Leads the Professional and Research Practice undergraduate module, covering engineering ethics, communication skills, and career development frameworks through project-based learning.
Doctoral project investigates historical sedimentation of gender stereotypes in sonic branding, combining MIR with social theory to audit cultural biases in advertising soundtracks.
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