Research

Over a decade of research spanning music technology, computer vision, IoT, and industry. Click any project to read more.

Music Tech
Gesture Detection for Electric Guitar
IMU-based gesture recognition bridging guitarist technique and stage presence. Part of PhD research at UniTrento.
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Music Tech
Musical Pattern Detection
MIDI Awards 2023 finalist. Real-time phrase detection across symbolic and audio data, from monophonic to polyphonic.
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Music Tech
Multisensory Concerts
Designing multi-modal concert experiences that extend beyond the auditory dimension.
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Music Tech
Datasets for Musical Pattern Detection
Curated dataset of musician-validated phrase repetitions capturing expressive and stylistic variation.
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IoT
Continuous Blood Pressure Monitoring for COVID-19 Patients
Retrofitted IoT system for remote, continuous SpO₂ and blood pressure monitoring — reducing staff exposure risk.
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Computer Vision
Automated Quality Checking of Care Labels
Computer vision system that reduced garment care label quality check time by ~99.5%.
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Computer Vision
Automated Fabric Quality Checking
Macro-camera defect detection for raw fabric rolls, catching artifacts invisible to the human eye.
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Industry
Seamless Digital Prints of Finished Garments
Technology enabling continuous, seamless digital print workflows directly on finished garments.
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Industry
Smart Retail Racks
Sensor-equipped retail racks enabling smarter inventory interaction and customer engagement.
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Industry
Smart Prototyping for Garment Prints
AR projection table that lets customers visualize print designs on real garments before production.
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