Luca Serioli

Biomedical Engineer

Biomedical engineer with multidisciplinary experience across neurotechnology, biomedical data analysis, machine learning, medical imaging and digital CAD/CAM workflows. Recent work includes EEG-based mental workload assessment, deep-learning methods for spinal imaging and quantitative 3D registration workflows based on CBCT data.

EEG & biomedical signalsMedical imaging Machine learningMedical devicesDigital CAD/CAM

Projects

EEG · MSc thesis / g.tec

EEG-based mental workload assessment

Signal processing, feature extraction, machine-learning classification and validation across recording sessions and participants.

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Medical imaging · Cyber Surgery

Vertebral landmark detection

Deep-learning pipeline for automatic thoracic landmark localization on DRRs generated from CT volumes.

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Medical imaging · BSc thesis

Intraoral scan and CBCT model alignment

3D reconstruction, multimodal registration and quantitative assessment of patient-specific digital models.

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EEG markers of mental workload in N-back tasks: temporal dynamics, classification, and generalization

Manuscript currently under review at Frontiers in Neuroergonomics. Shared first authorship.