Bruno Cornelis

Bruno Cornelis is a postdoctoral researcher at Vrije Universiteit Brussel's Electronics and Informatics school, with a focus on biomedical signal processing, digital holography, and deep learning applications. His work spans both fundamental and applied research projects.

• Education: Master's thesis on Quantization-based Watermarking (2007) and Digital Holographic Image Processing (2007)

Research Interests include:

• Deep Learning for Image Restoration and Biomedical Applications
• Sparse Signal Representations in Holography and Anomaly Detection
• Photoplethysmography (PPG) Signal Analysis
• Art Classification via Mathematical Signal Models

Recent Publication Trends show a shift towards real-time traffic data disaggregation, PPG-based health monitoring, and deep learning architectures for image reconstruction. His work often bridges theoretical signal processing with practical biomedical/transportation applications.

Honors:

• BARCO/FWO Master Thesis Award (2007)

Collaborations involve EU-funded initiatives like GEAR and Tech4Health, with cross-disciplinary teams in Belgium and China. He has presented at IEEE conferences on transportation systems (ITSC 2022) and medical imaging (DATE 2025).