Marco Mattavelli
Professor · Data Compression
Swiss Federal Institute of Technology in LausanneAbout
Marco Mattavelli is a Professor at the École Polytechnique Fédérale de Lausanne (EPFL), affiliated with the School of Engineering (STI) and the Microsystems Engineering Laboratory (MM). His research focuses on data compression, hardware design for embedded systems, biomedical electronics, and blockchain/metaverse applications. He leads the GRAMM lab and has contributed to standards like MPEG-G for genomic data. His work spans FPGA-based systems, signal processing, and implantable medical devices.
Education and affiliations: EPFL faculty since at least 2000, with roles in teaching and research. Collaborations include MPEG standards development, multidisciplinary projects in genomics and biomedical engineering.
Research interests emphasize interdisciplinary innovation: genomic data compression, high-performance embedded systems, and leveraging blockchain for digital assets. His lab develops cutting-edge solutions for medical devices and energy-efficient electronics.
Publications highlight contributions to neural clustering algorithms, genomic compression, and metaverse data analysis. Over 200 publications in top venues like IEEE Transactions and conferences like DCC, ICASSP, and BioCAS.
Grants and labs: Active in securing research funding for projects in biomedical sensors, heterogeneous computing, and genomic standards. The GRAMM lab is central to his research activities.
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