Paschalis Bizopoulos (in Greek: Πασχάλης Μπιζόπουλος) is a computer
engineer with experience in designing, developing, deploying, and
maintaining reproducible AI systems using Nix-based environments portable
tools, adhering to well-established standards, and applying best practices
in DevOps and MLOps. He introduced
Sparsely activated networks, which can be used for signal decomposition, compression and motif
finding.
(2011-2012) MSc Wireless Communication Systems,
Brunel University, Awarded with
distinction, Thesis (completed at
ESIEE, Paris, France): EEGArtimat,
An EEG Artifact Detector and Removal tool