Summary

Paschalis Bizopoulos (in Greek: Πασχάλης Μπιζόπουλος) is a Computer Engineer with experience in designing, developing, deploying, and maintaining Nix-based AI applications using portable tools, adhering to well-established standards, and applying best practices in DevOps and MLOps. He invented Sparsely activated networks, which can be used for signal decomposition, compression and motif finding.

Education

• (2014-2019) PhD School of Electrical and Computer Engineering, National Technical University of Athens, Thesis: Sparsely Activated Networks: A new method for decomposing and compressing data (in Greek) [abstract] [pdf]
• (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
• (2003-2010) BSc Department of Electrical & Computer Engineering, Aristotle University of Thessaloniki, Thesis: Soliton Solutions of Sigma models in 1+1 and 2+1 dimensions

Research Experience

• Postdoctoral researcher
  • (2025 Apr-2025 Aug) ENACT-Horizon Europe, Thessaloniki, Greece
  • (2024 Oct-2025 Aug) dTHOR-EDF, Thessaloniki, Greece
  • (2023 May-2024 Apr) TeamAware-Horizon 2020, Thessaloniki, Greece
  • (2023 Apr-2025 Jun) ENFLATE-Horizon Europe, Thessaloniki, Greece
  • (2023 Apr-2023 Jun) MyRuralHealth-CRANE, Thessaloniki, Greece
  • (2021 Apr-2024 Mar) INCISIVE-Horizon 2020, Thessaloniki, Greece
  • (2020 Feb-2021 Mar) TeNDER-Horizon 2020, Thessaloniki, Greece
• Postgraduate researcher
  • (2018 Jul-2020 Jan) HOLOBALANCE-Horizon 2020, Athens, Greece
  • (2017 Sep-2018 Mar) Doctoral dissertation visiting research student, Harvard-MIT Biomedical Engineering Center, Boston, USA
  • (2017 Jul-2017 Aug) HarmonicSS-Horizon 2020, Athens, Greece
  • (2016 Jul-2017 May) Center for the Fight against Infarction, Rome, Italy
  • (2015 Apr-2016 Jun) HEARTEN-Horizon 2020, Athens, Greece
  • (2014 Sep-2015 Jan) EurHealthAgeing-FP7, Athens, Greece

Awards

• (2017 June) Fulbright Scholarship
• (2002) Honorary award from the Hellenic Mathematical Society
• (1997-2003) High School excellence awards

Teaching

• (2013-2015) DSP on Biomedical Signals, Undergraduate laboratory course, National Technical University of Athens
• (2013-2015) Principles of Biomedical Imaging, Undergraduate laboratory course, National Technical University of Athens

Select publication

1. Paschalis Bizopoulos, and Dimitrios Koutsouris. "Sparsely activated networks." IEEE transactions on neural networks and learning systems 32.3 (2020): 1304-1313. [abstract] [pdf] [code] [web application]

Scholar profile

Skills

• Technical
  • Unix
  • Vim
  • Git
  • Nix
  • Python
  • LaTeX
  • HTML/CSS/JavaScript
• Languages
  • English (Proficiency, University of Michigan ECPE)
  • Greek (Native speaker)

Sample HTML/CSS/JavaScript applications

• Comprehensive Comparison of Deep Learning Models for Lung and COVID-19 Lesion Segmentation in CT
• Signal2Image Modules in Deep Neural Networks for EEG Classification
• Sparsely activated networks

Contact

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