MINOAS Workshop Concludes at ICS-FORTH

The MINOAS Workshop (Machine Intelligence for iNverse imaging, Observation Analysis and Sensing) was successfully held at the Institute of Computer Science of FORTH (ICS-FORTH), bringing together leading international researchers to exchange ideas at the intersection of machine learning, inverse problems, and imaging sciences

MINOAS Workshop - Day #1

• Dr. Philippe Ciuciu || Abstract
  CEA Fellow & Research Director (CEA/NeuroSpin and Inria MIND)
  Title: Non-Cartesian MR imaging in the deep learning era
  
• Prof. Maria Vakalopoulou
  Assistant Professor (MCF) CentraleSupelec, University Paris Saclay, leader of the biomathematics group of MICS Laboratory
• Prof. Mame Diarra FALL || Abstract
  Associate Professor (MCF-HDR) / Mathematics
  Title: Bayesian Image Restoration with Deep Learning-Based Priors
  
• Prof. Vangelis Harmandaris || Abstract
  Professor of Applied Mathematics, University of Crete & ERA Chair Prof, The Cyprus Institute, Cyprus
  Title: Physics-informed and ML-based Models for Inverse Problems in Multi-scale Modeling of Complex Materials
  



MINOAS Workshop - Day #2

• Prof. Jason McEwen || Abstract
  Professor of Astrostatistics and Astroinformatics University College London, Dept of Space & Climate Physics
  Title: High-dimensional uncertainty quantification with deep data-driven priors
• Enrico Magli || Abstract
  Professor (Associate) at Polytechnic University of Turin
  Title: Getting the brain close to the eyes: a journey towards satellite onboard AI



MINOAS Workshop - Day #3

• Prof. David Donoho || Abstract
  Professor of Humanities and Sciences Professor of Statistics Stanford University, USA
  Title: Self-Supervised Learning — Can One Really Do Away with Data Labeling?
• Prof. Yves Wiaux || Abstract
  Head of Laboratory @BASP , Head of Institute @ISSS, Heriot-Watt University, UK
  Title: The R2D2 deep neural network series paradigm for robust ultra-fast precision imaging in radio astronomy
  

Overall, the MINOAS Workshop provided a dynamic forum for advancing research in computational imaging, machine intelligence, and inverse problems. The event reinforced the role of ICS-FORTH as a hub for cutting-edge scientific dialogue and collaboration, strengthening ties between disciplines and communities that are driving innovation in imaging sciences and beyond.