MINOAS – Machine Intelligence for iNverse imaging, Observation Analysis and Sensing Workshop
Workshop Location
MINOAS Program
Description
Data driven methods have profoundly transformed the fields signal sensing and analysis.
- Machine learning for inverse imaging problems
- Physics-informed and hybrid AI models for inverse problems
- Data-driven priors and generative models in imaging
- Bayesian inference and uncertainty quantification in inverse problems
Call for papers and submission guidelines
Dates: 24-26 September 2025
Location: FORTH, Dougalis room
Registration form
Organizing Committee
Keynote Speakers
-
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
-
Prof. Maria Vakalopoulou
Assistant Professor (MCF) CentraleSupelec, University Paris Saclay, leader of the biomathematics group of MICS Laboratory -
Dr. Philippe Ciuciu ||
Abstract
CEA Fellow & Research Director (CEA/NeuroSpin and Inria MIND)
Title: Non-Cartesian MR imaging in the deep learning era
-
Prof. Mame Diarra FALL
||
Abstract
Associate Professor (MCF-HDR) / Mathematics
Title: Bayesian Image Restoration with Deep Learning-Based Priors -
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 -
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 -
Enrico Magli
||
Abstract
Professor (Associate) at Polytechnic University of Turin
Title: Getting the brain close to the eyes: a journey towards satellite onboard AI
Workshop Location
MINOAS Program
Important Dates
Registration opens: 1st April 2025
Abstract Submission Deadline: 30th June 2025
Abstract Submission Deadline: 20th July 2025
Notification of acceptance: 25th July 2025
Conference Registration Deadline: 30th August 2025