Works Presented at Scientific Conferences, Workshops, and Summer Schools

  1. S. Kaldas et al.
    Developing Unsupervised Deep Learning Models for Real-Time Multi-Diagnostic Improved Processing in Tokamaks
    Presented as Oral Presentation at:
    • PhDiaFusion2025 – 6th Summer School of Plasma Diagnostics, Towards a Fusion Reactor: Synergy Between Public and Private Initiatives, 9–13 June 2025, Niepołomice Royal Castle, Poland.
    • Joint EPS-SIF International School on Energy, Nuclear Energy and Its Challenging New Technologies, 23–28 June 2025, Villa Monastero, Varenna, Italy.

  2. T. Sajid et al.
    Divertor Tokamak Test Density Field Reconstruction Through Supervised Deep Learning Neural Network Architecture
    Poster Presentation, 14th ITER International Summer School 2025, 30 June – 4 July 2025, Aix-en-Provence,France.

  3. I. Wyss et al.
    Design Optimization of a Bolometer System for an ITER-Like Geometry
    Poster Presentation, 14th ITER International Summer School 2025, 30 June – 4 July 2025, Aix-en-Provence,France.

  4. N. Rutigliano et al.
    Multi-Diagnostic Plasma Equilibrium Reconstructions with Physics-Informed Neural Networks (PINNs) for Tokamak Applications
    Poster Presentation, 14th ITER International School 2025, 30 June – 4 July 2025, Aix-en-Provence,France.

  5. N. Rutigliano et al.
    A Multi-Diagnostics Plasma Equilibrium Reconstructor Through Physics-Informed Neural Networks (PINNs) for Nuclear Fusion Applications
    Poster Presentation, 51st EPS Conference on Plasma Physics, 7–11 July 2025, Vilnius, Lithuania.

  6. I. Wyss et al. Real-Time Compatible Tomographic Algorithms Oral Presentation, International Conference on Diagnostics for Fusion Reactors, The Burning Plasma Era, 01 - 05 September 2025, Villa Monastero, Varenna, Italy.

  7. N. Rutigliano et al. A Neural Network Approach to Integrated Data Analysis: an Application to Multi-Diagnostic Equilibrium Reconstruction Invited Oral Presentation, International Conference on Diagnostics for Fusion Reactors, The Burning Plasma Era, 01 - 05 September 2025, Villa Monastero, Varenna, Italy.

  8. R. Rossi et al. The Potential of Physics-Informed Neural Networks to Analyse Tokamak Diagnostic Measurements Invited Oral Presentation, 6th IAEA Technical Meeting on Fusion Data Processing, Validation and Analysis, 09 - 12 September 2025, Fudan University, China.

  9. N. Rutigliano et al. Physics-Informed Neural Network, Multi-Diagnostics Equilibrium Reconstruction, Inverse Problems Invited Oral Presentation, 6th IAEA Technical Meeting on Fusion Data Processing, Validation and Analysis, 09 - 12 September 2025, Fudan University, China.

  10. I. Wyss et al. Latest Developments of the Maximum Likelihood Approach to Tomography for both Offline and Real Time Investigation of the Total Emission of Radiation Oral Presentation, 6th IAEA Technical Meeting on Fusion Data Processing, Validation and Analysis, 09 - 12 September 2025, Fudan University, China.

  11. R. Rossi et al. Integrating Deep Learning with Plasma Physics for Multi-Diagnostic & Time-Constrained Inverse Problems Oral Presentation, AAPPS-DPP, 9th Asia-Pacific Conference on Plasma Physics, 21 - 26 Sept 2025, Fukuoka, Japan.

  12. S. Kaldas et al. Scientific Machine Learning for Real–Time Multi–Diagnostic Data Processing Poster Presentation, FuseNet PhD event 2025, 04 - 06 Nov 2025, Aix-en-Provence, France.