Name: 3rd International Workshop on Machine Learning and Quantum Computing Applications in Medicine and Physics
Start: 2026-09-07T08:00:00+02:00
End: 2026-09-11T18:30:00+02:00
Location: No location set

3rd International Workshop on Machine Learning and Quantum Computing Applications in Medicine and Physics

from Monday, 7 September 2026 (08:00) to Friday, 11 September 2026 (18:30)

Monday, 7 September 2026

08:40 Pre-Coffee / Registration
Pre-Coffee / Registration
08:40 - 10:00
10:00
10:00 - 11:20
Contributions

10:00 Welcome address - Agnieszka Pollo (National Centre for Nuclear Research AND Jagiellonian University)

10:20 Welcome from the organizers - Wojciech Krzemien (NCBJ)

10:40 Machine learning in astrophysics: old and new challenges - Agnieszka Pollo (National Centre for Nuclear Research AND Jagiellonian University)
11:20 Coffee Break
Coffee Break
11:20 - 11:40
11:40
11:40 - 12:40
Contributions

11:40 The AI Spectroscopist: Unveiling Galaxy and IGM Physics in the Era of Million-Spectrum Surveys - Francesco Pistis (National Centre for Nuclear Research)

12:10 Deep learning approaches to galaxy merger identification and classification - Subhrata Dey (National Centre for Nuclear Research)
12:40 Lunch Break
Lunch Break
12:40 - 13:30
13:30
13:30 - 14:40
Contributions

13:30 Generative Networks for Simulation and Statistic for Generative Networks - Sascha Cassandra Diefenbacher (ITP Heidelberg)

14:10 DSSGAN3D - generative model for Fast Calorimeter Shower Simulation - Aleksander Ogonowski (Warsaw University of Technology, NCBJ)
14:40 Coffee Break
Coffee Break
14:40 - 15:00
Tuesday, 8 September 2026

08:40 Pre-Coffee
Pre-Coffee
08:40 - 09:00
09:00
09:00 - 10:40
Contributions

09:00 AI-assisted experiment design and optimization at the frontiers of computation: new perspectives in fundamental and medical physics - Pietro Vischia (Departamento de Fïsica y ICTEA, Universidad de Oviedo)

09:40 Automated Data/MC Tuning via Phase-Space Optimization - Piotr Kalaczyński (Astrocent, CEAI AGH)

10:10 Machine Learning Models for Electron-Impact Ionization Cross Sections and Mass Spectra - Bartosz Majewski (Gdańsk University of Technology)
10:40 Coffee Break
Coffee Break
10:40 - 11:00
11:00
11:00 - 12:50
Contributions

11:00 Applications of high-performance computing in physics - Tomasz Malkiewicz (CSC / NeIC)

11:40 AI_INFN & CREST: towards a Geo-Distributed Platform for Machine Learning across the INFN Federation - Gioacchino Vino (INFN, Unit of Bari)

12:20 Architectural challenges when serving heterogenous HPC and AI applications at CIŚ - Adam Padee (NCBJ)
12:50 Lunch Break
Lunch Break
12:50 - 13:40
13:40
13:40 - 14:50
Contributions

13:40 Quantum information theory at colliders - Kamila Kowalska (NCBJ)

14:20 Simple quantum many-body dynamics reservoir for image classification - Akitada Sakurai (Okinawa institute of science and technology )
14:50 Coffee Break
Coffee Break
14:50 - 15:10
15:10
15:10 - 16:20
Contributions

15:10 From Shannon to Schrödinger: Quantum Information, PET and AI - Beatrix Hiesmayr (University of Vienna)

15:50 Quantum Extreme Reservoir Computing for brain tumour MRI classification - Chaimae El Bouazizi (Okinawa Institute of Science and Technology)
Wednesday, 9 September 2026

08:40 Pre-Coffee
Pre-Coffee
08:40 - 09:00
09:00
09:00 - 10:10
Contributions

09:00 Diffusion Priors for Physics-Informed CT and PET Reconstruction - Alexandre Bousse (LaTIM U1101)

09:40 Run in seconds on your laptop: A lightweight model for CT segmentation of maxillary sinuses in children with chronic rhinosinusitis - Przemysław Olbratowski (Biological and Chemical Research Centre, University of Warsaw)
10:10 Coffee Break
Coffee Break
10:10 - 10:30
10:30
10:30 - 12:40
Contributions

10:30 Overview and current challenges of practical CT reconstruction - Ander Biguri (University of Cambridge)

11:10 A Fast and Generic Energy‑Shifting Transformer for Hybrid Monte Carlo Radiotherapy Dose Calculation - Chi-Hieu Pham (LaTIM) Julien Bert (LaTIM, UMR1101 INSERM)

11:40 Machine Learning for Event-Level Background Rejection in LAFOV PET - Michał Obara (NCBJ)

12:10 Graph Neural Networks and Multi-Objective Optimization for Coded-Mask Prompt-Gamma Imaging within the SiFi-CC Collaboration - Philippe Clement (Doctoral Schoool of Exact and Natural Sciences, Jagiellonian Universtity, Kraków)
12:40 Conference Photo
Conference Photo
12:40 - 13:00

13:00 Lunch Break
Lunch Break
13:00 - 13:50
13:50
13:50 - 15:00
Contributions

13:50 From Medical to Industrial Imaging with IMPET - Wojciech Krzemien (NCBJ)

14:30 Procedural generation of tomographic datasets for machine learning - Mikołaj Mrozowski (NCBJ)
15:00 Coffee Break
Coffee Break
15:00 - 15:20

19:00

19:00 - 23:00
Thursday, 10 September 2026

08:30 Pre-Coffee
Pre-Coffee
08:30 - 09:00
09:00
09:00 - 10:40
Contributions

09:00 Rethinking the Scientific Workflow in the Age of LLMs: Evidence Synthesis for Medicine and Beyond - Yufang Hou (IT:U)

09:40 THE APPLICATION OF REINFORCED MACHINE LEARNING FOR CACHE MANAGEMENT IN HIGH-LOAD INFORMATION SYSTEMS - Bohdan Volokh (Kyiv National University of Construction and Architecture)

10:10 Tomographic reconstruction from proton CT list-mode data using automatic differentiation - Aurélien Coussat
10:40 Coffee Break
Coffee Break
10:40 - 11:00
11:00
11:00 - 12:40
Contributions

11:00 Quantum Machine Learning: An Overview - Tobias Christoph Sutter (University of Vienna)

11:40 Multi-Agent Reinforcement Learning for Nonlocal Games via Shared VQCs - Dawid Mazur (AGH University of Krakow)

12:10 Causal Discovery with Quantum Machine Learning - Piotr Gawron (CAMK PAN)
12:40 Lunch Break
Lunch Break
12:40 - 13:30
13:30
13:30 - 15:30
Contributions

13:30 Introduction to Quantum Computing - Part 1 - Mateusz Slysz (Poznan Supercomputing and Networking Center) Tomasz Pecyna (Poznańskie Centrum Superkomputerowo-Sieciowe)
15:30 Coffee Break
Coffee Break
15:30 - 16:00
16:00
16:00 - 18:00
Contributions

16:00 Introduction to Quantum Computing - Part 2 - Mateusz Slysz (Poznan Supercomputing and Networking Center) Tomasz Pecyna (Poznańskie Centrum Superkomputerowo-Sieciowe)
Friday, 11 September 2026

08:40 Pre-Coffee
Pre-Coffee
08:40 - 09:00
09:00
09:00 - 10:10
Contributions

09:00 Utilizing Gaussian Boson Sampling for Hyperspectral Data Reduction - Jakub Mielczarek (Jagiellonian University)

09:40 Maximum likelihood using multidimensional hyperplane sections - Kacper Topolnicki (Jagiellonian University)
10:10 Coffee Break
Coffee Break
10:10 - 10:30
10:30
10:30 - 12:20
Contributions

10:30 AI and Monte Carlo Particle Transport in Medical Imaging and Radiotherapy - Nils Krah (INSA Lyon)

11:10 Constraining CP Invariance in Ortho-Positronium Decays at 7 T with NeuroSphere MR-Compatible PET Modules - Magdelena S. Allen (MGH Athinoula A. Martinos Center for Biomedical Imaging)

11:50 Multi‑Start Likelihood Reconstruction with Bayesian Penalisation for Low‑Statistic Positronium Lifetime Imaging - Roman Shopa (National Centre for Nuclear Research)
12:20 Closing remarks - Wojciech Krzemien (NCBJ) Agnieszka Pollo (National Centre for Nuclear Research AND Jagiellonian University)
Closing remarks
- Wojciech Krzemien (NCBJ)
- Agnieszka Pollo (National Centre for Nuclear Research AND Jagiellonian University)
12:20 - 12:50
12:50 Lunch Break
Lunch Break
12:50 - 13:40
13:40
13:40 - 15:40
Contributions

13:40 Optimizing PyTorch AI Models with GPU Profiling and Triton Kernels - Part 1 - Konrad Klimaszewski (NCBJ) Michał Obara (NCBJ)
15:40 Coffee Break
Coffee Break
15:40 - 16:00
16:00
16:00 - 18:00
Contributions

16:00 Optimizing PyTorch AI Models with GPU Profiling and Triton Kernels - Part 2 - Konrad Klimaszewski (NCBJ) Michał Obara (NCBJ)