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)


        : Sessions
    /     : Talks
        : Breaks
7 Sep 2026
8 Sep 2026
9 Sep 2026
10 Sep 2026
11 Sep 2026
AM
08:40 --- Pre-Coffee / Registration ---
10:00
Opening session (until 11:20) ()
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 ---
11:40
Machine Learning in Astrophysics (until 12:40) ()
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)   ()
08:40 --- Pre-Coffee ---
09:00
Machine Learning in High Energy Physics (until 10:40) ()
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 - Dr 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 ---
11:00
High Performance Computing (until 12:50) ()
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)   ()
08:40 --- Pre-Coffee ---
09:00
Machine Learning in Medical Applications (until 10:10) ()
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 ---
10:30
Machine Learning in Medical Applications (until 12:40) ()
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 - Dr 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 - Mr Philippe Clement (Doctoral Schoool of Exact and Natural Sciences, Jagiellonian Universtity, Kraków)   ()
08:30 --- Pre-Coffee ---
09:00
Machine Learning in Medical Applications (until 10:40) ()
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 - Dr 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 ---
11:00
Quantum Computing and Machine Learning (until 12:40) ()
11:00 Quantum Machine Learning: An Overview - Mr 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 - Prof. Piotr Gawron (CAMK PAN)   ()
08:40 --- Pre-Coffee ---
09:00
Machine Learning and Quantum Computing Applications (until 10:10) ()
09:00 Utilizing Gaussian Boson Sampling for Hyperspectral Data Reduction - Jakub Mielczarek (Jagiellonian University)   ()
09:40 Maximum likelihood using multidimensional hyperplane sections - Dr Kacper Topolnicki (Jagiellonian University)   ()
10:10 --- Coffee Break ---
10:30
Computational Advances in Medical Physics (until 12:20) ()
10:30 AI and Monte Carlo Particle Transport in Medical Imaging and Radiotherapy - Dr 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)   ()
PM
12:40 --- Lunch Break ---
13:30
Machine Learning in High Energy Physics (until 14:40) ()
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 ---
12:50 --- Lunch Break ---
13:40
Quantum Information and Machine Learning (until 14:50) ()
13:40 Quantum information theory at colliders - Kamila Kowalska (NCBJ)   ()
14:20 Simple quantum many-body dynamics reservoir for image classification - Dr Akitada Sakurai (Okinawa institute of science and technology )   ()
14:50 --- Coffee Break ---
15:10
Quantum Information and Machine Learning (until 16:20) ()
15:10 From Shannon to Schrödinger: Quantum Information, PET and AI - Prof. 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)   ()
12:40 --- Conference Photo ---
13:00 --- Lunch Break ---
13:50
Medical and Industrial Imaging (until 15:00) ()
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 ---
19:00
Conference dinner (until 23:00) ()
12:40 --- Lunch Break ---
13:30
Quantum Computing Tutorial (until 15:30) ()
13:30 Introduction to Quantum Computing - Part 1 - Tomasz Pecyna (Poznańskie Centrum Superkomputerowo-Sieciowe) Mateusz Slysz (Poznan Supercomputing and Networking Center)   ()
15:30 --- Coffee Break ---
16:00
Quantum Computing Tutorial (until 18:00) ()
16:00 Introduction to Quantum Computing - Part 2 - Tomasz Pecyna (Poznańskie Centrum Superkomputerowo-Sieciowe) Mateusz Slysz (Poznan Supercomputing and Networking Center)   ()
12:20 Closing remarks - Wojciech Krzemien (NCBJ) Agnieszka Pollo (National Centre for Nuclear Research AND Jagiellonian University)   ()
12:50 --- Lunch Break ---
13:40
Machine Learning Tutorial (until 15:40) ()
13:40 Optimizing PyTorch AI Models with GPU Profiling and Triton Kernels - Part 1 - Dr Konrad Klimaszewski (NCBJ) Michał Obara (NCBJ)   ()
15:40 --- Coffee Break ---
16:00
Machine Learning Tutorial (until 18:00) ()
16:00 Optimizing PyTorch AI Models with GPU Profiling and Triton Kernels - Part 2 - Dr Konrad Klimaszewski (NCBJ) Michał Obara (NCBJ)   ()