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08:40
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--- Pre-Coffee / Registration ---
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10:00
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Opening session
(until 11:20)
()
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10:00
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Welcome address
-
Agnieszka Pollo
(National Centre for Nuclear Research AND Jagiellonian University)
()
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10:20
|
Welcome from the organizers
-
Wojciech Krzemien
(NCBJ)
()
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10:40
|
Machine learning in astrophysics: old and new challenges
-
Agnieszka Pollo
(National Centre for Nuclear Research AND Jagiellonian University)
()
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11:20
|
--- Coffee Break ---
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11:40
|
Machine Learning in Astrophysics
(until 12:40)
()
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11:40
|
The AI Spectroscopist: Unveiling Galaxy and IGM Physics in the Era of Million-Spectrum Surveys
-
Francesco Pistis
(National Centre for Nuclear Research)
()
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12:10
|
Deep learning approaches to galaxy merger identification and classification
-
Subhrata Dey
(National Centre for Nuclear Research)
()
|
|
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08:40
|
--- Pre-Coffee ---
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09:00
|
Machine Learning in High Energy Physics
(until 10:40)
()
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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)
()
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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)
()
|
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10:40
|
--- Coffee Break ---
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11:00
|
High Performance Computing
(until 12:50)
()
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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)
()
|
|
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08:40
|
--- Pre-Coffee ---
|
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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)
()
|
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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)
()
|
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10:10
|
--- Coffee Break ---
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10:30
|
Machine Learning in Medical Applications
(until 12:40)
()
|
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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)
()
|
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11:40
|
Machine Learning for Event-Level Background Rejection in LAFOV PET
-
Michał Obara
(NCBJ)
()
|
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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)
()
|
|
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08:30
|
--- Pre-Coffee ---
|
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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)
()
|
|
|
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)
()
|
|
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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)
()
|
|
