108th IUVSTA Workshop on “Machine learning in Nanoscience”

The ‘Machine Learning in Nanoscience’ workshop will be held at the University of Mons from 22 to 24 July 2025.

This event will bring together international researchers to discuss the applications of artificial intelligence in nanoscience and photonics, with guest lectures, round tables and poster sessions to encourage exchange and collaboration.

Themes include AI applied to nanotechnology, FAIR data management, and standards for spectroscopy.

Registration includes coffee breaks and lunch, with prices tailored to students, academics and industry.

Registration fee :

30€ UMONS students
65€ Non UMONS students
120€ Academics/researchers (University Members)
235€ Industry/Company/Business

*Members of ESUO and ESUO-SIG are eligible to receive a discount code for registration fees from the ESUO organization.

MAIN TOPICS OF THIS EVENT

• Machine Learning Applications in Photon Science
• Artificial Intelligence in Nanotechnology
• Data-Driven Approaches
• Collaborative Innovations
• Thematic Sessions on Materials, Characterization, and Theory
• Standards for Spectroscopy data for Machine Learning purposes
• FAIR data for industry
• FAIR principles for AI models

Program : 

Day 1 : Tuesday

• 12:00 – 14:00  Lunch / Register and Welcome
• 14:00 – 14:30 Opening [UMONS, ….]
• 14:30 – 15:15: Keynote Lecture 1 Stefan Kowarik  [ Machine Learning approaches in X-ray Surface Science]
• 15:15 – 15:00: Invited Talk 1 Julia Kobus [Automating  data reduction and  fitting in reflectivity]
• 16:00 – 16:20:Coffee break + posters
• 16:20 – 17:05: Keynote Lecture 2 (online) Thomas Penfold [Machine Learning for spectroscopy analysis]
• 17:05 – 17:50: Invited Talk 3 Leonard Chavas, Dectris [Commercial solutions for big data]
• 17:50 – 18:40: Round table: Bridget Murphy and Stephan Kowarik  [Datasets for AI]

Day 2 : Wednesday

• 09:15 – 10:00: Keynote Lecture 3 Bernd Hinrichsen (TBC) [Synchrotron X-ray powder diffraction and scattering measurements service)
• 10:00 – 10:45: Round table: Bridget Murphy and Bernd Hinrichsen (TBC) [Challenges in Data Management]
• 10:45 – 11:00: Coffee break
• 11:00 – 12:00: Round table: Marc Thiry (TBC) and Cormac Mc Guinness [Transnational access to large facilities/ Status of Access to large-scale facilities – for industry – for user – (TNA via NEPHEWS RIANA, REMADE4ARI and beyond)]
• 12:00 – 13:00: Lunch + posters
• 13:00 – 13:45: Invited Talk 4: Claudia Draxl (TBC) [Assessing Quality of Machine-Learning Models and Underlying Data]
• 13:45 – 15:30: Round table: Derek Logan, Leonard Chavas and Vanko Gyorgy (TBC). [Focus on Industrial users]
• 15:30 – 16:00: Invited Talk 5: Rainer Lecher [Pilot project for AI in User Offices]
• 16:00 – 16:30: Coffee break + posters
• 16:30 –  17:10: Invited Talk 6: Cormac Mc Guinness. [INFRA-DEV-05 Area 02 – Access and funding portals in future FP10 /Horizon-Europe – evolving strategy]
• 17:10 – 19:00: Round table: Thomas Hase and Ana Silva. [Focus on Scientific users]

Day 3 : Thursday

• 09:00 – 9:45: Keynote Lecture 3: Uwe Sassenberg [Unlocking Innovation: The Unique Role of Specialized Service Companies]
• 9:45 – 10:15: Invited Talk 7: Andy Gotz (TBC) [Open data in Europe]
• 10:15 – 11:00: Round table: Andy Gotz (TBC) and Bridget Murphy [Benefits and challenges of open science for industry]
• 11:00 – 11:15: Coffee break
• 11:15 – 12:30: Round table: Carla Bittencourt and Uwe Sassenberg  [Collaboration between ESUO and industry]
• 12:30 – 13:40: Closing/Lunch

We are aware of phishing emails targeting speakers of our symposia whose names appear on our webpages. If you are unsure if an email regarding registration has come from us, please contact one of the workshop organizers. Do not provide any credit card details or personal information.

The Workshop organizers will not be liable for any accident, theft, or damage to property, nor for any delays or modifications in the program due to unforeseen circumstances. 

 Participants and accompanying persons are advised to arrange personal travel, accommodation, and health insurance.