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 – 13:30: Lunch / Register and Welcome / Posters
• 13:30 – 14:00: Opening [UMONS, ESUO, ESUO-SIG]
• 14:00 – 14:50 : Plenary Lecture (online): Alexandre Tkatchenko [General usage of AI/ML in chemistry and physics
• 14:50 – 15:35: Keynote Lecture 1 : Stefan Kowarik [ Machine Learning approaches in X-ray Surface Science]
• 15:35 – 16:20: Invited Talk 1 : Julia Kobus [Automating data reduction and  fitting in reflectivity]
• 16:20 – 16:40: Coffee break + posters
• 16:40 – 17:25: Keynote Lecture 2 (online) : Thomas Penfold [Machine Learning for spectroscopy analysis]
• 17:25 – 18:10: Invited Talk 2 :  Leonard Chavas, Dectris [Commercial solutions for big data]
• 18:10 – 19:00: Round table: [Datasets for AI, Perspectives] + Posters

Day 2 : Wednesday

• 09:15 – 10:00: Keynote Lecture 3:  Heiko Weber [Research data in experimental materials science]
• 10:00 – 10:30: Invited talk 3: Bridget Murphy [Possibilities with Digital data]
• 10:30 – 11:00: Coffee break
• 11:00 – 11:15: Talk 1: Thomas Hase [The new UK Physical Sciences Data Infrastructure project: Data in a digital world ]
• 11:15 – 12:00: Round table: [ Challenges in Data Management]
• 12:00 – 13:00: Lunch + posters
• 13:00 – 13:20: Talk 2: Cormac Mc Guinness [ A brief history of EU funded Trans-National Access programmes for users of advanced x-ray photon science facilities]
• 13:20 – 14:00: Invited talk 4: Marc Thiry [EU-funded and national programs for industry access to advanced research infrastructures (ARIs) – an overview. ]
• 14:00 – 14:20: Talk 3: Leonard Chavas [ DECTRIS History: How Industries Get Access to Research Facilities?]
• 14:20 – 14:50: Invited Talk 5: Rainer Lecher [Pilot project for AI in User Offices]
• 14:50 – 15:05: Talk 4: Thomas Hase [Accessing Central facilities: How might we secure funding nationally? ]
• 15:05 – 15: 40: Talk 5: Cormac Mc Guinness. [INFRA-DEV-05 Area 02 – Access and funding portals in future FP10 /Horizon-Europe – evolving strategy]
• 15:40 – 16:00: Talk 6: Noor Nawaz [NFFA-Europe: Your Gateway to Cutting-Edge Facilities for Industry and Academia]
• 16:00 – 16:30: Coffee break + posters
• 16:30 – 18:30: Round table: Challenges in Access to Research Facilities +posters
• 18:35: Photo

Day 3 : Thursday

• 9:00 – 9:45: Invited Talk 6: Vladimir Pimonov [Computer Vision in Nanoscience: Scarce and Noisy Microscopy Data Analysis Automation]
• 9:45 – 10:15:  Keynote Lecture 4: Uwe Sassenberg [Unlocking Innovation: The Unique Role of Specialized Service Companies]
• 10:15 – 11:00: Round table: [Benefits and challenges of open science for industry , Collaboration between ESUO and industry]
• 11:00 – 11:15: Coffee break
• 11:15 – 12:30: Round table: [2025-2029 ESUO: What is next ?]
• 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.