Event

Discover PC², SIAM and the new RAMAN microscope (LOS)

The program 09:30 | Welcome speech and coffee10:00 | Presentation of the platforms11:00 | Group visit of the platforms12:00 | Lunch and networking Pysico-Chemical Characterization (PC²)The PC² platform comprises a wide range of instruments, including: liquid and solid-state nuclear magnetic resonance spectrometers, X-ray diffractometers for single crystals and powders, instruments for analyzing textural properties (nitrogen physisorption, mercury porosimetry, etc.), instruments for analyzing chemical composition (combustion chemical analysis, ICP-OES, etc.), as well as various separation techniques (chromatography, centrifugation, etc.).), instruments for analyzing chemical composition (combustion chemical analysis, ICP-OES, etc.), and various separation techniques (chromatography, centrifugation, etc.). The combination of these techniques with the presence of two research logisticians and a technician dedicated to sample analysis, as well as highly qualified researchers for the development of advanced applications, reflects the strategic intent of this platform. Among these characterization techniques, solid-state NMR and X-ray diffraction are the most advanced and unique characterization tools.Synthesis, Irradiation and Analysis of Materials (SIAM)The SIAM platform specializes in the advanced synthesis and characterization of materials and nanomaterials. It actively contributes to fundamental research in (bio)materials science, particularly in terms of characterizing surfaces, interfaces and ion/material interactions, in collaboration with international university laboratories. SIAM's analytical capabilities enable it to study a wide range of samples from fields as diverse as materials science, life sciences and heritage science. One of SIAM's key assets is its recognized expertise in spectroscopy (XPS and ToF-SIMS), which can be coupled with nuclear analysis (Ion Beam Analysis or IBA). Thanks to state-of-the-art equipment, all support is provided by a highly qualified team in a dynamic of continuous development and innovation. As part of the University of Namur, SIAM is a privileged partner both for academic research projects and for the provision of services to industrial and institutional players.Lasers, Optics and Spectroscopies (LOS)The LOS platform is developing its expertise around optical methods for the study of materials. LOS recently acquired a Raman scattering microscope for the analysis of liquids, powders, solids and thin films, both organic and inorganic. This technique can be used to identify a sample's chemical composition and structure, as well as certain properties of the medium. Raman spectroscopy can be used to characterize polymers, nanomaterials, pharmacological compounds, geological materials, precious stones, heritage objects and food products, to name but a few. In imaging mode, this technique can map the distribution of a compound in a heterogeneous sample, as well as detect traces. Practical information Registration required before November 4, 2025. I want to register Find out more about UNamur's technology platforms Contact Research Administration | Business Developer - Joël Marinozzi : joel.marinozzi@unamur.be
See content
Event

Annual Research Day

The program 2:00 pm | Keynote lecture on the use of AI in research - Hugues BERSINI, Professor at the Université libre de Bruxelles: "Can science be just data driven?" 3:00 pm | Presentations by UNamur researchers3:00 pm | Catherine Guirkinger: Use of AI in an economic history project3:15 pm | Nicolas Roy (PI: Alexandre Mayer): AI at the service of innovation in photonics and optics: revealing the secrets of scrolls through the classification of animal species15:25 | Nemanja Antonic (PI: Elio Tuci): An in silico representation of C. elegans collective behaviour<15h35 | Nicolas Franco : The benefits and dangers of "predicting the future" with covid-like machine learning models 15h45 | Michel Ajzen : Managerial and human implications of AI in organizations <15h55 | Robin Ghyselinck (PI : Bruno Dumas) : Deep Learning for endoscopy: towards next generation computer-aided diagnosis4:05 pm | Auguste Debroise (PI : Guilhem Cassan) : LLMs to measure the importance of stereotypes within gender representations in Hollywood films16h15 | Gabriel Dias De Carvalho : Learning practices in physics using generative AI16h25 | Sébastien Dujardin (PI : Catherine Linard) : Where Geography meets AI: A case study on mapping online flood conversations16h35 | Jeremy Dodeigne : LLMs in SHS: revolutionary tools in a Wild West Territory? Reflections on costs, transparency and open science16h45 | Antoinette Rouvroy : Governing AI in Democracy17h00 | Keynote lecture on ethics and guidelines to consider when using AI in research projects and writing research articles - Bettina BERENDT, Professor at KU Leuven18h00 | Benoît Frenay and Michaël Lobet : Creation of an IA scientific committee at UNamur18:10 | DrinkA certificate of attendance, worth 0.5 cross-disciplinary doctoral training credits, will be issued on request. Contact: secretariat.adre@unamur.beThis event is free of charge, but registration is required. I want to register
See content