Nicolas Nadisic

Assistant professor and Researcher

Ghent University

Royal Institute for Cultural Heritage

About

I am an assistant professor and researcher, sharing my time between the GAIM lab at Ghent University (UGent) and the Royal Institute for Cultural Heritage (KIK-IRPA) in Brussels.

My current research focuses on developing machine learning methods to discover knowledge in datasets of images of artworks and other cultural objects.

Interests

Low-rank models
Nonnegative matrix factorization
Sparse optimization
Combinatorial optimization
Hyperspectral imaging
Blind source separation
Artificial intelligence for art investigation

Education

PhD in Applied Mathematics, 2022

Université de Mons, Belgium
Master in Computer Science, 2018

INSA Lyon, France

News

I will participate to the GdR IASIS workshop on L0-based minimization at the Institut Henri Poincaré (IHP), Paris, 16 September 2024. See my slides here.
Our paper A Deep Active Learning Framework for Crack Detection in Digital Images of Paintings has been accepted for SMAR 2024. The tool presented, DAL4ART, is online at https://dal4art.ugent.be.
Our paper Unfolding ADMM for Enhanced Subspace Clustering of Hyperspectral Images has been accepted for EUSIPCO 2024.

Contact

E-mail: nicolas.nadisic@ugent.be

See a map and details on how to find me.

At UGent:
Department of Telecommunications and Information Processing (TELIN), Ghent University, St.-Pietersnieuwstraat 41, 9000 Ghent, Belgium.

At KIK-IRPA:
Royal Institute for Cultural Heritage (KIK-IRPA), Jubelpark 1, 1000 Brussels, Belgium.