About Us
INMA’s History
The Mathematical Engineering department (INMA) gathers about 50 people and is part of the Institute of Information and Communication Technologies, Electronics and Applied Mathematics (ICTEAM).
This department is dedicated to promoting research in the field of mathematical engineering and namely numerical analysis, dynamical systems and automatic control,
large networks and data science, operations research and optimization, neuroscience and biomechanics.
Most of its members are involved in the engineering degrees in applied mathematics , Master in Data Sciences Engineering and Master in Data Science: Information Technology organized by the Louvain School of Engineering (Ecole Polytechnique de Louvain).
Next Seminar
Geometry of low-rank tensors
Date: December 16, 2025 at 14:00
Speaker: Simon Jacobsson (KU Leuven).
Abstract: Morally, a manifold is a set where notions from calculus are well-defined. For example, the set of n-by-n orthogonal matrices and the set of...
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Latest Publication
A Discussion About Violin Reduction: Geometric Analysis of Contour Lines...
Authors: Beghin, Philémon, Ceulemans, Anne-Emmanuelle, Glineur, François
Year: 2026
Abstract: Some early violins have been reduced during their history to fit imposed morphological standards, while more recent...
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Highlights
Highlights coming soon.
Algorithms and Optimization
Algorithms and Optimization form the theoretical foundation for intelligent decision-making and computational efficiency. This field explores the principles and application of algorithms and optimization methods to solve complex, constrained, real-world problems across science, engineering, and society.
Biomedical Engineering and Data Analysis
Biomedical Engineering and Data Analysis fuse engineering principles with biological and clinical insights to advance healthcare technologies and medical understanding. This interdisciplinary domain encompasses the design of medical devices, physiological modeling, and the development of computational methods for analyzing complex biomedical data.
Dynamical Systems and Control
Dynamical Systems, Control, and Optimization focus on the modeling, analysis, and control of systems that evolve over time ranging from autonomous robots and smart infrastructure to biological and socio-technical networks. By leveraging mathematical modeling and optimization, researchers design control strategies that ensure system stability, performance, and adaptability in uncertain and dynamic environments.
