The "Mathematics, Science, and Information and Communication Technologies" (MSTIC) Research Cluster
This cluster brings together laboratories conducting research in mathematics and in information and communication sciences and technologies (computer science, automation, signal processing). Its research ranges from fundamental studies to applied research.
Strategic Priorities
MathAlp: From Fundamentals to Applications
Enhancing the visibility and appeal of the mathematics community at the Université Grenoble Alpes.
Pursue an ambitious policy that integrates education (master's and doctoral programs) and high-level research.
Cyber-Physical Systems
A framework structured around three orthogonal sub-axes: the high-level properties to be ensured and/or verified, the major areas of application, and the fundamental or practical tools of computer science and mathematics that must be implemented or developed specifically for the design and implementation of cyber-physical systems.
Data Science
Study of models and methods (physical, mathematical, statistical, and computational, among others) used to extract information and knowledge from collected data.
Applications in the fields of the environment, the physical sciences, the life sciences, and the humanities and social sciences; monitoring (including epidemiology, etc.); the Internet; and communications networks.
Perceptions, Interactions, and Uses
Design and development of interaction systems that are useful, usable, and even enjoyable, that conform to the characteristics of human interaction, and that are adapted to the context and situation of the interaction.
Design and development of digital systems intended to operate in human environments.
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