LIG - Grenoble Informatics Laboratory
Chaymae Acherki is a PhD student specializing in augmented reality at Areas.ai and the LIG - Grenoble Informatics Laboratory. Acherki has experience as an Augmented Reality Researcher at Dassault Systèmes, where work focused on developing an AR application for the medical field, and previously held positions in research and development in augmented reality at Pixee Medical and as an Augmented Reality Developer at LIG. Acherki's educational background includes an Engineer's degree in Mathematics and Computer Science from the National School of Computer Science and Applied Mathematics of Grenoble, a Master's degree in Computer Science from Linköping University, and training in innovation and entrepreneurship. Ongoing doctoral studies at Université Grenoble Alpes target extended reality, anticipated to conclude in November 2026.
This person is not in any teams
This person is not in any offices
LIG - Grenoble Informatics Laboratory
Grenoble Informatics Laboratory (LIG) is one of the largest laboratories in Computer Science in France. It is structured as a Joint Research Center (French Unité Mixte de Recherche - UMR) founded by the following institutions: CNRS, Grenoble Institute of Technology (Grenoble INP), Inria Grenoble Rhône-Alpes, Grenoble Alps University. 500 members of LIG (faculty, full-time researchers, PhD students, administrative and technical staff) are distributed over three sites in Grenoble and its suburbs: the Saint Martin d'Hères Campus, Minatec, and the Montbonnot Campus. The mission of LIG is to contribute to the development of fundamental aspects of Computer Science (models, languages, methodologies, algorithms) and address conceptual, technological, and societal challenges. Increasing diversity and dynamism of data, services, interaction devices, and use cases influence the evolution of software and systems so they need to guarantee the essential properties such as reliability, performance, autonomy, and adaptability. Addressing such challenges is the objective of 24 research teams organized into 5 focus areas: Data and Knowledge Processing at Large Scale, Distributed Systems, Parallel Computing, and Networks. Formal Methods, Models, and Languages, Interactive and Cognitive Systems, Software and Information System Engineering. LIG focuses on the fundamentals of Computer Science and experimental developments while taking into account new societal challenges.