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Welcome in the LCOMS publications collection

The LCOMS is a multidisciplinary laboratory of the University of Lorraine since January 1st, 2013. It covers competences in Computer Science, Automation, Electronics and Neuroscience. Its researchers develop multidisciplinary and interdisciplinary research and work on original problems covering the optimisation of complex systems, personal assistance and communication, the design of embedded electronic systems, interfaces and health systems. The laboratory has about 52 permanent staff (13 PR, 8 MCF HDR, 27 MCF (or assimilated), 2 Engineers and 2 BIATSS) and occupies its premises in different buildings of the University of Lorraine (mainly in the Technopôle of Metz), with the creation of a branch in Saint-Dié. It has been home to two ZRR zones since June 2021. The LCOMS teacher-researchers belong to various training components of the University of Lorraine: the UFR MIM, the UFR ScIFA, the ESPE, the IUT of Metz, the ENIM and the IUT of Saint-Dié.

The LCOMS is organised into three thematic areas:

  • DOP, Decision and OPtimisation. The methodological research of this axis covers operational research, polynomial approximation of NP-hard problems, mathematical programming, data analysis/visualization and decision support. The DOP axis is also interested in underlying applications such as scheduling, lot sizing, placement, transportation, as well as health systems and the industry of the future.
  • CARESS, Sensors, Electronic Architecture and System Safety. This axis covers activities in embedded electronics and intelligent sensors, optimisation and architectural design, sensor placement, electronic nose, high performance computing on heterogeneous FPGA/CPU structures, embedded optimisation. He is also interested in risk models, data collection, sensor network optimisation, scheduling of preventive/active maintenance and diagnostic tasks.
  • ENOSIS, Neurobiological Evaluations of Interaction and Personal Aids. This axis works on different issues such as the analysis of Human-Computer Interaction (HCI) modalities, as well as the design and evaluation of these modalities, interfaces, and visualisation. In addition, ENOSIS studies human-machine systems (personal assistance systems, intelligent instrumentation for personal assistance systems, home automation). It is also interested in the measurement of emotional state (analysis of influence mechanisms, emotion/motor or cognitive performance), data acquisition and signal processing. He is also developing research in Neurotoxicology (risks of the environment, particularly food, at the neurological level: neurological and neurobiological toxicity).

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