Institute of Complex Systems
A system is said “complex” when it is composed of many intertwined subsystems and for which it is difficult to establish simple rules explaining its behavior/evolution. The research Institute for Complex Systems defines its scope in this emerging field for which informatics, intelligent data analysis, massively distributed computing, mathematical modeling and systems engineering are the main supports.
iCoSys fosters technological innovation in the field of complex system for sustainable economic development and better education. By promoting the transfer of knowledge and technology from the academic field to the local and regional economy, the Institute intends to develop interdisciplinary approaches and build national and international cooperation.
Current research activities and achievements are in environmental applications, smart buildings, energy management, pathology detection, intelligent wireless networks, smart mobility or event detection in video surveillance. The institute specializes in areas such as massive information processing, cloud computing, machine learning, business intelligence and signal processing.
DISTRIBUTED COMPUTING Parallel and distributed programming, cloud and HPC.
APPLIED AI and MACHINE LEARNINGMachine learning, big data analysis, signal processing, algorithmics.
SUSTAINABLE ICT FOR SMART LIVINGWeb-Of-Things, energy efficient IT, sensor networks management.
SMART SOLUTIONS FOR INDUSTRY 4.0Industrial Big Data, smart automation, applied computing for industries.
Profs with broad competences in mathematical modelling, algorithmic, distributed computing, information systems, machine learning, big data.
In charge of technology transfer to enterprises, our engineering team offers the perfect bridge between research and real-life applications.
At the edge of research and innovation, this team contributes to technology breakthrough by bringing new ideas and insights on specific domains.
Workshop Data Science – 19 and 20th of October 2017.
Baptiste Wicht’s public PhD presentation on “Deep Learning Feature Extraction for Image Processing”, will take place at PER 21, G230, on the 13th of October at 16:00. It will be followed by an apero. You are all cordially invited.