Institute of Complex Systems
Architecture and programming of large scale distributed systems, cloud and HPC.
Machine learning, deep learning, big data analysis, signal processing, algorithmics.
Web-Of-Things, Smart City, Smart Building, Sensor Networks Management.
Big Data for industries, simulation of systems, data services for quality assessment, predictive maintenance, anomaly detection.
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.
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.
How to use AI for fast and accurate building diagnosis? The NPR funding of the canton of Fribourg for the collaborative project DiagnoBat has been approved.
Useful results at the end of the world 🌎! Nice project of Benjamin Pasquier involving AI biometric face recognition to help healthcare in Nepal. Congratulations to Benjamin, a brilliant student from our University of Applied Science. Benjamin created a facial recognition web application to facilitate patient monitoring in a Nepalese hospital. At the end of his […]
Nice article from La Liberté about the start-up NEUR.ON, which is making its mark at the interface between law and artificial intelligence (AI)! In collaboration with the HEIA-FR, Neur.on has developed a software that allows automated translations in the legal and financial field. Several large law firms have already adopted it! “The tool is based […]
We are proudly releasing a couple of new Artificial Intelligence microservices! Students, collaborators and even profs are contributing to extending the list of microservices on our Kubernetes cluster. Check them out here: https://icosys.ch/icoservices. All microservices are accessible through REST API following the openapi v3 specification (OAS3). Flip-ML. The objective of this microservice is to […]
Prof. Rumley from iCoSys organised this year’s edition of the BENEFRI Summer School. No less than 39 persons joined in remote but beautiful Arolla for 3 intense days of talks, questions, discussions and hikes. More info here
Happy to share the news about the closing of this very interesting BIOSMART EU project aiming at discovering new ways to package our food with bio-sourced and bio-degradable films. Our institute iCoSys contributed to the digital tools used to predict economic and physical performances of packagings. Thanks to PICC for onboarding us to this project. Check […]
Prof. S. Rumley organised and chaired a Thematic Session on “Collaborative Machine Learning across IoT, Edge, Fog and Cloud devices for Improved Privacy and Resilience” at the Hipeac Computing Systems Week in Tampere, Finland #CSWSpring22. The program can be found here : https://www.hipeac.net/csw/2022/tampere/#/program/sessions/7974/
FL talk on Projet HESTIA: Hestia est une plateforme d’échange de données médicales sécurisée composé d’applications mobiles pouvant connecter différents capteurs afin de traiter les constantes médicales d’une personne à des fins de rééducation, de prévention ou de promotion de la santé et ce, dans son lieu de vie.
Finally a new edition of the iCoSys FL-seminar. We will have Jonathan Donzallaz telling us more about his latest results.
Position: In 2022, we will be hosting at iCoSys intership positions for companies active in AI and computer science. The location is either in our premises at iCoSys Fribourg (Switzerland) or in the premises of the company. Required levels of education: currently studying at the Master level or involved in a PhD curriculum. Typical durations are […]