-
Music creation, customization and control for games.
Cooperation with Bruno Feijó's ICAD/Vision Lab at PUC-Rio.
Funding though a
PV Fellowship.
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Deep learning techniques for music generation,
2016-2022.
See, e.g., recent Deep Learning Techniques for Music Generation book
companion mini Web site.
Recent funding has been through the Flow Machines
ERC (European Research Council)
of François Pachet, 2012-2017,
of which I have participated as a research consultant.
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Expert assistant agents based on viability, argumentation and decision for participatory management of socio-eco-systems (serious games),
2016-2022.
This project is an offspring of the 
project (see below).
It focuses on the design and the integration of local assistant agents, experts in viability analysis, decision, argumentation, negotiation, to help social actors/stakeholders/players
in participatory management of shared resources (socio-eco-systems).
See a recent description in
and a presentation
in the 
-
portal.
Recent funding was through:
the Program PICS (Projets Internationaux de Coopération Scientifique),
,
2017-2019
and
the Centre de Développement Technologique,
,
& 
,
2019.
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Internet of Things and stream intelligence,
2015-2019.
This project is about the design of Internet of Things architectures for data and knowledge management, based on knowledge processing, agent and multi-agent, adaptation and machine learning (deep learning) techniques.
Recent funding has been through the ESMOCYP (Efficient Semantic MOdels and Fault-tolerant Middleware for CYber-Physical Systems) Project
of 
PROBRAL international scientific cooperation program, 2016-2018.
-
FACOMA (Fiabilisation Adaptative d'applications COopératives Multi-Agents), 2008-2010.
The objective is to address fault-tolerance of distributed multi-agent cooperative applications.
We use both techniques of adaptive replication and of exception handling.
Main funding has been through the 
Sécurité et sûreté informatique
french research program.
-
HORIZON, 2009-2011.
The goal of this project is to conceive and test a new architecture for a post-IP environment.
This post-IP architecture is mainly based on virtual networking with a piloting system able to cope
with the constraints.
This architecture is intelligence-oriented using mechanisms coming from Multi-Agent systems.
The reason of this new architecture comes from the limits of the current Internet architecture
in a large number of environments like wireless networks, sensor networks or RFID networks.
Main funding has been through the 
Future Networks Program.
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CAMPUS, 2010-2011.
The contributions of this project are, in order of relevance, the development of a context-and-location
aware framework for ubiquitous learning and collaboration applications,
the definition of a meta-description for defining context
and the development of efficient testing strategies for such systems.
Main funding has been through the 
STIC-AmSud Program.
Note: Between 2010 and 2015, I have stopped most of my involvements in research projects because of my full time position as Director of CNRS Brasil (Bureau CNRS Brésil).
Deep Learning Techniques for Music Generation
Cycle of Seminars about AI, creativity and arts