I’m an optimist researcher of the intelligence world wether in artificial systems, ecological environments or education. I’m actually leading an experimental academic innovation center in Paris, la Defense – De Vinci Innovation Center. I’m also affiliated research at the MIT Medialab and part of several program comittees for the ecological tracks in major international conferences of artificial intelligence such as NeurIPS, ICLR and IJCNN. In 2012, I received two M.Sc. degrees from the University of Pierre et Marie Curie Paris VI (nowadays Sorbonne University) in Artificial Intelligence and Decisions and a second one from ECE Paris Engineering School in Embedded Systems. In 2016, I got a Ph.D. degree in Computer Science in Le Havre University applied on Organic Ambient Intelligence. During this work, I develop a theorical and practical framework for the deployment of distributed artificial neural networks on energy constraint wireless actuator and sensor networks. This Environement Monitoring and Management Agents (EMMA) framework offers a new choregraphy paradigm for a fully distributed Internet of Things without Cloud. In 2017, I did my postdoc in the Responsive Environment Group at the Medialab of the Massachusetts Institute of Technology. I joined the team of the Tidmarsh project which develop technologies in order to study the ecological, bio-dynamic and climate evolutions of industrial scale cramberries farm restoration. My contribution is the developpment of a deeplearning based acoustic analyzer for detecting, identifying and geo-localizing in real-time the widlife activity on site from 25 microphones and 6 cameras. In 2019, I found and lead the De Vinci Innovation Center in Paris, La Defense which is the expertise center of the Pole Leonard de Vinci. Based on a Fab Lab, its Master and PhD programs offer a unique opportunity of exploring new academic methods based on radical learning, anti-disciplinarity and collective learning. Its leitmotiv "Demo or Die", coming from the MIT MediaLab, is supported by a permanent mix of sciences, technics and humanity in order to address the big challenges of our societies. My student are exploring various technologies from Computer Human Interaction, Collective Robotics, Deep Learning, Immersive Technologies and Soft and Active Matters.
Articles de journaux
The Networked Sensory Landscape : Capturing and Experiencing Ecological Change Across Scales. Article de journal
In Presence Teleoperators & Virtual Environments, 26 (2), p. 182-209, 2018.
A Resource Oriented Framework for Service Choreography over Wireless Sensor and Actor Networks. Article de journal
In International Journal of Wireless Information Networks, 2016.
Toward Organic Computing Approach for Cybernetic Responsive Environment. Article de journal
In International Journal of Ambient Systems and Applications (IJASA)., 3 (4), 2015.
Lightweight Distributed Adaptive Algorithm for Voting Procedures by Using Network Average Consensus. Article de journal
Deep Learning for Environmental Sensing Toward Social Wildlife Database. Conférence
In 9th International Conference on Climate Informatics (CI), 2019., 2019.
PaintsTorch: a User-Guided Anime Line Art Colorization Tool with Double Generator Conditional Adversarial Network Conférence
16th ACM SIGGRAPH European Conference on Visual Media Production., 2019.
Deep Learning for Wildlife Conservation and Restoration Efforts. Conférence
Decoding the Soundscape Using Deep Learning Models: A System to Support Long-Term Acoustic Monitoring of Wildlife Occupancy with Citizen Science Input. Conférence
Deep Learning based Automatic Text-Driven Mouth Animation for Personal Assistant. Conférence
Deep Learning Locally Trained Wildlife Sensing in Real Acoustic Wetland Environment. Conférence
A Ubiquitous Sensing Model for Environmental Science, Interaction Research, and Public Engagement with Restored Wetlands. Conférence
Wireless Sensor Network Cloud services : Towards a partial delegation. Conférence
Methodology for Artificial Neural controllers on Wireless Sensor Network. Conférence
Toward Organic Ambient Intelligence ? EMMA Thèse
No posts by this author.