Clément Duhart

De Vinci Research Center


Clément Duhart

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.

clement.duhart@devinci.fr

    Publications


    Articles de journaux

    Brian Mayton, Gershon Dublon, Spencer Russell, Evan F. Lynch, Don Derek Haddad, Vasant Ramasubramanian, Clement Duhart, Glorianna Davenport; Joseph A. Paradiso.

    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.

    BibTeX

    Clement Duhart, Pierre Sauvage; Cyrille Bertelle.

    A Resource Oriented Framework for Service Choreography over Wireless Sensor and Actor Networks. Article de journal

    In International Journal of Wireless Information Networks, 2016.

    BibTeX

    Clement Duhart; Cyrille Bertelle.

    Toward Organic Computing Approach for Cybernetic Responsive Environment. Article de journal

    In International Journal of Ambient Systems and Applications (IJASA)., 3 (4), 2015.

    BibTeX

    Clement Duhart, Michel Cotsaftis,; Cyrille Bertelle.

    Lightweight Distributed Adaptive Algorithm for Voting Procedures by Using Network Average Consensus. Article de journal

    2013.

    BibTeX

    Conférences

    Clement Duhart, Spencer Russell, Felix Michaud, Gershon Dublon, Brian Mayton, Glorianna Davenport, Joseph Paradiso

    Deep Learning for Environmental Sensing Toward Social Wildlife Database. 5500 - 5599 Conférence

    In 9th International Conference on Climate Informatics (CI), 2019., 2019.

    BibTeX

    Yliess Hati, Grégor Jouet, Francis Rousseaux; Clément Duhart

    PaintsTorch: a User-Guided Anime Line Art Colorization Tool with Double Generator Conditional Adversarial Network 5500 - 5599 Conférence

    16th ACM SIGGRAPH European Conference on Visual Media Production., 2019.

    BibTeX

    Clement Duhart, Gershon Dublon,Brian Mayton, Glorianna Davenport, Joseph A. Paradiso

    Deep Learning for Wildlife Conservation and Restoration Efforts. 5500 - 5599 Conférence

    2019.

    BibTeX

    Clement Duhart, Gershon Dublon,Brian Mayton, Glorianna Davenport, Joseph A. Paradiso, Thilina Surasinghe

    Decoding the Soundscape Using Deep Learning Models: A System to Support Long-Term Acoustic Monitoring of Wildlife Occupancy with Citizen Science Input. 5500 - 5599 Conférence

    2019.

    BibTeX

    Yliess Hati, Francis Rousseaux, Clement Duhart

    Deep Learning based Automatic Text-Driven Mouth Animation for Personal Assistant. 5500 - 5599 Conférence

    2019.

    BibTeX

    Clement Duhart, Brian Mayton, Gershon Dublon; Joseph A. Paradiso.

    Deep Learning Locally Trained Wildlife Sensing in Real Acoustic Wetland Environment. 5500 - 5599 Conférence

    2018.

    BibTeX

    Brian Mayton, Gershon Dublon, Spencer Russell, Evan F. Lynch, Don Derek Haddad, Vasant Ramasubramanian, Clement Duhart, Glorianna Davenport; Joseph A. Paradiso.

    A Ubiquitous Sensing Model for Environmental Science, Interaction Research, and Public Engagement with Restored Wetlands. 5500 - 5599 Conférence

    2017.

    BibTeX

    Clement Duhart, Michel Cotsaftis,; Cyrille Bertelle.

    Wireless Sensor Network Cloud services : Towards a partial delegation. 5500 - 5599 Conférence

    2014.

    BibTeX

    Clement Duhart; Cyrille Bertelle.

    Methodology for Artificial Neural controllers on Wireless Sensor Network. 5500 - 5599 Conférence

    2014.

    BibTeX

    Thèses

    C.Duhart

    Toward Organic Ambient Intelligence ? EMMA Thèse de doctorat

    2016.

    BibTeX




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