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Jean-Maximilien CADIC

VIT ENTRE PARIS ET TOKYO

En résumé

My research topic deals with the ability for an autonomous system to learn by observation a set of social rules with stochastic approach and hybrid architecture. From surveys, publications and readings in HRI and Anthropology I have identified several points of interest which match to enhance social capabilities for autonoumous systems. The proposed approach follows a preliminary study in anthropology dealing with the notion of social representation.

Publications:
• Imaginary and Artificial Intelligence through a transversal approach, J-M. Cadic, Hybridations anthropotechniques N°131 de Sociétés, De Boeck
• The universality of motherese prosodic characteristics, C. St Georges, M. Chetouani, J-M. Cadic, E. Parlato, S. Viaux, L. Ouss, R. feldman, F. Muratori, D. Cohen
• Towards an affordable mobile analysis platform for pathological walking assessment, V. Bonnet, C. Azevedo Coste, L. Lapierre, J-M Cadic, P. Fraisse, R. Zapata, C. Geny

Website:
•Array

Mes compétences :
Communication
Programmation
SQL
Visual Basic for Applications
Scheme
Robotics
Python Programming
Oracle PL/SQL
OpenGL
Microsoft Windows
Microsoft C-SHARP
Matlab
Lisp
Linux
Java
C++
C Programming Language
Ada
Sociology

Entreprises

  • Nine Heads Dragon Works Corp. - Ai RESEARCH ENGINEER

    2016 - maintenant • DL (Tensorflow): Image recognition with Tensorflow over low featured data.
    • AR (Unity): Developement of Augmented Reality applications using ROS, vSlam and Voice Recognition for GUI control.
    • NLG (Theano): Development of a Natural Processing Engine for automated story generation.
    • AWS (Ubuntu/Centos): Setup of server Linux and services.
  • Waseda University - RESEARCH ASSISTANT - DATA ANALYST

    2015 - maintenant • Matlab developer using NARX (nonlinear autoregressive with exogenous input) for causality detection.
    • Signal processing and causality quantification from CMS using Matlab Neural Nets toolbox.
    • Improvement of pre-processing methods for causality detection using KNN/FKNN.
  • Tokyo University of Agriculture and Technology / GVLAB - RESEARCH ASSISTANT - ROBOTICS AND AI

    2015 - 2016 • Software architect of a new hybrid architecture HREP-3 for multi-modal analysis of interaction in HRI.
    • Software development C# for head tracking with KinectV2 from Microsoft.
    • Android developer for an application of data visualization under Unity3D in C#.
    • Unity3D interactive game «Magic Trick» using Pepper from Aldebaran Robotics.
    • Modules developed: NLP (ALICE - Java), Vision (Anaconda -Python), Multi-threading for Client/Server (Python).
  • Institut des Systèmes Intelligents et de Robotique (Paris 6) - SOFTWARE DEVELOPER - DATA ANALYST

    2014 - 2014 • Developer C++ of OpenSmile for large-scale feature extractor from multimedia files.
    • SVM technique used for detection of social commitment with voice signal in the first universe age with 75 % accuracy.
    • Cluster of computers for data analysis.
  • LIRMM (Laboratoire d'Informatique, Robotique, Micro-électronique de Montpellier) - SOFTWARE DEVELOPER - ROBOT VISION

    2013 - 2013 • Developer C++ of tracking system with OpenCV on mobile robots.
    • Creation of detailed test plans and test cases.
    • Test and demonstration for EUROMOV (European Center for Research on Human Movement) inauguration.

Formations

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