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Sotiris MANITSARIS - MINES ParisTech

Sotiris MANITSARIS


Fonction: Chercheur

Centre: CAOR - Centre de Robotique

Implantation: Paris

Email: [javascript protected email address]

Téléphone: 01.40.51.91.69

Bureau: V.026

Senior Research Engineer – Science and Technology Project Leader, Centre for Robotics, MINES ParisTech, PSL Université Paris


Dr. Sotiris Manitsaris is Senior Researcher and Science-Technology Project and Team Leader at the joint Centre for Robotics between MINES ParisTech (PSL Université Paris) and ARMINES. He holds a University Degree in Applied Mathematics from the Aristotle University of Thessaloniki (Greece), a double Master Degree in Local Development from the University of Blaise-Pascal (France) and the Engineering School of the University of Thessaly (Greece) and a PhD in Computer Science – Computer Vision for Gesture Recognition: Movement Analysis and Stochastic Modeling in Musical Interaction – from the University of Macedonia (Greece).

He did three postdoctoral researches. The first research was in the Biomedical Engineering and more precisely in the visual-speech recognition and synthesis based on vocal tract movements at the ESPCI ParisTech and the Pierre and Marie Curie University (France). The second research was in the Factory of the Future with the aim of a professional gesture recognition for Human-Robot Collaboration in the Industrial Chair between MINES ParisTech the automotive industry PSA Group. The third postdoctoral research experience was an excellence grant on movement-based interactive spaces and surfaces for the Creative and Cultural Industries, hosted by MINES ParisTech, IRCAM (France) and the University of Thessaly (Greece).

He has coordinated the development of the « Intangible Musical Instrument » within the « i-Treasures » FP7 project, which was also the starting point of EMBODME (SpinOff of MINES ParisTech). He is currently involved in a number of H2020 projects and he has strong collaboration with startups and industrial groups, such as PSA, FIAT, SAGEM and a number of Creative and Cultural Industries, such as Louis Vuitton Moët Hennessy. His research focuses on motion capturing, machine learning, motion pattern recognition and movement-based interaction with machines, connected objects and sensorimotor human learning.

He leads the Post-Master’s Degree AIMove – “Artificial Intelligence and Movement in Industries and Creation”,which is based on a consortium established by IDIAP, GOLD, CERTH and GAIIA. Moreover, he is the President of the GAIIA Association (Gesture & AI in Industry and Arts), which operates as a hub which brings together experts and the public-at-large in the field of Artificial Intelligence and human movement.


Education:

- PhD in Applied Informatics (Docteur en Sciences)

Thesis: “Computer Vision for Gesture Recognition: Gesture Stochastic Modelling in Musical Interaction”, Department of Applied Informatics, University of Macedonia (UOM), Thessaloniki, Greece

- Double Master in Engineering (Dipl. Ing. en Développement Local)

“Territorial Dynamics and Local Development”, Engineering School of University of Thessaly (UTH), Volos, Greece – Blaise Pascal University, Clermont-Ferrand, France

- Bachelor in Mathematics (Ptychion)

Specialization in Applied Mathematics, Department of Mathematics, Artistotle University of Thessaloniki (AUTH), Greece

 

 

Competencies: Machine Learning, Computer Vision, Wearables, Human-Robot Collaboration, Autonomous Vehicles, Gesture Recognition, NLP, Biomedical Engineering, H2020-FP7



Teaching: Director of the Post-Master’s Degree AIMove (AI & Movement in Industries & Creation).

AIMove is a professionnal Post-Master Programme on Human-Centred AI with a special focus on the industrial sectors of Autonomous Vehicles, Factory of the Future and Creative and Cultural Industries. It is delivered by MINES ParisTech and supported by IDIAP, CERTH, AUTH, IRCAM, etc.

 

 

Research and Development (2016-2018 only): 

H2020 - COLLABORATE, Co-production CeLL performing Human-Robot Collaborative AssEmbly, Factory of the Future

H2020 - MINGEI, Representation and Preservation of Heritage Crafts, Digital Transformation in the Context of the Fourth Industrial Revolution

CARNOT M.I.N.E.S. - SMART, Intelligent Workspaces in Fashion and Luxury Industries: Preserve the Expert Gesture, Facilitate Interaction With Machines

CARNOT M.I.N.E.S. - EmoSoniXSonic Branding for Fashion and Luxury Industries: Studying the Relationship between Audio Stimuli and Emotional Excitation

FP7 - i-Treasures, Intangible Treasures - Capturing the Intangible Cultural Heritage and Learning the Rare Know-How of Living Human Treasures

Contract with PSA Peugeot Citroën - Gestural interaction in automotive cockpits



Publications (short excerpt from 2016-2018 only):

  • Kosmas Dimitropoulos, Sotiris Manitsaris, Filareti Tsalakanidou, Bruce Denby, Lise Buchman, et al.. A Multimodal Approach for the Safeguarding and Transmission of Intangible Cultural Heritage: The Case of i- Treasures. IEEE Intelligent Systems, Institute of Electrical and Electronics Engineers, (2018)

  • Glushkova, Alina, and Sotiris Manitsaris. "Gesture recognition and sensorimotor learning-by-doing of motor skills in manual professions: A case study in the wheel-throwing art of pottery.Journal of Computer Assisted Learning (2018)
  • Manitsaris, S., Goussios, D. and Gushkova, A., 2017. Le numérique au service de la transmission du savoir-faire artisanal. Méthodes et outils numériques d’apprentissage du savoir gestuel. tic&société, 11(2-3), pp.303-341.
  • Volioti, C., Manitsaris, S., Hemery, E., Hadjidimitriou, S., Charisis, V., Hadjileontiadis, L., ... & Manitsaris, A. (2018). "A Natural User Interface for Gestural Expression and Emotional Elicitation to Access the Musical Intangible Cultural HeritageJournal on Computing and Cultural Heritage (JOCCH), 11(2), 10.
  • Alivizatou-Barakou, M., Kitsikidis, A., Tsalakanidou, F., Dimitropoulos, K., Giannis, C., Nikolopoulos, S., ...,Manitsaris, S., ... & Pillot-Loiseau, C. (2017). Intangible Cultural Heritage and New Technologies: Challenges and Opportunities for Cultural Preservation and Development. In Mixed Reality and Gamification for Cultural Heritage (pp. 129-158). Springer International Publishing
  • Coupeté, E., Moutarde, F., Manitsaris, S., & Hugues, O. (2016, April). Recognition of Technical Gestures for Human-Robot Collaboration in Factories. In The Ninth International Conference on Advances in Computer-Human Interactions.
  • Coupeté, E., Moutarde, F., & Manitsaris, S. (2016, July). A user-adaptive gesture recognition system applied to human-robot collaboration in factories. In Proceedings of the 3rd International Symposium on Movement and Computing (p. 12). ACM.
  • Coupeté, E., Moutarde, F., Manitsaris, S., & Hugues, O. (2016, April). Recognition of Technical Gestures for Human-Robot Collaboration in Factories. In The Ninth International Conference on Advances in Computer-Human Interactions (RO-MAN). IEEE.
  • Volioti, C., Manitsaris, S., Katsouli, E., & Manitsaris, A. (2016, July). x2Gesture: how machines could learn expressive gesture variations of expert musicians. In Proceeding of the 16th International Conference on New Interfaces for Musical Expression.
  • ...




 



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