Associate Professor

BARANGE Mukesh

Contact

Email :
Phone number : +33 (0)7 88 21 36 63

CESI, 93 bd de la Seine
92 000 Nanterre

Research team

Engineering and Numerical Tools

Research themes

  • Virtual reality / augmented reality and Digital Twins
  • Virtual Agents, Verbal/Non-verbal Behaviors
  • Human-Machine Interactions

Educational activities

  • Disciplines : Computer science and engineering, research training
  • Level : Engineers 3rd, 4th and 5th year, master, Bachelor 1st year

Background

  • Doctorate in Human-Computer Interaction
    University of Western Brittany , 2015
  • Master of science and Master Research
    IMT Atlantique Bretagne, 2010
  • Bachelor of Engineering
    Associate Member of the Institution of Electronics and Telecommunication Engineers (AMIETE), 2005

Current research programs

Project Manager of NEXUS 2023 -2026

Thesis supervision

Tristan LANNUZEL, Collective intelligence in an immersive virtual environment (2023-2026)

Selected publications

International Journals with Peer Review:

  • Usman Malik, Mukesh Barange, Julien Saunier, Alexandre Pauchet (2021). A novel focus encoding scheme for addressee detection in multiparty interaction using machine learning algorithms. Journal on Multimodal User Interfaces 15 (2), 175-188 DOI: https://doi.org/10.1007/s12193-020-00361-9

International Conferences with Peer Review:

 

  • Buche, M. Neau, T. Ung, L. Li, T. Jiang, M. Barange and M. Bouabdelli. RoboBreizh, RoboCup@Home SSPL Champion 2022, RoboCup Symposium. (2022).

 

  • Mukesh Barange, Sandratra Rasendrasoa, Maël Bouabdelli, Julien Saunier, and Alexandre Pauchet. (2022, Sept). Impact of adaptive multimodal empathic behavior on the user interaction. In Proceedings of the 22nd ACM International Conference on Intelligent Virtual Agents (IVA ’22). Association for Computing Machinery, Article 11, 1–8, Rank B, (nominé pour le prix du meilleur article) DOI : https://doi.org/10.1145/3514197.3549675
  • Reshmashree B Kantharaju, Caroline Langlet, Mukesh Barange, Chloé Clavel, Catherine Pelachaud (2020). Multimodal Analysis of Cohesion in Multi-party Interactions. LREC, 2020, Marseille, France.

 

  • Usman Malik, Mukesh Barange, Naser Ghannad, Julien Saunier, and Alexandre Pauchet. (2019, July). A generic machine learning based approach for addressee detection in multiparty interaction. In Proceedings of the 19th ACM International Conference on Intelligent Virtual Agents (pp. 119-126). DOI : https://doi.org/10.1145/3308532.3329462

 

  • Usman Malik, Mukesh Barange, Julien Saunier, and Alexandre Pauchet (2019, February). Using Multimodal Information to Enhance Addressee Detection in Multiparty Interaction. In ICAART (1) (pp. 267-274, DOI: 10.5220/0007574602670274

 

  • Usman Malik, Mukesh Barange, Julien Saunier, and Alexandre Pauchet. (2018, November). Performance comparison of machine learning models trained on manual vs ASR transcriptions for dialogue act annotation. In 2018 IEEE 30th international conference on tools with artificial intelligence (ICTAI) (pp. 1013-1017). IEEE. DOI: 10.1109/ICTAI.2018.00156