Augusma Anderson

I am currently pursuing my PhD, focusing on “Multimodal perception and statistical modeling of pedagogical classroom events using a privacy-safe non-individual approach,” under the guidance of Dominique Vaufreydaz and Frédérique Letué. I am affiliated with the M-PSI team at LIG Laboratory and LJK/SVH Laboratory.

Driven by a passion for integrating AI with real-world scenarios involving human-machine interactions, robotics, autonomous vehicles, and beyond, I am committed to advancing knowledge in my field. My current research interests lie in multimodal perception, with a specific emphasis on group emotion recognition in dynamic environments while taking into account the privacy of individuals.

My academic journey began with a Bachelor’s degree in fundamental and applied mathematics, followed by a Master’s degree in the same field from 2017 to 2019 at Ecole Normale supérieure d’Haïti, Université d’Etat d’Haïti (UEH). I then pursued a Master’s degree in Econometrics and Statistics, focusing on Data Science,  IT Security and Risk, from 2019 to 2021 at Université Claude Bernard, Lyon, France.


  1. Augusma, A., Vaufreydaz, D., & Letué, F. (2023, October). Multimodal Group Emotion Recognition In-the-wild Using Privacy-Compliant Features. In Proceedings of the 25th International Conference on Multimodal Interaction (pp. 750-754).
  2. Augusma, A. (2022, October). Multimodal Perception and Statistical Modeling of Pedagogical Classroom Events Using a Privacy-safe Non-individual Approach. In 2022 10th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW) (pp. 1-5). IEEE.


  1. Winner-EmotiW2023: Winner of  Emotion Recognition in the Wild Challenge of International Conference on Multimodal Interaction (ICMI 2023).

  2. Eiffel 2020: Winner of the MASTER-EIFFEL LAUREATS 2020 program; Campus-France.

  3. Mathematics internship grand 2018: Awarded an internship grant for achieving a high distinction in the Mathematics degree program; ENS/UEH.

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