Anderson Augusma

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PhD Student in Multimodal Perception; Emotion Recognition in-the-wild.

Université Grenoble Alpes, France

I’m currently pursuing my PhD in computer science and applied mathematics, focusing on “multimodal perception”. I’m affiliated with the Laboratoire Informatique de Grenoble (LIG) and the Laboratoire Jean Kuntzman (LJK), Université Grenoble Alpes (UGA).

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) with collaboration of Université des Antilles (UA) and Université de Poitiers, France. 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.

In the future, I’d like to contribute to the advancement of research into multimodal perception systems for autonomous vehicles, particularly in environments shared with humans. I want to push the boundaries of perception technologies, in particular by integrating the ability to recognize and interpret human emotions through facial expressions and behavior. I believe that understanding and predicting the actions of pedestrians and other road users at this deeper level is essential for improving safety and interaction between autonomous vehicles and people.

Outside work, I enjoy hiking and playing music. I played trumpet in the Orchestre du Campus de Grenoble (OCG).

You will find in here my detailed CV and publications.