Anderson Augusma

I am a researcher in multimodal perception, with a PhD in Computer Science and Applied Mathematics from Université Grenoble Alpes. I am affiliated with the Laboratoire Informatique de Grenoble (LIG), where my work focuses on perception in real-world, human-centered environments.

My research interests lie at the intersection of multimodal AI, affective computing, and privacy-preserving perception. In particular, I work on group emotion recognition in the wild, developing methods that enable intelligent systems to better understand human behavior and social dynamics while respecting individual privacy.

My academic background includes a Bachelor’s degree and a first Master’s degree in Fundamental and Applied Mathematics from École Normale Supérieure d’Haïti, Université d’État d’Haïti, completed in collaboration with Université des Antilles and Université de Poitiers, France. I later earned a second Master’s degree in Econometrics and Statistics at Université Claude Bernard Lyon 1, with a specialization in Data Science, IT Security, and Risk.

More broadly, I am motivated by the development of AI systems for real-world applications such as autonomous vehicles, robotics, and human-machine interaction. My long-term goal is to advance machine perception by integrating richer models of human emotions, behaviors, and interactions in dynamic environments.

Outside of research, I enjoy going to the gym, hiking, and playing music. I also played trumpet in the Orchestre du Campus de Grenoble (OCG).

You can find more details about my background, publications, and projects on this website.