CV

General Information

Full Name Anderson AUGUSMA
Background Computer Science, Artificial Intelligence, Applied Mathematics
Research Interests and Expertise Multimodal Perception, Affective Computing, Deep Learning, Computer Vision, Audio Modeling
Languages English, French, Haitian Creole
Programming / Tools Python, PyTorch, TensorFlow

Experience

  • 2021–2025
    PhD Researcher — Multimodal Perception & Group Emotion Recognition
    Laboratoire d’Informatique de Grenoble (LIG), Grenoble, France
    • Developed multimodal models for group emotion recognition in the wild using privacy-preserving, non-individual representations at the group level.
    • Designed a Variational Encoder–Multi-Decoder (VE-MD) multi-task framework with a shared latent space across emotion classification, body pose estimation, and facial landmark detection, improving robustness in real-world settings.
    • Deployed a group-level emotion recognition model in a smart classroom using privacy-by-design principles based on non-identifying features and group-level aggregation, without identity tracking.
    • Published peer-reviewed papers at ICMI 2023 and Interspeech 2024.
  • 2021
    Data Science Intern
    Laboratory of Auscultation, Modeling and Experimentation of Transport Infrastructures (LAMES), Nantes, France
    • Predicted and evaluated road pavement failure modes from degradation signals and KPI relationships using machine learning models.
    • Built data pipelines and performed image-based analysis to support model development and validation.
  • 2020
    Data Analyst Intern
    INSAVALOR / PROVADEMSE, Lyon, France
    • Performed data analysis and statistical modeling to characterize household waste streams and derive operational insights.

Education

  • 2025
    Ph.D. in Applied Mathematics and Computer Science
    Université Grenoble Alpes (UGA), Laboratoire d’Informatique de Grenoble (LIG, M-PSI Team) and Laboratoire Jean Kuntzmann (LJK, SVH Team), Grenoble, France
    • Multimodal Perception
    • Affective Computing
    • Group Emotion Recognition in the Wild
  • 2021
    M.Sc. in Econometrics and Statistics, IT Security & Risk
    Université Claude Bernard Lyon 1 (UCBL), Lyon, France
    • Econometrics and Statistics
    • Statistical Modeling
    • Data Management
    • Data Science
    • Machine Learning and Deep Learning
    • IT Security and Risk
  • 2019
    M.Sc. in Fundamental and Applied Mathematics
    Université d’État d’Haïti (UEH), École Normale Supérieure (ENS), in collaboration with Université de Poitiers, France
    • Fundamental and Applied Mathematics
    • Numerical Analysis
    • Scientific Computing
    • Optimization
  • 2013–2017
    B.Sc. in Fundamental and Applied Mathematics
    Université d’État d’Haïti (UEH), École Normale Supérieure (ENS), Port-au-Prince, Haiti
    • Fundamental and Applied Mathematics
    • Functional Analysis
    • Statistics and Probability
  • 2020
    Master’s Thesis in Machine Learning
    • Introduction to machine learning with application to auto insurance claim prediction.
  • 2019
    Master’s Thesis in Optimization
    • Expediting the transition from non-renewable to renewable energy through optimal control.
  • 2018
    Master’s Thesis in Partial Differential Equations
    • Solution of the wave equation in R^n.

Teaching Experience

  • 2025–2026
    Temporary Teaching and Research Fellow (ATER)
    ENSIMAG, Grenoble INP, Université Grenoble Alpes, Grenoble, France
    • Taught courses in Python programming, object-oriented programming, introduction to artificial intelligence, image processing, software engineering, data engineering, machine learning, optimization, and Linux/UNIX.

Skills

Languages English, French, Haitian Creole
Programming Languages Python, R, SQL, C, PHP, HTML
Machine Learning Frameworks PyTorch, TensorFlow/Keras, Scikit-learn
Environments & Tools Unix/Linux, Windows, Git
Deep Learning Convolutional Neural Networks (CNNs), Transformers, VAE/VQ-VAE, Object Detection, Pose Estimation, Instance Segmentation
Other LaTeX, Microsoft Office, Access

Awards and Funding

  • 2023
    EmotiW 2023 Challenge Winner
    • Winner of the Group Emotion Recognition in the Wild Challenge at the International Conference on Multimodal Interaction (ICMI 2023).
  • 2020
    Eiffel Excellence Scholarship
    • Recipient of the French Government Excellence Scholarship (Eiffel Program), awarded by Campus France.
  • 2018
    Mathematics Internship Grant
    • Awarded an internship grant for outstanding academic performance in the Mathematics degree program at Université d’État d’Haïti.

Research Interests

  • Multimodal Perception
    • Emotion Recognition in the Wild
    • Object and Person Detection
    • Instance Segmentation
    • Audio Source Separation
    • Perception for Autonomous Vehicles and Robots in Shared Environments

Hobbies and Community Involvement

  • Hobbies: Music, hiking, gym
  • Community Involvement: Volunteer trumpet player in the Orchestre du Campus de Grenoble (OCG), Grenoble, France

Conferences and Talks

  • INTERSPEECH 2024 — Speaker and author, Voice Privacy Challenge Workshop, Kos, Greece, September 2024
  • ICMI 2023 / EmotiW — Speaker and author, 25th International Conference on Multimodal Interaction, Paris, France, October 2023
  • PhD Seminar at Université de Lorraine — Invited speaker, IAEM seminar, France, February 2023
  • ACII 2022 Doctoral Consortium — Speaker and author, 10th International Conference on Affective Computing and Intelligent Interaction, Nara, Japan, October 2022
  • EIAH 2022 — Participant, Methods of Conducting Research on Computational Environments for Human Learning, Leysin, Switzerland, November 2022
  • ECML PKDD 2022 — Participant, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Grenoble, France, September 2022
  • JDS 2022 — Participant, Journées de la Statistique, Société Française de Statistique (SFdS), Lyon, France, June 2022