CV

General Information

Full Name Anderson AUGUSMA
Background Computer Science, Artificial Intelligence, Applied Mathematics
Research Interest and Expertise Multimodal Perception, Affective Computing, Deep Learning, Computer Vision, Audio Modeling
Languages English, French
Tools/Libraries Python, PyTorch, and 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-compliant, non-individual features (privacy-safe group-level representations).
    • Designed a Variational Encoder–Multi-Decoder (VE-MD) multi-task framework sharing a latent space across emotion classification, body-pose detection, and facial-landmark, improving robustness in real-world conditions.
    • Deployed a group-level emotion model in a smart classroom, ensuring privacy-by-design through non-identifying features and aggregation (no identity tracking)
    • Published two peer-reviewed papers — ICMI (2023), 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 / PROVADEMS, 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 Informatique de Grenoble (LIG, M-PSI Team) and Laboraboire Jean Kuntzmann (LJK, SVH Team),Grenoble, France
    • Multimodal Perception
    • Affective Computing
    • Group Emotion Recognition in-the-wild
  • 2021
    M.Sc. in Economtrics and Statistics, IT Security & Risk
    Université Claude Bernard Lyon1 (UCBL), Lyon, France
    • Econometrics and Statistics
    • Statistical Modeling
    • Data Management
    • Data Science
    • Machine Learning, Deep Learning
    • IT Security and Risk
  • 2019
    M.Sc. in Fundamendal and Applied Mathematics
    Université d'Etat d'Haïti (UEH), Ecole Normale Supérieure (ENS), In collaboration with Université de Poitiers (France)
    • Fundamental and Applied Mathematics
    • Numerical Analysis
    • Scientific Calculation
    • Optimization
  • 2013-2017
    B.Sc. in Fundamendal and Applied Mathematics
    Université d'Etat d'Haïti (UEH), Ecole Normale Supérieure (ENS), Port-au-Prince, Haïti
    • Fundamental and Applied Mathematics
    • Functional Analysis
    • Statistics and Probability
  • 2020
    Master thesis in Machine Learning
    • An introduction to machine learning, application to auto insurance claim prediction.
  • 2019
    Master thesis in Optimization
    • Expediting the transition from non-renewable to renewable energy via optimal control (H. Maurer, 2017).
  • 2018
    Master thesis in Partial Differential Equation (PDE)
    • Resolution of the wave equation in R^{n}.

Skills

Languages English, French, Haitian Creole
Programming Language Python, R/R-Studio, SQL, C, PHP, HTML
Machine Learning Framework PyTorch, Tensorflow/Keras, Scikit‑Learn
Environment System Unix/Linux (shell), Windows, Git
Deep Learning Convolutional Neural Networks(CNN), Transformer, VAE/VQ-VAE, Object Detection, Pose Detection, Instance Segmentation.
Other TeX, Pack Office, Access.

Awards and Fundings

  • 2023
    Winner-EmotiW2023
    • Winner of Group Emotion Recognition in the Wild Challenge of International Conference on Multimodal Interaction (ICMI 2023).
  • 2020
    EIFFEL 2020
    • Recipient of a French Government Excellence Grant, MASTER-EIFFEL LAUREATS 2020 program, Campus-France.
  • 2018
    Mathematics Internship Grand
    • Awarded an internship grant for achieving a high distinction in the Mathematics degree program, Université d'Etat d'Haiti.

Research Interests

  • Multimodal Perception
    • Emotion Recognition in-the-wild
    • Object/Person Detection
    • Instance Segmentation
    • Audio Source Separation
    • Perception for Autonomous Vehicles and Robots in shared environement

Hobbies and Community Involvement

  • Hobbies: Music, Hiking
  • Community Services: Volunteer as trumpet player in the Orchestre du Campus de Grenoble (OCG), 2023, Grenoble, France.

Conference and Talks

  • Attended as speaker and author in Voice Privacy Challenge at INTERSPEECH 2024 ,Sep 2024, Kos, Greece.
  • Attended as speaker and author in ICMI/EmotiW, 25th International Conference on Multimodal Interaction (ICMI), Oct 2023, Paris, France.
  • Presented a talk in PhD Seminar at Lorraine University, Invited as speaker for the PhD seminar at IAEM, Feb 2023, Lorraine University, France
  • Attended as speaker and author in ACII 2022, Doctoral Consortium (DC), 10TH INTERNATIONAL CONFERENCE ON AFFECTIVE COMPUTING & INTELLIGENT INTERACTION,Oct 2022, Nara, Japan.
  • Attended as participant in EIAH 2022, Methods of conducting research on computational environments for human learning, Nov 2022, Leysin,Switzerland.
  • Attended as a participant in ECML PKDD 2022, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases(ECML PKDD), Sep 2022, Grenoble, France.
  • Attended as participant in JDS 2022, Journée de la statistique, Société Française de la Statistique (SFdS), Jun 2022, Lyon, France.