CV

General Information

Full Name Anderson AUGUSMA
Background Computer Science, Artificial Intelligence, Applied Mathematics
Research Interest and Expertise Multimodal Perception, Deep Learning, Computer Vision, Audio Modeling
Languages English, French, and Haitian Creole
Tools/Libraries Python, PyTorch, and Tensorflow

Experience

  • 2021 – Present
    PhD Researcher — Multimodal Perception; Group Emotion Recognition
    Computer-Lab (LIG), Grenoble, France
    • Conducted advanced research in multimodal perception for classroom activities, focusing on group emotion recognition.
    • Developed a novel approach for group-level emotion classification in-the-wild using synthetic video as data augmentation with a ViT-L backbone, improving prediction accuracy by 20%.
    • Published 2 peer-reviewed papers in top-tier conferences (ICMI, Interspeech).
  • 2021
    Data Science Internship
    Laboratory of Auscultation, Modeling and Experimentation of transport infrastructures (LAMES), Nantes, France
    • Prediction and evaluation of road pavement failure modes based on their degradation and their relationship with key performance indicators.
  • 2020
    Data Analyst Internship
    INSAVALOR/PROVADEMS, Lyon, France
    • Data analysis, statistical modeling, and characterization of household waste.

Education

  • 2021-Present
    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
    • Computer Science and Applied Mathematics
    • Multimodal Perception
    • Group Emotion Recognition in-the-wild
    • Statistical Modeling
    • Under supervision of Professor Dominique VAUFREYDAZ & Dr Frédérique LETUE
  • 2019-2021
    M.Sc. in Economtrics and Statistics, IT Security & Risk
    Université Claude Bernard Lyon1 (UCBL), Lyon, France
    • Econometrics and Statistics
    • Data Management
    • Data Science
    • Machine Learning, Deep Learning
    • IT Security and Risk
  • 2017-2019
    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 energy 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}.

Teachings

  • 2022
    Main teacher
    Université de Grenoble Alpes, IUT2, Grenoble, France
    • Statistical Modeling
  • 2023
    Teaching Assistant
    Université de Grenoble Alpes, IUT1, Grenoble, France
    • Python Programming
    • Introduction to Linux fundamentals, including shell navigation and Bash scripting.
  • 2024
    Teaching Assistant
    Grenoble INP, Genie Industriel(GI), Grenoble, France
    • Algorithmic Programming
    • Linear Programming
    • Data Engineering
    • Data Analytics for Industrial Engineering
    • Machine Learning (classification)
    • Optimization
    • Probability

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, 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 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.