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 |
| Tools/Libraries | Python, PyTorch, and Tensorflow |
Experience
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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).
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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.
- Using Machine Learning models.
- Image Analysis.
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2020 Data Analyst Internship
INSAVALOR/PROVADEMS, Lyon, France - Data analysis, statistical modeling, and characterization of household waste.
Education
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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
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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
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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
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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
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2020 Master thesis in Machine Learning
- An introduction to machine learning, application to auto insurance claim prediction.
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2019 Master thesis in Optimization
- Expediting the transition from non-renewable energy to renewable energy via optimal control (H. Maurer, 2017).
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2018 Master thesis in Partial Differential Equation (PDE)
- Resolution of the wave equation in R^{n}.
Teachings
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2022-2023 Part-time Lecturer (Vacataire)
Université Grenoble Alpes, IUT2, Grenoble, France - Statistical Modeling
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2023-2024 Part-time Lecturer (Vacataire)
Université Grenoble Alpes, IUT1, Grenoble, France - Python Programming
- Introduction to Linux fundamentals, including shell navigation and Bash scripting.
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2024-2025 Temporary Teaching and Research Fellow (ATER) (French academic position equivalent to Teaching and Research Assistant)
Université Grenoble Alpes, Grenoble INP, Genie Industriel(GI), Grenoble, France - Algorithmic Programming in Python
- Linear Programming in Python
- Data 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, Pose Detection, Instance Segmentation. |
| Other | TeX, Pack Office, Access. |
Awards and Fundings
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2023 Winner-EmotiW2023
- Winner of Group Emotion Recognition in the Wild Challenge of International Conference on Multimodal Interaction (ICMI 2023).
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2020 EIFFEL 2020
- Recipient of a French Government Excellence Grant, MASTER-EIFFEL LAUREATS 2020 program, Campus-France.
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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
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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.