CV
Professional Profile
| Full Name | Anderson AUGUSMA |
| Profile | Researcher in computer vision and multimodal AI with a PhD in Computer Science and Applied Mathematics. Experienced in developing deep learning models and training and inference pipelines for real-world visual and audiovisual understanding, with a focus on human behavior analysis and privacy-aware perception. |
| Career Interests | Seeking research scientist, research engineer, machine learning engineer, and postdoctoral opportunities in computer vision, multimodal AI, and perception. Interested in extending this expertise to robotics, robot learning, and human–robot interaction. |
Research and Engineering Experience
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2025–2026 AI Researcher — Temporary Teaching and Research Fellow (ATER)
Laboratoire d’Informatique de Grenoble (LIG), Université Grenoble Alpes, France - Developing multimodal learning methods for visual scene understanding and human behavior analysis in real-world videos.
- Integrating a language-model component into the VE-MD framework to connect visual and audiovisual representations with language-based interpretation.
- Implementing and experimenting with modality-specific adapters and model fine-tuning strategies.
- Developing modular PyTorch workflows for model training, evaluation, and inference, including multi-GPU training.
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2021–2025 PhD Researcher — Computer Vision and Multimodal Perception
Université Grenoble Alpes, LIG and Laboratoire Jean Kuntzmann (LJK), Grenoble, France - Developed visual and audiovisual deep learning models for group emotion recognition in unconstrained videos.
- Designed a Variational Encoder–Multi-Decoder (VE-MD) framework combining emotion classification, body pose estimation, and facial landmark detection through a shared latent representation.
- Investigated group-level representations for privacy-aware human behavior analysis without identity tracking.
- Built data preprocessing, model training, and evaluation pipelines for real-world video and audio data.
- Explored synthetic video data to supplement model training and evaluated its contribution to recognition performance.
- Deployed a group-level emotion recognition model in a smart classroom using group-level aggregation without identity tracking.
- Contributed to the winning solution of the EmotiW 2023 Group Emotion Recognition in the Wild Challenge.
- Published peer-reviewed research at ICMI 2023 and Interspeech 2024.
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2021 Data Science Intern
Laboratory of Auscultation, Modeling and Experimentation of Transport Infrastructures (LAMES), Nantes, France - Developed and evaluated machine learning models for road pavement failure prediction using degradation signals and performance indicators.
- Built data processing pipelines and performed image-based analysis to support model development and validation.
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2020 Data Analyst Intern
INSAVALOR / PROVADEMSE, Lyon, France - Analyzed household waste data using statistical modeling to characterize waste streams and support operational interpretation.
Selected Projects
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VE-MD — Structured Representations for Video Understanding
- Developed a multi-task learning framework connecting group emotion recognition with body pose and facial landmark estimation.
- Implemented model components and training, evaluation, and inference workflows in PyTorch.
- Released selected implementation modules and inference resources for research use.
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Audiovisual Group Emotion Recognition
- Developed models combining video and audio representations to classify group-level emotional expressions in real-world videos.
- Investigated attention-based multimodal fusion and synthetic video augmentation.
- Contributed to the winning entry in the EmotiW 2023 Group Emotion Recognition in the Wild Challenge.
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Language Models for Multimodal Video Understanding
- Investigating language-model integration with visual, audio, and structured representations within the VE-MD framework.
- Exploring modality-specific adapters and fine-tuning strategies for connecting perception features with language-based interpretation.
- Ongoing research on scene understanding and human behavior analysis.
Technical Skills
| Primary Programming Language | Python |
| Additional Programming Languages | R, SQL; foundational knowledge of C/C++ |
| Machine Learning Frameworks | PyTorch, TensorFlow/Keras, Scikit-learn |
| Computer Vision | Video classification, object detection, pose estimation, facial landmark estimation, instance segmentation |
| Multimodal and Audio Learning | Audiovisual modeling, audio feature extraction, cross-modal attention, multimodal fusion |
| Deep Learning Architectures | CNNs, Vision Transformers, temporal models, variational autoencoders, VAE/VQ-VAE |
| Vision–Language and Language Models | Pretrained model integration, modality adapters, fine-tuning, LoRA |
| Research Engineering | Data preprocessing, modular training pipelines, multi-GPU training, model evaluation, inference workflows |
| Development Tools | Linux/UNIX, Git, LaTeX |
| Spoken Languages | English, French, Haitian Creole |
Awards and Funding
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2023 EmotiW 2023 Challenge Winner
- Won the solution of the Group Emotion Recognition in the Wild Challenge at ICMI 2023.
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2020 Eiffel Excellence Scholarship
- Recipient of the French Government Eiffel Excellence Scholarship, administered by Campus France.
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2018 Mathematics Internship Grant
- Awarded an internship grant for academic performance in the Mathematics degree program at Université d’État d’Haïti.
Education
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2025 PhD in Applied Mathematics and Computer Science
Université Grenoble Alpes, LIG (M-PSI Team) and LJK (SVH Team), Grenoble, France - Research on multimodal perception, privacy-aware representations, and group emotion recognition in real-world videos.
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2021 MSc in Econometrics and Statistics
Université Claude Bernard Lyon 1, Lyon, France - Specialization in Data Science, IT Security, and Risk.
- Training in statistical modeling, data management, machine learning, and deep learning.
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2019 MSc in Fundamental and Applied Mathematics
Université d’État d’Haïti, École Normale Supérieure, in collaboration with Université de Poitiers, France - Focus on numerical analysis, scientific computing, and optimization.
- Research on optimal control applied to the transition from non-renewable to renewable energy.
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2013–2017 BSc in Fundamental and Applied Mathematics
Université d’État d’Haïti, École Normale Supérieure, Port-au-Prince, Haiti - Foundations in mathematical analysis, probability, and statistics.
Teaching Experience
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2025–2026 Temporary Teaching and Research Fellow (ATER)
ENSIMAG, Grenoble INP, Université Grenoble Alpes, Grenoble, France - Delivered teaching and practical sessions in Introduction to Artificial Intelligence, Python programming, machine learning, and image processing.
- Additional teaching in object-oriented programming, software and data engineering, optimization, and Linux/UNIX.
Research Interests
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Computer Vision and Multimodal Learning
- Visual and audiovisual understanding in real-world environments.
- Representation learning, temporal modeling, and cross-modal fusion.
- Vision–language models and multimodal scene interpretation.
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Human-Centered and Privacy-Aware AI
- Human behavior analysis, affective computing, and group-level perception.
- Learning from structured and aggregated representations while limiting reliance on identifying information.
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Future Research Directions
- Perception and representation learning for robotics.
- Robot learning and human–robot interaction.
- Transferring multimodal learning methods to interactive and autonomous systems.
Selected Talks and Conference Presentations
- Interspeech 2024 — Speaker and author, Voice Privacy Challenge Workshop, Kos, Greece, September 2024.
- ICMI 2023 / EmotiW — Speaker and author, International Conference on Multimodal Interaction, Paris, France, October 2023.
- Université de Lorraine — Invited speaker, IAEM PhD seminar, France, February 2023.
- ACII 2022 Doctoral Consortium — Speaker and author, International Conference on Affective Computing and Intelligent Interaction, Nara, Japan, October 2022.
Personal Interests and Community Involvement
- Music, hiking, and fitness.
- Previously a volunteer trumpet player with the Orchestre du Campus de Grenoble (OCG), France.