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hamedR96/README.md

Hamed Rahimi, PhD

Research Associate @ ISIR, Sorbonne University
📍 Paris, France

Latent Generative Modeling | Human-Robot Interaction | Responsible AI

👨🔬 About Me

I am a Research Associate at ISIR (Institute of Intelligent Systems and Robotics), Sorbonne Université, where I conduct cutting-edge research in machine learning as part of the ACIDE team. My work focuses on developing probabilistic deep learning architectures for human-centered AI applications, with particular emphasis on interpretable generative models and trustworthy human-robot collaboration frameworks.

🎓 Academic Background

  • PhD in Computer Science (Data Mining & Information Retrieval)
    Sorbonne Université | LIP6 | SCAI
    Doctoral Fellow at Sorbonne Center for Artificial Intelligence

  • M.Sc. (Honors) in Computer Science
    University of Lyon

🌍 Research Collaborations

I've had the privilege to collaborate with leading research groups at:
🔬 Orange Labs | 🦉 Cornell University | 🍁 McGill University | 🤖 Microsoft AI Research Amsterdam

🔍 Research Interests

  • Probabilistic deep learning & generative models
  • Human-AI collaboration frameworks
  • Interpretable machine learning
  • Multimodal representation learning
  • Ethical AI & algorithmic fairness
  • Cognitive robotics

📫 Let's Connect

Email Google Scholar LinkedIn

Open to research collaborations and interesting discussions at the intersection of AI theory and practical applications.

Pinned Loading

  1. User-VLM User-VLM Public

    Personalized Vision Language Models for Social Human-Robot Interactions

    JavaScript 2

  2. ANTM ANTM Public

    Aligned Neural Topic Model (ANTM) for Exploring Evolving Topics: a dynamic neural topic model that uses document embeddings (data2vec) to compute clusters of semantically similar documents at diffe…

    Jupyter Notebook 35 8

  3. CTC CTC Public

    Contextualised Topic Coherence Metrics: A new way to evaluate neural topic models.

    Python 6