Hamed Rahimi

Hamed Rahimi, PhD

Research Associate at ISIR, Sorbonne University
Paris, France

I am a research associate at Sorbonne University, where I am a member of the ACIDE team at Institute of Intelligent Systems and Robotics (ISIR) working on latent generative modeling and human-robot interactions.

Previously, I was a doctoral researcher in the BD team at LIP6 Computer Science Laboratory of Sorbonne University, and a doctoral fellow at the Sorbonne Center for Artificial Intelligence (SCAI), where I completed my doctorate in data mining and information retrieval. Alongside my PhD, I pursued a post-master's degree in Entrepreneurial Project Management at CELSA | Sorbonne , further broadening my managerial skills. I hold an M.Sc. degree (Honors) in Computer Science from the University of Lyon (UdL) and a B.Sc. degree in Control Systems from Shiraz University, Iran.

During my graduate studies, I also had the opportunity to collaborate with and conduct visiting research at prestigious institutions such as Orange Labs, Cornell University, McGill University, and Microsoft AI Research in Amsterdam, enriching my experience in both industry and academia through interdisciplinary research.

Please reach out via email if you want to know more about my work.

Research Interests

  • Latent Generative Modeling
  • Language Modeling
  • User Modeling
  • Topic Modeling

Literary Work

Beyond my academic work, I am also a literary translator. I have translated four books from English into Persian and published several critical articles in prestigious magazines in Iran.

Publications

User-VLM 360°

User-VLM 360°: Personalized Vision Language Models with User-aware Tuning for Social Human-Robot Interactions

Hamed Rahimi, A. Bahaj, M. Abrini, M. Khoramshahi, M. Ghogho, M. Chetouani

Under Review, 2025

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Demographic User Modeling for Social Robotics with Multimodal Pre-trained Models

Hamed Rahimi, Mouad Abrini, Mahdi Khoramshahi, Mohamed Chetouani

IEEE ICHMS, 2025

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User-VLM: LLM Contextualization with Multimodal Pre-trained User Models

Hamed Rahimi, Mahdi khoramshahi, Mouad Abrini, Mohamed CHETOUANI

ToM4AI Workshop, AAAI, 2025

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Contextualized Topic Coherence Metrics

Hamed Rahimi, David Mimno, Jacob Hoover, Hubert Naacke, Camelia Constantin, Bernd Amann

Findings of EACL, 2024

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ANTM: Aligned Neural Topic Models for Exploring Evolving Topics

Hamed Rahimi, Hubert Naacke, Camelia Constantin, Bernd Amann

Transactions on Large-Scale Data and Knowledge-Centered Systems, 2024

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ATEM: A Topic Evolution Model for the Detection of Emerging Topics in Scientific Archives

Hamed Rahimi, Hubert Naacke, Camelia Constantin, Bernd Amann

COMPLEX NETWORKS, 2023

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SMASH: a Semantic-enabled Multi-agent Approach for Self-adaptation of Human-centered IoT

Hamed Rahimi, Iago Felipe Trentin, Fano Ramparany, Olivier Boissier

PAAMS, 2021

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Q-SMASH: Q-Learning-based Self-Adaptation of Human-Centered Internet of Things

Hamed Rahimi, Iago Felipe Trentin, Fano Ramparany, Olivier Boissier

Web Intelligence, 2021

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