Mostafa Razavi Ghods is a PhD candidate at the Institute of Data Science researching Multimodal Behavior Analysis. He investigates how diverse data modalities can be integrated to model and interpret complex human behaviors, particularly in the context of Human-Robot Interaction (HRI). His work leverages advanced AI techniques, including statistical pattern recognition, Retrieval-Augmented Generation (RAG), and the training and fine-tuning of Large Language Models (LLMs), to build adaptive and context-aware systems. He brings a strong academic foundation in machine learning and deep learning, along with professional experience in developing multimodal AI agents for real-world applications.

Email: s-maraza (@) uni-greifswald.de
University of Greifswald
Felix-Hausdorff-Straße 18
17489 Greifswald