Guermal Mohammed

Introduction

am an AI researcher with a Ph.D. in computer vision and a broad, interdisciplinary understanding of artificial intelligence — spanning deep learning, vision-language models, multimodal learning, and foundation models (including LLMs). Throughout my academic and professional journey, I’ve tackled a wide range of challenges, from human activity recognition and behavior analysis to anomaly detection and emotion understanding in social interactions. My work has been published in top-tier conferences such as WACV, ACM Multimedia, and ICPR, and includes both academic research and industrial collaborations. Currently, as a postdoctoral researcher at the University of Luxembourg, I focus on pose estimation in videos for space applications, as well as unsupervised domain adaptation for object detection — with the goal of building robust AI systems that generalize across complex environments. I’m passionate about building real-world impact through applied research and looking to contribute to innovative AI projects, whether in R&D, applied machine learning, or multimodal/foundation model development.

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