معرفی
Alhassan Abdelhalim is a Research Associate in the Distributed Operating Systems (DOS) Research Group at the Department of Informatics, University of Hamburg. He joined in December 2024 and is actively contributing to research in foundation models, machine learning optimization, and Edge AI. His work is aligned with real-world applications such as drone-based data collection in industrial environments through the InteGreatDrones project.
Education:
- Bachelor of Mathematics and Computer Science, University of Aswan, Egypt
- Master of Intelligent Adaptive Systems, University of Hamburg, Germany
His research interests center on Foundation Models, Machine Learning Optimization, Edge AI, and Pervasive AI, with a strong emphasis on explainability and application in humanities and industrial automation. During his Master’s, he worked in the Machine Learning Research Group focusing on Transformers and model interpretability.
The recent publications (2020–2025) demonstrate a trajectory from nature-inspired optimization in data mining to advanced NLP tasks using LLMs. His work now focuses on detecting conceptual abstraction and automating violence categorization in ancient texts, showing interdisciplinary reach into digital humanities and computational linguistics.
Scientific Contributions:
- Co-developed methods for detecting hypernymy in LLMs using attention analysis
- Proposed LLM-based pipeline for scalable violence analysis in historical literature
- Contributed to drone swarm middleware for industrial data capture
He has no listed advisees or teaching roles. His research is supported by institutional affiliations and aligns with UN Sustainable Development Goal 16 (Peace, Justice, and Strong Institutions). He collaborates with researchers such as Michaela Regneri and Sören Laue.
Laboratories & Teams: He is a member of the Distributed Operating Systems (DOS) Research Group led by Prof. Dr. Janick Edinger and contributes to interdisciplinary projects involving machine learning and autonomous systems.
