Alhassan Abdelhalim

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Research Associate
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Research Profile
Since December 2024, Alhassan Abdelhalim joined the Distributed Operationg Systems (DOS) Research Group as a Research Associate. He obtained his Bachelor degree in Mathematics and Computer Science from the University of Aswan, Egypt and his masters degree in Intelligent Adaptive Systems from the University of Hamburg. During his masters he worked as a Student Assistant in the Machine Learning Research Group with a focus on Transformers and explainability.
His research interests include:
- Foundation Models
- Optimization in Machine Learning
- Edge AI
- Pervasive AI
Research Projects
InteGreatDrones
The rise in production of cost-efficient unmanned aerial vehicles ("UAVs" or "drones") opens up new possibilities for process optimizations in industrial settings. The InteGreatDrones project focuses on the use of drone swarms for data collection in dynamic inland terminals, addressing challenges of changing cargo types and stakeholder interactions. The project's goal is to employ autonomous drones to capture terminal activities, ensuring privacy through local data processing and selective sharing. A central middleware connects drones and existing systems, supporting terminal-specific applications like route optimization and predictive maintenance. This project seeks to provide real-time data for informed operational and strategic decisions.
Publications
2024
Detecting Conceptual Abstraction in LLMs
[Conference]
Michaela Regneri, Alhassan Abdelhalim, Sören Laue
The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation
2020
Implementation of nature-inspired optimization algorithms in some data mining tasks
[Journal]
AM Hemeida, Salem Alkhalaf, A Mady, EA Mahmoud, ME Hussein, Ayman M Baha Eldin
Ain Shams Engineering Journal