M.Sc. Mansoureh Aghabeig
IT Support at the Institute of Geological Sciences with a background in Data Science, Artificial Intelligence, and scientific computing.
Department of Earth Sciences
Institute of Geological Sciences
Tectonics and Sedimentary Systems
Administrative Staff
IT Support and Scientific Computing
Institute of Geological Sciences
Tectonics and Sedimentary Systems
Malteserstr. 74-100
12249 Berlin
Germany
Malteserstr. 74-100
Room B.136
12249 Berlin
Mansoureh Aghabeig works as IT Support at the Institute of Geological Sciences at Freie Universität Berlin.
She has a background in Data Science, Artificial Intelligence, Computer Vision, and MLOps, with research and industry experience in machine learning, biomedical imaging, and scientific computing.
Her previous work includes research positions at TITUS Research GmbH, the German Center for Neurodegenerative Diseases (DZNE), Nicolaus Copernicus University, and Poznan University of Technology.
Her technical interests include scientific data processing, machine learning workflows, cloud-based AI systems, and research infrastructure support.
Mansoureh Aghabeig works as IT Support at the Institute of Geological Sciences at Freie Universität Berlin.
She has a background in Data Science, Artificial Intelligence, Computer Vision, and Scientific Computing, with research and industry experience in machine learning, biomedical imaging, and scalable AI systems.
Her previous work includes positions at TITUS Research GmbH, the German Center for Neurodegenerative Diseases (DZNE), Nicolaus Copernicus University, and Poznan University of Technology.
Her technical interests include scientific data processing, machine learning workflows, cloud-based AI systems, MLOps, and research infrastructure support.
Research Interests
- Artificial Intelligence and Machine Learning
- Computer Vision and Image Analysis
- Scientific Computing
- MLOps and AI Infrastructure
- Cloud-based AI Systems
- Biomedical Imaging
- Scientific Data Processing and Automation
Technical Expertise
- Python, PyTorch, TensorFlow, Scikit-learn
- Docker, Kubernetes, MLflow
- Computer Vision and Deep Learning
- Data Science and Statistical Analysis
- Scientific Workflow Automation
- Cloud Platforms: AWS, Azure, GCP
Journal Articles
Aghabeig, M., Jaszkiewicz, A. (2019). Experimental analysis of design elements of scalarizing function-based multiobjective evolutionary algorithms. Soft Computing, 23, 10769–10780.
ToVinh, M., et al., including Aghabeig, M. (2022). Mitochondrial Dysfunction Contributes to Impaired Cytokine Production of CD56bright Natural Killer Cells From Human Immunodeficiency Virus–Infected Individuals Under Effective Antiretroviral Therapy. The Journal of Infectious Diseases.
Conference Papers
Aghabeig, M., Damm, D. (2023). Dataset extraction and object detection in inland waterway based on the CEVNI regulation. Proceedings of ICARA 2023.
Aghabeig, M., et al. (2019). Perception of non-native phoneme contrasts in 8–13 months infants: tensor-based analysis of EEG signals. EUSIPCO 2019.
Other Scholarly Contributions
Komorowski, M., Aghabeig, M., et al. Multi-level explanations in neuroscience: EEG spectral fingerprints and tensor decompositions for understanding brain activity.