Lecturer in Data Science and Artificial Intelligence
| E-Mail: | [email protected] |
About me
2020–2025: PhD in Mathematics and Computer Science, Data Science, Institute of Computer Science, Heidelberg University, Germany
2019: MSc in Web Science, The British University in Egypt, Cairo, Egypt
2014: BSc in Informatics & Computer Science, The British University in Egypt, Cairo, Egypt | Loughborough University, UK
2026-Current: Lecturer in Data Science and Artificial Intelligence, School of Arts, Information, and Media, SRH University of Applied Sciences
2020–2025: Research Associate, Scientific Databases and Visualization, Heidelberg Institute for Theoretical Studies (HITS gGmbH), Germany
2019: Assistant Lecturer, Software Engineering Department, The British University in Egypt, Cairo, Egypt
2015–2019: Teaching Assistant, Software Engineering Department, The British University in Egypt, Cairo, Egypt
I have contributed to these publications
Publikationen
- Mobasher, G. (2025). WeLT: Weighted Loss Trainer for Biomedical Joint Entity and Relation Extraction (Doctoral dissertation). Heidelberg University.
- Mobasher, G., Müller, W., Krebs, O., & Gertz, M. (2023, July). WeLT: Improving Biomedical Fine-tuned Pre-trained Language Models with Cost-sensitive Learning. In The 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks (pp. 427-438).
- Leaman, R., Islamaj, R., Adams, V., Alliheedi, M. A., Almeida, J. R., Antunes, R., ... & Lu, Z. (2023). Chemical identification and indexing in full-text articles: an overview of the NLM-Chem track at BioCreative VII. Database, 2023, baad005.
- Mobasher, G., Mertová, L., Ghosh, S., Krebs, O., Heinlein, B., & Müller, W. (2021). Combining dictionary-and rule-based approximate entity linking with tuned BioBERT. bioRxiv, 2021-11.
- Mobasher, G., Shawish, A., & Ibrahim, O. (2017). Educational Data Mining Rule based Recommender Systems. In CSEDU (1) (pp. 292-299).