Head of the Working Group Data Science and Big Data Analytics

My research interests in Data Science are in natural language processing and graph data mining.

Example research topics

• Analysis of scientific documents using transformer models
• Extreme Multi-label Text Classification
• Graph Representation Learning
• Graph Summarization

Topics for theses for Bachelor and Master can be found here.

More information about my teaching concept can be found here.

My main research interessts are

• Life Long Learning 
• Out of Distribution Detection
• Graph Representation Learning
• Automated Feedback for Scientific Writing

If you are interessted in a thesis related to one of these fields, I'm happy to receive your e-mail.

I'm interested in different machine learning topics such as:

• Flat Optimum / Sharpness Aware Minimization
• Machine Unlearning
• Graph Representation Learning
• Automated Feedback for Text

If you are interested in doing a project or thesis with me, look at the slides above and write me an email.

Passant's research lies in the area of natural language processing. Particularly using Transformer models and Arabic language.