We are pleased to welcome Adel Memariani as a new doctoral candidate in our Data Science group.
Adel's research focuses on the robustness of knowledge graph embedding methods and investigates how these models deal with noise and uncertainty in real-world data. His work contributes to improving the reliability of knowledge graph embedding - a crucial step in advancing AI-driven reasoning.
Besides his work at the institute, Adel is passionate about reading and composing poetry and painting.
A warm welcome!
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