Dipendra Yadav

Dipendra Yadav is a scientific researcher and PhD student at the Institute of Data Science, University of Greifswald, Germany, working under Prof. Dr.-Ing Kristina Yordanova since January 2023. His research focuses on natural language processing with expertise in transfer learning, multilinguality, and domain adaptation for low-resource languages, alongside innovative work on symbolic reasoning for explainability in large language models.

Yadav holds an M.Sc. in Electrical Engineering from the University of Rostock (2020). Prior to his current role, he worked as a data science student assistant at Market Logic Software in Berlin and completed an NLP internship/Master's thesis at PlanetAI GmbH, where he continued as a software engineer.

His research spans critical NLP challenges including cross-lingual transfer for languages like Nepali and Hindi, domain adaptation in resource-constrained environments, and enhancing LLM explainability through symbolic reasoning integration. He also investigates AI safety dimensions such as dangerous capability evaluation and situational awareness in large language models.

Recent publications reveal strong trends in low-resource language processing through cross-lingual transfer techniques, domain-specific NLP applications (particularly in dementia research), and safety evaluations of large language models. His work consistently addresses real-world data challenges while advancing methodologies for underrepresented languages.

No scientific awards are currently documented. Yadav has not taken formal advising roles for students. His research operates within the Institute of Data Science's framework, which emphasizes interdisciplinary applications in healthcare and language technologies through collaborative projects like ARDUOUS.