Yashrajsinh Chudasama

Yashrajsinh Chudasama is a research associate in the Scientific Data Management research group at TIB (Leibniz Information Centre for Science and Technology) and a doctoral student in computer science at Leibniz University Hannover.

His educational background includes:

• Master of Science in Mechatronics from Leibniz University Hannover
• Master of Science in Intelligent Systems from St. Petersburg Polytechnic University
• Bachelor of Science in Mechatronics from University of Gujarat, India

Chudasama's research focuses on artificial intelligence with specialization in knowledge graphs and autonomous systems. His current work centers on developing explainable causal models over cognitive knowledge graphs to enhance transparency in AI decision-making processes. This research bridges theoretical frameworks with practical applications in scientific data management.

He actively contributes to two major research initiatives: the Leibniz Association-funded TrustKG project focused on knowledge graph trustworthiness, and the German Federal Government-funded ImProVIT project aimed at improving visual information technologies through advanced AI techniques.

As a research associate at TIB, Chudasama participates in advancing scientific data infrastructure while pursuing his doctoral studies. His interdisciplinary background in mechatronics and intelligent systems informs his approach to complex problems at the intersection of computer science and engineering.