Ming Tang

Dr. Ming Tang serves as a Researcher in the Knowledge-Based Systems Department at the Institute for Data Science, Faculty of Electrical Engineering and Computer Science, Leibniz University Hannover. His position falls under the scientific staff category within the university's organizational structure, focusing on advanced data science methodologies and knowledge representation systems.

His core research interests center on Artificial Intelligence with specialization in Knowledge-Based Systems and Data Science. This involves developing computational frameworks for structured knowledge acquisition, semantic reasoning, and intelligent decision support systems that integrate heterogeneous data sources. His work bridges theoretical AI principles with practical applications in complex data environments.

As part of the Knowledge-Based Systems research team, Dr. Tang contributes to the Institute for Data Science's mission of advancing cutting-edge methodologies in knowledge engineering and data analytics. His collaborative efforts support the department's focus on creating scalable solutions for real-world data challenges through formal knowledge representation techniques.