Name:Jan Keim

Bio:

Jan Keim is a prominent researcher and lecturer at the Karlsruhe Institute of Technology (KIT), specifically within the Institute for Program Structures and Data Organization (IPD) and the KASTEL Institute for Information Security and Dependability. His research interests are centered around software engineering, focusing on areas such as requirements engineering, software architecture, and traceability link recovery.

Keim has contributed significantly to several research projects and has a strong publication record. Some of his notable works include studies on the trace link recovery for software architecture documentation, the automated classification approach for software engineering research, and the use of transfer learning for requirements classification. His publications often explore advanced techniques in software engineering, such as the application of machine learning and natural language processing to software requirements and architecture.

In addition to his research, Keim is actively involved in teaching. He has taught various courses at KIT, including “Natural Language Processing in Software Engineering,” “Practical Software Engineering” and “Programming 101.” These courses reflect his expertise in both the theoretical and practical aspects of software engineering.

Keim’s work is recognized and cited by many in the academic community, indicating his influence and the relevance of his research in the field of software engineering.

For more information, you can visit his Google Scholar profile and his profile page at KIT.

Country:Germany

Affiliation:Karlsruhe Institute of Technology (KIT)

Research interests:Software Architecture, Software Architecture Documentation, Natural Language Processing, Ontologies