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Dr. Dipl.-Inform. Christian Weber

Christian Weber is a lecturer at the University of Siegen, where he heads the Medical Informatics and Graph-Based Systems (.MIGS) research group at the Faculty of Natural Sciences and Technology at the University of Siegen together with Prof. Kai Hahn. From 2022 to 2024, he was the acting professor for the chair of Medical Data Science at the University of Siegen. Since 2017 he has been affiliated with the Institute of Knowledge Based Systems and Knowledge Management, University of Siegen. He acquired his PhD from the Corvinus University Budapest in Hungary, as part of a Marie Skłodowska-Curie Actions Doctoral Network, where he laid new foundations for knowledge intense, individualized learning path recommendations for vocational educational training in medical and industrial applications. His master’s degree (Diplom) he received from the University of Siegen in applied computer science. For the master thesis he was awarded the prize of excellence by his county. He is co-organizer of the International Conference on Integrated Systems, Design and Technology and was part of the ANR evaluation panel “Interfaces: Mathematics, Numerical Sciences – Biology, Health” in 2024 and 2025 and the chair for Research Funding of the 24k member Marie Currie Alumni Association 2018 till 2022. His research focuses on knowledge modelling and especially knowledge graphs, recommender systems, data analysis and practical applications of AI in the fields of medicine and education.

His current funded research projects include: the smart living and ambient assisted living GAiST (SmartLivingNEXT), where the goal is measuring and analyzing vital data with cloud connected medical sensors for sustaining self-sufficient living in elderly care homes; in the project FACE, holder ECG measurements are collected and analyzed on the edge and within the cloud, training machine learning solutions alongside indicators to decide on a flexible reallocation of models and computation; the IGNITE individual learning project aims at semantically representing, extracting and enriching learning pathways in higher education for personalized learning recommendations; in the German-Canadian collaboration CARES, decentralized vital data measurement with sensor kits and AI-based analysis for remote regions is in focus. Furthermore, he coordinates a medical teleconsultation implementation project between the university hospital of Bonn and Klinikum Siegen. 

Büroadresse

AE-C 202
Ebene 2
Am Eichenhang 50
57076
Siegen

Appointments by request.

Büroadresse

Am Eichenhang 50
57076
Siegen

Publications

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Gábor Kismihók, Inês Gaspar, Joe Delaney, Mathias Schroijen, Mohammadreza Tavakoli, Abdolali Faraji, et al.

OSCAR Conceptual and Technical Framework for Researcher Well-being and Career Development Training and Mentoring

Hasan Abu-Rasheed, Christian Weber, Johannes Zenkert, Mareike Dornhöfer, Madjid Fathi

Transferrable Framework Based on Knowledge Graphs for Generating Explainable Results in Domain-Specific, Intelligent Information Retrieval

Insa Reichow, Katja Buntins, Benjamin Paaßen, Hasan Abu-Rasheed, Christian Weber, Mareike Dornhöfer

Recommendersysteme in der beruflichen Weiterbildung. Grundlagen, Herausforderungen und Handlungsempfehlungen. Ein Dossier im Rahmen des INVITE-Wettbewerbs

Johannes Zenkert, Christian Weber, Mareike Dornhöfer, Hasan Abu-Rasheed, Madjid Fathi

Knowledge Integration in Smart Factories

Enhancing Design-relevant Document Search and Visibility through Fusion of Multi-sourced Data in Knowledge Graphs

H. Abu Rasheed, C. Weber, J. Zenkert, P. Czerner, R. Krumm, M. Fathi

A Text Extraction-Based Smart Knowledge Graph Composition for Integrating Lessons Learned During the Microchip Design

P. Stich, R. Busch, M. Wahl, C. Weber, M. Fathi

Branch selection and data optimization for selecting machines for processes in semiconductor manufacturing using AI-based predictions

C. Upadhyay, H. Abu-Rasheed, C. Weber, M. Fathi

Explainable Job-Posting Recommendations Using Knowledge Graphs and Named Entity Recognition

H. Abu-Rasheed, C. Weber, J. Zenkert, R. Krumm, M. Fathi

Explainable graph-based search for lessons-learned documents in the semiconductor industry

C. Weber, A. Tripuramallu, P. Czerner, M. Fathi

Clustering Wafer Defect Patterns Within the Semiconductor Industry Based on Wafer Maps, Using an Agile Unsupervised Deep Learning Approach

P. Stich, M. Wahl, P. Czerner, C. Weber, M. Fathi

Yield prediction in semiconductor manufacturing using an AI-based cascading classification system

N.T. Mohammed Saeed, C. Weber, M. Fathi, K.-D. Kuhnert

An Efficient Alternative for Modeling Spatial Prepositions with RDF Helper Nodes Based on the Environment Perception of a Mobile Robot