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.
Publications
Agile App-Entwicklung für Patient Empowerment mit Telemedizin
Agile App-Entwicklung für Patient Empowerment mit Telemedizin
Big data analytics in smart mobility: Modeling and analysis of the Aarhus smart city dataset
Big data analytics in smart mobility: Modeling and analysis of the Aarhus smart city dataset
Teacher, Student and Domain Based Educational Recommender System for Assessing Student's Preferences on Multiple Recommendation Sources
Teacher, Student and Domain Based Educational Recommender System for Assessing Student's Preferences on Multiple Recommendation Sources
Implementing connectivism by semantic technologies for self-directed learning
Implementing connectivism by semantic technologies for self-directed learning
Competence oriented multilingual adaptive language assessment and training system (COMALAT)
Competence oriented multilingual adaptive language assessment and training system (COMALAT)
WHAT TO LEARN NEXT: INCORPORATING STUDENT, TEACHER AND DOMAIN PREFERENCES FOR A COMPARATIVE EDUCATIONAL RECOMMENDER SYSTEM
WHAT TO LEARN NEXT: INCORPORATING STUDENT, TEACHER AND DOMAIN PREFERENCES FOR A COMPARATIVE EDUCATIONAL RECOMMENDER SYSTEM
A Graph-Based Sensor Fault Detection and Diagnosis for Demand-Controlled Ventilation Systems Extracted from a Semantic Ontology
A Graph-Based Sensor Fault Detection and Diagnosis for Demand-Controlled Ventilation Systems Extracted from a Semantic Ontology
Sentilyzer: Aspect-oriented sentiment analysis of product reviews
Sentilyzer: Aspect-oriented sentiment analysis of product reviews
Fault injection framework for fault diagnosis based on machine learning in heating and demand-controlled ventilation systems
Fault injection framework for fault diagnosis based on machine learning in heating and demand-controlled ventilation systems
Creating a Concept Importance Measure for Domain Knowledge in the Context of Learning
Creating a Concept Importance Measure for Domain Knowledge in the Context of Learning
Analysing adaptive learning platforms utilizing domain ontologies: Searching for analytical implications
Analysing adaptive learning platforms utilizing domain ontologies: Searching for analytical implications
Simulation of acoustic product properties in virtual environments based on artificial neural networks (ANN)
Simulation of acoustic product properties in virtual environments based on artificial neural networks (ANN)