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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. 

Publications

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2024

Supporting Student Decisions on Learning Recommendations: An LLM-Based Chatbot with Knowledge Graph Contextualization for Conversational Explainability and Mentoring

Book
2024

Teleconsultation to Improve Epilepsy Diagnosis and Therapy 

Lecture speech
2024

Video Interview: Forschungsgruppe ‚Digitale Praxis‘ entwickelt neue Wege der Gesundheitsversorgung

Conference paper
2024

Knowledge Graphs as Context Sources for LLM-Based Explanations of Learning Recommendations

Journal article
2024

SkillsLab+ - A new way to Teach Practical Medical Skills in an Augmented Reality Application with Haptic Feedback

Conference paper
2024

KIRETT: Smart Integration of Vital Signs Data for Intelligent Decision Support in Rescue Scenarios

Journal article
2023

Non-Invasive Wearable Devices for Monitoring Vital Signs in Patients with Type 2 Diabetes Mellitus: A Systematic Review

Conference paper
2023

Smart UX-design for Rescue Operations Wearable - A Knowledge Graph Informed Visualization Approach for Information Retrieval in Emergency Situations

Conference paper
2023

Digit-DM: A Sustainable Data Mining Modell for Continuous Digitization in Manufacturing

Conference paper
2023

Building Contextual Knowledge Graphs for Personalized Learning Recommendations Using Text Mining and Semantic Graph Completion

Book chapter
2023

Pedagogically-Informed Implementation of Reinforcement Learning on Knowledge Graphs for Context-Aware Learning Recommendations

Journal article
2023

Context based learning: a survey of contextual indicators for personalized and adaptive learning recommendations – a pedagogical and technical perspective