Innovative Research Award
Mawloud Titah — Associate Professor of Industrial Engineering, University of Oran 2 Mohamed Ben Ahmed, Algeria
Mawloud Titah is an Associate Professor at the Institute of Maintenance and Industrial Safety, University of Oran 2 Mohamed Ben Ahmed, and a researcher at the LISIDD laboratory in Algeria. His research focuses on knowledge engineering, ontologies, knowledge graphs and semantic reasoning for explainable decision support, particularly in healthcare equipment maintenance and pharmaceutical logistics. [1]
Abstract
Mawloud Titah’s research addresses knowledge-driven decision support through ontology engineering, semantic technologies and knowledge graphs. His work applies OWL, SWRL, SQWRL and SPARQL to healthcare problems including medical-device maintenance, equipment criticality and pharmaceutical logistics. The research emphasizes transparent knowledge representation, semantic interoperability and explainable reasoning for operational healthcare decision-support systems. [1]
Keywords
Knowledge graphs; knowledge engineering; ontology engineering; OWL; SWRL; SQWRL; SPARQL; semantic reasoning; healthcare decision support; medical-device maintenance; pharmaceutical logistics; knowledge representation; explainable decision support; CommonKADS; semantic interoperability.
Introduction
Mawloud Titah’s academic work connects industrial engineering with knowledge-based information systems. His research trajectory includes tacit-knowledge externalization and CommonKADS before extending toward semantic models for healthcare. This progression places formal knowledge representation at the centre of decision-support development, using structured ontologies and rule-based inference to make domain knowledge explicit and computationally queryable. [2]
Research Profile
Mawloud Titah is an Associate Professor and researcher at the Institute of Maintenance and Industrial Safety, University of Oran 2 Mohamed Ben Ahmed, and is associated with the LISIDD laboratory. His stated research interests include ontology-driven knowledge modelling, semantic reasoning, knowledge graphs and explainable decision support for healthcare systems, particularly maintenance, medical-device risk and pharmaceutical logistics. [1] His technical research uses OWL and OWL 2 ontologies, SWRL rules, SQWRL and SPARQL queries, with tools including Protégé Editor and GraphDB. Earlier work addressed knowledge acquisition and the formalization of tacit manufacturing knowledge through the CommonKADS methodology, providing a foundation for later knowledge-based applications. [2]
Research Contributions
Mawloud Titah’s research develops explainable knowledge-graph and ontology-driven frameworks for healthcare decision support. His contributions address risk-aware medical-device maintenance, equipment criticality assessment, and pharmaceutical logistics. By integrating OWL ontologies, semantic rules, SPARQL and knowledge graphs, his work supports transparent prioritisation, knowledge sharing, traceability and interoperability, providing structured approaches for practical and explainable healthcare management and decision-making.[3][4][5]
Publications
Mawloud Titah’s publications span knowledge engineering, healthcare maintenance, semantic technologies and tacit-knowledge management. His recent studies examine explainable knowledge graphs for medical-device maintenance and ontology-driven hospital equipment management, while earlier work addresses tacit-knowledge reuse. Together, these publications demonstrate a progression from knowledge externalization and management toward semantic, ontology-based approaches for explainable healthcare decision support and knowledge-driven systems.[3] [4][5][6]
Research Impact
The reported research impact is concentrated in the application of semantic knowledge technologies to operational healthcare problems. The combination of ontology engineering, knowledge graphs and rule-based inference provides a framework for representing maintenance and logistics knowledge in a form that can be queried and inspected. Scopus records supplied for this profile list 10 documents, 30 citations and an h-index of 3. [1]
Award Suitability
Mawloud Titah’s research profile is closely aligned with database and knowledge-graph research through its emphasis on formal knowledge representation, semantic querying, interoperability and structured healthcare information. His work connects knowledge graphs and ontologies with practical decision-support applications, making the profile relevant to recognition focused on database science, semantic data technologies and knowledge-driven systems. [1]
Conclusion
Mawloud Titah’s research represents an interdisciplinary pathway from industrial knowledge management to ontology-based and knowledge-graph-driven healthcare decision support. His publications address semantic modelling, explainable reasoning, equipment maintenance and pharmaceutical logistics, while his technical work employs established semantic-web standards and tools. The profile therefore demonstrates sustained engagement with structured knowledge and database-related technologies. [3] [4]
External Links
References
- Elsevier. (n.d.). Scopus author details: Mawloud Titah, Author ID 57194528924. Scopus. https://www.scopus.com/authid/detail.uri?authorId=57194528924
- Titah, M., Aitouche, S., Mouss, M. D., & Soussa, A. (2017). Externalising and reusing tacit knowledge in manufacturing tasks. International Journal of Knowledge Management Studies, 8(3–4), 351–374. https://doi.org/10.1504/IJKMS.2017.087078
- Titah, M., & Bouchaala, M. A. (2026). An explainable knowledge graph framework for risk-aware maintenance of medical devices. Network Modeling Analysis in Health Informatics and Bioinformatics, 15, 179. https://doi.org/10.1007/s13721-026-00827-y
- Titah, M., & Bouchaala, M. A. (2024). An ontology-driven model for hospital equipment maintenance management: A case study. Journal of Quality in Maintenance Engineering, 30(2), 409–433. https://doi.org/10.1108/JQME-10-2023-0097
- Bouzidi, K. R., Titah, M., & Mekki, I. E. K. (2026). ODTIC-KG: A knowledge graph framework for proactive oncology drug inventory management in hospitals. International Journal of Medical Informatics, 106677. https://doi.org/10.1016/j.ijmedinf.2026.106677
- Titah, M., & Hachemi, K. (2024). Improvement of human performance in healthcare systems by taking into account physician behavior. Journal of Health Organization and Management, 38(6), 888–904. https://doi.org/10.1108/JHOM-01-2024-0029