Published multiple scientific papers such as 'SOFLIM2KG-SEMIIM 2024 Joint Proceedings SOFLIM2KG and SEMIIM 2024', 'Implementation of Zero Defect Manufacturing using quality prediction: a spot welding case study from Bosch', 'Knowledge graph embedding closed under composition' etc.
Research Experience
Associate Professor; Faculty of Technology, Art and Design, Department of Computer Science, OsloMet; Member of the Innovation, Digital Transformation and Sustainability research group; Involved in the Applied Artificial Intelligence research group and the Technology and Innovation in Organisation and Society (TIOS) research group.
Background
Research interests include Neuro-Symbolic AI, application of Generative AI (such as large language models) for cross-disciplinary research, information modeling with semantics for industrial assets, semantics-enhanced machine learning for better usability, transparency, and automation, and knowledge graph embedding. He has close collaboration with academic as well as industrial partners for both foundational research in neural knowledge representation and applied research in process and manufacturing industries.