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distributed data processing approaches to address issues of incomplete or redundant multimodal data, dynamic updates, and scalable semantic interoperability in large-scale DPP systems. Particular emphasis will
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, dynamic, and heterogeneous data integration problem, where challenges include missing or noisy data, redundancy across sources, dynamic updates, and the need for robust semantic alignment and
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language theory and semantic technologies, aiming to develop systematic techniques for handling protected data. The planned topic aims to develop methods that can be integrated within a digital twin
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with semantic technologies (e.g., OWL, RDF, SPARQL), knowledge graphs, and data transformation pipelines. Experience with — or strong interest in — applied AI research, particularly in combining