Publication
An agentic mediator that aligns driver needs, vehicle perception, safety rules, and explainable driving strategies.
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An agentic RAG framework that automates adverse-media screening for AML and KYC compliance.
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An evaluation of LLM agents for cleaning noisy maintenance logs used in predictive-maintenance pipelines.
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A framework distinguishing vehicle agency from autonomy and describing how both can co-develop for human-centered mobility.
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A major issue in driver identification is lack of enough data from the target group of drivers. In this work I use Triplet loss to train neural nets that learn to discriminate between small …
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This is one of my latest works in which I apply deep learning to problem of driver identification using GPS data collected from smartphone.
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