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Citations since 2016
117 Research Items
Machine Learning, Big Data Analytics, Computational Intelligence, Cybernetics, Cybersecurity and Threat Intelligence, and Resilient Cyber-Physical Systems.
Missing data are inevitable in almost all industries and highly undesirable in machine learning, data mining, and information systems. There exist a number of reasons for this severe deficiency, including imperfect procedures of manual data entry, incorrect measurements, data collection problems, and equipment errors. This project focuses on the development of efficient algorithms for the treatment of missing data in order to improve decision-making.
This project aims to design data-driven and model-based diagnostic systems for condition monitoring and diagnosing faults and cyber-attacks in cyber-physical systems.