Shenghui Wang is an assistant professor at the Human Media Interaction (HMI) group of the University of Twente. Her research interests include cognitive modeling, knowledge representation and reasoning, natural language semantics, text mining and interactive technologies. Her current research focuses on language technologies that can facilitate interactive communication between human and knowledge, with a special interest in making Cultural Heritage more inclusive and interactive. She is associated with the Hybrid Intelligence Centre and working on designing Hybrid Intelligence systems in general.
Before joining University of Twente, Shenghui was a Research Scientist at OCLC where she explored the potentials of NLP, Data Science and visualisation technologies to address problems in the library and other Cultural Heritage domains. She also worked at Vrije Universiteit Amsterdam and Wageningen University, exploring Semantic Web and NLP technologies to improve the semantic interoperability in the domains of Cultural Heritage and Agrifood research.
Shenghui earned a Ph.D in Computer Science from the University of Manchester (Manchester, UK), a Master in Computer Application Technology at the University of Science and Technology of China (Hefei, China), and a Bachelor in Computer Science in Anhui University (Hefei, China).
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