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I normally take Wednesday afternoons off.

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).

Check out these student assignments that I am happy to supervise.  


  • Computer Science

    • Semantics
    • Ontology
    • Models
    • Contexts
    • Evaluation
    • User
    • Domains
    • ontology matching



Shaping Relatable Robots: A Child-Centered Approach to Social PersonalizationIn HRI'24: Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction (pp. 127-129). Association for Computing Machinery. Malnatsky, E., Wang, S., Hindriks, K. & Ligthart, M.https://doi.org/10.1145/3610978.3638374
Co-attention-Based Pairwise Learning for Author Name DisambiguationIn Leveraging Generative Intelligence in Digital Libraries: Towards Human-Machine Collaboration - 25th International Conference on Asia-Pacific Digital Libraries, ICADL 2023, Proceedings (pp. 240-249). Springer. Wang, S., Li, Q. & Koopman, R.https://doi.org/10.1007/978-981-99-8088-8_21Personalizing Cultural Heritage Access in a Virtual Reality Exhibition: A User Study on Viewing Behavior and Content PreferencesIn UMAP 2023 - Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation and Personalization (pp. 379-387). Association for Computing Machinery. Javdani Rikhtehgar, D., Wang, S., Huitema, H., Alvares, J., Schlobach, S., Rieffe, C. & Heylen, D.https://doi.org/10.1145/3563359.3596666A review for comparative text mining: From data acquisition to practical applicationJournal of information science, 1-13 (E-pub ahead of print/First online). Wei, N., Zhao, S., Liu, J. & Wang, S.https://doi.org/10.1177/01655515231165228A GNN-based Architecture for Group Detection from spatio-temporal Trajectory DataIn Advances in Intelligent Data Analysis XXI: 21st International Symposium on Intelligent Data Analysis, IDA 2023, Louvain-la-Neuve, Belgium, April 12–14, 2023, Proceedings (pp. 327-339). Nasri, M., Fang, Z., Baratchi, M., Englebienne, G., Wang, S., Koutamanis, A. & Rieffe, C.https://doi.org/10.1007/978-3-031-30047-9_26Investigating Aha Moment Through Process MiningIn Proceedings of the 25th International Conference on Enterprise Information Systems (pp. 164-172). Chiang, W.-H., Ahmad, U., Wang, S. & Bukhsh, F. A.https://doi.org/10.5220/0011848800003467Ontology-Based Modeling of User-Environment Interaction in a Virtual Reality ExhibitionIn Proceedings 17th International Conference on Metadata and Semantics Research, MTSR 2023. University of Milano-Bicocca. Javdani Rikhtehgar, D., Wang, S., Schlobach, S. & Heylen, D. K. J.diVRsity: exploring diversity in VR. Javdani Rikhtehgar, D., Wang, S., Heylen, D. K. J. & Rieffe, C.Correlating Eye Gaze with Object to Enrich Cultural Heritage Knowledge GraphCEUR workshop proceedings, 3632. Wang, S., Kulyk, D., Rikhtehgar, D. J., Heylen, D. & Rieffe, C. J.
Visualisation Methods for Diachronic Semantic ShiftIn Proceedings of the Third Workshop on Scholarly Document Processing (pp. 89-94). Association for Computational Linguistics (ACL). Kazi, R., Amato, A., Wang, S. & Bucur, D.https://aclanthology.org/2022.sdp-1.10

Research profiles

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Courses academic year 2023/2024

Courses in the current academic year are added at the moment they are finalised in the Osiris system. Therefore it is possible that the list is not yet complete for the whole academic year.

Courses academic year 2022/2023


University of Twente

Citadel (building no. 09), room H237
Hallenweg 15
7522 NH Enschede

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