Member
Stefan Rueger
Emeritus Professor
+44 (0)1908 653800
Stefan Rueger is a Professor of Knowledge Media at the Knowledge Media Institute of The Open University, a Honorary Professor (2009-2014) at the Department of Computer Science, University of Waikato, and used to be a Visiting Principal Research Fellow (2006-2009) at the Department of Computing, Imperial College London. He holds a diploma in Theoretical Physics (equiv to MSc) and received his PhD in the field of computing for his work on the theory of artificial neural networks. Between 1999 and 2004 he held a prestigious EPSRC Advanced Research Fellowhip at Imperial College London, where he carved out his academic career from PostDoc (1997) to Reader in Multimedia and Information Systems (2005). His research has evolved over the years from theory of artificial neural networks over data mining and knowledge management to applications in multimedia search engines. At the Knowledge Media Institute he is responsible for the Multimedia and Information Systems area; he chairs the UK Multimedia Knowledge Management research network and was Principal Investigator for The Open University in the European funded Pharos project (2007-2009) amongst other projects.
Projects
Human-Computer Collaborative Learning in Citizen Science
Technologies
News
08 Nov 2024
09 Sep 2024
15 Jul 2022
12 May 2022
13 Jul 2020
Publications
Colucci-Gyay, L., Hancock, J., Manches, A., Lakeman-Fraser, P., Newman, J., Islam, R., Sharma, N., Dodd, M., Ansine, J., Bowers, L., Rüger, S. and Siddharthan, A. (2025). To touch is to know’: haptic inquiry for primary school citizen science. International Journal of Science Education, Part B: Communication and Public Engagement, 15(3), pp. 360–376. https://oro.open.ac.uk/104267/.
Ao, S., Rüger, S. and Siddharthan, A. (2024). CSS: Contrastive Semantic Similarities for Uncertainty Quantification of LLMs. In: 40th Conference on Uncertainty in Artificial Intelligence (UAI 2024), 15-19 Jul 2024, Barcelona, Spain. https://oro.open.ac.uk/100908/.
Ansine, J., Dodd, M., Valentine, C., Rüger, S., Siddharthan, A. and Dadswell, D. (2023). iSpot & AI: Integrating FASTCAT-Cloud and PI@ntNET-API in the Cos4Cloud framework. In: Computers and Learning Research Group (CALRG) Conference 2023, 27-30 Jun 2023, Online. https://oro.open.ac.uk/100413/.
Sharma, N., Colucci-Gray, L., Lakeman-Fraser, P., Robinson, A., Newman, J., Van der Wal, R., Rüger, S. and Siddharthan, A. (2024). Image Recognition as a ‘Dialogic AI Partner’ within Biodiversity Citizen Science - an empirical investigation. Citizen Science: Theory and Practice, 9(1), https://oro.open.ac.uk/99851/.
Colucci-Gray, L., Hancock, J., Islam, R., Sharma, N., Manches, A., Bowers, L., Lakeman-Fraser, P., Mozier, S., Newman, J., Reuger, S. and Siddharthan, A. (2024). Seeing with hands and touching with eyes: recovering sensorial attention to nature in primary schools. In: First International Conference on Embodied Education, 15-17 May 2024, Danish School of Education (DPU), Tuborgvej 164, 2400 Copenhagen, Denmark. https://oro.open.ac.uk/97621/.
Hancock, J., Colucci-Gray, L., Siddharthan, A., Manches, A., Sharma, N., Islam, R., Bowers, L., Reuger, S., Lakeman-Fraser, P., Newman, J., Mozier, S. and Barry, R. (2023). “We felt the textures from nature and it gave us new ideas”: Investigating sustainability education through primary school children’s natural and digital haptic touch explorations. In: SERA Conference 2023, Wednesday 22 - Friday 24 Nov 2023, Queen Margaret University, Musselburgh, United Kingdom. https://oro.open.ac.uk/97619/.
Ao, S., Rueger, S. and Siddharthan, A. (2023). Two Sides of Miscalibration: Identifying Over and Under-Confidence Prediction for Network Calibration. In: Proceedings of the Thirty-Ninth Conference on Uncertainty in Artificial Intelligence, 31 Jul - 4 Aug 2023, Pittsburgh, PA, USA. https://oro.open.ac.uk/94356/.
Ao, S., Rüger, S. and Siddharthan, A. (2023). Empirical Optimal Risk to Quantify Model Trustworthiness for Failure Detection. In: 2023 IJCAI Joint Workshop on Artificial Intelligence Safety and Safe Reinforcement Learning, AISafety-SafeRL, 21-22 Aug 2023, Macau, China. https://oro.open.ac.uk/94378/.
Ao, S., Rüger, S. and Siddharthan, A. (2022). Confidence-Aware Calibration and Scoring Functions for Curriculum Learning. In: 2022 15th International Conference on Machine Vision., 18-20 Nov 2022, Rome, Italy. https://oro.open.ac.uk/87157/.
Lakeman Fraser, P., Colluci-Gray, L., Robinson, A., Sforzi, A., Staples-Rolf, R., Newman, J., Gill, R., Sharma, N., Rüger, S. and Siddharthan, A. (2023). X-Polli:Nation: Contributing towards sustainable development goals through school-based pollinator citizen science. Citizen Science: Theory and Practice, 8(1), https://oro.open.ac.uk/86427/.
Riechmann, M., Gardiner, R., Waddington, K., Rueger, R., Fol Leymarie, F. and Rueger, S. (2022). Motion vectors and deep neural networks for video camera traps. Ecological Informatics, 69 https://oro.open.ac.uk/83593/.
Huynh, T., He, Y., Willis, A. and Rüger, S. (2016). Adverse Drug Reaction Classification With Deep Neural Networks. In: Coling 2016, 13-15 Dec 2016, Osaka. https://oro.open.ac.uk/48109/.
Aparajeya, P., Petresin, V., Fol Leymarie, F. and Rueger, S. (2015). Movement description and gesture recognition for live media arts. In: European Conference on Visual Media Production (CVMP), 24-25 Nov 2015, London. https://oro.open.ac.uk/46746/.
Halvey, M., McParlane, P., Jose, J.M., van Rijsbergen, K., Rüger, S., Manmatha, R. and Kankanhalli, M. (2015). ICMR 2014: 4th ACM International Conference on Multimedia Retrieval. ACM SIGIR Forum, 49(1), pp. 10–15. https://oro.open.ac.uk/46671/.
Huynh, T., He, Y. and Rüger, S. (2015). Learning higher-level features with convolutional restricted Boltzmann machines for sentiment analysis. In: 37th European Conference on IR Research (ECIR 2015), 29 Mar - 2 Apr 2015, Vienna. https://oro.open.ac.uk/43265/.
Zhu, J., Song, D., Rüger, S., Eisenstadt, M. and Motta, E. (2006). The Open University at TREC 2006 Enterprise Track ExpertSearch Task. In: Fifteenth Text REtrieval Conference (TREC2006), 14-17 Nov 2006, Gaithersburg, Maryland USA. https://oro.open.ac.uk/36078/.
Zhu, J., Song, D. and Rüger, S. (2007). The Open University at TREC 2007 Enterprise Track. In: The Sixteenth Text REtrieval Conference (TREC2007), 06-09 Nov 2007, Gaithersburg, Maryland USA. https://oro.open.ac.uk/36076/.
Overell, S., Llorente, A., Liu, H., Hu, R., Rae, A., Zhu, J., Song, D. and Rüger, S. (2008). MMIS at ImageCLEF 2008: experiments combining different evidence sources. In: CLEF workshop, 17-19 Sep 2008, Aarhus, Denmark. https://oro.open.ac.uk/36073/.
Little, S., Ferguson, R. and Rüger, S. (2012). Finding and reusing learning materials with multimedia similarity search and social networks. Technology, Pedagogy and Education, 21(2), pp. 255–271. https://oro.open.ac.uk/33991/.
Rüger, S., Raghavan, V.V., King, I. and Huang, J.X. (2012). Editorial: Special issue on advances in web intelligence. Neurocomputing, 76(1), pp. 48–49. https://oro.open.ac.uk/29565/.
