
Prof Stefan Rueger
Professor of Knowledge Media
Stefan Rüger is a Professor of Knowledge Media at the Knowledge Media Institute of The Open University, a Honorary Professor (2009-2021) 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 degree 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
Publications
Ao, Shuang , Rüger, Stefan and Siddharthan, Advaith(2023). Empirical Optimal Risk to Quantify Model Trustworthiness for Failure Detection. In: CEUR Workshop Proceedings, CEUR-WS, 3505.
Ao, Shuang , Rüger, Stefan and Siddharthan, Advaith(2022). Confidence-Aware Calibration and Scoring Functions for Curriculum Learning. In: 2022 15th International Conference on Machine Vision., 18-20 Nov 2022, Rome, Italy.
Lakeman Fraser, Poppy, Colluci-Gray, Laura, Robinson, Annie, Sforzi, Andrea, Staples-Rolf, Ruth, Newman, Julie, Gill, Richard,Sharma, Nirwan, Rüger, Stefan and Siddharthan, Advaith(2023). X-Polli:Nation: Contributing towards sustainable development goals through school-based pollinator citizen science. Citizen Science: Theory and Practice, 8(1), article no. 48.
Riechmann, Miklas, Gardiner, Ross, Waddington, Kai, Rueger, Ryan,Fol Leymarie, Frederic and Rueger, Stefan(2022). Motion vectors and deep neural networks for video camera traps. Ecological Informatics, 69, article no. 101657.
Huynh, Trung , He, Yulan,Willis, Alistair and Rüger, Stefan(2016). Adverse Drug Reaction Classification With Deep Neural Networks. In: Proceedings of COLING 2016: Technical Papers, COLING, pp. 877–887.
Aparajeya, Prashant, Petresin, Vesna,Fol Leymarie, Frederic and Rueger, Stefan(2015). Movement description and gesture recognition for live media arts. In: Proceedings of the 12th European Conference on Visual Media Production, ACM, New York, article no. 19.
Halvey, Martin, McParlane, Philip, Jose, Joemon M., van Rijsbergen, Keith,Rüger, Stefan, Manmatha, R. and Kankanhalli, Mohan ,(2015). ICMR 2014: 4th ACM International Conference on Multimedia Retrieval. ACM SIGIR Forum, 49(1) pp. 10–15.
Huynh, Trung,He, Yulan and Rüger, Stefan(2015). Learning higher-level features with convolutional restricted Boltzmann machines for sentiment analysis. In: Advances in Information Retrieval (Hanbury, Allan; Kazai, Gabriella; Rauber, Andreas and Fuhr, Norbert eds.), Lecture Notes in Computer Science, Springer International Publishing, pp. 447–452.
Zhu, Jianhan , Song, Dawei, Rüger, Stefan, Eisenstadt, Marc and Motta, Enrico(2006). The Open University at TREC 2006 Enterprise Track ExpertSearch Task. In: Fifteenth Text REtrieval Conference (TREC2006), 14-17 Nov 2006, Gaithersburg, Maryland USA.
Zhu, Jianhan , Song, Dawei and Rüger, Stefan(2007). The Open University at TREC 2007 Enterprise Track. In: The Sixteenth Text REtrieval Conference (TREC2007), 06-09 Nov 2007, Gaithersburg, Maryland USA.
Projects
AETOSANSESCitizen Science and Artificial IntelligenceCos4CloudHuman-Computer Collaborative Learning in Citizen ScienceMultimedia Digital LibrariesNewsRoomSENSEThe UK Multimedia Knowledge Management NetworkuBaseVISHNUThemes
Artificial Intelligence and Data AnalysisLearning and Multimedia TechnologiesTopics
Environment and Sustainability