Dr Sebastian Stein
- Research Fellow (School of Computing Science)
email:
Sebastian.Stein@glasgow.ac.uk
F161, Sir Alwyn Williams Building, School of Computing Science, University of Glasgow, 18 Lilybank Gardens, G12 8RZ
https://orcid.org/0000-0003-1828-4008Biography
Personal site drsstein.github.io/
I am Research Associate in the Inference, Dynamics and Interaction Research Group working on the EPSRC funded project Closed-Loop Data Science for Complex, Computationally- and Data-Intensive Analytics led by Prof. Roderick Murray-Smith.
Biography
I received my German Diplom (MSc. equivalent) in Computer Science and Electrical Engineering from the Technical University of Dortmund in 2010, and for my work on recognitising manipulation actions and methods for fusing data from video and embedded accelerometers, I was awarded my PhD in Computing from the University of Dundee in 2014. I continued my research as postdoctoral research assistant in Dundee before joining the University of Glasgow as Research Associate in 2016. I am currently working on the EPSRC funded project Closed-Loop Data Science for Complex, Computationally- and Data-Intensive Analytics led by Prof. Roderick Murray-Smith.
My interests are in intelligent interactive systems, spanning areas of HCI, ubiquitous computing, action recognition, computer vision and machine learning.
Research interests
- human-computer interaction
- ubiquitous computing
- action recognition
- computer vision
- machine learning
Publications
2025
Anderson, K., Stein, S. , Suen, H., Purcell, M., Belci, M., McCaughey, E., McLean, R., Khine, A. and Vuckovic, A. (2025) Generalisation of EEG-based pain biomarker classification for predicting central neuropathic pain in subacute spinal cord injury. Biomedicines, 13(1), 213. (doi: 10.3390/biomedicines13010213)
2024
Stein, S. , Williamson, J. H. and Murray-Smith, R. (2024) Towards Interaction Design with Active Inference: A Case Study on Noisy Ordinal Selection. In: 5th International Workshop on Active Inference (IWAI 2024), Oxford, UK, 09-11 Sep 2024, (Accepted for Publication)
2023
Taka, E. , Stein, S. and Williamson, J. H. (2023) Does interactive conditioning help users better understand the structure of probabilistic models? IEEE Transactions on Visualization and Computer Graphics, (doi: 10.1109/TVCG.2022.3231967) (PMID:37018342) (Early Online Publication)
2022
Maadi, S., Stein, S. , Hong, J. and Murray-Smith, R. (2022) Real-time adaptive traffic signal control in a connected and automated vehicle environment: optimisation of signal planning with reinforcement learning under vehicle speed guidance. Sensors, 22(19), 7501. (doi: 10.3390/s22197501) (PMID:36236600) (PMCID:PMC9572689)
2021
Anderson, K., Chirion, C., Fraser, M., Purcell, M., Stein, S. and Vuckovic, A. (2021) Markers of central neuropathic pain in Higuchi Fractal Analysis of EEG signals from people with spinal cord injury. Frontiers in Neuroscience, 15, 705652. (doi: 10.3389/fnins.2021.705652) (PMID:34512243) (PMCID:PMC8427815)
Müller-Putz, G. et al. (2021) Non-invasive brain–computer interfaces for control of grasp neuroprosthesis: The European MoreGrasp initiative. In: Müller-Putz, Gernot and Rupp, Rüdiger (eds.) Neuroprosthetics and Brain-Computer Interfaces in Spinal Cord Injury: A Guide for Clinicians and End Users. Springer: Cham, pp. 307-352. ISBN 9783030685447 (doi: 10.1007/978-3-030-68545-4_13)
Bin, M. et al. (2021) Post-lockdown abatement of COVID-19 by fast periodic switching. PLoS Computational Biology, 17(1), e1008604. (doi: 10.1371/journal.pcbi.1008604) (PMID:33476332)
Bin, M., Crisostomi, E., Ferraro, P., Murray-Smith, R. , Parisini, T., Shorten, R. and Stein, S. (2021) Hysteresis-based supervisory control with application to non-pharmaceutical containment of COVID-19. Annual Reviews in Control, 52, pp. 508-522. (doi: 10.1016/j.arcontrol.2021.07.001) (PMID:34404974) (PMCID:PMC8361045)
2017
Loriette, A., Murray-Smith, R. , Stein, S. and Williamson, J. (2017) Gesture Typing on Virtual Tabletop: Effect of Input Dimensions on Performance. In: ACM International Conference on Interactive Surfaces and Spaces (ISS '17), Brighton, UK, 17-20 Oct 2017, pp. 330-335. ISBN 9781450346917 (doi: 10.1145/3132272.3135074)
Müller-Putz, G.R. et al. (2017) Moregrasp: Restoration of Upper Limb Function in Individuals with High Spinal Cord Injury by Multimodal Neuroprostheses for Interaction in Daily Activities. In: 7th Graz Brain-Computer Interface Conference 2017, Graz, Austria, 18-22 Sep 2017, pp. 338-343. ISBN 9783851255331 (doi: 10.3217/978-3-85125-533-1-62)
Luzhnica, G., Stein, S. , Veas, E., Pammer, V., Williamson, J. and Murray Smith, R. (2017) Personalising Vibrotactile Displays through Perceptual Sensitivity Adjustment. In: 21st International Symposium on Wearable Computers (ISWC 2017), Maui, HI, USA, 11-15 Sept 2017, pp. 66-73. ISBN 9781450351881 (doi: 10.1145/3123021.3123029)
Stein, S. and McKenna, S. J. (2017) Recognising complex activities with histograms of relative tracklets. Computer Vision and Image Understanding, 154, pp. 82-93. (doi: 10.1016/j.cviu.2016.08.012)
Simpson, M., Woodman, S., Hiden, H., Stein, S. , Dowsland, S., Turner, M., Hanson, V. L. and Watson, P. (2017) A Platform for the Analysis of Qualitative and Quantitative Data about the Built Environment and its Users. In: 2017 IEEE 13th International Conference on eScience, Aukland, New Zealand, 24-27 Oct 2017, pp. 228-237. ISBN 9781538626863 (doi: 10.1109/eScience.2017.36)
2013
Stein, S. and McKenna, S. J. (2013) User-Adaptive Models for Recognizing Food Preparation Activities. In: CEA '13 Proceedings of the 5th International Workshop on Multimedia for Cooking and Eating Activities, Barcelona, Spain, 21 Oct 2013, pp. 39-44. ISBN 9781450323925 (doi: 10.1145/2506023.2506031)
Stein, S. and McKenna, S. J. (2013) Combining Embedded Accelerometers with Computer Vision for Recognizing Food Preparation Activities. In: Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, Zurich, Switzerland, 08-12 Sep 2013, pp. 729-738. ISBN 9781450317702 (doi: 10.1145/2493432.2493482)
2012
Stein, S. and McKenna, S. J. (2012) Accelerometer Localization in the View of a Stationary Camera. In: 2012 Ninth Conference on Computer and Robot Vision (CRV), Toronto, ON, Canada, 28-30 May 2012, pp. 109-116. ISBN 9781467312714 (doi: 10.1109/CRV.2012.22)
2011
Stein, S. and Fink, G. A. (2011) A New Method for Combined Face Detection and Identification Using Interest Point Descriptors. In: 2011 IEEE International Conference on Automatic Face and Gesture Recognition (FG 2011), Santa Barbara, CA, USA, 21-25 Mar 2011, pp. 519-524. ISBN 9781424491414 (doi: 10.1109/FG.2011.5771452)
Articles
Anderson, K., Stein, S. , Suen, H., Purcell, M., Belci, M., McCaughey, E., McLean, R., Khine, A. and Vuckovic, A. (2025) Generalisation of EEG-based pain biomarker classification for predicting central neuropathic pain in subacute spinal cord injury. Biomedicines, 13(1), 213. (doi: 10.3390/biomedicines13010213)
Taka, E. , Stein, S. and Williamson, J. H. (2023) Does interactive conditioning help users better understand the structure of probabilistic models? IEEE Transactions on Visualization and Computer Graphics, (doi: 10.1109/TVCG.2022.3231967) (PMID:37018342) (Early Online Publication)
Maadi, S., Stein, S. , Hong, J. and Murray-Smith, R. (2022) Real-time adaptive traffic signal control in a connected and automated vehicle environment: optimisation of signal planning with reinforcement learning under vehicle speed guidance. Sensors, 22(19), 7501. (doi: 10.3390/s22197501) (PMID:36236600) (PMCID:PMC9572689)
Anderson, K., Chirion, C., Fraser, M., Purcell, M., Stein, S. and Vuckovic, A. (2021) Markers of central neuropathic pain in Higuchi Fractal Analysis of EEG signals from people with spinal cord injury. Frontiers in Neuroscience, 15, 705652. (doi: 10.3389/fnins.2021.705652) (PMID:34512243) (PMCID:PMC8427815)
Bin, M. et al. (2021) Post-lockdown abatement of COVID-19 by fast periodic switching. PLoS Computational Biology, 17(1), e1008604. (doi: 10.1371/journal.pcbi.1008604) (PMID:33476332)
Bin, M., Crisostomi, E., Ferraro, P., Murray-Smith, R. , Parisini, T., Shorten, R. and Stein, S. (2021) Hysteresis-based supervisory control with application to non-pharmaceutical containment of COVID-19. Annual Reviews in Control, 52, pp. 508-522. (doi: 10.1016/j.arcontrol.2021.07.001) (PMID:34404974) (PMCID:PMC8361045)
Taka, E. , Stein, S. and Williamson, J. H. (2020) Increasing interpretability of Bayesian probabilistic programming models through interactive visualizations. Frontiers in Computer Science, 2, 567344. (doi: 10.3389/fcomp.2020.567344)
Stein, S. and McKenna, S. J. (2017) Recognising complex activities with histograms of relative tracklets. Computer Vision and Image Understanding, 154, pp. 82-93. (doi: 10.1016/j.cviu.2016.08.012)
Book Sections
Müller-Putz, G. et al. (2021) Non-invasive brain–computer interfaces for control of grasp neuroprosthesis: The European MoreGrasp initiative. In: Müller-Putz, Gernot and Rupp, Rüdiger (eds.) Neuroprosthetics and Brain-Computer Interfaces in Spinal Cord Injury: A Guide for Clinicians and End Users. Springer: Cham, pp. 307-352. ISBN 9783030685447 (doi: 10.1007/978-3-030-68545-4_13)
Conference Proceedings
Stein, S. , Williamson, J. H. and Murray-Smith, R. (2024) Towards Interaction Design with Active Inference: A Case Study on Noisy Ordinal Selection. In: 5th International Workshop on Active Inference (IWAI 2024), Oxford, UK, 09-11 Sep 2024, (Accepted for Publication)
Loriette, A., Murray-Smith, R. , Stein, S. and Williamson, J. (2017) Gesture Typing on Virtual Tabletop: Effect of Input Dimensions on Performance. In: ACM International Conference on Interactive Surfaces and Spaces (ISS '17), Brighton, UK, 17-20 Oct 2017, pp. 330-335. ISBN 9781450346917 (doi: 10.1145/3132272.3135074)
Müller-Putz, G.R. et al. (2017) Moregrasp: Restoration of Upper Limb Function in Individuals with High Spinal Cord Injury by Multimodal Neuroprostheses for Interaction in Daily Activities. In: 7th Graz Brain-Computer Interface Conference 2017, Graz, Austria, 18-22 Sep 2017, pp. 338-343. ISBN 9783851255331 (doi: 10.3217/978-3-85125-533-1-62)
Luzhnica, G., Stein, S. , Veas, E., Pammer, V., Williamson, J. and Murray Smith, R. (2017) Personalising Vibrotactile Displays through Perceptual Sensitivity Adjustment. In: 21st International Symposium on Wearable Computers (ISWC 2017), Maui, HI, USA, 11-15 Sept 2017, pp. 66-73. ISBN 9781450351881 (doi: 10.1145/3123021.3123029)
Simpson, M., Woodman, S., Hiden, H., Stein, S. , Dowsland, S., Turner, M., Hanson, V. L. and Watson, P. (2017) A Platform for the Analysis of Qualitative and Quantitative Data about the Built Environment and its Users. In: 2017 IEEE 13th International Conference on eScience, Aukland, New Zealand, 24-27 Oct 2017, pp. 228-237. ISBN 9781538626863 (doi: 10.1109/eScience.2017.36)
Stein, S. and McKenna, S. J. (2013) User-Adaptive Models for Recognizing Food Preparation Activities. In: CEA '13 Proceedings of the 5th International Workshop on Multimedia for Cooking and Eating Activities, Barcelona, Spain, 21 Oct 2013, pp. 39-44. ISBN 9781450323925 (doi: 10.1145/2506023.2506031)
Stein, S. and McKenna, S. J. (2013) Combining Embedded Accelerometers with Computer Vision for Recognizing Food Preparation Activities. In: Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, Zurich, Switzerland, 08-12 Sep 2013, pp. 729-738. ISBN 9781450317702 (doi: 10.1145/2493432.2493482)
Stein, S. and McKenna, S. J. (2012) Accelerometer Localization in the View of a Stationary Camera. In: 2012 Ninth Conference on Computer and Robot Vision (CRV), Toronto, ON, Canada, 28-30 May 2012, pp. 109-116. ISBN 9781467312714 (doi: 10.1109/CRV.2012.22)
Stein, S. and Fink, G. A. (2011) A New Method for Combined Face Detection and Identification Using Interest Point Descriptors. In: 2011 IEEE International Conference on Automatic Face and Gesture Recognition (FG 2011), Santa Barbara, CA, USA, 21-25 Mar 2011, pp. 519-524. ISBN 9781424491414 (doi: 10.1109/FG.2011.5771452)
Research datasets
2022
Taka, E. , Stein, S. and Williamson, J. (2022) Does Interacting Help Users Better Understand the Structure of Probabilistic Models? [Data Collection]
