Dr Sebastian Stein
- Research Associate (Computing Science)
Office 320, Sir Alwyn Williams Building, School of Computing Science, University of Glasgow, 18 Lilybank Gardens, G12 8RZ
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.
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.
- human-computer interaction
- ubiquitous computing
- action recognition
- computer vision
- machine learning
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)
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)
- Taka, Evdoxia
Interactive Animated Visualizations of Probabilistic Models