Dr Matthias Treder
Lecturer
School of Computer Science and Informatics
- Email:
- trederm@cardiff.ac.uk
- Telephone:
- +44 (0)29 2251 0960
- Location:
- WX/3.12, Queen's Buildings - West Building Extension, 5 The Parade, Newport Road, Cardiff, CF24 3AA
My research interests revolve around machine learning, multivariate time-series analysis, and medical applications. I have been working in machine learning and its application in neuroscience and brain-computer interfaces since 2009.
I developed the open-source MVPA Light Toolbox for classification of neuroimaging time series data.
Education and qualifications
- 2017: BSc Mathematics, TU Berlin, Germany
- 2010: PhD in Cognitive Psychology
- 2005: Propedeuse diploma in Computer Science, Radboud University, The Netherlands
- 2004: MSc in Cognitive Psychology, Radboud University, The Netherlands
Honours and awards
- Travel Award, Guarantors of Brain Registered charity (2015)
- Brain-Computer Interfacing HCI 2011 Design Challenge, 1st prize (2011)
Academic positions
- 2018 - present: Lecturer, Cardiff University, UK
- 2017 - 2018: Research Fellow, Cardiff University, UK
- 2016 - 2017: Research Fellow, University of Birmingham, UK
- 2015 - 2016: DAAD (Germany) teaching fellow
- 2014 - 2015: Research Fellow, University of Cambridge, UK
- 2009 - 2014: Research Fellow, Machine Learning Lab, TU Berlin, Germany
Committees and reviewing
- Journal reviewer: IEEE TBME, J Neural Eng, NeuroImage
We are currently unable to retrieve the list of publications. Visit our institutional repository.
My teaching includes Python programming, statistical data analysis and visualisation.
Research interests include
- Interpretability of statistical models
- Kernel methods
- Optimisation in supervised learning
- Statistical learning in large datasets (many instances and/or many dimensions)
- Development of machine learning toolboxes
I am interested in supervising PhD students in the area of machine learning and data analysis, both fundamental and applied research. Specific topics include
- supervised learning
- optimisation
- time-series analysis
- applications in brain-computer interfaces
- applications in neuroimaging and psychiatry