MoreGrasp - EC Horizon2020 project 2015-2018. Final Demo video
CoSound A Cognitive Systems Approach to Enriched and Actionable Information from Audio Streams, Supported by the Danish Strategic Research Council, Jan. 2012 – Dec. 2015
Bang & Olufsen Ph.D. studentship. This led to the BeoSound Moment system.
TOBI: Tools for Brain-Computer Interaction, EC-funded project. Roderick Murray-Smith (Glasgow PI), John Williamson, project coordinator:Prof. José del R. Millán, 2008-2012.
Dynamics, Uncertainty and Interaction, (€66K) PASCAL Pump-priming project (EC-funded), 2005-2006, Roderick Murray-Smith & John Williamson, based in Glasgow, in collaboration with Fraunhofer FIRST, Berlin, and DTU, Denmark.
MAC - Multi-Agent Control: Probabilistic reasoning, optimal co-ordination, stability analysis and controller design for intelligent hybrid systems. (€1.2M) A four year Research Training Network within the European Commission's 5th Framework, April 2000-2004.
Early recognition of rollover in large lorries, Industrially funded
project (joint work with K. Hunt in Mechanical Engineering as Principal Investigator)
Portable Robotic Laboratories, EPSRC funded Public Understanding
Award (Prof. Muffy Calder
as Principal Investigator). See the legolab page
for related information.
Design of controllers based on pattern recognition (Fondecyt Project
700397), (Principal Investigator Daniel
Sbarbaro-Hofer, Universidad de Concepcion, Chile)
Gesture-Based Interaction with Mobile Devices, (together with coinvestigator
Stephen Brewster). Funded
by SHEFC RDG85.
C. Kaul, K. J. Mitchell, K. Kassem, A. Tragakis, V. Kapitany, I. Starshynov, F. Villa, R. Murray-Smith, D. Faccio, AI-Enabled Sensor Fusion of Time of Flight Imaging and mmWave for Concealed Metal Detection, Sensors, 24 (18), 5865, 2024. pdf
G.E. Johnstone, J. Gray, S. Bennett, S.D. Johnson, C.F. Higham, F Dehkhoda, E. Xie, J. Herrnsdorf, P. Murray, M.J. Padgett, R. Murray-Smith, R.K. Henderson, M.D. Dawson, M.J. Strain, High speed single pixel imaging using a microLED-on-CMOS light projector, Optics Express, Vol. 32, no. 14, p24615-24628, 2024. pdf
A. Tragakis, M. Aversa, C. Kaul, R. Murray-Smith, Is One GPU Enough? Pushing Image Generation at Higher-Resolutions with Foundation Models, NeurIPS, 2024. pdf
G. Nobis, M. Springenberg, M. Aversa, M. Detzel, R. Daems, R. Murray-Smith, S. Nakajima, S. Lapuschkin, S. Ermon, T. Birdal, M. Opper, Ch. Knochenhauer, L. Oala, W. Samek, Generative Fractional Diffusion Models, NeurIPS 2024. pdf
S. Stein, J. H. Williamson, R. Murray-Smith, Towards Interaction Design with Active Inference: A Case Study on Noisy Ordinal Selection, International Workshop on Active Inference (IWAI), Oxford, 2024. pdf
F. Fischer, A. Ikkala, M. Klar, A. Fleig, M.Bachinski, R. Murray-Smith, P. Hämäläinen, A. Oulasvirta, J. Müller, SIM2VR: Towards Automated Biomechanical Testing in VR, UIST 2024.
M. Aversa, G. Nobis, M. Hägele, K. Standvoss, M. Chirica, R. Murray-Smith, A. M. Alaa, L. Ruff, D. Ivanova, W. Samek, F. Klauschen, B. Sanguinetti, L. Oala, Diffinfinite: Large mask-image synthesis via parallel random patch diffusion in histopathology, NeurIPS 36, 2023. pdf
J. Mitton, R. Murray-Smith, Subgraph Permutation Equivariant Networks, Transactions on Machine Learning Research, August 2023. pdf
R. Murray-Smith, A. Oulasvirta, A. Howes, J. Müller, A. Ikkala, M. Bachinski, A. Fleig, F. Fischer, M. Klar, What Simulation Can Do for HCI Research, ACM Interactions Magazine, Nov/Dec. 2022. pdf
A. Tragakis, C. Kaul, R. Murray-Smith, D. Husmeier, The Fully Convolutional Transformer for Medical Image Segmentation, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 23), 2023. pdf
J. Mitton, S.P. Mekhail, M. Padgett, D. Faccio, M. Aversa, and R. Murray-Smith, Bessel Equivariant Networks for Inversion of Transmission Effects in Multi-Mode Optical Fibres,
NeurIPS 2022. pdf
A. Ikkala, Fischer, F., Klar, M., Bachinski, M., Fleig, A., Howes, A., Hämäläinen, P., Müller, J., Murray-Smith, R. and Oulasvirta, A., Breathing Life Into Biomechanical User Models, UIST'22: The 35th Annual ACM Symposium on User Interface Software and Technology, Bend, OR, USA, Nov 2022. pdf
C. Kaul, J. Mitton, H. Dai, and R. Murray-Smith, Convolutional Point Transformer, 16th Asian Conference on Computer Vision (ACCV2022), 2022. pdf
R. Murray-Smith, J.H. Williamson, F. Tonolini, Human–Computer Interaction Design and Inverse Problems, Ch 7 of Bayesian Methods for Interaction and Design, Ed. J.H. Williamson, A. Oulasvirta, P.O. Kristensson, N. Banovic, Cambridge University Press, 2022.
D.J. Siria, R. Sanou, J. Mitton, E. P. Mwanga, A. Niang, I. Sare, P. C. D. Johnson, G. M. Foster, A. M. G. Belem, K. Wynne, R. Murray-Smith, H. M. Ferguson, M. González-Jiménez, S. A. Babayan, A. Diabaté, F. O. Okumu, F. Baldini, Rapid age-grading and species identification of natural mosquitoes for malaria surveillance. Nature Communications 13, 1501 (2022). pdf
H. Gabbard, C. Messenger, I. S. Heng, F. Tonolini, R. Murray-Smith, Bayesian parameter estimation using conditional variational autoencoders for gravitational-wave astronomy, Nature Physics, 18, 112–117, 2022.nature articleopen article
J. Mitton, R. Murray-Smith, Rotation Equivariant Deforestation Segmentation and Driver Classification, Tackling Climate Change with Machine Learning workshop at NeurIPS 2021. arXiv preprint arXiv:2110.13097
J. A. Á. Martín, H. Gollee, J. Müller, R. Murray-Smith, Intermittent control as a model of mouse movements, ACM Transactions on Computer-Human Interaction, Volume 28, Issue 5, 2021. pdf
M. M. Rusu, S. Y. Schött, J. H. Williamson, A. Schmidt, R. Murray-Smith, Low-Dimensional Embeddings for Interaction Design, Advanced Intelligent Systems, 2021. https://doi.org/10.1002/aisy.202100045
Francesco Tonolini, Jack Radford, Alex Turpin, Daniele Faccio, Roderick Murray-Smith, Variational Inference for Computational Imaging Inverse Problems, Journal of Machine Learning Research, Vol 21, No. 179, p1-46, 2020. pdf
S. Yilmaz, E. Dudkina, M. Bin, E. Crisostomi, P. Ferraro, R. Murray-Smith, T. Parisini, L. Stone, R. Shorten, Kemeny-based testing for COVID-19, PLOS ONE 15(11): e0242401, 2020. pdf
A. Turpin, G. Musarra, V. Kapitany, F. Tonolini, A. Lyons, I. Starshynov, F. Villa, E. Conca, F. Fioranelli, R. Murray-Smith, and D. Faccio, Spatial images from temporal data, Optica, Vol. 7, Issue 8, pp. 900-905, 2020. pdfvideo
J. Williamson, M. Quek, I. Popescu, A. Ramsay, R. Murray-Smith, Efficient human-machine control with asymmetric marginal reliability input devices, PLOS ONE, E 15(6):e0233603, June, 2020.
pdf, blog summary, video
A. C. Quiros, R. Murray-Smith, Ke Yuan, PathologyGAN: Learning deep representations of cancer tissue, Proceedings of the Third Conference on Medical Imaging with Deep Learning, PMLR 121:669-695, 2020. pdf
N. Radwell, S. D. Johnson, M. P. Edgar, C. F. Higham, R. Murray-Smith, and M. J. Padgett Deep learning optimized single-pixel LiDAR, Applied Physics Letters 115, 231101 (2019). pdf
D. G. Ireland, M. Döring, D. I. Glazier, J. Haidenbauer, M. Mai, R. Murray-Smith, and D. Rönchen, Kaon Photoproduction and the Λ Decay Parameter α−, Phys. Rev. Lett. 123, 182301, October 2019. pdf
F. Tonolini, B. Jensen, R. Murray-Smith, Variational Sparse Coding, Proceedings of The 35th Uncertainty in Artificial Intelligence Conference, PMLR 115:690-700 (Tel Aviv), 2019. PMLR, pdfsupplementary materialsgithub
P. Caramazza, O. Moran, R. Murray-Smith, D. Faccio, Transmission of natural scene images through a multimodefibre, Nature Communications, 10, Article number: 2029, 2019, pdf
O. Moran, P. Caramazza, D. Faccio, R. Murray-Smith, Deep, complex, invertible networks for inversion of transmission effects in multimode optical fibres, Advances in Neural Information Processing Systems 31 (NIPS 2018/NeurIPS 2018), Montreal. pdf
P. Caramazza, A. Boccolini, D. Buschek, M. Hullin, C. Higham, R. Henderson, R. Murray-Smith, D. Faccio, Neural network identification of people hidden from view with a single-pixel, single-photon detector, Nature Scientific reports, 8, 1, 11945, 2018. pdf
C.F. Higham, R. Murray-Smith, M.J. Padgett, M.P. Edgar, Deep learning for real-time single-pixel video, Nature Scientific Reports, 2018. pdf
R. Murray-Smith, Control Theory, Dynamics and Continuous Interaction, in Computational Interaction Design, eds. A. Oulasvirta, P. O. Kristensson, A. Howes, X. Bi, Oxford University Press, 2018. pdf
J. Müller, A. Oulasvirta, R. Murray-Smith, Control Theoretic Models of Pointing, ACM Transactions on Computer-Human Interaction, Vol. 24, No. 4, August 2017. pdf
Computational Interaction, Dynamics and Interaction, Machine learning in science, Ambiguous interfaces, Gaussian
Process priors, Gesture recognition, Human Operator Modelling and Cooperative Control systems, Probabilistic
Intelligent Interfaces.