Personal profile


Roland Goecke, Ph.D. is Professor of Affective Computing in the School of Information Technology & Systems at the Faculty of Science & Technology. He is the Director of the Human-Centred Technology Research Centre and Head of the Vision and Sensing Group. Professor Goecke is also Research Leader for the Information Technology & Systems research program and serves the faculty as Associate Dean Research.

His research interests are in affective computing, computational behaviour analysis, social signal processing, pattern recognition, computer vision, human-computer interaction, multimodal signal processing and e-research. Professor Goecke focuses on algorithms that enable computers to understand the human user, to know who they are, what their mental / health state is; to support their well-being, performance and learning. This research finds applications in mental health research, health and well-being, behaviour analysis, sports performance analysis, biometrics, human-computer interaction, video / image analysis and multimedia retrieval. His research is funded by the ARC, ANDS, NeCTAR, the US NSF, and industry partners. Professor Goecke is an experienced research student supervisor. He is a member of the IEEE, ACM, ISCA and AAAC. He currently serves on the editorial board of Pattern Recognition and the IEEE Transactions on Affective Computing.

Professor Goecke holds a Master in Computer Science (1998) from the University of Rostock, Germany, and a PhD (2004) in Computer Science from the Australian National University, Canberra, Australia. Before joining UC in December 2008, he worked as a Senior Research Scientist with Seeing Machines, as a Researcher at the NICTA Canberra Research Lab, and as a Research Fellow at the Fraunhofer Institute for Computer Graphics, Germany.

Education/Academic qualification

PhD, Australian National University

… → 2004

Master, University of Rostock

… → 1998

External positions

Senior Research Scientist, Seeing Machines

1 Apr 200730 Jun 2008

Researcher, National ICT Australia (NICTA)

1 May 200431 Mar 2007

Researcher, Fraunhofer Institute for Computer Graphics Research Rostock

1 Aug 200230 Apr 2004

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Projects 2010 2019

Preventing Railway suicide: An open systems perspective-via ANU

GOECKE, R., Campbell, J., Gregor, S., Haller, A., Keating, B., Leitch, S., Roberts, D. & restubog, S.

Australian Research Council


Project: Other

Heads up: Monitoring head impact loads in head impact exposure sports

WADDINGTON, G., Braun, P., Chapman, D., Elkington, L., Field, B., GOECKE, R., Hughes, D., Humberstone, C., Marsden, J., Merkur, A., WITCHALLS, J. & bisley, K.

Australian Institute of Sport


Project: Other




Project: Other

Affective Sensing Technology for the Detection and Monitoring of Depression and Melancholia

GOECKE, R., Christensen, H., Cohn, J., Lucey, P. & Parker, G.

Australian Research Council


Project: Other

Research Output 1999 2018

Facial feature tracking: a psychophysiological measure to assess exercise intensity?

Miles, K. H., Clark, B., Périard, J. D., Goecke, R. & Thompson, K. G. 2018 In : Journal of Sports Sciences. 36, 8, p. 934-941 8 p.

Research output: Contribution to journalArticle

A Video-Based Facial Behaviour Analysis Approach to Melancholia

BHATIA, S., HAYAT, M., Breakspear, M., Parker, G. & GOECKE, R. 30 May 2017 Proceedings of the IEEE International Conference on Automatic Face and Gesture Recognition (FG 2017). Washington DC, USA: IEEE, p. 754-761 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Human Postural Sway Estimation from Noisy Observations

ISMAIL, H., RADWAN, I. H. I., SUOMINEN, H., WADDINGTON, G. & GOECKE, R. 30 May 2017 Proceedings of the 12th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2017). Washington DC: IEEE, p. 454-461 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Video cameras
Recurrent neural networks
Aging of materials

Joint Registration and Representation Learning for Unconstrained Face Identification

HAYAT, M., Khan, S., Werghi, N. & GOECKE, R. 21 Jul 2017 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR’17). Honolulu, Hawaii, USA: IEEE, p. 1551-1560 10 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
Electric fuses
Neural networks
Deep learning

MSMCT: Multi-State Multi-Camera Tracker

BOZORGTABAR, B. & GOECKE, R. 21 Sep 2017 In : IEEE Transactions on Circuits and Systems for Video Technology. 16 p.

Research output: Contribution to journalArticle

Open Access
Target tracking