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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, NICTA

1 May 200431 Mar 2007

Researcher, Fraunhofer Institute for Computer Graphics Research Rostock

1 Aug 200230 Apr 2004

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Classifiers Engineering & Materials Science
Experiments Engineering & Materials Science
Support vector machines Engineering & Materials Science
Glossaries Engineering & Materials Science
Sports Engineering & Materials Science
Depression Medicine & Life Sciences
Head Movements Medicine & Life Sciences
Cameras Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

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.


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.


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.


Project: Other

Research Output 1999 2028

An investigation of linguistic stress and articulatory vowel characteristics for automatic depression classification

Stasak, B., Epps, J. & GOECKE, R., 1 Jan 2019, In : Computer Speech and Language. 53, p. 140-155 16 p.

Research output: Contribution to journalArticle


Evaluating and Validating Emotion Elicitation Using English and Arabic Movie Clips on a Saudi Sample

Alghowinem, S., Goecke, R., Wagner, M. & Alwabil, A., 14 May 2019, In : Sensors. 19, 10, 31 p., 2218.

Research output: Contribution to journalArticle

Open Access
Motion Pictures
Surgical Instruments

EmotiW 2018: Audio-Video, Student Engagement and Group-Level Affect Prediction

Dhall, A., Kaur, A., GOECKE, R. & Gedeon, T., 16 Oct 2018, Proceedings of the 20th ACM International Conference on Multimodal Interaction (ICMI2018). New York, USA: ACM Association for Computing Machinery, p. 653-656 4 p.

Research output: A Conference proceeding or a Chapter in BookConference contribution

2 Citations (Scopus)

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

Miles, K. H., Clark, B., Périard, J. D., Goecke, R. & Thompson, K. G., 18 Apr 2018, In : Journal of Sports Sciences. 36, 8, p. 934-941 8 p.

Research output: Contribution to journalArticle

Head Movements
Lactic Acid
2 Citations (Scopus)

Multimodal Depression Detection: Fusion Analysis of Paralinguistic, Head Pose and Eye Gaze Behaviours

Alghowinem, S., GOECKE, R., WAGNER, M., Epps, J., Hyett, M., Parker, G. & Breakspear, M., 1 Oct 2018, In : IEEE Transactions on Affective Computing. 9, 4, p. 478-490 13 p.

Research output: Contribution to journalArticle

Fusion reactions
Feature extraction
Support vector machines