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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

Fingerprint Dive into the research topics where Roland Goecke is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Experiments Engineering & Materials Science
Classifiers Engineering & Materials Science
Speech recognition Engineering & Materials Science
Support vector machines Engineering & Materials Science
Face recognition Engineering & Materials Science
Cameras Engineering & Materials Science
Glossaries Engineering & Materials Science
Speech processing Engineering & Materials Science

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

Projects 2010 2024

Improving the specificity of affective computing via multimodal analysis

Goecke, R., Hayat, M., Cohn, J. F., Schuller, B. & Morency, L.


Project: Other

Building a Lifeline for the future: Expectations, innovations, outcomes

Rickwood, D., Pirkis, J., Klein, B., Goecke, R., Batterham, P., Titov, N., Epps, J., Kolves, K., Gould, M., Bradford, S. & Mazzer, K.

National Health and Medical Research Council


Project: Other

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


Goecke, R.


Project: Other

Research Output 1999 2019

1 Citation (Scopus)

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


Automated Measurement of Head Movement Synchrony during Dyadic Depression Severity Interviews

BHATIA, S., GOECKE, R., Hammal, Z. & Cohn, J. F., 1 May 2019, Proceedings - 14th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2019. Danvers, United States: IEEE, Institute of Electrical and Electronics Engineers, p. 169-176 8 p. 8756509. (Proceedings - 14th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2019).

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

Head Movements
Major Depressive Disorder

Automatic Depression Classification Based on Affective Read Sentences: Opportunities for Text-Dependent Analysis

Stasak, B., Epps, J. & Goecke, R., Dec 2019, In : Speech Communication. 115, p. 1-14 14 p.

Research output: Contribution to journalArticle

text analysis

Estimation of Missing Human Body Parts via Bidirectional LSTM

RADWAN, I. H. I., Asthana, A., ISMAIL, H., Keating, B. & GOECKE, R., 2019, Proceedings of the 2019 14th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2019). Danvers, USA: IEEE, Institute of Electrical and Electronics Engineers, p. 443-447 5 p. 8756597. (Proceedings - 14th IEEE International Conference on Automatic Face and Gesture Recognition, FG 2019).

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

Long short-term memory
3 Downloads (Pure)

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, p. 1-31 31 p., 2218.

Research output: Contribution to journalArticle

Open Access
Motion Pictures
Surgical Instruments