19992024

Research output per year

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Personal profile

Biography

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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Projects

Improving the specificity of affective computing via multimodal analysis

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

1/10/1930/09/22

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

1/05/1930/04/24

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

16/12/1630/06/19

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

1/01/1630/03/18

Project: Other

BehavioMatrix

Goecke, R.

9/09/1520/11/17

Project: Other

Research Output

Feature Map Augmentation to Improve Rotation Invariance in Convolutional Neural Networks

Kumar, D., Sharma, D. & Goecke, R., 2020, Advanced Concepts for Intelligent Vision Systems - 20th International Conference, ACIVS 2020, Proceedings. Blanc-Talon, J., Delmas, P., Philips, W., Popescu, D. & Scheunders, P. (eds.). Switzerland: Springer, p. 348-359 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12002 LNCS).

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

  • Adversarial Defense by Restricting the Hidden Space of Deep Neural Networks

    Mustafa, A., Khan, S. H., Hayat, M., Goecke, R., Shen, J. & Shao, L., 27 Oct 2019, Proceedinsg of the 2019 IEEE/CVF International Conference on Computer Vision (ICCV 2019). Lee, K. M., Forsyth, D., Pollefeys, M. & Tang, X. (eds.). United States: IEEE, Institute of Electrical and Electronics Engineers, p. 3384-3393 10 p.

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

    Open Access
  • 2 Citations (Scopus)

    Analyzing group-level emotion with global alignment kernel based approach

    Huang, X., Dhall, A., Goecke, R., Pietikainen, M. K. & Zhao, G., 14 Nov 2019, In : IEEE Transactions on Affective Computing. p. 1-15 15 p.

    Research output: Contribution to journalArticle

  • 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

  • 1 Citation (Scopus)

    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