Available to supervise Higher Degree by Research students

19992019
If you made any changes in Pure these will be visible here soon.

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

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

  • 5 Similar Profiles
Classifiers Engineering & Materials Science
Experiments Engineering & Materials Science
Support vector machines Engineering & Materials Science
Glossaries Engineering & Materials Science
Sports Engineering & Materials Science
Cameras Engineering & Materials Science
Trajectories Engineering & Materials Science
Monitoring 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.

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

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

22/07/1331/12/17

Project: Other

Research Output 1999 2019

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

Stasak, B., Epps, J. & GOECKE, R. 10 Aug 2018 In : Computer Speech and Language. 53, p. 140-155 16 p.

Research output: Contribution to journalArticle

Linguistics
Discrimination
Disorder
Baseline
Acoustics

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: Chapter in Book/Report/Conference proceedingConference contribution

Students
1 Citations

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

Head Movements
Lactic Acid

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
Monitoring
Experiments

Multi-modal Framework for Analyzing the Affect of a Group of People

Huang, X., Dhall, A., Goecke, R., Pietikainen, M. & Zhao, G. Oct 2018 In : IEEE Transactions on Multimedia. 20, 10, p. 2706-2721 16 p.

Research output: Contribution to journalArticle

World Wide Web
Agglomeration
Internet
Experiments