Projects per year
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. He served the faculty as Associate Dean Research & Innovation from Nov 2015 to Dec 2020.
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, MRFF, NeCTAR, NHMRC, the US NSF, and industry partners. Professor Goecke is an experienced research student supervisor. He is a senior member of the IEEE and a member of 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.
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
PhD, Australian National University
… → 2004
Award Date: 24 Jul 2004
Master, University of Rostock
… → 1998
Award Date: 6 Jan 1998
External positions
Senior Research Scientist, Seeing Machines Group
1 Apr 2007 → 30 Jun 2008
Researcher, NICTA
1 May 2004 → 31 Mar 2007
Researcher, Fraunhofer Institute for Computer Graphics Research Rostock
1 Aug 2002 → 30 Apr 2004
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Improving the specificity of affective computing via multimodal analysis
Goecke, R., Hayat, M., Cohn, J., Schuller, B. & Morency, L.
1/10/19 → 31/12/23
Project: Other
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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.
1/05/19 → 30/04/24
Project: Other
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Implementing artificial intelligence (AI) to enhance Lifeline’s crisis support service capacity in response to COVID-19 and emerging crises
Rickwood, D., Goecke, R., Larsen, M., Epps, J., Klein, B., Dhall, A. & Ma, J.
1/11/20 → 30/04/22
Project: Research
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LIEF-Distributed Memory Cluster for the Intersect consortium of universities-via USyd
Goecke, R., Lewis, G., Wilkins, M., Hawkes, E., Kennedy, E., Ferry, M. & King, G.
5/09/17 → 4/09/18
Project: Research
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Preventing Railway suicide: An open systems perspective-via ANU
Goecke, R., Campbell, J., Gregor, S. D., Haller, A., Keating, B., Leitch, S., Roberts, D. & Restubog, S.
16/12/16 → 30/06/19
Project: Other
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A Multidimensional Approach to Develop Sway Index Using Gaussian Mixture Model: A Way of Postural Sway Measurement and Analysis in Different Age Groups
Ghahramani, M., Ismail, H. & Goecke, R., 5 Sep 2021, In: IEEE Transactions on Instrumentation and Measurement. 70, p. 1-11 11 p., 9521240.Research output: Contribution to journal › Article › peer-review
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CNN Depression Severity Level Estimation from Upper Body vs. Face-Only Images
Ahmad, D., Goecke, R. & Ireland, J., 25 Feb 2021, Pattern Recognition. ICPR International Workshops and Challenges, 2021, Proceedings. Del Bimbo, A., Cucchiara, R., Sclaroff, S., Farinella, G. M., Mei, T., Bertini, M., Escalante, H. J. & Vezzani, R. (eds.). Netherlands: Springer, p. 744-758 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12666 LNCS).Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review
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Deeply Supervised Discriminative Learning for Adversarial Defense
Mustafa, A., Khan, S. H., Hayat, M., Goecke, R., Shen, J. & Shao, L., 1 Sep 2021, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 43, 9, p. 3154-3166 13 p., 9025211.Research output: Contribution to journal › Article › peer-review
Open Access4 Citations (Scopus) -
Exoskeleton robots for lower limb assistance: A review of materials, actuation, and manufacturing methods
Hussain, F., Goecke, R. & Mohammadian, M., Dec 2021, In: Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine. 235, 12, p. 1375-1385 11 p.Research output: Contribution to journal › Review article › peer-review
5 Citations (Scopus) -
Micro-Expression Recognition Based on Video Motion Magnification and Pre-trained Neural Network
Bai, K., Goecke, R. & Herath, D., 23 Aug 2021, 2021 IEEE International Conference on Image Processing, ICIP 2021 - Proceedings. alZahir, S., Labeau, F. & Mock, K. (eds.). United States: IEEE, Institute of Electrical and Electronics Engineers, p. 549-553 5 p. (Proceedings - International Conference on Image Processing, ICIP; vol. 2021-September).Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review