Accepting PhD Students

PhD projects

See https://rolandgoecke.net/research-students/future-research-student-projects/

19992023

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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. 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):

  • SDG 3 - Good Health and Well-being

Education/Academic qualification

PhD, A Stereo Vision Lip Tracking Algorithm and Subsequent Statistical Analyses of the Audio-Video Correlation in Australian English, Australian National University

… → 2004

Award Date: 24 Jul 2004

Master, Fast Volume Rendering Methods for 2D/3D Registration, University of Rostock

… → 1998

Award Date: 6 Jan 1998

External positions

Senior Research Scientist, Seeing Machines Group

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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