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Roland Goecke, Ph.D. is Professor of Affective Computing and Head of School, School of Systems & Computing at the ¹ú²ú¾«Æ· Canberra campus. His research interests are in affective computing, computational behaviour analysis, social signal processing, AI/machine learning/pattern recognition, computer vision, human-computer/robot/machine 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, human performance analysis (e.g. in sport), biometrics, human-computer interaction, video/image analysis, and multimedia.

His research has been 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 and AAAC. He currently serves on the editorial board of PatternRecognition 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 ¹ú²ú¾«Æ· in April 2024, he worked as a Professor at the University of Canberra, as a Web Systems Manager in the Australian Public Service, 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.