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个人简介
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.
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.
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Muhammad Umar Khan, Maryam Sousani, Niraj Hirachan, Calvin Joseph,Maryam Ghahramani,Girija Chetty,Roland Goecke, Raul Fernandez-Rojas
Sensors (Basel, Switzerland)no. 2 (2024): 458
Frontiers in pain research (Lausanne, Switzerland) (2023): 1150264
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2023 IEEE 17th International Conference on Automatic Face and Gesture Recognition (FG)pp.1-6, (2023)
IEEE Access (2023): 66641-66671
Frontiers in Sports and Active Living (2023): 1230202-1230202
MECHANICS BASED DESIGN OF STRUCTURES AND MACHINES (2023)
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IEEE TRANSACTIONS ON MEDICAL ROBOTICS AND BIONICSno. 4 (2023): 780-792
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