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Roland Goecke is a professor at UNSW Canberra School of Systems & Computing, specializing in Affective Computing. He has a strong research focus on algorithms that enable computers to understand human users and assess their mental and health states to support well-being, performance, and learning. His interests encompass computational behaviour analysis, social signal processing, artificial intelligence, machine learning, pattern recognition, computer vision, human-computer interaction, and multimodal signal processing. Goecke's research contributes to various applications, including mental health research, behaviour analysis, biometric systems, and multimedia. He has received funding from multiple sources, including the Australian Research Council and various industry partners. An experienced supervisor of research students, Goecke is a senior member of IEEE and a member of ACM. He currently serves on the editorial board of the IEEE Transactions on Affective Computing. Goecke holds a Master's degree in Computer Science from the University of Rostock, Germany, obtained in 1998, and a Ph.D. in Computer Science from the Australian National University in 2004. He has previously worked at the University of Canberra, held positions in the Australian Public Service, and served as a Senior Research Scientist at Seeing Machines, among other roles.
UNSW Canberra • Canberra, Australia
Head of School in Systems & Computing.
Australian Public Service •
Seeing Machines •
NICTA Canberra Research Lab •
Fraunhofer Institute for Computer Graphics • Germany
Includes Business Intelligence, Enterprise Systems, and Cybersecurity Management streams.