Roland Goecke

Ph.D.

Accepting PhD Students

PhD projects

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

19992021

Research activity per year

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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.

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 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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  • 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 BookConference contributionpeer-review

  • Automatic Segmentation of Achilles Tendon Tissues Using Deep Convolutional Neural Network

    Alzyadat, T., Praet, S., Chetty, G., Goecke, R., Hughes, D., Kumar, D., Welvaert, M., Vlahovich, N. & Waddington, G., 1 Jan 2020, Machine Learning in Medical Imaging - 11th International Workshop, MLMI 2020, Held in Conjunction with MICCAI 2020, Proceedings. Liu, M., Yan, P., Lian, C. & Cao, X. (eds.). Netherlands: Springer, p. 444-454 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12436 LNCS).

    Research output: A Conference proceeding or a Chapter in BookConference contributionpeer-review

    Open Access
  • Deeply Supervised Discriminative Learning for Adversarial Defense

    Mustafa, A., Khan, S. H., Hayat, M., Goecke, R., Shen, J. & Shao, L., 5 Mar 2020, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. p. 1-13 13 p.

    Research output: Contribution to journalArticlepeer-review

  • EmotiW 2020: Driver Gaze, Group Emotion, Student Engagement and Physiological Signal based Challenges

    Dhall, A., Sharma, G., Goecke, R. & Gedeon, T., 21 Oct 2020, ICMI '20: Proceedings of the 2020 International Conference on Multimodal Interaction. Truong, K., Heylen, D., Czerwinski, M., Berthouze, N., Chetouani, M. & Nakano, M. (eds.). United States: Association for Computing Machinery (ACM), p. 784-789 6 p. (ICMI 2020 - Proceedings of the 2020 International Conference on Multimodal Interaction).

    Research output: A Conference proceeding or a Chapter in BookConference contributionpeer-review

    7 Citations (Scopus)
  • Feature Map Augmentation to Improve Rotation Invariance in Convolutional Neural Networks

    Kumar, D., Sharma, D. & Goecke, R., 2020, Advanced Concepts for Intelligent Vision Systems - 20th International Conference, ACIVS 2020, Proceedings. Blanc-Talon, J., Delmas, P., Philips, W., Popescu, D. & Scheunders, P. (eds.). Switzerland: Springer, p. 348-359 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12002 LNCS).

    Research output: A Conference proceeding or a Chapter in BookConference contributionpeer-review

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