Dr Daniel Angus

Lecturer

School of Communication and Arts
Faculty of Humanities and Social Sciences

Affiliate Lecturer

School of Information Technology and Electrical Engineering
Faculty of Engineering, Architecture and Information Technology
d.angus@uq.edu.au
+61 7 336 59765
+61 7 334 68255

Overview

Dr. Daniel Angus received the BS/BE double degree in research and development, and electronics and computer systems, and the PhD degree in computer science from Swinburne University of Technology, in 2004 and 2008, respectively. Dr. Angus joined The University of Queensland in 2008 as part of the ARC Thinking Systems initiative, and in 2012 began a strategic initiative in communication technologies between the then School of Journalism and Communication and School of Information Technology & Electrical Engineering.

His research focuses on the development of visualization and analysis methods for communication data, with a specific focus on conversation data. Dr. Angus and colleagues pioneered the development of the Discursis computer-based visual text analytic tool, used to analyse various forms of communication. Discursis has been used to analyse conversations, web forums, training scenarios, among other large and complex datasets, and is featured in numerous journal articles.

Research Impacts

Dr Angus is interested in the intersection of computer science and social science, with a particular interest in technologies for journalism and communication research and practice. His methodological innovations have improved our understanding of the nature of communication in: medical consultations, conversations in aged care settings, television broadcast, and newspaper reporting.

His most significant contribution to research has been the development of the Discursis technique,which is the first computer assisted qualitative discourse analysis software that can track the state of communication to identify key points and trends; provide visual evidence of communication issues or changes in situation; identify whether participants in a conversation are talking past each other or engaging successfully; identify whether participants are topic leaders or followers; and identify which concepts are influential and when.

His work has featured in leading scholarly venues including: IEEE Transactions on Visualization and Computer Graphics; IEEE Transactions on Audio, Speech, and Language Processing, and PLoS One.

Dr Angus regularly contributes expert commentary and opinion to local and international media on issue intersecting social and technological contexts such as metadata retention, disruptive technologies, and social media (particularly in political contexts).

Qualifications

  • Bachelor of Science, Swinburne University of Technology
  • Bachelor of Engineering, Swinburne University of Technology
  • Doctor of Philosophy, Swinburne University of Technology

Publications

View all Publications

Supervision

View all Supervision

Publications

Featured Publications

Book Chapter

  • Angus, Daniel (2009). Niching for ant colony optimisation. In Andrew Lewis, Sanaz Mostaghim and Marcus Randall (Ed.), Biologically-Inspired Optimisation Methods: Parallel Algorithms, Systems and Applications (pp. 165-188) Berlin, Germany: Springer. doi:10.1007/978-3-642-01262-4

Journal Article

Conference Publication

  • Ali, Omar, Soar, Jeffrey, Yong, Jianming, McClymont, Hoda and Angus, Daniel (2015). Collaborative cloud computing adoption in Australian regional municipal government: An exploratory study. In: Giancarlo Fortino, Weiming Shen, Jean-Paul Barthès, Junzhou Luo, Wenfeng Li, Sergio Ochoa, Marie-Helene Abel, Antonio Guerrieri and Milton Ramos, Proceedings of the 2015 IEEE 19th International Conference on Computer Supported Cooperative Work in Design, CSCWD 2015. IEEE International Conference on Computer Supported Cooperative Work in Design, Calabria, Italy, (540-548). 6 - 8 May 2015. doi:10.1109/CSCWD.2015.7231017

  • McKinnon, Caroline, Baazeem, Ibtehal and Angus, Daniel (2015). How few is too few? Determining the minimum acceptable number of LSA dimensions to visualise text cohesion with Lex. In: Ben Hachey and Kellie Webster, Australasian Language Technology Association Workshop 2015: Proceedings of the Workshop. Australasian Language Technology Association Workshop, Parramatta, NSW, Australia, (75-83). 8-9 December 2015.

  • Salamanca, Linda P., Carini, Amber R., Lee, Monique A., Dykstra, Karmen, Whitehill, Jacob, Angus, Daniel, Wiles, Janet, Reilly, Judy S. and Bartlett, Marian S. (2012). Characterizing the temporal dynamics of student-teacher discourse. In: 2012 Ieee International Conference On Development and Learning and Epigenetic Robotics (Icdl). IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL), San Diego CA, United States, (). 07-09 November 2012. doi:10.1109/DevLrn.2012.6400840

  • Brian, Samuel A., Salamanca, Linda P., Whitehill, Jacob, Reilly, Judy S., Bartlett, Marian S., Angus, Daniel and Wiles, Janet (2012). Using recurrence plots to visualize the temporal dynamics of tutor/student interactions. In: 2012 IEEE International Conference On Development and Learning and Epigenetic Robotics (Icdl). IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL), San Diego, United States, (57-58). 7-9 November 2012. doi:10.1109/DevLrn.2012.6400853

  • Angus, Daniel and Deller, Adam (2008). Computational intelligence in radio astronomy: Using computational intelligence techniques to tune geodesy models. In: Xiaodong Li et al., Simulated evolution and learning: 7th International Conference, SEAL 2008: Melbourne, Australia, December 2008: Proceedings. 7th International Conference Simulated Evolution and Learning (SEAL), Melbourne, Australia, (615-624). 7-10 December 2008. doi:10.1007/978-3-540-89694-4_62

  • Angus, D. (2007). Crowding Population-based Ant Colony Optimisation for the Multi-objective Travelling Salesman Problem. In: 2007 IEEE Symposium on Computational Intelligence in Multicriteria Decision Making (MCDM 2007). 1st IEEE Symposium of Computational Intelligence in Multicriteria Decision Making, Honolulu, HI, (333-340). 1-5 Apr 2007. doi:10.1109/MCDM.2007.369110

  • Angus, D. (2007). Population-based ant colony optimisation for multi-objective function optimisation. In: M. Randall, H. A. Abbass and J. Wiles, Progress in Artificial Life, Proceedings. 3rd Australian Conference on Artificial Life, Gold Coast, Australia, (232-244). 4-6 December, 2007.

  • Angus, D. (2006). Niching for Population-based Ant Colony Optimization. In: 2nd International IEEE Conference on e-Science and Grid Computing, 2006. e-Science '06. Second IEEE International Conference on e-Science and Grid Computing, Amsterdam, Netherlands, (115). 4-6 Dec 2006. doi:10.1109/E-SCIENCE.2006.261199

  • Angus, Daniel and Hendtlass, Tim (2002). Ant colony optimisation applied to a dynamically changing problem. In: Tim Hendtlass and Moonis Ali, Lecture Notes In Computer Science: Proceedings of the 15th international conference on Industrial and engineering applications of artificial intelligence and expert systems: developments in applied artificial intelligence. 15th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, Cairns, Qld., Australia, (618-627). 17-20 June, 2002.

Grants (Administered at UQ)

PhD and MPhil Supervision

Current Supervision

  • Doctor Philosophy — Associate Advisor

    Other advisors:

  • Doctor Philosophy — Principal Advisor

  • Doctor Philosophy — Associate Advisor

    Other advisors:

  • Master Philosophy — Associate Advisor

    Other advisors:

  • Doctor Philosophy — Principal Advisor

    Other advisors:

  • Doctor Philosophy — Principal Advisor

    Other advisors: