Doctor Rosalind Wang

Doctor Rosalind Wang

Academic Course Advisor, Data Science,
Dean's Unit Computer, Data & Mathematical Sciences

Senior Lecturer,


Dr Rosalind Wang is a senior lecturer in Data Science at Western Sydney University, Australia. Since completing her PhD in 2008, Dr Wang has worked as a machine learning and data mining researcher at CSIRO, Australia. At CSIRO, Dr Wang applied her skills in machine learning to a diverse field of projects ranging from energy management, anomaly detection in sensor networks, medical diagnostics and astronomy.

This information has been contributed by Doctor Wang.


  • PhD University of Sydney


  • Artificial Intelligence and Machine Learning
  • Information Theory

Organisational Unit (School / Division)

  • Dean's Unit Computer, Data & Mathematical Sciences
  • Mathematics


  • SCDMS Research and HDR Committee


Phone: (02) 9685 9232
Location: ER.G.13

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Current Teaching Areas

  • 301033 Introduction to Data Science


Chapters in Books

  • Miller, J., Wang, X., Lizier, J., Prokopenko, M. and Rossi, L. (2014), 'Measuring information dynamics in swarms', Guided Self-Organization: Inception, Springer 9783642537332.
  • Jurdak, R., Wang, X., Obst, O. and Valencia, P. (2011), 'Wireless sensor network anomalies : diagnosis and detection strategies', Intelligence-Based Systems Engineering, Springer 9783642179303.

Journal Articles

  • Li, M. and Wang, X. (2019), 'Peak alignment of gas chromatography-mass spectrometry data with deep learning', Journal of Chromatography A, vol 1604 .
  • Galvin, T., Huynh, M., Norris, R., Wang, X., Hopkins, E., Wong, O., Shabala, S., Rudnick, L., Alger, M. and Polsterer, K. (2019), 'Radio Galaxy Zoo : knowledge transfer using rotationally invariant self-organizing maps', Publications of the Astronomical Society of the Pacific, vol 131, no 1004 .
  • Berna, A., McCarthy, J., Wang, X., Michie, M., Bravo, F., Cassells, J. and Trowell, S. (2018), 'Diurnal variation in expired breath volatiles in malaria-infected and healthy volunteers', Journal of Breath Research, vol 12, no 4 .
  • Crosato, E., Jiang, L., Lecheval, V., Lizier, J., Wang, X., Tichit, P., Theraulaz, G. and Prokopenko, M. (2018), 'Informative and misinformative interactions in a school of fish', Swarm Intelligence, vol 12, no 4 , pp 283 - 305.
  • Wang, X., Cassells, J. and Berna, A. (2018), 'Stability control for breath analysis using GC-MS', Journal of Chromatography B, vol 1097-1098 , pp 27 - 34.
  • Cliff, O., Lizier, J., Wang, X., Wang, P., Obst, O. and Prokopenko, M. (2017), 'Quantifying long-range interactions and coherent structure in multi-agent dynamics', Artificial Life, vol 23, no 1 , pp 34 - 57.
  • Prokopenko, M., Barnett, L., Harre, M., Lizier, J., Obst, O. and Wang, X. (2015), 'Fisher transfer entropy : quantifying the gain in transient sensitivity', Proceedings of the Royal Society of London. Series A : Mathematical, Physical and Engineering Sciences, vol 471, no 2184 .
  • Wang, X., Lizier, J., Berna, A., Bravo, F. and Trowell, S. (2015), 'Human breath-print identification by E-nose, using information-theoretic feature selection prior to classification', Sensors and Actuators B: Chemical, vol 217 , pp 165 - 174.
  • Berna, A., McCarthy, J., Wang, X., Saliba, K., Bravo, F., Cassells, J., Padovan, B. and Trowell, S. (2015), 'Analysis of breath specimans for biomarkers of Plasmodium falciparum infection', The Journal of Infectious Diseases, vol 212, no 7 , pp 1120 - 1128.
  • Wang, X., Lizier, J., Nowotny, T., Berna, A., Prokopenko, M. and Trowell, S. (2014), 'Feature selection for chemical sensor arrays using mutual information', PLoS One, vol 9, no 3 .
  • Wang, X., Miller, J., Lizier, J., Prokopenko, M. and Rossi, L. (2012), 'Quantifying and tracing information cascades in swarms', PLoS One, vol 7, no 7 .
  • Prokopenko, M., Lizier, J., Obst, O. and Wang, X. (2011), 'Relating Fisher information to order parameters', Physical Review E (Statistical, Nonlinear, and Soft Matter Physics), vol 84, no 4 .
  • Wang, X., Lizier, J. and Prokopenko, M. (2011), 'Fisher information at the edge of chaos in random Boolean networks', Artificial Life, vol 17, no 4 , pp 315 - 329.

Conference Papers

  • Nadeem, R., Wang, X. and Chua, C. (2019), 'Applying data mining methods to generate formative feedback in team projects', Australasian Conference on Data Mining, Bathurst, N.S.W..
  • Cliff, O., Lizier, J., Wang, X., Wang, P., Obst, O. and Prokopenko, M. (2014), 'Towards quantifying interaction networks in a football match', RoboCup International Symposium, Eindhoven, Netherlands.
  • Wang, X., Lizier, J. and Prokopenko, M. (2010), 'A Fisher information study of phase transitions in random Boolean networks', International Conference on Artificial Life, Odense, Denmark.
  • Wang, X., Mathews, G., Price, D. and Prokopenko, M. (2009), 'Optimising sensor layouts for direct measurement of discrete variables', International Conference on Self-Adaptive and Self-Organizing Systems, San Francisco, Calif..
  • Wang, X., Lizier, J., Obst, O., Prokopenko, M. and Wang, P. (2008), 'Spatiotemporal anomaly detection in gas monitoring sensor networks', EWSN (Conference), Bologna, Italy.
  • Obst, O., Wang, X. and Prokopenko, M. (2008), 'Using echo state networks for anomaly detection in underground coal mines', IPSN (Conference), St. Louis, Mo..

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