Dr Mahsa Baktashmotlagh

Lecturer in Data Analytics

School of Information Technology and Electrical Engineering
Faculty of Engineering, Architecture and Information Technology
m.baktashmotlagh@uq.edu.au
+61 7 336 57597

Overview

Mahsa Baktashmotlagh is currently a Lecturer at UQ with a research focus, developing machine learning and datamining techniques applied in: Visual data analysis (Visual domain adaptation, video classification, and animal’s foragingbehavioural analysis), Road traffic networks (Mining large scale road traffic networks and building a road loadbalancing tool to predict congestion on any road in the city) , Biomedical data (Prediction of neonatal sepsis), and Finance (Hedging foreign exchange trading risks).

Qualifications

  • Doctor of Philosophy, The University of Queensland

Publications

  • Rahman, Mohammad Mahfujur, Fookes, Clinton, Baktashmotlagh, Mahsa and Sridharan, Sridha (2020). Correlation-aware adversarial domain adaptation and generalization. Pattern Recognition, 100107124, doi:10.1016/j.patcog.2019.107124

  • Michalkiewicz, Mateusz, Pontes, Jhony Kaesemodel, Jack, Dominic, Baktashmotlagh, Mahsa and Eriksson, Anders (2020). Implicit surface representations as layers in neural networks. 2019 IEEE/CVF International Conference on Computer Vision (ICCV), Seoul, Korea, 27 October -2 November, 2019 . Piscataway, NJ, United States :Institute of Electrical and Electronics Engineers. doi: 10.1109/ICCV.2019.00484

  • Cunningham-Nelson, Samuel, Baktashmotlagh, Mahsa and Boles, Wageeh (2019). Visualizing student opinion through text analysis. IEEE Transactions on Education, 62 (4) 8759085, 305-311. doi:10.1109/TE.2019.2924385

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Grants

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Supervision

  • Doctor Philosophy

  • Doctor Philosophy

  • Doctor Philosophy

View all Supervision

Publications

Journal Article

Conference Publication

  • Michalkiewicz, Mateusz, Pontes, Jhony Kaesemodel, Jack, Dominic, Baktashmotlagh, Mahsa and Eriksson, Anders (2020). Implicit surface representations as layers in neural networks. 2019 IEEE/CVF International Conference on Computer Vision (ICCV), Seoul, Korea, 27 October -2 November, 2019 . Piscataway, NJ, United States :Institute of Electrical and Electronics Engineers. doi: 10.1109/ICCV.2019.00484

  • Baktashmotlagh, Mahsa, Harandi, Mehrtash T., Lovell, Brian C. and Salzmann, Mathieu (2014). Domain adaptation on the statistical manifold. 27th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2014, Columbus, OH, United States, 23-28 June 2014. Piscataway, NJ, United States :I E E E Computer Society. doi: 10.1109/CVPR.2014.318

  • Baktashmotlagh, Mahsa, Harandi, Mehrtash T., Lovell, Brian C. and Salzmann, Mathieu (2013). Unsupervised domain adaptation by Domain Invariant Projection. 2013 IEEE International Conference on Computer Vision (ICCV), Sydney, Australia, 1-8 December 2013. Piscataway, NJ, United States :IEEE. doi: 10.1109/ICCV.2013.100

  • Ahmadi, Amin, Bigdeli, Abbas, Baktashmotlagh, Mahsa and Lovell, Brian C. (2012). A wireless mesh sensor network for hazard and safety monitoring at the Port of Brisbane. 37th Annual IEEE Conference on Local Computer Networks (LCN 2012), Clearwater, FL, United States, 22-25 October 2012. Washington, DC, United States :IEEE. doi: 10.1109/LCN.2012.6423601

  • Norouznezhad, Ehsan, Harandi, Mehrtash T., Bigdeli, Abbas, Baktash, Mahsa, Postula, Adam and Lovell, Brian C. (2012). Directional space-time oriented gradients for 3D visual pattern analysis. 12th European Conference on Computer Vision, ECCV 2012, Florence, Italy, 7 - 13 October 2012. Heidelberg, Germany :Springer. doi: 10.1007/978-3-642-33712-3_53

  • Baktashmotlagh, Mahsa, Bigdeli, Abbas and Lovell, Brian C. (2011). Dynamic resource aware sensor networks: Integration of sensor cloud and ERPs. 8th IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS), 2011, Klagenfurt, Austria, 30 August - 2 September 2011. Piscataway, NJ, United States :IEEE. doi: 10.1109/AVSS.2011.6027375

Other Outputs

Grants (Administered at UQ)

PhD and MPhil Supervision

Current Supervision