Dr Alina Bialkowski

Lecturer in Computer Science

School of Information Technology and Electrical Engineering
Faculty of Engineering, Architecture and Information Technology
alina.bialkowski@uq.edu.au
+61 7 336 53997

Overview

Dr Alina Bialkowski is a computer vision & machine learning researcher developing interpretable machine learning models to increase the performance and transparency of Artificial Intelligence (AI) decision-making. Her research interests include quantifying and extracting actionable knowledge from data to solve real-world problems and giving human understanding to AI models through feature visualisation and attribution methods. She has applied these techniques to various multi-disciplinary applications such as medical imaging (including imaging strokes in the brain using the new sensing modality of electromagnetic imaging), modelling human attention in driving, intelligent transport systems (ITS), intelligent surveillance, and sports analytics.

Dr Bialkowski holds a PhD and BEng (Electrical Engineering) from the Queensland University of Technology, Australia. Her doctoral studies were in characterising group behaviours from visual and spatio-temporal data to enhance statistics and visualisation in sports analytics as well as intelligent surveillance systems. She spent a year at Disney Research Pittsburgh where she developed techniques to automatically analyse team sports, followed by 2.5 years as a postdoctoral researcher at the University College London, developing deep neural networks to better understand human perception and attention in driving, before joining UQ in late 2017.

The impact of her research is evidenced by the high number of citations to her work (>1000 citations and an h-index of 16 according to Google Scholar) and awards including a best paper prize in 2017 at WACV (a top computer vision conference). In addition to high impact journals and conferences, her work has resulted in 6 international patents filed with Disney Research, Toyota Motor Europe, University College London, and The University of Queensland.

Research Interests

  • Machine Learning
    Developing interpretable or explainable models to increase trust and transparency of computer-based decisions.
  • Computer Vision
    Developing models of visual information using image processing and feature representation learning approaches such as deep learning to perform predictions on data.
  • Sensors
    Utilising sensors such as cameras, radar and antennas/electromagnetic sensors to enable remote sensing and non-invasive imaging.

Qualifications

  • Bachelor of Engineering (Honours), Qld. UT
  • Doctor of Philisophy, Qld. UT

Publications

  • Cook, David, Brown, Helen, Widanapathirana, Isuravi, Shah, Darshan, Walsham, James, Trakic, Adnan, Zhu, Guohun, Zamani, Ali, Guo, Lei, Brankovic, Aida, Al-Saffar, Ahmed, Stancombe, Anthony, Bialkowski, Alina, Nguyen, Phong, Bialkowski, Konstanty, Crozier, Stuart and Abbosh, Amin (2021). Case Report: preliminary images from an electromagnetic portable brain scanner for diagnosis and monitoring of acute stroke. Frontiers in Neurology, 12 765412, 765412. doi: 10.3389/fneur.2021.765412

  • Abbosh, Amin, Afasri, Arman, Zamani, Ali, Bialkowski, Alina, Zhu, Guohun, Nguyen, Thanh Phong, Guo, Lei and Wang, Yifan (2021). Apparatus and process for medical imaging. EP3846688A1.

  • Bialkowski, Alina, Bialkowski, Konstanty and Brankovic, Aida (2021). Fusion of traffic sensors for enhanced road monitoring. 17th ITS Asia Pacific Forum, Brisbane, Australia, 12-15 April 2021.

View all Publications

Grants

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Supervision

  • Doctor Philosophy

  • Doctor Philosophy

  • Doctor Philosophy

View all Supervision

Publications

Book Chapter

  • Bialkowski, Alina, Lucey, Patrick, Carr, Peter, Sridharan, Sridha and Matthews, Iain (2014). Representing team behaviours from noisy data using player role. Computer Vision in Sports. (pp. 247-269) Cham, Switzerland: Springer . doi: 10.1007/978-3-319-09396-3_12

  • Denman, Simon, Bialkowski, Alina, Fookes, Clinton and Sridharan, Sridha (2012). Identifying Customer Behaviour and Dwell Time Using Soft Biometrics. Video Analytics for Business Intelligence. (pp. 199-238) Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-28598-1_7

Journal Article

Conference Publication

  • Bialkowski, Alina, Bialkowski, Konstanty and Brankovic, Aida (2021). Fusion of traffic sensors for enhanced road monitoring. 17th ITS Asia Pacific Forum, Brisbane, Australia, 12-15 April 2021.

  • Palmer, Luke, Bialkowski, Alina, Brostow, Gabriel J., Ambeck-Madsen, Jonas and Lavie, Nilli (2017). Predicting the perceptual demands of urban driving with video regression. 17th IEEE Winter Conference on Applications of Computer Vision (WACV), Santa Rosa, California, 24-31 March 2017. NEW YORK: IEEE. doi: 10.1109/wacv.2017.52

  • Lucey, Patrick, Bialkowski, Alina, Monfort, Mathew, Carr, Peter and Matthews, Iain (2015). Quality vs quantity: improved shot prediction in soccer using strategic features from spatiotemporal data. MIT Sloan Sports Analytics Conference, Boston, MA United States, 27-28 February 2015. Boston, MA United States: MIT.

  • Bialkowski, Alina, Lucey, Patrick, Carr, Peter, Yue, Yisong and Matthews, Iain (2014). Win at home and draw away: automatic formation analysis highlighting the differences in home and away team behaviors. MIT Sloan Sports Analytics Conference, Boston, MA, United States, 28 February - 1 March 2014. Boston, MA, United States: MIT.

  • Lucey, Patrick, Bialkowski, Alina, Carr, Peter, Yue, Yisong and Matthews, Iain (2014). How to get an open shot: analyzing team movement in basketball using tracking data. MIT Sloan Sports Analytics Conference, Boston, MA, United States, 28 February - 1 March 2014. Boston, MA, United States: MIT.

  • Bialkowski, Alina, Lucey, Patrick, Carr, Peter, Yue, Yisong, Sridharan, Sridha and Matthews, Iain (2014). Identifying team style in soccer using formations learned from spatiotemporal tracking data. 2014 IEEE International Conference on Data Mining, Shenzhen, China, 14-17 December 2014. Red Hook, NY, United States: Curran Associates. doi: 10.1109/icdmw.2014.167

  • Bialkowski, Alina, Lucey, Patrick, Carr, Peter, Yue, Yisong, Sridharan, Sridha and Matthews, Iain (2014). Large-scale analysis of soccer matches using spatiotemporal tracking data. 2014 IEEE International Conference on Data Mining, Shenzhen, China, 14-17 December 2014. Red Hook, NY, United States: Curran Associates. doi: 10.1109/icdm.2014.133

  • Yue, Yisong, Lucey, Patrick, Carr, Peter, Bialkowski, Alina and Matthews, Iain (2014). Learning fine-grained spatial models for dynamic sports play prediction. 2014 IEEE International Conference on Data Mining, Shenzhen, China, 14-17 December 2014. Red Hook, NY, United States: Curran Associates. doi: 10.1109/icdm.2014.106

  • Bialkowski, Alina, Lucey, Patrick, Wei, Xinyu and Sridharan, Sridha (2013). Person re-identification using group information. 2013 International Conference on Digital Image Computing: Techniques and Applications (DICTA), Hobart, Tasmania, 26-28 November 2013. Red Hook, NY, United States: Curran Associates. doi: 10.1109/dicta.2013.6691512

  • Bialkowski, Alina, Lucey, Patrick, Carr, Peter, Denman, Simon, Matthews, Iain and Sridharan, Sridha (2013). Recognising team activities from noisy data. 26th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Portland, OR, United States, 23-28 June 2013. New York, NY, United States: IEEE. doi: 10.1109/cvprw.2013.143

  • Lucey, Patrick, Bialkowski, Alina, Carr, Peter, Morgan, Stuart, Matthews, Iain and Sheikh, Yaser (2013). Representing and Discovering Adversarial Team Behaviors Using Player Roles. 26th IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Portland, Oregon, 23-28 June 2013. Red Hook, NY, United States: Curran Associates. doi: 10.1109/cvpr.2013.349

  • Lucey, Patrick, Bialkowski, Alina, Carr, Peter, Foote, Eric and Matthews, Iain (2012). Characterizing multi-agent team behavior from partial team tracings: Evidence from the english premier league. AAAI Conference on Artificial Intelligence, Toronto, Canada, 22-26 July 2012. AAAI Press.

  • Bialkowski, Alina, Denman, Simon, Sridharan, Sridha, Fookes, Clinton and Lucey, Patrick (2012). A database for person re-identification in multi-camera surveillance networks. 2012 International Conference on Digital Image Computing Techniques and Applications (DICTA), Fremantle, Western Australia, 3-5 December 2012. Red Hook, NY, United States: Curran Associates. doi: 10.1109/dicta.2012.6411689

  • Denman, Simon, Halstead, Michael, Bialkowski, Alina, Fookes, Clinton and Sridharan, Sridha (2012). Can you describe him for me? A technique for semantic person search in video. 2012 International Conference on Digital Image Computing Techniques and Applications (DICTA), Fremantle, Western Australia, 3-5 December 2012. Red Hook, NY, United States: Curran Associates. doi: 10.1109/dicta.2012.6411729

  • Denman, Simon, Bialkowski, Alina, Fookes, Clinton and Sridharan, Sridha (2011). Determining operational measures from multi-camera surveillance systems using soft biometrics. 2011 8th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), Klagenfurt, Austria, 30 August - 2 September 2011. IEEE. doi: 10.1109/avss.2011.6027377

  • Denman, Simon, Fookes, Clinton, Bialkowski, Alina and Sridharan, Sridha (2009). Soft-biometrics: unconstrained authentication in a surveillance environment. 11th Conference on Digital Image Computing: Techniques and Applications, Melbourne, Australia, 1-3 December 2009. Red Hook, NY, United States: Curran Associates. doi: 10.1109/dicta.2009.38

Other Outputs

  • Abbosh, Amin, Afasri, Arman, Zamani, Ali, Bialkowski, Alina, Zhu, Guohun, Nguyen, Thanh Phong, Guo, Lei and Wang, Yifan (2021). Apparatus and process for medical imaging. EP3846688A1.

Grants (Administered at UQ)

PhD and MPhil Supervision

Current Supervision

  • Doctor Philosophy — Principal Advisor

    Other advisors:

  • Doctor Philosophy — Principal Advisor

  • Doctor Philosophy — Principal Advisor

    Other advisors:

  • Doctor Philosophy — Associate Advisor