Dr Alina Bialkowski

Lecturer in Computer Science

School of Electrical Engineering and Computer Science
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 (>1500 citations and an h-index of 19 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 and antennas/electromagnetic sensors to enable remote sensing and non-invasive imaging.

Qualifications

  • Doctor of Philosophy, Queensland University of Technology
  • Bachelor (Honours), Queensland University of Technology

Publications

View all Publications

Supervision

  • Doctor Philosophy

  • Doctor Philosophy

  • Doctor Philosophy

View all Supervision

Publications

Book Chapter

  • Shen, Shaofei, Zhang, Mingzhe, Chen, Weitong, Bialkowski, Alina and Xu, Miao (2023). Words can be confusing: stereotype bias removal in text classification at the word level. Advances in knowledge discovery and data mining. (pp. 99-111) edited by Hisashi Kashima, Tsuyoshi Ide and Wen-Chih Peng. Cham, Switzerland: Springer. doi: 10.1007/978-3-031-33383-5_8

  • 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

  • Wainwright, Richard, Wang, Danny, Layton, Harrison and Bialkowski, Alina (2023). Beyond model accuracy: identifying hidden underlying issues in chest x-ray classification. 36th Australasian Joint Conference on Artificial Intelligence, AI 2023, Brisbane, QLD, Australia, 28 November - 1 December 2023. Singapore, Singapore: Springer Nature Singapore. doi: 10.1007/978-981-99-8388-9_43

  • Joyce, Joshua, Arthur, Rudy, Fu, Guangtao, Bialkowski, Alina and Williams, Hywel (2023). Using social sensing to validate flood risk modelling in England. 36th Australasian Joint Conference on Artificial Intelligence, AI 2023, Brisbane, QLD, Australia, 28 November - 1 December 2023. Singapore, Singapore: Springer Nature Singapore. doi: 10.1007/978-981-99-8391-9_8

  • Cusack, Harrison and Bialkowski, Alina (2023). The effect of training data quantity on Monte Carlo Dropout uncertainty quantification in deep learning. 2023 International Joint Conference on Neural Networks (IJCNN), Gold Coast, QLD, Australia, 18-23 June 2023. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ijcnn54540.2023.10191327

  • Saha, Aninda, Bialkowski, Alina and Khalifa, Sara (2022). Distilling representational similarity using Centered Kernel Alignment (CKA). British Machine Vision Conference, London, United Kingdom, 21-24 November 2022. British Machine Vision Association (BMVA).

  • Lai, Wei-Chung and Bialkowski, Alina (2022). Anomaly localisation from microwave signals using deep learning. 27th International Symposium on Antennas and Propagation (ISAP), Sydney, Australia, 31 October-3 November 2022. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/isap53582.2022.9998673

  • Lockey, Steve, Gillespie, Nicole, Curtis, Caitlin, Bingley, William, Worthy, Peter, Haslam, Alexander, Steffens, Niklas, Bialkowski, Alina, Ko, Ryan and Wiles, Janet (2022). Necessary but not sufficient: assurance mechanisms for enhancing trust in AI-enabled job screening. 82nd Annual Meeting of the Academy of Management, Seattle, WA United States, 5-9 August 2022. Briarcliff Manor, NY United States: Academy of Management. doi: 10.5465/ambpp.2022.10638abstract

  • Layton, Harrison, Shrapnel, Sally and Bialkowski, Alina (2022). Explainable deep learning for medical imaging models through class specific semantic dictionaries. International Conference on Digital Image Computing: Techniques and Applications (DICTA), Sydney, NSW, Australia, 30 November 2022 - 02 December 2022. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/DICTA56598.2022.10034639

  • Saha, Aninda, Bialkowski, Alina and Khalifa, Sara (2022). Feature similarity and its correlation with accuracy in knowledge distillation. International Conference on Digital Image Computing: Techniques and Applications (DICTA), Sydney, NSW, Australia, 30 November 2022 - 02 December 2022. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/DICTA56598.2022.10034621

  • Saha, Aninda, Bialkowski, Alina and Khalifa, Sara (2022). Unified framework for effective knowledge distillation in single-stage object detectors. International Conference on Digital Image Computing: Techniques and Applications (DICTA), Sydney, NSW, Australia, 30 November 2022 - 02 December 2022. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/DICTA56598.2022.10034621

  • 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. Reston, VA United States: AAAI Press. doi: 10.1609/aaai.v26i1.8246

  • 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

  • SmartSat, Saha, Aninda , Sun, Yu , Bialkowski, Alina , Nguyen, Kien , Qin, A. Kai and Fookes, Clinton (2021). Machine learning onboard satellites. Adelaide, Australia: SmartSat Cooperative Research Centre.

  • 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

  • Doctor Philosophy — Principal Advisor

  • Doctor Philosophy — Principal Advisor

    Other advisors:

  • Doctor Philosophy — Associate Advisor

    Other advisors:

  • Doctor Philosophy — Associate Advisor

Completed Supervision