Dana Michalski

Dana Michalski

School of Psychology

Faculty of Health and Medical Sciences

Eligible to supervise Masters and PhD (as Co-Supervisor) - email supervisor to discuss availability.


My main interest is applied research involving facial comparisons by humans and automated systems. This includes facial recognition, facial identification, and facial matching. I am also interested in evaluating and developing biometric technologies that can aid in the identification of children as well as those for disaster victim identification purposes.

More broadly, I am interested in forensic comparison sciences, human identification, human factors, forensic psychology, and machine learning.

My main interest is applied research involving facial comparisons by humans and automated systems. This includes facial recognition, facial identification, and facial matching.  I am also interested in evaluating and developing biometric technologies that can aid in the identification of children as well as those for disaster victim identification purposes. 

More broadly, I am interested in forensic comparison sciences, human identification, human factors, forensic psychology, and machine learning.

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  • Appointments

    Date Position Institution name
    2020 Adjunct Senior Lecturer University of Adelaide
    2017 Visiting Research Fellow University of Adelaide
    2017 Science Team Lead Biometrics Defence Science and Technology Group
    2011 - 2017 Research Scientist, Biometrics Defence Science and Technology Group
  • Awards and Achievements

    Date Type Title Institution Name Country Amount
    2019 Award International Women in Biometrics Award Security Industry Association United States
    2019 Award Women in Defence Award Finalist Australian Defence Magazine Australia
    2018 Award South Australian Science Excellence Award Finalist Government of South Australia Australia
    2018 Award University Doctoral Research Medal University of Adelaide
    2018 Award Best Presentation Award The 11th IAPR International Conference on Biometrics
    2017 Award Dean's Commendation for Doctoral Thesis Excellence University of Adelaide
    2017 Award Postgraduate Travel Fellowship University of Adelaide
    2016 Award Ross Vining Memorial Award Australian and New Zealand Forensic Science Society Australia
    2016 Award International Conference Travel Grant University of Adelaide
    2016 Award Highly Commended Oral Presentation Australian and New Zealand Forensic Science Society
    2016 Award Symposium Award Australian and New Zealand Forensic Science Society
  • Research Interests

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  • Journals

    Year Citation
    2019 Michalski, D., Heyer, R., & Semmler, C. (2019). The performance of practitioners conducting facial comparisons on images of children across age.. PloS one, 14(11), e0225298.
    DOI
    2018 Phillips, P. J., Heyer, R., & Michalski, D. (2018). Effectiveness of a Facial Forensic Training Course. Journal of Vision, 18(10), 560.
    DOI
    2014 Michalski, D., & Bearman, C. (2014). Factors affecting the decision making of pilots who fly in outback Australia. Safety Science, 68, 288-293.
    DOI Scopus4 WoS4
    2012 Churches, O., Callahan, R., Michalski, D., Brewer, N., Turner, E., Keage, H., . . . Nicholls, M. (2012). How academics face the world: a study of 5829 homepage pictures. PLoS One, 7(7), e38940-1-e38940-4.
    DOI Scopus12 WoS11 Europe PMC7
  • Conference Papers

    Year Citation
    2019 Hole, M., Michalski, D., & Malec, C. (2019). DST’s Child Identification R&D Program: Algorithm evaluations and development. In Unfamiliar Facial Identification Group Conference. Sydney, Australia.
    2019 Michalski, D., MacLeod, V., Snyder, G., & Pearce, T. (2019). DST’s Child Identification R&D Program: Overview and human research. In Unfamiliar Facial Identification Group Conference. Sydney, Australia.
    2019 Srinivas, N., Ricanek, K., Michalski, D., Bolme, D., & King, M. (2019). Face recognition algorithm bias: Performance differences on images of children and adults. In Conference on Computer Vision and Pattern Recognition Workshops IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Workshops. California, USA.
    2018 Michalski, D., Yiu, S., & Malec, C. (2018). The impact of age and threshold variation on facial recognition algorithm performance using images of children. In IEEE (pp. 217-224). Gold Coast, Australia.
    DOI
    2018 Michalski, D. (2018). Developing techniques and technologies to identify and classify children. In Biometrics Congress. London, UK.
    2018 Malec, C., Michalski, D., & Hole, M. (2018). Australian Government FR algorithm performance testing. In International Face Performance Conference. Maryland, USA.
    2018 Michalski, D. (2018). Findings from an examination of practitioner and algorithm performance when comparing facial images of children. In Unfamiliar Facial Identification Group Conference. Sydney.
    2017 Michalski, D., McLindin, B., Semmler, C., & Heyer, R. (2017). The impact of ageing on facial comparisons with images of children conducted by humans and automated systems. In International Conference of the Society for Applied Research in Memory and Cognition.
    2017 Heyer, R. L., Michalski, D., Lee, H., Calleja, J., & Vu, L. (2017). Vulnerabilities in face recognition. In Unfamiliar Facial Identification Group Conference. Sydney.
    2017 Michalski, D. J. (2017). The CSI effect: What is facial recognition technology really capable of?. In Asia-Pacific Coroner’s Society Conference. Adelaide, Australia.
    2016 Michalski, D., Heyer, R., & Semmler, C. A. (2016). Facial comparisons with images of children: Human and algorithm performance. In Biometrics 2016. London, United Kingdom.
    2016 Heyer, R., Michalski, D., Lee, H., Kardos, M., & McLindin, B. (2016). An update of Defence Science and Technology Group's unfamiliar facial identification and facial recognition research. In Unfamiliar Facial Identification Group Conference. Sydney.
    2016 Michalski, D., McLindin, B., Semmler, C., & Heyer, R. L. (2016). Facial image comparisons of children: How does the age of children in images affect human and algorithm performance?. In International Symposium on the Forensic Sciences (ANZFSS’16). Auckland, New Zealand.
    2015 Michalski, D., McLindin, B., Semmler, C., & Heyer, R. L. (2015). Is facial image comparison as effective for verifying children as it is adults in security applications?. In Florey International Postgraduate Research Conference. Adelaide.
    2014 Michalski, D., McLindin, B., Heyer, R. L., & Semmler, C. (2014). Understanding how Age Affects Facial Matching Performance of Humans and Facial Recognition Systems: Requirements Collection from Whole of Government and Industry. In Defence Human Sciences Symposium,. Adelaide.
    2014 Michalski, D., McLindin, B., Semmler, C., & Heyer, R. L. (2014). Examining the Performance of Human Operators and Automated Facial Recognition Systems for the Identification of Missing and Exploited Children. In International Symposium on the Forensic Sciences (ANZFSS’14). Adelaide.
    2014 Michalski, D., McLindin, B., Semmler, C., & Heyer, R. L. (2014). Empirically Examining the Impact of Age Related Variables on Facial Recognition Algorithms and Human Operators: A Methodological Primer. In 15th Biometrics Institute Asia Pacific Conference. Sydney.
    2014 Heyer, R. L., Michalski, D., Malec, C., & McLindin, B. (2014). Vulnerabilities of Facial Recognition: The Impact of Glasses and Ageing on Facial Recognition Performance. In Biometrics 2014. London.
    2013 Michalski, D. J., McLindin, B., MacLeod, V., Stacy, E., & Malec, C. (2013). Face-in-a-Crowd identification: Human aspects of searching for persons of interest with and without facial recognition systems. In 14th Biometrics Institute Asia Pacific Conference.
    2013 Heyer, R., Michalski, D., McLindin, B., & Nichols, G. (2013). An update on face related research.. In Unfamiliar Facial Identification Group Conference.
  • Conference Items

    Year Citation
    2019 Michalski, D. J. (2019). Face recognition and children – a research update. Poster session presented at the meeting of Biometrics Congress.
    2017 Michalski, D. J. (2017). Facial comparisons with images of children: Current research and future research directions. Poster session presented at the meeting of Facial Identification Scientific Working Group. Quantico, USA.
    2016 Michalski, D., McLindin, B., Semmler, C., & Heyer, R. L. (2016). The impact of extending the validity of children’s passports from 5 to 10 years. Poster session presented at the meeting of Florey International Postgraduate Research Conference. Adelaide.
    2014 Michalski, D. J., McLindin, B., Heyer, R., & Semmler, C. (2014). Whole of government and industry requirements collection: Understanding how the ageing variable affects facial comparison performance of humans and automated algorithms. Poster session presented at the meeting of Florey International Postgraduate Conference.
    2013 Michalski, D., McLindin, B., MacLeod, V., Stacy, E., & Malec, C. (2013). Face-in-a-Crowd identification: Human aspects of searching for persons of interest with and without facial recognition systems. Poster session presented at the meeting of 14th Biometrics Institute Asia Pacific Conference.
    2012 Nichols, G., Heyer, R. L., Nicholson, R., & Michalski, D. (2012). Facial Identification at Long-range. Poster session presented at the meeting of International Symposium on the Forensic Sciences (ANZFSS’12). Hobart.
  • Theses

    Year Citation
    2017 Michalski, D. (2017). The impact of age-related variables on facial comparisons with images of children: Algorithm and practitioner performance. (PhD Thesis).
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  • Current Higher Degree by Research Supervision (University of Adelaide)

    Date Role Research Topic Program Degree Type Student Load Student Name
    2020 Co-Supervisor Biometrics for child protection: exploring ways to improve human performance in identifying children from images Doctor of Philosophy Doctorate Full Time Miss Eden Skye Clothier
  • Other Supervision Activities

    Date Role Research Topic Location Program Supervision Type Student Load Student Name
    2019 - ongoing Co-Supervisor The Impact of Age on Human Face Matching Performance with Images of Children Univeristy of Adelaide Honours Eden Clothier
    2018 - 2018 Co-Supervisor The Performance of Untrained People Verifying Children and Adults on a Face Matching Task University of Adelaide Honours Thomas Pearce
    2018 - 2018 Co-Supervisor Age Estimation based on Facial Images: Potential Implications for Refugee Processing University of Adelaide Honours Gemma Snyder
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  • Committee Memberships

    Date Role Committee Institution Country
    2017 - 2018 Member SA Branch of the Australian and New Zealand Forensic Science Society Australian and New Zealand Forensic Science Society Australia
  • Memberships

    Date Role Membership Country
    2016 - ongoing Society for Applied Research in Memory and Cognition
    2012 - ongoing Biometrics Institute
    2012 - ongoing Australian and New Zealand Forensic Science Society

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