School of Engineering, Information Technology and Physical Sciences

Dr Adrian Shatte - Research

Research grants

2020 – 2024 NHMRC Million Minds Medical Research Future Fund ($1.34M, $55,000 direct). Associate Investigator.

  • Title: Leveraging digital technology to reduce the prevalence and severity of eating disorders in Australia (WIRED project).
  • Industry Partners: Butterfly Foundation, Australia & New Zealand Academy for Eating Disorders (ANZAED).

2020 Gippsland Primary Health Network ($50,000). Associate Investigator.

  • Title: Evaluation of DigitalHealth@Home Remote Patient Monitoring Program.
  • Industry Partners: Royal Flying Doctor Service Victoria, Gippsland PHN.

2020 City of Casey ($45,000). Associate Investigator.

  • Title: City of Casey Citizen Engagement Chatbot and Social Isolation Project.
  • Industry Partner: City of Casey Council.

2020 Federation University SEITPS Research Grant Scheme ($3,200). Lead Investigator.

  • Title: Refining the bidirectional encoder representations from transformer (BERT) model for semantic intent classification.

2020 – 2021 Deakin University Health Research Capacity Building Grant Scheme (HAtCH) ($30,860). External Investigator.

  • Title: Harnessing social media and m-health to predict, monitor, and intelligently intervene in paternal postpartum depression.

2019 Federation University SSEIT Research Grant Scheme ($2,343). Lead Investigator.

  • Title: Passive monitoring and intervention for fathers’ experiencing perinatal distress.

Journal articles

  1. Teague, S. J., & Shatte, A. (2021). Peer support of fathers on Reddit: quantifying the stressors, behaviors and drivers. Psychology of Men & Masculinities, In Press.
  2. Soderstrom, A., Shatte, A., & Fuller-Tyszkiewicz, M. (2021). Can intelligent agents improve data quality in online questionnaires? A pilot study. Behaviour Research Methods, In Press.
  3. Shatte, A. B., & Teague, S. J. (2020). schema: an open-source, distributed mobile platform for deploying mHealth research tools and interventions. BMC medical research methodology20, 1-12.
  4. Shatte, A. B., Hutchinson, D. M., Fuller-Tyszkiewicz, M., & Teague, S. J. (2020). Social media markers to identify fathers at risk of postpartum depression: a machine learning approach. Cyberpsychology, Behavior, and Social Networking23(9), 611-618.
  5. Fuller-Tyszkiewicz, M., Krug, I., Smyth, J. M., Fernandez-Aranda, F., Treasure, J., Linardon, J., ... & Shatte, A. (2020). State-Based Markers of Disordered Eating Symptom Severity. Journal of clinical medicine9(6), 1948.
  6. Linardon, J., Shatte, A., Tepper, H., & Fuller‐Tyszkiewicz, M. (2020). A survey study of attitudes toward, and preferences for, e‐therapy interventions for eating disorder psychopathology. International Journal of Eating Disorders53(6), 907-916.
  7. Linardon, J., Shatte, A., Rosato, J., & Fuller-Tyszkiewicz, M. (2020). Efficacy of a transdiagnostic cognitive-behavioral intervention for eating disorder psychopathology delivered through a smartphone app: a randomized controlled trial. Psychological Medicine, 1-12.
  8. Linardon, J., Shatte, A., Messer, M., Firth, J., & Fuller-Tyszkiewicz, M. (2020). E-mental health interventions for the treatment and prevention of eating disorders: An updated systematic review and meta-analysis. Journal of Consulting and Clinical Psychology88(11), 994.
  9. Shatte, A. B., Hutchinson, D. M., & Teague, S. J. (2019). Machine learning in mental health: a scoping review of methods and applications. Psychological medicine49(9), 1426-1448.
  10. Teague, S. J., and Shatte, A. B. R. 2018. “Exploring the Transition to Fatherhood: Feasibility Study Using Social Media and Machine Learning,” JMIR Pediatrics and Parenting (1:2), JMIR Pediatrics and Parenting, p. e12371.
  11. Teague, S., Youssef, G. J., Macdonald, J. A., Sciberras, E., Shatte, A., Fuller-Tyszkiewicz, M., Greenwood, C., McIntosh, J., Olsson, C. A., Hutchinson, D., and SEED Lifecourse Sciences Theme. 2018. “Retention Strategies in Longitudinal Cohort Studies: A Systematic Review and Meta-Analysis,” BMC Medical Research Methodology (18:1), p. 151.
  12. Fuller-Tyszkiewicz, M., Richardson, B., Klein, B., Skouteris, H., Christensen, H., Austin, D., Castle, D., Mihalopoulos, C., O’Donnell, R., Arulkadacham, L., Shatte, A., and Ware, A. 2018. “A Mobile App-Based Intervention for Depression: End-User and Expert Usability Testing Study,” JMIR Mental Health (5:3),, p. e54.
  13. Shatte, A., Holdsworth, J., and Lee, I. 2014. “Mobile Augmented Reality Based Context-Aware Library Management System,” Expert Systems with Applications (41:5), Elsevier, pp. 2174–2185.

Conference Papers

  1. Shatte, A., Holdsworth, J., and Lee, I. 2016. “Web-Based Collaborative Document Writing for Emergency Management,” in 2016 49th Hawaii International Conference on System Sciences (HICSS), IEEE, pp. 217–226.
  2. Shatte, A., Holdsworth, J., and Lee, I. 2016. “Untangling the Edits: User Attribution in Collaborative Report Writing for Emergency Management,” in Computational Science and Its Applications – ICCSA 2016, Lecture Notes in Computer Science, O. Gervasi, B. Murgante, S. Misra, A. M. A. C. Rocha, C. M. Torre, D. Taniar, B. O. Apduhan, E. Stankova, and S. Wang (eds.), Springer International Publishing, July 4, pp. 319–330.
  3. Shatte, A., Holdsworth, J., and Lee, I. 2015. “Multi-Synchronous Collaboration between Desktop and Mobile Users: A Case Study of Report Writing for Emergency Management,” in Proceedings of the 26th Australasian Conference on Information Systems. (
  4. Shatte, A., Holdsworth, J., and Lee, I. 2014. “The Impact of Dynamic Locking on Collaborative Programming,” in Proceedings of the 25th Australasian Conference on Information Systems, Auckland. (
  5. Shatte, A., Holdsworth, J., and Lee, I. 2014. “Hand-Held Mobile Augmented Reality for Collaborative Problem Solving: A Case Study with Sorting,” in 2014 47th Hawaii International Conference on System Sciences, January, pp. 91–99.
  6. Shatte, A., Holdsworth, J., and Lee, I. 2013. “Context-Aware Mobile Augmented Reality for Library Management,” in PRIMA 2013: Principles and Practice of Multi-Agent Systems, Springer Berlin Heidelberg, pp. 510–517.

External web links