Associate Professor Timothy Miller

  • Room: Level: 06 Room: 6.09
  • Building: Doug McDonell Building
  • Campus: Parkville

Research interests

  • Artificial Intelligence (Explainable AI)
  • Artificial Intelligence (Human-AI interaction)

Personal webpage


Associate Professor Tim Miller is an academic in the School of Computing and Information Systems at The University of Melbourne. 

Tim's primary interest lies in the area of artificial intelligence, in particular Explainable AI (XAI) and human-AI interaction. His work is at the intersection of artificial intelligence, interaction design, and cognitive science/psychology. His areas of education expertise is in artificial intelligence, software engineering, and technology innovation. He has extensive experience developing novel and innovative solution with industry and defence collaborators.

Recent publications

  1. Madumal, P.; Miller, T.; Sonenberg, L.; Vetere, F. A Grounded Interaction Protocol for Explainable Artificial Intelligence. AAMAS '19: PROCEEDINGS OF THE 18TH INTERNATIONAL CONFERENCE ON AUTONOMOUS AGENTS AND MULTIAGENT SYSTEMS. ASSOC COMPUTING MACHINERY. 2019, pp. 1033-1041.
  2. Mendoza, A.; Burrows, R.; Pedell, S.; Sterling, L.; Miller, T.; Lopez-lorca, A. Co-Creating Technology for Societal Change: A Mobile App addressing Homelessness. . European Network of Living Labs. 2019.
  3. Burrows, R.; Mendoza, A.; Sterling, L.; Miller, T. Evaluating Ask Izzy: A Mobile Web App for People Experiencing Homelessness. . Springer. 2019.
  4. Miller, T. Explanation in artificial intelligence: Insights from the social sciences. Artificial Intelligence. ELSEVIER SCIENCE BV. 2019, Vol. 267, pp. 1-38. DOI: 10.1016/j.artint.2018.07.007
  5. Miller, T.; Niu, J.; Chapman, M.; Mcburney, P. An overview and evaluation of the cat market design competition. . Oxford University Press. 2018, pp. 468-489. DOI: 10.1093/oxfordhb/9780199844371.013.18
  6. Singh, R.; Miller, T.; Newn, J.; Sonenberg, L.; Velloso, E.; Vetere, F. Combining Planning with Gaze for Online Human Intention Recognition. Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS. ASSOC COMPUTING MACHINERY. 2018, Vol. 1, pp. 488-496.
  7. Hoffman, R.; Miller, T.; Mueller, ST.; Klein, G.; Clancey, WJ. Explaining Explanation, Part 4: A Deep Dive on Deep Nets. IEEE Intelligent Systems. IEEE COMPUTER SOC. 2018, Vol. 33, Issue 3, pp. 87-95. DOI: 10.1109/MIS.2018.033001421
  8. Ramirez, M.; Papasimeon, M.; Lipovetzky, N.; Benke, L.; Miller, T.; Pearce, AR.; Scala, E.; Zamani, M. Integrated Hybrid Planning and Programmed Control for Real–Time UAV Maneuvering. Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS. International Foundation for Autonomous Agents and Multiagent Systems. 2018, Vol. 2, pp. 1318-1326.
  9. Blom, M.; Shekh, S.; Gossink, D.; Miller, T.; Pearce, AR. Inventory routing for defense: Moving supplies in adversarial and partially observable environments. The Journal of Defense Modeling and Simulation: Applications, Methodology, Technology. SAGE Publications. 2018, Vol. 17, Issue 1, pp. 55-81. DOI: 10.1177/1548512918798056
  10. Burrows, R.; Pedell, S.; Sterling, L.; Miller, T.; Mendoza, A. Motivational Goals for using Electronic Health Record Applications. . European Network of Living Labs (ENoLL). 2018. DOI: 10.5281/zenodo.1434908
  11. Miller, T.; Oren, N.; Sakurai, Y.; Noda, I.; Savarimuthu, BTR.; Son, TC. Preface. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2018, Vol. 11224 LNAI, pp. V-VI.
  12. Alatawi, E.; Mendoza, A.; Miller, T. Psychologically-Driven Requirements Engineering: A Case Study in Depression Care. 2018 25th Australasian Software Engineering Conference (ASWEC). IEEE. 2018, pp. 41-50. DOI: 10.1109/ASWEC.2018.00014
  13. Miller, T.; Pearce, AR.; Sonenberg, L. Social Planning for Trusted Autonomy. . SPRINGER INTERNATIONAL PUBLISHING AG. 2018, Vol. 117, pp. 67-86. DOI: 10.1007/978-3-319-64816-3_4
  14. Alatawi, E.; Miller, T.; Sondergaard, H. Symbolic Execution with Invariant Inlay: Evaluating the Potential. 2018 25th Australasian Software Engineering Conference (ASWEC). IEEE. 2018, pp. 26-30. DOI: 10.1109/ASWEC.2018.00012
  15. Abushark, Y.; Thangarajah, J.; Harland, J.; Miller, T. A framework for automatically ensuring the conformance of agent designs. Journal of Systems and Software. ELSEVIER SCIENCE INC. 2017, Vol. 131, pp. 266-310. DOI: 10.1016/j.jss.2017.05.098
  16. Winfree, T.; Goldacre, P.; Sherkat, M.; Graham, P.; Mendoza, A.; Miller, T. Learning for Low Carbon Living: The potential of mobile learning applications for built environment trades and professionals in Australia. Procedia Engineering. Elsevier. 2017, Vol. 180, pp. 1773-1783. DOI: 10.1016/j.proeng.2017.04.340
  17. Alatawi, E.; Sondergaard, H.; Miller, T. Leveraging abstract interpretation for efficient dynamic symbolic execution. 2017 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE). IEEE Press. 2017, pp. 619-625. DOI: 10.1109/ASE.2017.8115672
  18. Miller, T.; Pfau, J.; Sonenberg, L.; Kashima, Y. Logics of Common Ground. Journal of Artificial Intelligence Research. AI ACCESS FOUNDATION. 2017, Vol. 58, pp. 859-904. DOI: 10.1613/jair.5381
  19. Pedell, S.; Keirnan, A.; Priday, G.; Miller, T.; Mendoza, A.; Lopez-lorca, A.; Sterling, L. Methods for Supporting Older Users in Communicating Their Emotions at Different Phases of a Living Lab Project. TECHNOLOGY INNOVATION MANAGEMENT REVIEW. Carleton University. 2017, Vol. 7, Issue 2, pp. 7-19.
  20. Ramirez Javega, M.; Papasimeon, M.; Benke, L.; Lipovetzky, N.; Miller, T.; Pearce, A. Real-Time UAV Maneuvering via Automated Planning in Simulations. IJCAI International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence. 2017, pp. 5248-5255.

View a full list of publications on the University of Melbourne’s ‘Find An Expert’ profile