Personal profile
Biography
Since 2018 I have been leading research projects on the topic of scaling AI technologies that perform logical inference, with Australian commonwealth government organisations. I also actively contribute to projects in the aerospace and astronomy domains. I occasionally collaborate with artists to expose and celebrate the "clockwork orange" in fashionable machine learning paradigms.
For my education contributions since 2018, I have been convening the TechLauncher program at the Australian National University, and poinoeered related courses that involved entrepreneurial oversease study tours. In a given semester, TechLauncher comprises 35 teams of students working collaboratively and professionally together to: (i) create and leverage technology innovations to build and scale new enterprises, or (ii) fulfil statements of work and build relationships with business, industry, and government organisations in the Canberra region and around the world.
In mid 2015 I co-founded Red Analytics PTY LTD (a.k.a. HIVERY), a Data61 spinout and global business supported by the coca-cola founders platform. I developed AI to optimise continental scale retail business operations.
From August 2011 I was a senior researcher with the Data61 (NICTA) lab in Canberra, Australia, working on research in Artificial Intelligence and Operations Research. In addition to multiple fundamental research contributions to Artificial Intelligence Planning, I worked collaboratively with industry to optimise, deliver, and implement real-world continential scale fleet and route optimisation problems.
From 2008-11 I was a research fellow with the Intelligent Robotics Lab at the University of Birmingham, United Kingdom. There I worked on a project investigating cognitive robots that could self-understand and self-extend.
I was a researcher with the NICTA lab in Brisbane 2006-2008; There, I worked on fundamental research in AI Search, and simulation studies of city wide evacuation planning. I held adjunct positions at Griffith University.
Qualifications
PhD in Computer Science, FIEAust
Research Interests
My vision and focus is on developing computing technologies, AI technologies in particular, that extend and augment human capability.
I am an Artificial Intelligence expert with decades of experience, involving both research in academia and research commercialisation. I co-founded the successful AI company HIVERY in 2015, which is a CSIRO/Data61 spinout supported by the Coca-Cola Founders platform. In my early research career I developed, and supported the development of Gold and Silver medal winning AI algorithms in SAT(isfiability) and Planning.
My expertise sits across Machine Learning and Automated Reasoning, with a focus on Automated Planning and related optimised control in complex stochastic environments. I have successfully applied my expertise in a wide range of applications including in computer security, astronomical instrumentation, mobile robot control, and continental scale retail business optimisation.
Education/Academic qualification
Artificial Intelligence, PhD, Non-Markovian Phenomenon in Decision Theoretic Planning: A Study of Memory in Reward, Policies and Generalisation, The Australian National University
2003 → 2006
Award Date: 15 Dec 2006
External Scholarly Memberships and Affiliations
Fellow, Engineers Australia
25 Oct 2023 → …
Research student supervision
- Registered to supervise
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- 1 Similar Profiles
Collaborations and top research areas from the last five years
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Dagster: Parallel Structured Search
Burgess, M. A., Gretton, C., Milthorpe, J., Croak, L., Willingham, T. & Tiu, A., 27 Jun 2023, AAAI-23 Special Programs, IAAI-23, EAAI-23, Student Papers and Demonstrations. Williams, B., Chen, Y. & Neville, J. (eds.). AAAI Press, p. 16404-16406 3 p. (Proceedings of the 37th AAAI Conference on Artificial Intelligence, AAAI 2023; vol. 37).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › peer-review
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Image-to-image translation for wavefront and point spread function estimation
Smith, J., Cranney, J., Gretton, C. & Gratadour, D., 1 Jan 2023, In: Journal of Astronomical Telescopes, Instruments, and Systems. 9, 1, p. 19001 1 p.Research output: Contribution to journal › Article › peer-review
Open Access2 Citations (Scopus) -
Property Directed Reachability for Planning Revisited
Clifton, A. & Gretton, C., 2023, Proceedings of the 20th International Conference on Principles of Knowledge Representation and Reasoning, KR 2023. Marquis, P., Son, T. C. & Kern-Isberner, G. (eds.). Association for the Advancement of Artificial Intelligence, p. 156-166 11 p. (Proceedings of the International Conference on Knowledge Representation and Reasoning).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › peer-review
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Dagster: Parallel Structured Search with Case Studies
Burgess, M. A., Gretton, C., Milthorpe, J., Croak, L., Willingham, T. & Tiu, A., 2022, PRICAI 2022: Trends in Artificial Intelligence - 19th Pacific Rim International Conference on Artificial Intelligence, PRICAI 2022, Proceedings. Khanna, S., Cao, J., Bai, Q. & Xu, G. (eds.). 1 ed. Cham, Switzerland: Springer Science+Business Media B.V., p. 75-89 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 13629 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › peer-review
3 Citations (Scopus) -
Enhanced Adaptive Optics Control with Image to Image Translation
Smith, J., Cranney, J., Gretton, C. & Gratadour, D., 2022, Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence, UAI 2022. Association For Uncertainty in Artificial Intelligence (AUAI), p. 1846-1856 11 p. (Proceedings of the 38th Conference on Uncertainty in Artificial Intelligence, UAI 2022).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › peer-review
5 Citations (Scopus)
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AI Planning for Goal-Directed Orchestration
Gretton, C. (PI) & Xie, L. (CoI)
19/01/26 → 30/06/29
Project: Research
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Airbus 'Donut' - (AI)-based services for optimizing conditioned-based aircraft or satellite mission plans under uncertainty
Thiebaux, S. (PI) & Gretton, C. (CoI)
25/06/18 → 31/12/19
Project: Research