Charles Gretton
Charles Gretton is an AI researcher whose work spans automated planning, reasoning, machine learning and SAT solving. He earned an AI PhD at ANU in 2006, worked at NICTA, the University of Birmingham and Data61, and co-founded HIVERY in 2015, where he developed AI for continent-scale retail optimization. His 2008 paper describes gNovelty+, a solver that won a gold medal in the random category of the 2007 SAT competition; he also coauthored Dagster for AAAI-23 in 2023, and the AAAI proceedings published it in 2024. In 2025, he coauthored a neural-network method to estimate the Fried parameter from one wavefront-sensor image; as of October 2026, he is an ANU associate professor and Director of Attention and Innovation in the Integrated AI Network.
Timeline
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2003–2006
An ANU doctorate in AI
He completes a PhD in artificial intelligence at the Australian National University in 2006, with a thesis on non-Markovian phenomena in decision-theoretic planning.
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2006–2008
AI search at NICTA
He researches AI search and city-wide evacuation planning at NICTA's Brisbane lab from 2006 to 2008.
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2007
A gold medal SAT solver
He coauthors a 2008 paper that describes gNovelty+, a stochastic local-search procedure. The solver wins a gold medal in the random category of the 2007 SAT competition.
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2008–2011
Research at Birmingham
From 2008 to 2011, he is a research fellow at the University of Birmingham's Intelligent Robotics Lab, where he studies cognitive robots that can self-understand and self-extend.
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August 2011
Senior researcher at Data61
He becomes a senior researcher at Data61's NICTA lab in Canberra in August 2011, working on artificial intelligence and operations research.
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2015
Co-founding HIVERY
In 2015, he co-founds Red Analytics (HIVERY), a Data61 spinout, and develops AI for continent-scale retail optimization.
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2023–2025
Dagster and Fried estimation
He coauthors Dagster for the AAAI-23 special-programs event in 2023. The AAAI proceedings publish the paper in 2024; Dagster solves distributed SAT and model-counting problems in high-performance computing. In 2025, he coauthors a neural-network method to estimate the Fried parameter from a single wavefront-sensor image.
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As of October 2026
Associate professor at ANU
As of October 2026, he is an associate professor in ANU's School of Computing and Director of Attention and Innovation in the Integrated AI Network.
Career
- NowAustralian National UniversityAssociate professor
- NowIntegrated AI NetworkDirector of Attention and Innovation
- From 2015Red Analytics (HIVERY)Co-founder
- From 2011CSIROSenior researcher
- 2008–2011University of BirminghamResearch fellow
- 2006–2008National ICT Australia
Education
Sources and credits
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- Charles Gretton - The Australian National University
- Sylvie Thiebaux: Home Page
- Combining Adaptive and Dynamic Local Search for Satisfiability - The Australian National University
- Charles Gretton | ANU School of Computing
- Fried Parameter Estimation from Single Wavefront Sensor Image with Artificial Neural Networks
- Dagster: Parallel Structured Search



