Organisation profile
Organisation profile
Welcome to the School of Computing. We have a strong foundation in the computing and information sciences at the ANU. We are a transformative centre for research in artificial intelligence and machine learning, computer systems and software, and theoretical foundations of computing. We span traditional computer science and modern data and computational science.
We are passionate about our mission to deliver high quality impact across research, education and engagement. Our intellectual agenda spans canonical and cutting-edge expertise in artificial intelligence and machine learning, computer systems and software, and theoretical foundations of computing.
We are driven to provide an excellent student experience by folding real-world problem-solving into our academic programs and providing opportunities for work-integrated learning, industry projects and internships.
We invite you to see how your expertise can be applied in our community, and join us to inspire a new generation of computing professionals and thought-leaders.
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Collaborations and top research areas from the last five years
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Differentiable optimisation for constrained three-dimensional shape design
Gould, S. (PI) & Campbell, D. (CoI)
27/01/26 → 26/01/29
Project: Research
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Decoding Defects: Unveiling Photon-Emitting Defect Structures in Materials for Quantum Sensors
Barnard, A. (PI) & Chang, S. L. (PI)
1/01/26 → 31/12/28
Project: Research
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GEM-Cu: Geodynamic Environments for Mineralisation of Cu (Copper)
Davies, R. (PI), Goes, S. (CoI), Ham, D. (CoI), Hoggard, M. (CoI), Sambridge, M. (CoI), Scealy, J. (CoI), Shephard, G. (CoI), Steen, J. (CoI), Taylor, J. (CoI) & Walls-Nichols, E. (CoI)
1/01/26 → 31/12/28
Project: Research
Research output
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A Security Analysis of CheriBSD and Morello Linux
Guzairov, D., Potanin, A., Kell, S. & Tiu, A., 2026, arXiv, 30 p. (CoRR).Research output: Working paper › Preprint
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Automated detection of algorithm debt in deep learning frameworks: an empirical study
Simon, E. I. O., Hettiarachchi, C., Potanin, A., Suominen, H. & Fard, F., May 2026, In: Empirical Software Engineering. 31, 3, p. 52-66Research output: Contribution to journal › Article › peer-review
Open Access -
Impact of nanoparticle morphologies on property prediction using explainable AI
Liu, T. & Barnard, A. S., 1 Feb 2026, In: Nanoscale Horizons. 11, 2, p. 517-524 8 p.Research output: Contribution to journal › Article › peer-review
1 Citation (Scopus)