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Dr Adam Hepworth

Dr Adam Hepworth

Visiting Fellow

Doctor of Philosophy (PhD) in Computer Science (University of New South Wales)

Master of Science (MS) in Operations Research (United States Naval Postgraduate School)

Master of Logistics and Supply Chain Management (University of South Australia)

Graduate Diploma in Scientific Computation (United States Naval Postgraduate School)

Bachelor of Science (BSc) in Mathematics (University of New South Wales)

UNSW Canberra
School of Systems & Computing

Expert, Global Commission on Responsible Artificial Intelligence in the Military Domain (GC REAIM)

Technical Director Artificial Intelligence, Robotic and Autonomous Systems Implementation and Coordination Office (RICO), Australian Army

Lieutenant Colonel Adam Hepworth, PhD, is the Australian Army's Technical Director for Artificial Intelligence. In this role, he leads the advancement of AI and autonomy initiatives within the Robotic and Autonomous Systems Implementation and Coordination Office (RICO), focusing on human-cognitive augmentation, autonomous systems, AI-enabled decision-making, human-machine teaming, and swarming. 

Throughout his career in the Australian Defence Force, Adam has held roles that span advanced technology and decision-science portfolios. Adam has been appointed as an Expert on the Global Commission on Responsible Artificial Intelligence in the Military Domain (GC REAIM). As a current Visiting Fellow at the University of New South Wales, School of Systems and Computing, Adam's research endeavours aim to innovate AI systems design, with a keen interest in swarm shepherding for human-swarm teaming, activity recognition, and behaviour prediction.

 
E-mail
a.j.hepworth@unsw.edu.au
  • Book Chapters | 2021
    Hepworth AJ, 2021, 'Activity Recognition for Shepherding', in Shepherding UxVs for Human-Swarm Teaming: An Artificial Intelligence Approach to Unmanned X Vehicles, Springer International Publishing, pp. 131 - 164, http://dx.doi.org/10.1007/978-3-030-60898-9_7
  • Journal articles | 2024
    Hepworth AJ; Hussein ASM; Reid DJ; Abbass HA, 2024, 'Contextually aware intelligent control agents for heterogeneous swarms', Swarm Intelligence, http://dx.doi.org/10.1007/s11721-024-00235-w
    Journal articles | 2023
    Hepworth AJ; Hussein A; Reid DJ; Abbass HA, 2023, 'Swarm analytics: Designing information markers to characterise swarm systems in shepherding contexts', Adaptive Behavior, 31, pp. 323 - 349, http://dx.doi.org/10.1177/10597123221137090
    Journal articles | 2022
    Hepworth AJ; Baxter DP; Abbass HA, 2022, 'Onto4MAT: A Swarm Shepherding Ontology for Generalized Multiagent Teaming', IEEE Access, 10, pp. 59843 - 59861, http://dx.doi.org/10.1109/ACCESS.2022.3180032
    Journal articles | 2021
    Hepworth AJ; Baxter DP; Hussein A; Yaxley KJ; Debie E; Abbass HA, 2021, 'Human-Swarm-Teaming Transparency and Trust Architecture', IEEE/CAA Journal of Automatica Sinica, 8, pp. 1281 - 1295, http://dx.doi.org/10.1109/JAS.2020.1003545
    Journal articles | 2020
    Hepworth A; yaxley K; Baxter D; Joiner K; Abbass H, 2020, 'Tracking Footprints in a Swarm: Information-Theoretic and Spatial Centre of Influence Measures', , http://dx.doi.org/10.36227/techrxiv.12834002
  • Working Papers | 2020
    Hepworth A; Yaxley K; Baxter DH; Joiner K; Abbass H, 2020, Tracking Footprints in a Swarm: Information-Theoretic and Spatial Centre of Influence Measures (submitted, preprint online), IEEE, http://dx.doi.org, https://www.techrxiv.org/articles/preprint/Tracking_Footprints_in_a_Swarm_Information-Theoretic_and_Spatial_Centre_of_Influence_Measures/12834002/1
  • Preprints | 2022
    Hepworth A; Hussein A; Reid D; Abbass H, 2022, Contextually Aware Intelligent Control Agents for Heterogeneous Swarms, , http://dx.doi.org/10.21203/rs.3.rs-2293295/v1
    Preprints | 2022
    Hepworth A; Hussein A; Reid D; Abbass H, 2022, Contextually Aware Intelligent Control Agents for Heterogeneous Swarms, , http://dx.doi.org/10.48550/arxiv.2211.12560
    Preprints | 2022
    Hepworth A; Hussein A; Reid D; Abbass H, 2022, Swarm Analytics: Designing Information Markers to Characterise Swarm Systems in Shepherding Contexts, , http://dx.doi.org/10.1177/10597123221137090
    Preprints | 2022
    Hepworth AJ; Baxter DP; Abbass HA, 2022, Onto4MAT: A Swarm Shepherding Ontology for Generalised Multi-Agent Teaming, , http://dx.doi.org/10.1109/ACCESS.2022.3180032
    Conference Papers | 2021
    Baxter D; Hepworth A; Joiner K; Abbass H, 2021, 'On the Premise of a Swarm Guidance Ontology for Human-Swarm Teaming', Baltimore, United States, presented at 65th Annual Conference of Human Factors and Ergonomics Society (HFES21), Baltimore, United States, 04 October 2021 - 08 October 2021, http://dx.doi.org/10.1177/1071181322661541
    Conference Papers | 2020
    Hepworth AJ; Yaxley KJ; Baxter DP; Joiner KF; Abbass H, 2020, 'Tracking Footprints in a Swarm: Information-Theoretic and Spatial Centre of Influence Measures', in 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020, pp. 2217 - 2224, http://dx.doi.org/10.1109/SSCI47803.2020.9308537
    Conference Papers | 2019
    2019, 'Baselining the whole-of-force capability and capacity of the Australian Defence Force', in El Sawah, S. (ed.) MODSIM2019, 23rd International Congress on Modelling and Simulation., Modelling and Simulation Society of Australia and New Zealand, presented at 23rd International Congress on Modelling and Simulation (MODSIM2019), http://dx.doi.org/10.36334/modsim.2019.b3.peacock
    Theses / Dissertations | 2017
    Hepworth A, 2017, A multi-armed bandit approach to superquantile selection, http://hdl.handle.net/10945/55620
    Conference Papers | 2017
    Hepworth AJ; Atkinson MP; Szechtman RS, 2017, 'A sequential elimination approach to value-at-risk and conditional value-at-risk selection', in Chan V; DAmbrogio A; Zacharewicz G; Mustafee N (eds.), Proceedings - Winter Simulation Conference, Institute of Electrical and Electronics Engineers (IEEE), Las Vegas, Nevada, USA, pp. 2324 - 2335, presented at Top Accessed Articles 2017 Winter Simulation Conference (WSC), Las Vegas, Nevada, USA, 03 December 2017 - 06 December 2017, http://dx.doi.org/10.1109/wsc.2017.8247963

The Stephen Fester Prize, UNSW Canberra, 2023