Students

PhD Supervision

Current

  • Giacomo Rosa [2024 - present]; Exploration methods for Planning; co-supervised with A/Prof. Nir Lipovetzky and Dr. Jean Honorio.
  • Jiajia Song [2025 - present]; What Makes AI Planning Hard? From Complexity Analysis to Algorithm Design; co-supervised with A/Prof. Nir Lipovetzky and Dr. William Umboh.

Graduated

  • Parthasarathy Nadarajan [2025 at THI Germany]; Efficient Design and Validation of Vehicle Safety Systems based on Predicted Occupancy Grids and Statistical Learning; co-supervised with Prof. Michael Botsch @ THI.
  • Lakshman Balasubramanian [2025 at THI Germany]; Online Learning Methods for Vehicle Safety Applications.
  • Zihang Su [2024]; Bridging the gap between Process Mining and Goal-Plan-Intention Recognition First Employment; co-supervised with A/Prof. Artem Polyvyanyy, A/Prof. Nir Lipovetzky, and Dr. Nick. (CSRIO).
  • Andres Jaramillo [2023]; Reducing training effort in a non-stationary environment: hand gesture recognition using surface electromyography (sEMG).
  • Max Waters [2021]; Improving plan flexibility by reasoning about action orderings and instantiations. Nominee for best student paper @ AAMAS'14.
  • Peta Masters [2019]; Intention recognition and deception in path planning; Best Student Paper Award @ AAMAS’17.
  • Nitin Yadav [2014]; Behavior Composition Optimisation; Nomination by RMIT CSIT for national CORE best PhD award; Best Paper Award at JELIA'12.
  • Dhirendra Singh [2011]; Learning Plan Selection for BDI Agent Systems; Best PhD thesis in CS at RMIT University
  • Lavindra Priyalal de Silva [2010]; Planning in BDI Agent Systems.
  • Fabio Patrizi [2009; Sapienza Universita’ di Roma; as correlatore (assistant supervisor)]; Simulation-based Techniques for Automated Service Composition.

Masters/Honours

  • Benjamin Grayland [2025]; Growing and simulating Wireworld circuits using neural cellular automata
  • Harry Porter [2025]; Using Answer Set Programming for Liner Shipping Network Design
  • Romarico M. Vargas Jr. [2022]; University Program Planner Using Answer Set Programming.
  • Benhao Qu [2021]; Decoupling regression and deadend reasoning from plan search in FOND planning.
  • Yifan Wang [2020]; Benchmarking FOND planning system.
  • Ujjwal Batra [2019; co-supervised]; Automated planning for strategy generation in dynamic domains.
  • Adam Young [2019; co-supervised], Path planning for agent-based simulation on dynamic road networks.
  • Matthew McNally [2017]; Enhancing agent systems with logic-based belief reasoning.
  • Peta Masters [2014]; Path-planning with deadlines.
  • Max Waters [2013; co-supervised]; Coverage and lookahead for Intention selection in BDI Systems.
  • Abhijeet Anand [2011]; Path-planning with incomplete information in dynamic environments.
  • Nitin Yadav [2009]; Implementation and Analysis of Behaviour Composition via Simulation.