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Email

nir.lipovetzky@unimelb.edu.au

Credentials


Position
Associate Professor
School of Computing and Information Systems
Education
PhD
Pompeu Fabra University
Masters (Coursework & Research)
Pompeu Fabra University
Bachelors Degree (Honours)
Pompeu Fabra University
ORCID

0000-0002-8667-3681

A/Prof Nir Lipovetzky

Associate Professor
School of Computing and Information Systems

87 Scholarly works
12 Projects

HIGHLIGHTS

  • 2026

    Journal article

    Applying organizational mining to discover agent systems from event data
    DOI: 10.1016/j.is.2025.102669
  • 2026

    Journal article

    MetaPilot: A DRL-based controller for dynamic adaptation to shifting scheduling objectives in HPC systems
    DOI: 10.1016/j.future.2025.108269
  • 2026

    Conference Proceedings

    Investigating the Impact of Robot Degree of Redundancy on Learning from Demonstration
    DOI: 10.1145/3757279.3785606
  • 2025

    Conference Proceedings

    On the Computational Complexity of Partial Satisfaction Planning
    DOI: 10.3233/FAIA251402
  • 2020

    Research Contracts

    Foundations and Analysis of AI
  • 2020

    Research Contracts

    Trusted Autonomous Systems Defence Cooperative Research Centre
  • 2020

    Internal Research Grant

    Trusted Autonomous Systems Defence Cooperative Research Centre
Nir Lipovetzky

Latest Honours,
Awards and Fellowships


2015
Outstanding (Best) Paper Award The International Conference on Automated Planning and Scheduling (ICAPS)
2013
Best Dissertation Award The International Conference on Automated Planning and Scheduling (ICAPS)

RECENT SCHOLARLY WORKS

  • 2025

    Journal article

    Process mining over sensor data: Goal recognition for powered transhumeral prostheses
    DOI: 10.1016/j.is.2025.102540
  • 2025

    Journal article

    State-Based Disassembly Planning
    DOI: 10.1609/aaai.v39i14.33600
  • 2025

    Journal article

    Planning in the Dark: LLM-Symbolic Planning Pipeline Without Experts
    DOI: 10.1609/aaai.v39i25.34855
  • 2025

    Journal article

    Chasing Progress, Not Perfection: Revisiting Strategies for End-to-End LLM Plan Generation
    DOI: 10.1609/icaps.v35i1.36119
  • 2025

    Conference Proceedings

    Agent System Event Data: Concepts, Dimensions, Applications
    DOI: 10.1007/978-3-031-75872-0_4
  • 2025

    Conference Proceedings

    Planning-Driven Programming: A Large Language Model Programming Workflow
    DOI: 10.18653/v1/2025.acl-long.621

RECENT PROJECTS

  • 2021

    Research Contracts

    Evidence-Based Goal Recognition Using Process Mining Techniques
  • 2022

    Research Contracts

    Deep Learning Modelling for Hyperspectral Imagery

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