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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

91 Scholarly works
12 Projects

HIGHLIGHTS

  • 2026

    Conference Proceedings

    Design and Evaluation of AR-Based Real-Time Feedback System for Kinesthetic Robot Teaching
    DOI: 10.1145/3800645.3812951
  • 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
  • 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

  • 2026

    Journal article

    Computing Planning Width: How Hard Is It, Really?
    DOI: 10.1609/icaps.v36i1.42840
  • 2026

    Conference Proceedings

    Planning as Goal Recognition: Deriving Heuristics from Intention Models
    DOI: 10.1609/icaps.v36i1.42832
  • 2026

    Book Chapter

    Mining Role-based Behavioral Patterns From Event Data for Effective Process Simulation
    DOI: 10.1007/978-3-032-28117-3_6
  • 2025

    Conference Proceedings

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

RECENT PROJECTS

  • 2021

    Research Contracts

    Evidence-Based Goal Recognition Using Process Mining Techniques
  • 2022

    Research Contracts

    Deep Learning Modelling for Hyperspectral Imagery

Acknowledgement of Country

We acknowledge Aboriginal and Torres Strait Islander people as the Traditional Owners of the unceded lands on which we work, learn and live. We pay respect to Elders past, present and future, and acknowledge the importance of Indigenous knowledge in the Academy.

Read about our Indigenous priorities

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Phone: 13 MELB ( 13 6352)

International: +61 3 9035 5511


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Victoria, 3010, Australia

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