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Email

kevin.otto@unimelb.edu.au

Credentials


Position
Professor in Manufacturing & Industrial Systems De
Department of Mechanical Engineering
Education
Doctorate
California Institute of Technology
ORCID

0000-0003-4961-7696

Prof Kevin Otto

Professor in Manufacturing & Industrial Systems De
Department of Mechanical Engineering

216 Scholarly works
4 Projects

HIGHLIGHTS

  • 2026

    Journal article

    Identifying Opportunities to Repurpose Decommissioned Products Using Large Language Models
    DOI: 10.1115/1.4070518
  • 2026

    Journal article

    Identifying feasible repurposing opportunities in decommissioned complex systems
    DOI: 10.1016/j.resconrec.2026.108867
  • 2026

    Journal article

    Robust energy centric machine learning assisted fault detection & diagnosis: an extrusion case
    DOI: 10.1007/s10845-026-02810-w
  • 2026

    Journal article

    Sufficiency-based absolute sustainability position assessment for passenger vehicles
    DOI: 10.1016/j.cesys.2026.100421
  • 2025

    Research contracts (non-grants)

    Performance Audit Risk Assessment
  • 2024

    Research contracts (non-grants)

    Project 4: AI4Design: Towards Multi-Domain General-Purpose Design
  • 2022

    Research grants (other domestic)

    Educational Institution Post-Consumer Plastic Packaging to Additive Manufacturing
Kevin Otto

Latest Honours,
Awards and Fellowships


2019
The Denny Medal for Best Paper of Year Institute of Marine Engineering, Science and Technology
2013
United Technologies Corporate Appreciation Award for Net Zero Building Stock Adoption Modeling United Technologies Corporation
2013
Fellow of the American Society of Mechanical Engineers (ASME)
1997
Top 100 inventions of the year for centerless grinding machine error diagnostics R&D World

RECENT SCHOLARLY WORKS

  • 2025

    Journal article

    Repurposing as a Decommissioning Strategy for Complex Systems: A Systematic Review
    DOI: 10.1115/1.4067090
  • 2025

    Journal article

    A Repurposable Attribute Basis for Identifying Repurposing Opportunities in Decommissioned Products
    DOI: 10.1115/1.4066127
  • 2025

    Journal article

    A data screening framework before engaging machine learning in manufacturing
    DOI: 10.1007/s10845-025-02705-2
  • 2025

    Conference Proceedings

    Comparative Study of LIME, SHAP and SHAP Interaction Quantification for Improved FMEA Development in Energy-Based Maintenance
    DOI: 10.1109/IEEM63636.2025.11357827
  • 2025

    Conference Proceedings

    Addressing Unbalanced Data Through Generative AI in High-Pressure Die Casting Fault Diagnosis
    DOI: 10.1109/IEEM63636.2025.11357723
  • 2025

    Conference Proceedings

    Essential Sensors and Fault Detection Algorithms for Manufacturing Processes
    DOI: 10.1109/IEEM63636.2025.11357681

RECENT PROJECTS

  • 2024

    Research grants (other domestic)

    Model Predictive Control and Condition Monitoring for Active Vibration Control of Machine Tools

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