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FlightLogik

NLP‑powered fleet sustainment analytics - simple, fast, and focused on real engineering workflows.

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Aerospace • NLP • Fleet Sustainment

About

FlightLogik is a research-led software focused on applying Natural Language Processing (NLP) and data analytics to aircraft sustainment. We turn unstructured maintenance data into actionable analysis - enabling deep dive search and risk identification to support proactive maintenance decisions at scale - helping save time for engineering maintenance teams.

Our aims:

  1. To assist in automated, efficient analyses, saving valuable engineer/maintainer time.

  2. To enable more optimal maintenance practices, supporting better logistical decision-making.

  3. Provide substantial improvements in aircraft availability and reduce maintenance costs.

Built with partners across Defence and Academia, our tools include NLP analysis of textual maintenance records and dashboards designed to help engineers make data-driven decisions.

Team

Dr Michael Scott
Dr Michael Scott
Research Fellow & Lead, FlightLogik

Digital engineering, Machine Learning, Natural Language Processing, and data analytics for aircraft sustainment. Leads the development of advanced tools for maintenance data analysis, risk identification and decision support. Experienced in research collaboration, translation and engineering innovation.

Assoc. Prof. Wim Verhagen
Assoc. Prof. Wim Verhagen
Associate Professor, Deputy Head of Department (Learning & Teaching), School of Engineering, RMIT University

Expert in aircraft maintenance, predictive maintenance, and decision support. Research focuses on data-driven and hybrid diagnostic/prognostic models for aircraft systems, and integrated decision support for maintenance planning and execution. Extensive industry collaboration and over 100 publications.

Prof. Pier Marzocca
Prof. Pier Marzocca
Director, Sir Lawrence Wackett Defence & Aerospace Centre, Professor of Aerospace Engineering, RMIT University

Internationally recognised for research in aerospace structures, aerodynamics, and digital engineering. Leads major defence and aerospace projects, with expertise in aeroelasticity, structural health monitoring, and AI for predictive maintenance. Author/co-author of 500+ papers and recipient of multiple awards.

CH
Chris Hodgen
Software Engineer

Full-stack developer and DevSecOps specialist focused on building robust, user-friendly research tools for engineering and defence applications. Drives the implementation of secure, scalable software solutions and bridges the gap between research and operational use.

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