Virtual Event - Research and Industry Day 2026 (RAID)
2026-06-09 10:00 - 14:30 (Australia/Melbourne) | Online – Register to be sent your link
In collaboration with Federation University, this free for all guests event is where Academia meets Industry to share the latest research in maintenance and asset management. Consisting of a series of virtual presentations by final year students undertaking maintenance and asset management research projects, it’s an opportunity for students to share their research and findings with Industry and for Industry to find out what is happening with the latest research and how this can be applied to your organisation. A number of students will present their research in rapid fire presentations with an opportunity for participants to ask questions after each presentation. Tune in for the whole day or just the presentations that are of interest.
It’s a good chance to discover:

Findings from latest research and studies
How it applies to what you do
What skills and experience can contribute to your success
How to stay ahead of your competition to remain viable

Click here to register

Program:

10.00am

Introductions (AMCouncil Anne Gibbs, and Professors Gopi Chattopadhay, Ivan Mareels and Joarder Kamruzzaman)

10.30am

Reliability Improvement and Fire Risk Mitigation on Conveyor Belts in Mining (Vipu John Mathew)

10.50am

Enhancing Train Software Reliability in Maintenance Stage – A Case Study on Train Stopping-Aid Function Failures (Haocheng Shi)

11.10am

Power system monitoring of Control Systems Assets for the Alumina production plant (Amr Hegab)

11.30am

Risk-based Decision Making in Maintenance Intervals of Light Rails in Australia (Muhammad Hussain)

11.40am

A Modified Total Cost of Ownership Framework for Fatigue Testing Equipment in Academic Laboratories (Adewale (Moses) Oyeku)

12.00pm

LUNCH

12.30pm

Reliability-Centred Digital Modernisation Framework for CNC and Metal-Forming Assets in Australian SME (Srinivas Polisetti)

12.50pm

Risk-Informed Life Extension Decisions Using Unstructured Maintenance Data (Venkata Sai Prashanth Sudula)

13.10pm

A Bayesian Decision-Making Framework for Life Extension of Long-Life Complex Assets under Data Scarcity (Ravi Welandge Don)

13.30pm

A Comparative Analysis of Key Performance Indicators for monitoring and preventive interventions in the Rail Sector (Dennis Noble)

13.50pm

Risk-Based Overall Equipment Effectiveness to Total Productive Maintenance: Translating Measurement into Action in Meat Manufacturing (Vickram Chundhoo)

14.20pm

Closing Words

Webinar - Systems Thinking for Land Maintenance: Integrating Digital Engineering, Analytics and Machine Learning for Sustainment Optimisation
2026-06-10 12:00 - 13:00
Modern sustainment environments are becoming increasingly complex, requiring organisations to move beyond siloed maintenance approaches toward integrated, enterprise-wide systems thinking. This webinar explores how Systems Thinking principles, combined with Digital Engineering (DE), Machine Learning (ML), and advanced analytics, can support smarter and more effective land maintenance and sustainment outcomes.
The session will present a high-level model-based approach to maintenance optimisation, demonstrating how data-driven decision-making and integrated digital ecosystems can improve operational effectiveness while maintaining technical integrity and assurance.
Key themes will include:

Applying Systems Thinking to maintenance and sustainment environments
Leveraging Digital Engineering and Machine Learning to improve maintenance decision-making
Reducing inefficiencies, delays, and wastage across sustainment processes
Enhancing visibility, governance, and enterprise integration through data and analytics
Balancing cost optimisation with technical integrity and capability assurance

The webinar will also discuss the growing importance of integrated engineering ecosystems, enterprise data alignment, and advanced analytics in shaping the future of Defence and complex asset sustainment.
Click here to register

Presenters:

Manas Dhiman is a Systems Engineer with a biomedical engineering background and experience across defence health capability, vehicle sustainment, and enterprise systems. She holds a degree in Biomedical Engineering and has developed her career working across complex, integrated Defence programs. She spent three years in Land Division supporting JP2060 Phase 3 – Deployable Health Facilities, contributing to the delivery and sustainment of deployable health capability. She also worked within PMSPO Bushmaster, supporting sustainment activities for a critical land capability. She subsequently moved into Engineering Technology and Materiel Logistics (ETML) Division, where she works as a Systems Engineer on Enterprise Resource Planning (ERP) programs, with responsibilities including standards management, systems integration, and assurance across enterprise-level capabilities. Her experience spans across systems engineering, standards governance, sustainment support, and capability integration across multidisciplinary teams, with a focus on delivering reliable and scalable solutions in complex operational environments.

Sandeep (Sunny) Jadhav is an accomplished Electrical Engineer and senior Defence leader with extensive experience in Army project delivery, through-life support, Defence reform, and continuous improvement. He is a Chartered Professional Engineer, Fellow of Engineers Australia, and Master Black Belt in Lean Six Sigma, with multiple master’s degrees and a strong publication record in systems engineering, organisational excellence, and data analytics. He is also an active educator, mentor, and advocate for STEM, agile thinking, and digital transformation across Defence, industry, and academia. Currently, he serves as Director Systems Engineering – CASG (ETML), having also led Digital Twins, IoT, and Defence analytics initiatives within Defence ERP.

Online Workshop 1 of 4 - Human-AI Boundary Framework for Asset Management Project (Knowing the Asset)
2026-06-25 12:00 - 13:00
AI is rapidly entering asset management — but where should it support decision-making, and where must humans remain responsible? This online workshop series invites AMCouncil members and asset management professionals to explore the Human–AI Boundary in asset management, sharing practical examples, concerns and insights across the asset lifecycle to help shape future AMCouncil guidance.
Online Workshop 1 of 4 – Human-AI Boundary Framework for Asset Management Project
Title: Knowing the Asset
Purpose: Explore how AI can help organisations understand what assets they have, what they know about them, and where asset information is incomplete.
Focus areas: Asset registers, drawings and manuals, inspection photos, field notes, work orders, document extraction, data cleansing, tacit knowledge capture, digital twins, knowledge graphs.
Core Question: “Can AI help us know our assets better, or will it amplify poor asset information?”
Participant Expectations: Attend one or more online workshops, respond to live polls, contribute questions or comments, complete a short post-session survey
Benefits to Participants: 1hr CPD point per online workshop, access to workshop notes, exposure to collective emerging AI-in-AM thinking, chance to shape AMCouncil guidance, opportunity to hear cross-sector examples
Click here to register
View Project Page

Register for other workshops in this series
This session is part of AMCouncil’s online workshop series exploring What Should AI Do in Asset Management — and What Must Humans Still Do?
Participants are welcome to attend one or more workshops. Each session will focus on a different asset management decision area and help shape AMCouncil’s Human–AI Boundary Framework for Asset Management.

Workshop 1: Knowing the Asset – Thursday 25 June – Register here
Workshop 2: Condition, Performance and Risk – Wednesday 1 July – Register here
Workshop 3: Planning, Prioritisation and Investment – Wednesday 15 July – Register here
Workshop 4: Work, Operations and Intervention – Thursday 30 July – Register here

Online Workshop 2 of 4 - Human-AI Boundary Framework for Asset Management Project (Condition, Performance and Risk)
2026-07-01 12:00 - 13:00
AI is rapidly entering asset management — but where should it support decision-making, and where must humans remain responsible? This online workshop series invites AMCouncil members and asset management professionals to explore the Human–AI Boundary in asset management, sharing practical examples, concerns and insights across the asset lifecycle to help shape future AMCouncil guidance.
Online Workshop 2 of 4 – Human-AI Boundary Framework for Asset Management Project
Title: Condition, Performance and Risk
Purpose: Explore AI in asset health, condition assessment, predictive maintenance, risk modelling and reliability decisions.
Focus areas: Asset health, deterioration, predictive maintenance, risk models, criticality, reliability
Core Question: “When AI predicts condition, performance or failure, what must humans validate before action is taken?”
Participant Expectations: Attend one or more online workshops, respond to live polls, contribute questions or comments, complete a short post-session survey
Benefits to Participants: 1hr CPD point per online workshop, access to workshop notes, exposure to collective emerging AI-in-AM thinking, chance to shape AMCouncil guidance, opportunity to hear cross-sector examples
Click here to register
View Project Page
Register for other workshops in this series
This session is part of AMCouncil’s online workshop series exploring What Should AI Do in Asset Management — and What Must Humans Still Do?
Participants are welcome to attend one or more workshops. Each session will focus on a different asset management decision area and help shape AMCouncil’s Human–AI Boundary Framework for Asset Management.

Workshop 1: Knowing the Asset – Thursday 25 June – Register here
Workshop 2: Condition, Performance and Risk – Wednesday 1 July – Register here
Workshop 3: Planning, Prioritisation and Investment – Wednesday 15 July – Register here
Workshop 4: Work, Operations and Intervention – Thursday 30 July – Register here

Online Workshop 3 of 4 - Human-AI Boundary Framework for Asset Management Project (Planning, Prioritisation and Investment)
2026-07-15 12:00 - 13:00
AI is rapidly entering asset management — but where should it support decision-making, and where must humans remain responsible? This online workshop series invites AMCouncil members and asset management professionals to explore the Human–AI Boundary in asset management, sharing practical examples, concerns and insights across the asset lifecycle to help shape future AMCouncil guidance.
Online Workshop 3 of 4 – Human-AI Boundary Framework for Asset Management Project
Title: Planning, Prioritisation and Investment
Purpose: Explore AI in renewal planning, capital prioritisation, maintenance optimisation, budget allocation and whole-of-life decision making.
Focus areas: Renewals, maintenance plans, capital allocation, whole-of-life cost, budget optimisation, trade-offs
Core Question: “Should AI optimise asset investment, or should it only show humans the trade-offs?”
Participant Expectations: Attend one or more online workshops, respond to live polls, contribute questions or comments, complete a short post-session survey
Benefits to Participants: 1hr CPD point per online workshop, access to workshop notes, exposure to collective emerging AI-in-AM thinking, chance to shape AMCouncil guidance, opportunity to hear cross-sector examples
Click here to register
View Project Page

Register for other workshops in this series
This session is part of AMCouncil’s online workshop series exploring What Should AI Do in Asset Management — and What Must Humans Still Do?
Participants are welcome to attend one or more workshops. Each session will focus on a different asset management decision area and help shape AMCouncil’s Human–AI Boundary Framework for Asset Management.

Workshop 1: Knowing the Asset – Thursday 25 June – Register here
Workshop 2: Condition, Performance and Risk – Wednesday 1 July – Register here
Workshop 3: Planning, Prioritisation and Investment – Wednesday 15 July – Register here
Workshop 4: Work, Operations and Intervention – Thursday 30 July – Register here

Webinar - ISO/IEC 19770-11: 2021 Systematic Review
2026-07-16 13:00 - 13:30
This presentation outlines the current 5-year systematic review of ISO/IEC 19770-11:2021, the global standard that defines how organizations are audited and certified for IT Asset Management (ITAM) systems. The primary objective of this session is to gather vital industry feedback on the relevance of the standard, potential gaps or risks, and whether a local AS/NZS adoption is needed to support ITAM certification in high-value environments. By participating, attendees will help shape the future of local auditing consistency and determine how closely ITAM should align with broader asset management standards like ISO 55001.
Click here to register

Ashley Choy has over 20 years of global experience in data analytics and visualization in the asset management and engineering sectors. She is a Certified Project Management Professional (PMI) and Certified Practitioner of asset management (CPAM). For the past 9 years till now, she has worked for Aurecon to help the digital transformation and increase operation efficiency by at least 30% of an average effort. She is keen on picking technology to develop efficient business processes and data analytics, big data processing, which in turn help improve the business continuity. She has been nominated as the technical committee on behalf of Asset Management Council on IT-015 (Software and System lifecycle) in Standard Australia.

Webinar - Data to decision making
2026-07-23 18:00 - 19:15
There is a common theme building around ensuring we have a clear line of sight from data to decision making.
The idea is that any data we collect needs to align with the core value drivers for the organisation and the associated decision points. Each presentation will speak to this concept from a different perspective.
Presentations:
Executive Engagement

Executive sponsorship and governance provide the ownership, accountability, and momentum needed to successfully deliver asset data transformation. Communicating the asset data model in business terms helps executives understand its value in improving investment decisions, reducing risk, and enhancing operational outcomes. Early stakeholder engagement, clear communication, and practical examples build confidence, support change adoption, and sustain commitment.

Ian Aldridge is a water industry professional with over 30 years of international experience. Throughout his career, he has led the lifecycle delivery of major water and wastewater infrastructure projects across the UK and Australia, developed asset management frameworks with a particular focus on asset data and information management, and supported utilities in improving operational performance and long-term asset sustainability. A passionate advocate for the value of high-quality data and information, Ian is well placed to share insights on asset management, digital transformation, infrastructure planning, and the critical role that data plays in delivering sustainable and resilient water services.

Leveraging asset portfolio data for integrated maintenance investment modelling

How do you turn millions of asset data records into confident maintenance decisions? Main Roads Western Australia manages a diverse infrastructure portfolio spanning roads, bridges, electrical assets, intelligent transport systems and associated infrastructure across one of the largest geographically spread road networks in the world. This presentation explores the critical role of data quality, completeness and timeliness in building a reliable long-term maintenance investment model. It shares the journey of transforming disparate data sources into asset-class-specific models that collectively provide a portfolio-wide view of future maintenance needs. The result is an integrated decision-support capability that translates complex asset information into practical, evidence-based insights for long-term maintenance planning and investments.

Lalinda Karunaratne leads the asset management modelling and analytics function at Main Roads Western Australia, with a multi-disciplinary team spanning modelling, analytics and geospatial intelligence to strengthen evidence-based maintenance planning and investment decision-making. With over 15 years’ experience across engineering, consulting and government, Lalinda specialises in asset lifecycle modelling, data governance and communicating complex technical data to support strategic decision-making. Lalinda is a Chartered Engineer (CPEng), Certified Practitioner in Asset Management (CPAM), and a Certified Asset Management Assessor (CAMA), with postgraduate qualifications in infrastructure asset management and pavement engineering.

Data to Dollars: Data from the Executive’s Viewpoint

Executives do not experience data as rows, tags, dashboards, or reports. They experience data as confidence, risk, timing, trade-offs, accountability, and enterprise value. This 15-minute executive overview introduces Data to Dollars: a practical framework for converting operational evidence into better decisions, better actions, and measurable outcomes across financial performance, safety, environmental stewardship, service reliability, and license to operate. The session also reframes data sustainability. Data are sustainable when they are anchored to gaming-resistant KPIs that signal the value being sought — as leading or lagging indicators. When the KPI is meaningful, the data required to support it become durable, governed, and decision-relevant. The message is simple: data are the difference between deciding and guessing. The executive challenge is to create a clear line of sight from operational evidence to enterprise value.

Drew Troyer is an asset management, reliability, and sustainable manufacturing executive with more than 35 years of industrial experience. A former senior asset management leader with Rio Tinto and Anglo American, he is now Executive Principal – Asset Management & Sustainable Manufacturing with Bootleg Advisors. He has authored more than 450 publications and is the founder and editor of Reliable Magazine. Drew holds an MBA from Oklahoma City University and a master’s degree in sustainability from Harvard University. His work helps executives connect operational evidence, risk, and decision architecture to measurable enterprise value.

Click here to register

Online Workshop 4 of 4 - Human-AI Boundary Framework for Asset Management Project (Work, Operations and Intervention)
2026-07-30 12:00 - 13:00
AI is rapidly entering asset management — but where should it support decision-making, and where must humans remain responsible? This online workshop series invites AMCouncil members and asset management professionals to explore the Human–AI Boundary in asset management, sharing practical examples, concerns and insights across the asset lifecycle to help shape future AMCouncil guidance.
Online Workshop 4 of 4 – Human-AI Boundary Framework for Asset Management Project
Title: Work, Operations and Investment
Purpose: Explore when AI should move form decision support into action.
Focus areas: Work orders, scheduling, field support, operations optimisation, automated intervention, human override
Core Question: “When should AI move from recommending work to triggering work?”
Participant Expectations: Attend one or more online workshops, respond to live polls, contribute questions or comments, complete a short post-session survey
Benefits to Participants: 1hr CPD point per online workshop, access to workshop notes, exposure to collective emerging AI-in-AM thinking, chance to shape AMCouncil guidance, opportunity to hear cross-sector examples
Click here to register
View Project Page

Register for other workshops in this series
This session is part of AMCouncil’s online workshop series exploring What Should AI Do in Asset Management — and What Must Humans Still Do?
Participants are welcome to attend one or more workshops. Each session will focus on a different asset management decision area and help shape AMCouncil’s Human–AI Boundary Framework for Asset Management.

Workshop 1: Knowing the Asset – Thursday 25 June – Register here
Workshop 2: Condition, Performance and Risk – Wednesday 1 July – Register here
Workshop 3: Planning, Prioritisation and Investment – Wednesday 15 July – Register here
Workshop 4: Work, Operations and Intervention – Thursday 30 July – Register here

Webinar - Global Asset Management Summit: Repeatable Success Stories from Washington DC
2026-08-13 08:00 - 09:00
Join us to explore Global Asset Management Summit: Repeatable Success Stories from Washington DC, web presentations building on the April 2026 Summit,
featuring:

Kerry Lowman is Asset Management Program Director, U.S. Army Corps of Engineers, Civil Works. He is a Civil Engineer with more than 17 years at the USACE, Civil Works. He has progressed from his original Structural Engineer position to Regional Asset Manager and is now Asset Management Program Manager. When asked to speak with us, Mr. Lowman was excited to share the 2026 US Army Engineering Research and Development Report on how the USACE Civil Engineers is improving how it estimates the likelihood of failure for its infrastructure, with recent reports highlighting a transition from expert-based assessments toward data-driven, statistical models to support risk-informed decisions. This will be provided in the VBAM format. Peter Dodgian formerly represented USACE.

Richard Dietz is Project Manager – Capital Asset Replacement Scheduling System at Office of the Chief Financial Officer for the Government of Washington, D.C. He has presented the measurable values and benefits from having 100 departments use the same system to report to the CFO, where more than US$22 billion is managed every year. By running the Asset Management system through the Chief Financial Office, there is a fiscal incentive to report assets accurately. With an increased amount of Asset Management efficiency and effectiveness, the department continues to develop gains for the City. Learn how AI and other tools and processes have continually improved Asset Management outcomes for the Office of the Chief Financial Officer of Washington, D.C. The DC Government commitment to continual improvement is itself a value and benefit to the tax payers, citizens, and guest of the United States Capital.

The presentations will be followed by a Discussion Panel with Kerry Lowman, Richard Dietz, Nick Phillips, Mike Bordenaro, and Peter Kohler to answer your questions!
Click here to register
