IES Technical Talk held on Thu 27 Nov 2025 @ PSB Academy Marina Square
With the rapid progress of the artificial intelligence and aerospace industries, experts from both domain have been actively exploring ways to collaborate and bridge the gap between both sectors. The Institution of Engineers, Singapore (IES) Aerospace & Aviation Engineering Technical Committee (AAETC) organized a talk on Thu, 27 Nov 2025 with the theme “AI and Digitalization in Singapore’s aerospace industry” at PSB academy. Speakers from industry cornerstones such as CAAS, A*Star, SIA Engineering company (SIAEC) and ST Engineering Aerospace (STEngg Aero) gathered together to share insights on the changing landscape in the aerospace sector, as well as AI’s part in molding it. Darrel from Innoforge Ventures, as the secretary of AAETC and IES Council Member served in the organizing committee for this event.
The talk focused on the transformative role of AI and digitalization in the Maintenance, Repair and Overhaul (MRO) sector, within the aerospace industry and was well attended by around 100 participants.
The importance of IES
IES aims to nuture a community of enthusiastic next-gen engineers that are keen to championthe importance of engineering for the benefit of society. IES empowers this vision by uplifting professional standards, deepening lifelong learning, and supporting engineers via collaboration, innovation, and a strong sense of community.
- Introduction to IES-Incubator and Accelerator (IES-INCA)
Andy Wee, General Manager, IES Incubator & Accelerator (INCA)
Andy Wee is the general manager for IES-INCA, an incubator of IES that specialises in deep tech acceleration. The mission of IES-INCA is to support science, technology and engineering start-up ventures entering the market, and to create a spirited entrepreneur community that reshapes lives through innovation and technology. IES-INCA has supprted over 32 companies since 2019 and has been actively participating in tech events, as well as established good relationships with local partners and in the global market, strengthening their position as a well trusted collaborator.
2. Artificial Intelligence in MRO (Maintenance, Repair & Overhaul)
David So, SVP Base Maintenance, SIA Engineering Company (SIAEC)
Next up was David So, who introduced SIAEC’s range of services, which include airframe and line maintenance, as well as component and engine support. Given the nature of SIAEC’s operations, it is crucial for the organisation to have timely information and the capability to predict supply chain constraints in order to prevent delays and inefficiencies.
SIAEC employs AI-driven machine vision to conduct checks for both airframe maintenance and manpower productivity. The system compares collected data with historical datasets before optimising resource allocation through predictive maintenance and manpower reallocation. Ultimately, SIAEC aims to use AI to enhance productivity rather than replace human talent.
3. Singapore’s R&D Strategy to Uplift our Aerospace Industry
Nelson Low, Director Singapore Aerospace Programme, A*STAR
Nelson Low explained how A*Star has been a cornerstone in the aerospace industry. With collaborations like the Singapore Aerospace Programme, A*Star has recruited a substantial amount of talented individuals to help support the growing aerospace industry within singapore. Programs such as the AI Centre of Excellence for Manufacturing (AIMfg), National Additive Manufacturing Innovation Cluster, and the National Robotics Programme strives to transform the aerospace industry by deploying productivity- enhancing technologies, next-gen manufacturing and MRO processes, and future ready capabilities in sustainable and emerging tech.
4. Leveraging AI and Robotics in ST Engineering Commercial Aerospace
Choon Kean Fatt, Director Smart Analytics, ST Engineering Aerospace
Mr Choon Kean Fatt then showcased how ST Engineering Aerospace utilises AI, digitalisation, and automation across various processes, such as deploying Production Planning Control Systems (PPCs) for engines and visual information systems (ENVIS) in MRO operations, and using automated tools like Pick-and-Screen Sorters and Multi-Spindle Drilling systems powered by machine learning and computer vision.
Such robotic systems are essential for ST Engineering due to the high precision required in component manufacturing and inspection. For example, the Multi-Spindle Drilling system achieves levels of accuracy that would be difficult for manual operations to sustain, while robotic arms provide far more stable footage during engine inspections than a handheld camera managed by a human engineer.
ST Engineering aims to automate tasks where AI and robotics are better suited due to their mechanical precision and consistency. This shift enables the organisation to boost throughput, reduce human error, and enhance overall operational efficiency, while allowing human engineers to focus on higher-value tasks.
5. AI-Powered Technical Documentation Management
Max Lorenz, CTO, Soji.AI
Max Lorenz expanded on this by introducing Soji.AI, an AI platform that consolidates, regulates, and organises data efficiently. Soji.AI can manage multiple functions, including predictive maintenance planning, supply chain and parts logistics optimisation, and compliance management. It serves as a compelling example of how AI and digitalisation can reduce human error by simplifying and streamlining processes that would traditionally require significantly more time and manpower.
6. Panel Discussion
Moderator: David So (SIAEC)
Panelists: Dr Ng Hsiao Piau, Director (Data & Performance), Nelson Low (A*Star), Choon Keat Fatt (STAero), Max Lorenz (Soji.AI)
Following each individual speaker’s presentation, an open panel discussion was conducted where panelists and the audience exchanged insights and viewpoints on how AI would potentially impact the Aerospace industry. Key points brought up included:
- Decision making: The technology for AI to conduct self decision making is already there, it is up to us engineers to deploy and integrate it into our own systems, such as maintenance planning, defect checking and formulating repair schemes.
- Regulation: Even if the technology for AI improves drastically, its reliability may not meet the authority’s requirement and standards, resulting in wasted potential.
- Productivity: AI should be carefully fine tuned to our own operational parameters, not vice versa, in order to receive the production gains we are looking for. For example, AI cannot aid in productivity if an engineer in MRO is missing a part that delays their work by two weeks, but AI can aid by preventing the lack of inventory prior to maintenance.
As the panel drew to a close, both the panelists and audience agreed on one conclusion: the partnership between AI and the aerospace sector is inevitable. It is therefore essential that we put in the right effort to ensure its implementation delivers safe, reliable, and impactful results.
Closing reflections
“The AI era is just beginning — and so is our journey.”
AI is advancing at a rapid pace, with new trends and technologies emerging within weeks or even days. As a renowned international aerospace hub, Singapore must stay at the forefront of these developments and integrate new innovations both quickly and effectively. Innovation remains our driving force, the engine that keeps us competitive, resilient, and ready to serve.
In closing, we would like to express our heartfelt thanks to all the presenters and their organisations for supporting IES and sharing your insights today. Our appreciation also goes to the organising committee for their outstanding work in putting this event together, and of course to our sponsors — PSB Academy and SkillsFuture — for their continued partnership and support. Thank you all for being here and contributing to the success of this session.
