Key dates and participating speakers
Tuesday 9 to Thursday 11 September 2025
Edinburgh International Conference Centre (EICC), UK
| Key dates | |||
| Submission of proposals for structured sessions | Still accepting (subject to availability) | ||
| Deadline for structured session abstract submission | Still accepting (subject to availability) | ||
| Deadline for general abstract submission (not more than 200 words) | Still accepting (subject to availability) | ||
| Notification of abstract acceptance (not later than) | 28 February 2025 | ||
| Deadline for submission of full-length papers (to ensure publication of your paper you must adhere to this date; any papers submitted after this date will not be included) | 9 May 2025 | ||
| Notification of full-length paper acceptance (not later than) | 23 May 2025 | ||
| Early registration | 6 June 2025 | ||
| Speaker registration | 6 June 2025 | ||
| Plenary speakers |
| Speakers | Title | ||
| Professor M Behzad | Using different condition monitoring techniques for fault diagnosis in industries | ||
| Professor M Gupta | Past, present and future of sustainable, lightweight and eco-friendly magnesium based materials in engineering and biomedical applications | ||
| Dr M Khan | Health monitoring of 3D printed structures: complexities and challenges | ||
| Professor T R Lin | Fault diagnostics and prognostics of power transmission train of rotating machinery | ||
| Professor R Martinek | Signal Lab – Artificial intelligence and advanced signal processing in applied research: real-world applications from industry to space | ||
| Professor S Zhong | Optical and vision-based measurement methodologies and systems for condition monitoring | ||
| Distinguished overview speakers |
| Speakers | Title | ||
| Professor B Basu | Quantum machine learning for condition monitoring | ||
| Professor J Bortman | Towards effective machine health monitoring | ||
| Dr E Juuso | Intelligent condition monitoring for process and production control | ||
| Professor H R Karimi | Intelligent soft sensing and prediction for industrial applications | ||
| Dr S Kirlangic | Applications of both ultrasound and vibration-based techniques relevant to civil engineering | ||
| Dr J Lacaille | Compare engines objectively | ||
| Dr M G Lipsett | Condition monitoring for complex mechatronic systems | ||
| Professor I Meglinski | Advancing non-destructive optical diagnosis of dry blood films using polarised light and orbital angular momentum | ||
| Professor P Niewczas | Cost-effective distributed photonic sensing for monitoring, control and protection of the power network | ||
| Professor J Zhong | Structural multi-dimensional dynamic parameters monitoring based on displacement-sensitive fringe pattern | ||
| Professor A Zippo | Decoding complexity: diagnostic and prognostic approaches in biological and mechanical systems | ||
| Structured session organisers |
| Speakers | Title | ||
| Professor M Behzad | CM case studies in industries | ||
| T Bradshaw | Application of acoustic emission for the condition monitoring of critical assets | ||
| Dr S Ganeriwala | Condition monitoring methods and technologies | ||
| Professor L Gelman | General condition monitoring | ||
| Professor A Hope | Vibration monitoring and analysis | ||
| Dr E Juuso | Advanced signal processing and diagnostics in condition monitoring | ||
| Dr M G Lipsett | Condition monitoring using inspection robot systems | ||
| S Mills | Condition monitoring management, training and certification | ||
| Condition monitoring diagnostics and prognostics | |||
| Dr A Rahbarimanesh | Data-driven and physics-based modelling for condition monitoring and management of industrial assets | ||
| Professor S Yang | Fault diagnosis of offshore wind turbines | ||
| Condition monitoring fault diagnostics | |||
| Professor A Zippo | Advanced signal processing and modelling of complex systems | ||
For further information contact: Events and Awards Department, The British Institute of Non-Destructive Testing,
Midsummer House, Riverside Way, Bedford Road, Northampton NN1 5NX, UK.
Tel: +44 (0)1604 438300; Email: conf@bindt.org; Web: www.cm-mfpt.org
