Key dates and participating speakers
Tuesday 12 to Thursday 14 September 2023 Park Inn by Radisson Hotel, Northampton, UK
| Key dates | |||
| Submission of proposals for structured sessions | 15 January 2023 | ||
| Deadline for structured session abstract submission | 24 March 2023 | ||
| Deadline for general abstract submission (not more than 200 words) | 24 March 2023 | ||
| Notification of abstract acceptance (not later than) | 7 April 2023 | ||
| 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) | 26 May 2023 | ||
| Notification of full-length paper acceptance (not later than) | 9 June 2023 | ||
| Early registration | 4 August 2023 | ||
| Speaker registration | 4 August 2023 | ||
| Plenary speakers |
| Speakers | Title | ||
| Details to follow | |||
| Keynote Speakers |
| Speakers | Title | ||
| Professor R Smid | Model-based condition monitoring | ||
| Structured session organisers |
| Speakers | Title | ||
| Dr L Alboul | Digital and assistive health technologies: Developments, innovations and opportunities | ||
| Dr S Ganeriwala | To be confirmed | ||
| Professor L Gelman | Condition monitoring of local damage | ||
| S Greenfield | Lubricant analysis, quality and debris monitoring | ||
| Professor F Gu | To be confirmed | ||
| Professor A Hope | Vibration monitoring and analysis | ||
| Dr E Juuso | Advanced signal processing and diagnostics in condition monitoring | ||
| Professor L Kuravsky | Trained structures and statistical methods in condition monitoring | ||
| Dr J Liska | Condition monitoring and diagnostics of machine components | ||
| S Mills | Condition monitoring training and certification | ||
| Dr M Papaelias | Effective condition monitoring for transport and energy | ||
| Professor F Pellicano and Dr A Zippo | Signal processing and modelling of complex systems | ||
| Dr A Rahbarimanesh | Application of data-driven and physics-based modelling for asset condition monitoring | ||
| Professor R Serra | To be confirmed | ||
| Professor S Sun and Professor G Yu | Dynamic analysis, monitoring and defect detection | ||
| M Tiboni | Condition monitoring and AI methods | ||
| Dr L Wang | To be confirmed | ||
| Professor N Wang | Visual servo control of unmanned marine vehicles | ||
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: cm_mfpt@bindt.org; Web: www.cm-mfpt.org
