The Ron Halmshaw Award
Open award for members and non-members, Publications Award
Award criteria
Purpose: The Ron Halmshaw Award is awarded for the best paper published in Insight in the preceding year, on any aspect of industrial radiography or radiology.
Details of the award: The prize is in the form of a certificate, a fixed award sum (£350) by cash from the Ron Halmshaw Fund and an invitation to the NDT or CM Annual Conference Dinner with one night's accommodation.
Eligibility: Anyone who has published a radiography or radiology paper in Insight will be considered.
Frequency: Yearly, if a suitable candidate is deemed.
Nomination arrangements: Automatic. All members of the Institute’s NDT Technical Committee will be invited to submit nominations for the award.
Entries: Entries submitted (on a form to be made available by the Institute) will be sent to the Secretary of the Institute.
Awarding arrangements: In January each year, a memo is issued to the judging panel, containing voting instructions, marking sheet, shortlist of name(s), paper title, issue, month and page number and a voting form embossed with the Institute seal. The deadline for return to the Secretariat is 31 March. A judging panel of three is appointed by the NDT Technical Committee.
In the interest of achieving fair, bias-free results, a system is operated that requires each panel member (any listed authors excepted) to vote anonymously to the Awards Secretary, who is responsible for totalling up the points awarded and notifying the winner to the Secretary.
Publicity: The award will be fully reported in Institute publications and the Secretariat will issue details in a press release to the technical and engineering institutional press.
Presentation: The prize will normally be presented at the NDT Annual Conference, though another appropriate Institute event may be chosen if necessary.
Committee: NDT Technical Committee.
Winners
2025 winners: Dr Nick Brierley and Dr Robert Culver
The 2025 winners are Dr Nick Brierley and Dr Robert Culver for their paper, titled: ‘Length-scale-dependent evaluation of detection reliability for NDT image data’, which appeared in Insight, Vol 67, No 4, pp 203-207, April 2025 (DOI: 10.1784/insi.2025.67.4.203).
Dr Nick Brierley heads up the Research and Development (R&D) team at Diondo GmbH, a leading manufacturer of industrial X-ray computed tomography (CT) systems. Prior to joining Diondo in 2020, he led the X-ray imaging activities at the Manufacturing Technology Centre (MTC) in Coventry. Until recently, he served as the inaugural Chair of the British Institute of Non-Destructive Testing (BINDT)’s NDE 4.0 Working Group. He holds a doctorate in non-destructive testing (NDT) from Imperial College London and an MA from the University of Cambridge.
Dr Robert Culver is a Sensing & Technology Integration Engineer working for BAE Systems FalconWorks. He has over nine years of industrial interdisciplinary R&D experience spanning NDT, computer vision, photonics and quantum sensing. His work focuses on emerging technologies and their practical integration into next-generation sensing systems.
Past winners:
1995 J-E Holmström
1996 Dr E A Birt
1997 A B Wooldridge, Dr R K Chapman, Dr G A Georgiou, I Munns and G S Woodcock
1998 Dr S Ekinci, N Bas, M Aksu, A Yıldırım, M Bingöldag, T Kurtcebe, M Dogruöz, S Sarıçam and N Yılmaz
1999 A McNulty, J McNab and W K J Greenwood
2000 P R Vaidya
2001 R R da Silva, M H S Siqueira, L P Calôba and J M A Rebello
2002 A G Vincent, V Rebuffel, R Guillemaud, L Gerfault and P Y Coulon
2003 Dr G A Georgiou and Mr C R A Schneider
2004 S Smalley and G Wilson
2005 D Mery, D Hahn and N Hitschfeld
2006 Dr G-R Jaenisch, C Bellon, U Samadurau, M E Zhukovskiy and S V Podoliako
2007 V Rebuffel and J-M Dinten
2008 S F Burch and B A Stow
2009 Q Shen, J Gao and C Li
2010 K Arunmutha, P Arun Kumar, T Saravanan, J Philip, T Jayakumar and B Raj
2011 Dr S F Burch
2012 V Riffo and D Mery / J Guo, L Zeng, B Li and W Yu
2013 X Zhao, J-J Hu, T Yang and F Wang
2014 W Gao and Y H Hu
2015 Ge Lijing, Li Linsheng, Xie Jialong and Lin Guoxiang
2016 Changying Dang, Jianmin Gao, Zhao Wang, Yulin Xiao and Yalin Zhao
2017 Domingo Mery, Vladimir Riffo, Irene Zuccar and Christian Pieringer
2018 Stefano Ridolfi
2019 Johann Kastner, Christian Gusenbauer, Bernhard Plank, Jonathan Glinz and Sascha Senck
2020 Andreas Michael Stock, Gabriel Herl, Professor Dr Tomas Sauer and Professor Dr-Ing Jochen Hiller
2021 Mahdi Mirzapour, Amir Movafeghi and Effat Yahaghi
2022 Abdel Rahman Dakak, Valérie Kaftandjian, Philippe Duvauchelle and Patrick Bouvet
2023 Dr Ross Hanna, Dr Mark Sutcliffe, David Carswell, Professor Peter Charlton and Dr Stephen Mosey
2024 Dr Shant Kenderian, Dr Joseph (Toby) Case, Paul M Adams and Anita Gregorian
