Len Gelman, PhD, Dr. of Sciences (Habilitation) joined University of Huddersfield as a Professor, Chair in Signal Processing/Condition Monitoring and Director of Centre for Efficiency and Performance Engineering, in 2017 from Cranfield University, where he worked as Professor and Chair in Vibro-Acoustical Monitoring since 2002.

Len developed novel condition/health monitoring technologies for aircraft engines, gearboxes, bearings, turbines, compressors and composite/concrete materials and structures.

Len published more than 250 publications, 17 patents and is Co-Editor of 14 Springer books.

He is Fellow of: British Institute of NDT, International Association of Engineers and Institution of Diagnostic Engineers, the Executive Director, the International Society for Condition Monitoring, the Editor-in-Chief, the International Journal of Engineering Sciences (SCMR), Editor-in-Chief, IAENG International Journal of Computer Science and the Editor-in-Chief, the International Journal on Condition-Based and Predictive Maintenances the General Chair, annual International Condition Monitoring Conferences, 2007-2026, Honorary Co-Chair, annual World Congresses of Engineering, Co-Chair, the International Congress COMADEM 2019, Chair, International Scientific Committee of Third World Congress, Condition Monitoring and Co-Chair of the Fourth World Congress, Condition Monitoring.

Len the Editor-in-Chief of the book series Condition Monitoring, Cooxmoor, Oxford, UK, Editor, Journal of Asian Scientific Research, the Associate Editor, International Journal Sensors, Associate Editor, International Journal Signal, Image and Video Processing, Springer, and Associate Editor, International Journal of Complex Engineering Systems.

He was the General Chair, the First World Congress, Condition Monitoring, Chair, the Second World Congress, Engineering Asset Management and Chair, International Committee of Second World Congress, Condition Monitoring.

Len is Member of ISO Technical Committee, Condition Monitoring.

Len made 45 plenary keynotes at major international conferences and more than 100 invited lectures and seminars in the UK, USA, France, Italy, Denmark, Switzerland, Holland, India and Israel during period 1996-2024. He was a Visiting Professor at ten Universities abroad.

Len received two Rolls-Royce (UK) Awards for Innovation, COMADIT Prize (by British Institute of NDT) for significant contribution through research/development in condition monitoring, Oxford Academic Health Science Network Award, William Smith Prize by UK Institution of Mechanical Engineers and USA Navy Award.

He has managed as the Principal Investigator contributions to multiple EU funded programs, UK DTI programs (4 grants), multiple EPSRC grants, Royal Society grant, USA National Academy of Sciences grant, USA National Research Council grant, and multiple industrial contracts, including multiple contracts with Rolls-Royce (6 contracts), contracts with SKF, Shell, Scottish Southern Energy (two contracts), Caterpillar (USA, two contracts), London Underground (three contracts) and Cranfield Boeing Centre of Excellence (3 contracts).

Before joining Cranfield University, Len was the Principal Investigator of USA International Science Foundation grant, USA Civilian Research and Development Foundation grants (two grants), USA MacArthur Foundation grant, Israel Lady Davis grant and Italian Landau Centro Volta grant.

Len was

• the Scientific-Technical Manager of EU Framework FP7 project Monitur
• the Scientific-Technical Manager of EU Framework FP7 project Indgear
• the Scientific-Technical Manager of EU Framework FP7 project PileInspect
• the Scientific-Technical Manager of UK DTI project Sustain
• the Scientific-Technical Manager of EPSRC project

Len is reviewer of the following funding bodies: EPSRC, the Agency for Innovation by Science and Technology in Flanders, Belgium, German Research Foundation, Germany, Czech Science Foundation, Czech Republic, Research Grants Council, Hong Kong, China, Scottish Universities Physics Alliance, Scotland and National Research Foundation, South Africa.

• AI
• Pattern Recognition and Machine Learning with application to healthcare
• Multimodal Data Integration and Diagnosis/Classification

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• https://orcid.org/0000-0001-5464-6227