Sound Mathematics Ltd.

Sound Mathematics Ltd. Sound Mathematics Ltd. Sound Mathematics Ltd.

Sound Mathematics Ltd.

Sound Mathematics Ltd. Sound Mathematics Ltd. Sound Mathematics Ltd.
  • Home
  • About us
  • Projects
  • Publications
  • UK RCNDE
  • Waves and Fields Research
  • AutoNDE
  • FFS_ASSESS module
  • www.soundmathematics.com
  • More
    • Home
    • About us
    • Projects
    • Publications
    • UK RCNDE
    • Waves and Fields Research
    • AutoNDE
    • FFS_ASSESS module
    • www.soundmathematics.com

  • Home
  • About us
  • Projects
  • Publications
  • UK RCNDE
  • Waves and Fields Research
  • AutoNDE
  • FFS_ASSESS module
  • www.soundmathematics.com

About Us

Scope

The team

The team

We a micro company, developing  Explainable AI, with applications to 

NDE (Non-Destructive Evaluation) and SML (Structural Health Monitoring).


 

We are an associate member of  UK RCNDE. 



 

We are  a spin-off from the Waves and Fields Research Group.


























We also  promote sound mathematics education of undergraduate engineers -  see our other website:  

www.soundmathematics.com


www.soundmathematics.com

The team

The team

The team

 The SML Managing Director  is 

Professor Larissa Fradkin,  BSc, PhD, FIMA, FInstP, MLMS. Her career spans 40 years, eight years as a Government research scientist at the Department of Industrial and Scientific Research in New Zealand, seven years as a Research Associate at the Department of Applied Mathematics and Theoretical Physics at the University of Cambridge and  16 years as an academic at London South Bank University. Since 1997 Larissa was a principal investigator on 30 NDT research projects, with the grant total of over £2M, overwhelmingly for staff costs.  For the past several years she has been concentrating on developing the AutoNDE module for automatic crack characterisation. 


The SML Technical Manager is Callum Moscrip,  AI and Machine Vision Research Engineer, BSc in Physics and MSc in Robotics. He has joined Sound Mathematics Ltd. in January 2019 and wrote the AutoNDE module FFS_ASSESS for assessing pressure vessel corrosion and fitness for service. Callum gained AI experience using deep learning and instance segmentation to locate and classify images for agricultural robotic application. He also possesses a good theoretical understanding of machine learning and has practical experience in programming languages such as Python and C++. Lately Callum has developed skills in using OpenCL and CUDA general purpose processing APIs. 



Here is the link to an AutoNDE poster 



AutoNDE

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Sound Mathematics Ltd.

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