Carl Berry

Lecturer in Robotic Engineering

School of Engineering

C&T Building, CM024/Burnley Campus, C407

+44 (0) 1772 89 3245 (Preston) 6090 (Burnley)

Subject Areas: Computing, Engineering

Carl is a lecturer in Robotic Engineering and was previously a project engineer on the DigitME ERDF funded project helping manufacturing SMEs in the North West with manufacturing related data issues. Currently working on a part time PhD he is working on large scale data processing issues in the manufacturing sector. Carl is research active within the area of digital engineering and is a member of the Advanced Digital Manufacturing Technology Research Centre.

Full Profile

Carl has previously lectured in areas of databases and programming at Manchester Metropolitan University (2010-12) and The University of Salford (2006-2010). Previous to that he was a research assistant at The University of Salford and was involved with an ESPRC funded project working with Christies and South Manchester hospitals at intelligent classification of voice quality in recovering cancer patients.

Current interests

  • Large scale data processing for manufacturing (“big data” for manufacturing)
  • Data analytics.
  • Data security
  • Data mining


  • M.Sc. Information Systems Engineering, UMIST, 1998.
  • B.Sc. (Hons) Applied Statistics and Computing, Liverpool John Moores University, 1995.


Ritchings, T, Berry, C and Sheta, W. (2008) Comparing ANNs and Genetic Programming for Voice Quality Assessment Post-Treatment. Applied Artificial Intelligence Vol. 2 Issue 3March 2008.

Ritchings, T and Berry, C (2006) A Comparative Study of Impedance and Acoustic Vowel Phonation Signals for Intelligent Voice Quality Assessment of Patients Recovering from Radiotherapy for Cancer of the Larynx. Acta Acustica United with Acustica, Vol. 92, 2006

Berry, C and Ritchings, T. (2005) A Comparative Study of Intelligent Voice Quality Assessment Using Impedance and Acoustic Signals. Proceedings of 4th International Workshop on Models and Analysis of Vocal Emissions for Biomedical Applications. Oct.29-31, 2005 Firenze, Italy.


Member of the British Computer Society


Large scale data processing for manufacturing data