Dr. Geoff Hall

ADMT Project Manager

School of Engineering

Computing and Technology Building, CM128

+44 (0) 1772 89 5164

ghall5@uclan.ac.uk

With over 25 years’ experience in product design and manufacture, Geoff Hall manages the Advanced Digital Manufacturing Technology Research Centre (ADMT) at the University of Central Lancashire's Burnley campus. For the past 6 years Geoff has led UCLan's manufacturing related ERDF funded projects which aim to introduce Industry 4.0 technologies into manufacturing SMEs.

Full Profile

For the last 16 years Geoff has provided industry focused input into UCLan Engineering research and teaching. The main focus of the last 8 years has been the development and implementation of a successful SME engagement program based at the Burnley campus. This program has also made a significant contribution to the direction of the Electronics and Robotics courses taught at the Preston Campus.

2019 will see this engagement program further extended as part of the Engineering Innovation Centre (EIC) launch.

Current Interests

  • Industry 4.0
  • Data Analytics for Manufacturing
  • Robotics
  • Embedded Systems Design
  • Machine Intelligence
  • Electric Vehicles

Qualifications

  • 1990       BEng (Hons) Lancashire Polytechnic
  • 2002       PhD, UCLan

Industrial Experience

  • 2002 -                 MD, Zebsys Ltd – Software & Hardware Systems Design/Consultancy
  • 1999-2002          Head of Development, Cyrano (international Software Test Company)
  • 1999-1999          Senior Test Engineer, Meggitt Petroleum Systems
  • 1992-1998          Design Engineer / Development Manager, Protec Fire Detection
  • 1990-1992          Graduate Project Engineer, Royal Ordnance

Publications

Duerden C, Shark L-K, Hall G and Howe J: Genetic algorithms for energy consumption variance minimisation in manufacturing production lines through schedule manipulation, Book Chapter in Transactions on Engineering Technologies - World Congress on Engineering and Computer Science 2014, Edited by Haeng Kon Kim, Sio-Long Ao and Mahyar A, Amouzegar, pp1-14, Springer.

Duerden C, Shark L-K, Hall G and Howe J: “Minimisation of energy consumption variance for multi-process manufacturing lines through genetic algorithm manipulation of production schedule”, Engineering Letters, Vol.23, No.1, pp.40-48, 2015.

Duerden C, Shark L-K, Hall G and Howe J: “Genetic algorithm based modification of production schedule for variance minimisation of energy consumption”, International Conference on Intelligent Automation and Robotics, San Francisco, USA, October 22-24, 2014 and published in Lecture Notes in Engineering and Computer Science, Vol.1, pp370-375.

Duerden C, Shark L-K, Hall G and Howe J: “Genetic algorithm based production schedule optimization system for highly granular energy consumption variance minimisation”, IEEE International Conference on Systems, Man, and Cybernetics, Hong Kong, October 9-12, 2015.

More publications

Teaching Activities

MEng Robotics; MEng Electronics

Research Activities

  • Large Scale Data Processing for Manufacturing Data, Industry 4.0
  • Renewable Energy Smart Grid Systems

Projects

  • ERDF DigitME2

Research Groups

  • Advanced Digital Manufacturing Technology Group