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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