Dr. Geoff Hall
ADMT Project Manager
School of Engineering
Computing and Technology Building, CM128
+44 (0) 1772 89 5164
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.
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