Dr. Michael Farnsworth
Dr. Michael Farnsworth.
Department of Automatic Control and Systems Engineering
University of Sheffield
Sheffield, S1 3JD
Tel: (+44) (0)114 222 5250
I graduated originally from the biological sciences having pursued a BSc in Biochemistry at Cardiff University before undertaking a MSc in Computer Science at the University of the West of England (UWE). I continued with my interest in biologically inspired computation, undertaking a PhD at Cranfield University on the evolutionary design optimisation of Micro-Electro-Mechanical Systems (MEMS). I continued on with this theme as a researcher of a number of projects throughout my time at Cranfield University, ranging from autonomous maintenance and robotics, self-healing systems, manufacturing informatics and process optimisation.
In my current role as a research associate within the ACSE I research and develop digital, electronic and robotic solutions for automation within manufacturing and shop floor environments. The goal is to enable efficient, safe and productive workspaces through the integration of IoT, autonomous systems, machine learning and manufacturing informatics tools and techniques.
I am developing a research theme concerned with digital manufacturing and how the distributed resources of IoT and ‘Smart Products’ can augment robotic cognition in this field. Previously I have worked on autonomous maintenance, and how to capture and classify maintenance tasks to allow for the development of distributed autonomous solutions and the application and development of self-healing systems. The core of this research is centred on my interests in biologically inspired computing, whether it be evolutionary computation, machine learning and AI, or robotics and cognitive neuroscience.
My work is characterised by strong industrial collaboration, having worked with companies such as Rolls-Royce, BAE Systems, Bombardier Transportation, Airbus, Meggitt PLC and this is supported by excellent links with universities and research organizations worldwide.
RCUK - ‘Interdisciplinary climate modelling for the manufacturing sector’ in collaboration with Bristol University - 2016
EPSRC Impact Acceleration Award on ‘Self-healing technologies for mechanical and electrical systems’ - 2016.
EPSRC - RECODE Network Feasibility Study ‘SME-Oriented Collaborative Customer Insight Platform for User-driven RdM - SOC-UDRdM’ - 2016
Khan, S., Gorringe, C., and Farnsworth, M. (2018) “Evaluating diagnostic failures during System Design” CIRP Journal of Manufacturing Science and Technology, https://doi.org/10.1016/j.cirpj.2018.02.003
Farnsworth, M., Tiwari, A., Zhu, M., and Benkhelifa, E., (2018) “A Multi-Objective and Multidisciplinary Optimisation Algorithm for Microelectromechanical Systems”, In: Maldonado Y., Trujillo L., Schütze O., Riccardi A., Vasile M. (eds) NEO 2016. Studies in Computational Intelligence, vol 731. Springer, Cham
Lui, Y., Farnsworth, M., and Tiwari, A., (2017) “A Review of Optimisation Techniques Used in the Composite Recycling Area: State-of-the-art and steps towards a research agenda” Journal of Cleaner Production, vol 140, pp 1775-1781
Farnsworth, M., Tiwari, A., Zhu, M., (2017) “Multi-level and Multi-Objective Design Optimisation of a MEMS Bandpass Filter” Applied Soft Computing, Vol52, pp 642-656 http://dx.doi.org/10.1016/j.asoc.2016.10.007
Khan, S., Farnsworth, M., Erkoyuncu, J., (2017) “A novel approach for No Fault Found decision making” CIRP Journal of Manufacturing Science and Technology pp 1-25, In Press http://dx.doi.org/10.1016/j.cirpj.2016.05.011
Bell, C., Farnsworth, M., Knowles, J., and Tiwari, A., (2017) “Self-repairing design process applied to a 4-bar linkage mechanism” Proc IMechE Part B: J Engineering Manufacture pp 1-11 doi: 10.1177/0954405415598924
Farnsworth M, Tomiyama T. “Capturing, classification and concept generation for automated maintenance tasks” CIRP Annals - Manufacturing Technology (2014), http://dx.doi.org/10.1016
Farnsworth, M., Benkhelifa, E., Tiwari, A., Zhu, M., and Moniri, M., (2011) “An Efficient Evolutionary Multi-Objective Framework for MEMS Design Optimisation: Validation, Comparison and Analysis” Journal of Memetic Computing, Vol 3 pp. 175-197 - IF:0.9
Benkhelifa, E., Farnsworth, M., Tiwari, A., and Zhu, M., (2010) “Design and optimisation of microelectromechanical systems: a review of the state-of-the-art” International Journal of Design Engineering - Vol. 3, No.1 pp. 41-76
Farnsworth, M., Benkhelifa, E., Tiwari, A., and Zhu, M., (2010) “A Novel Approach to Multi-level Evolutionary Design Optimization of a MEMS Device” Lecture Notes in Computer Science, Volume 6274/2010, 322-334, DOI:10.1007/978-3-642-15323-5
|Selected Conference Papers||
S. Tedeschi, C. Emmanouilidis, M. Farnsworth, J. Mehnen, and R. Roy, (2017) "New Threats for Old Manufacturing Problems: Secure IoT-Enabled Monitoring of Legacy Production Machinery" IFIP International Conference on Advances in Production Management Systems, pp 391-398
M. Farnsworth, L. Kirkwood, S. Court, E. Shehab, and N Tinworth, (2017) "Optimisation Strategy for Efficient Platform Train Interface Activity" Advances in Manufacturing Technology XXXI: Proceedings of the 15th International Conference on Manufacturing Research, Vol 6. pp 233
S Court, L Kirkwood, M Farnsworth I Orlovs, E Shehab, N Tinworth, (2017) "Requirements Analysis of Digital Technology for the Rail Industry" Advances in Manufacturing Technology XXXI: Proceedings of the 15th International Conference on Manufacturing Research, Vol 6. pp 201
S. P., Minano, L. Kirkwood, S. Court, M. Farnsworth, I. Orlovs, E. Shehab, and N. Tinworth, (2017) "A Review of Digital Wayfinding Technologies in the Transportation Industry" Advances in Manufacturing Technology XXXI: Proceedings of the 15th International Conference on Manufacturing Research, Vol 6. pp 207
Farnsworth, M., and Tiwari, A., (2015) “Modelling, Simulation and Analysis of a Self-healing Energy Harvester” Procedia CIRP Vol 38, pp 271-276, doi:10.1016/ j.procir.2015.07.084
Farnsworth, M., Tiwari, A., and Dorey, R., (2014) “Modelling, Simulation and Optimisation of a Piezoelectric Energy Harvester” Procedia CIRP 22, pp 142-147
Bell C, Farnsworth M, Tiwari A, and Dorey R., (2013) "Theoretical design of a self-rectifying 4-bar linkage mechanism" Proc CIRP 2013, pp 385-389
Akrout, H., Anson, D., Bianchini, G., Neveur, A., Trinel, C., Farnsworth, M., and Tomiyama. T., (2013) Maintenance Task Classification: Towards Automated Robotic Maintenance for Industry. Procedia CIRP. 11 pp 367-372
M., Farnsworth, E., Benkhelifa, A. Tiwari, and M., Zhu, (2010) "A Novel Approach to Multi-level Evolutionary Design Optimization of a MEMS Device" International Conference From Biology to Hardware, Evolvable Systems ICES 2010, York, UK
M., Farnsworth, E., Benkhelifa, A. Tiwari, and M., Zhu, (2010) “A Multi-level Evolutionary Design Optimisation of MEMS: Methodology and Application” In Proceedings Third International Conference on Multidisciplinary Design Optimization and Applications
E., Benkhelifa, M., Farnsworth, A., Tiwari, and M., Zhu, (2009) "An Integrated Framework for MEMS Design Optimisation using modeFrontier" EnginSoft International Conference 2009, CAE Technologies For Industry and ANSYS Italian Conference 2009
M., Farnsworth, R., McWilliam, S., Khan, C., Bell, and T., Tomiyama, (2017). Design for Zero-Maintenance. Advances in Through-life Engineering Services, pp 349-365 (Chapter in Book)
Farnsworth, M., Bell, C., Khan, S., Tomiyama, T. (2015). Autonomous Maintenance for Through-Life Engineering. Through-life Engineering Services, pp 395-419, DOI:10.1007/978-3-319-12111-6-23 Springer (Chapter in Book)
E., Benkhelifa, M., Farnsworth, A. Tiwari, and M., Zhu, “Evolutionary Algorithms for Planar MEMS Design Optimisation: A Comparative Study” Studies in Computational Intelligence, 2010, Volume 284/2010, pp.199-210, DOI: 10.1007/978-3-642-12538-6_17 (Chapter in Book)