Dr. Mauro Sebastián Innocente | Mobility and Transport
Dr. Mauro S. Innocente is currently a Lecturer in Aerospace Engineering and a member of the Centre for Mobility & Transport at Coventry University. He is also a member of the Mathematical Optimisation Society.
He received his certified civil engineering technician degree from the Provincial High School of Technical Education No. 21, Argentina, in 1996; his building & structural engineering degree from the National University of the Northeast, Argentina, in 2003; his master’s degree in numerical methods from the Polytechnic University of Catalonia, Spain, in 2007; and his PhD degree in particle swarm optimisation from Swansea University, UK, in 2011. He is currently pursuing a Postgraduate Certificate in Academic Practice in Higher Education at Coventry University, UK.
He worked as an Engineering Assistant at GINSA SA (civil engineering company) from 2001 to 2003; as a Research Assistant in the Analysis & Advanced Materials for Structural Design group (AMADE) at the University of Gerona, Spain, in 2006; as a Research Assistant in the Civil & Computational Engineering Centre (C2EC) at Swansea University, UK, in 2010; as a Research Officer in the Advanced Sustainable Manufacturing Technologies (ASTUTE) project also at Swansea University from 2010 to 2014; as a Research Associate in the Institute of Energy at Cardiff University, UK, from 2014 to 2015; and joined the Centre for Mobility & Transport (CMTR) at Coventry University, UK, as a Lecturer in Aerospace Engineering in September 2015.
He peer-reviews articles for a number of international journals such as Applied Mathematical Modelling, Structural and Multidisciplinary Optimization, Computers & Structures, and the International Journal of Metaheuristics. He also evaluates project proposals for the National Commission of Scientific and Technological Research in Chile.
As Co-I, he was awarded the EPSRC Centre for Power Electronics Early-Career Researchers Grant for a project titled “optimisable system-level thermal models for power electronic converters” (£55,248) funded through EPSRC research grant EP/K035304/1 to be carried out throughout 2016 in collaboration with Dr. D.J. Rogers (PI) at the University of Oxford.
- Innocente, M.S., Afonso, S.M.B., Sienz, J., and Davies, H.M. (2015) ‘Particle swarm algorithm with adaptive constraint handling and integrated surrogate model for the management of petroleum fields’. Applied Soft Computing 34, 463–484.
- Innocente, M.S, Rogers, D.J., and Choudhury, K.R. (2015) ‘Optimal filter design for power electronic converters’. EPSRC Centre for Power Electronics Annual Conference. Held 29-30 June 2015 in Nottingham, UK. [Poster]
- Levatti, H.U., Innocente, M.S., Morgan, H.D., Cherry, J., Lavery, N.P., Mehmood, S., Cameron, I., and Sienz, J. (2014) ‘Computational methodology for optimal design of additive layer manufactured turbine bracket’. In Setchi, R., Howlett, R.J., Naim, M., and Seinz, H. (Eds.) Sustainable Design and Manufacturing 2014; Part 1. ‘SDM’14 International Conference on Sustainable Design and Manufacturing’. Held 28-30 April 2014 in Cardiff, UK. England: Future Technology Press, 624–635.
- James, D.W., Innocente, M.S., Cherry, J., Carswell, D., and Lavery, N.P. (2014) ‘A methodology for automated pellet size distribution in a pellet mil’. In Setchi, R., Howlett, R.J., Naim, M., and Seinz, H. (Eds.) Sustainable Design and Manufacturing 2014; Part 1. ‘SDM’14 International Conference on Sustainable Design and Manufacturing’. Held 28-30 April 2014 in Cardiff, UK. England: Future Technology Press, 624–635.
- Innocente, M.S., and Sienz, J. (2011) ‘Particle swarm optimization with inertia weight and constriction factor’. International Conference on Swarm Intelligence (ICSI). Held 14-15 June 2011 in Cergy, France.
- Pelley, C., Innocente, M.S., and Sienz, J. (2011) ‘Memetic particle swarm for continuous unconstrained and constrained optimization problems’. In International Conference on Swarm Intelligence (ICSI). Held 14-15 June 2011 in Cergy, France.
- Innocente, M.S., and Sienz, J. (2010) ‘Coefficients’ settings in particle swarm optimization: insight and guidelines’. In Dvorkin, E., Goldschmit, M., and Storti, M. (Eds.) Mecánica Computacional Vol XXIX. ‘IX Argentinian Congress on Computational Mechanics, XXXI Latin-Iberian-American Congress on Computational Methods in Engineering, II South American Congress on Computational Mechanics (MECOM–CILAMCE)’. Held 15-18 November 2010 in Buenos Aires, Argentina. Asociación Argentina de Mecánica Computacional, 9253-9269.
- Innocente, M.S., and Sienz, J. (2010) ‘Pseudo-adaptive penalization to handle constraints in particle swarm optimizers’. In Proceedings of the 10th International Conference on Computational Structures Technology – Special Session on Gradient-Free Optimization. Held 14-17 September in Valencia, Spain.
- Sienz, J., and Innocente, M.S. (2010) ‘Individual and social behaviour in particle swarm optimizers’. In Developments and Applications in Engineering Computational Technology. Ed. by Topping, B.H.V., Adam, J.M., Pallarés, F.J., Bru, R., and Romero, M.L. Stirlingshire: Saxe-Coburg Publications, 219–243.
- Sienz, J., and Innocente, M.S. (2008) ‘Particle swarm optimization: fundamental study and its application to optimization and to jetty scheduling problems’. In Trends in Engineering Computational Technology. Ed. by Papadrakakis, M., and Topping, B.H. Stirlingshire: Saxe-Coburg Publications, 103–126.
- Optimisable system-level thermal models for power electronic converters: This project focuses on the design of reliable yet efficient thermal models, underpinning an optimal design framework for power electronic converters. Due to the high number of times that these models must be evaluated during the optimisation process, such models are required to be of low computational cost (so-called ‘optimisable’). A first model considers a set of simplifying assumptions allowing for the exploitation of axisymmetry. The project will seek to progressively increase the accuracy of the optimisable models by relaxation of the simplifying assumptions whilst ensuring a reasonable computational cost is maintained. Accuracy of the optimisable models will be assessed against computationally expensive three dimensional simulations in the first instance.
- Investigating the Power Density of Power Electronics: The power density of power electronics is an important consideration in modern engineering systems as in many applications it has become attractive to use electrical power distribution and actuation in place of mechanical, hydraulic or pneumatic systems to reduce overall system mass and complexity, along with improving efficiency and reliability. This research project aimed to produce software to optimise the power density of a converter subject to a particular electrical and thermal specification by considering all major aspects of the design under a global electrical, mechanical and thermal optimisation framework. By formulating a set of strict rules governing the design and placement of each component within the converter, the effect of basic design decisions and fundamental material properties on the overall power density of a converter can be explored. The project aimed to provide industry and academia with reliable and justified figures for best-in-class power density achievable now and into the future, identify technology bottlenecks into which application of additional resources bring large improvements in achievable power density, illustrate explicitly important trade-offs in modern converter design and provide converter optimisation tools that can be used and extended by academia and industry.
- Advanced SusTainable manUfacturing TEchnologies (ASTUTE): Industry-oriented project aimed at R&D and Knowledge Transfer to help the manufacturing industry in Wales adopt more advanced technologies. Involvement in subprojects within the ASTUTE umbrella such as space frame optimal design to the BS 5950-1:2000 using commercial software (Altair OptiStruct); enhancement of 2D image-based prediction of nickel pellet-size distribution in a pellet mill using an artificial neural networks; development of Particle Swarm Optimisation-based Jetty Scheduler for oil refineries; development of Particle Swarm Algorithm for surrogate-based optimisation of the management of petroleum fields (oil extraction by waterflooding); among others.
- Numerical Simulation of the Ring Stiffness Test for Polymeric Pipes: The main objective of the project was to develop fast yet accurate numerical simulations of the standardized ring flexibility test according to the BS EN 1446: 1996. This standard specifies a method to measure the flexibility of a thermoplastic pipe with circular perimeters. Three representative polymeric pipes were considered, whose both theoretical cross sections and real samples –noticeably differing from one another– were provided by the company. The simulation was carried out by means of the finite element method using Altair Hyperworks package, which required the digitalization of these complex geometries. The latter were generated out of a massive number of points obtained using a 3D scanner. A number of models were developed so as to achieve a range of accuracy/efficiency ratios. The durations of the simulations associated to them ranged between 4 seconds and 22 minutes on a standard PC.