Edmondo Minisci, PhD, is a Senior Lecturer in Multi-disciplinary Design Optimisation at the Department of Mechanical & Aerospace Engineering of University of Strathclyde. He is affiliated to the Aerospace Centre of Excellence (ACE), and is the director of the Intelligent Computational Engineering Laboratory (ICE-Lab).
Dr Minisci has 15+ years of experience in the field of model based analysis and design of mechanical systems/devices, and is currently involved in projects regarding: a) global optimization of trans-atmospheric and interplanetary trajectories, b) uncertainty based multidisciplinary design optimisation of space transportation systems, wind turbines and spacecraft, c) modelling and simulation of (re-)entering space objects (space-debris and asteroids), d) machine learning for the analysis and design of engineering systems.
Dr Minisci is also founder member and former general manager of OPTIMAD Engineering S.r.l. – Italian SME, Spin-off of the Politecnico di Torino, active in the field of aerodynamic analysis, design, and optimization.
Di Carlo, M., Vasile, M. & Minisci, E., Adaptive multi-population inflationary differential evolution, Soft Computing, July 2019.
Mehta, P.M., Kubicek, M., Minisci, E., Vasile, M., Sensitivity Analysis and Probabilistic Re-entry Modeling for Debris using High Dimensional Model Representation based Uncertainty Treatment, Advances in Space Research, Vol.59, Issue 1, pp 193–211, January 2017.
Kubicek, M., Minisci, E., Cisternino, M., High dimensional sensitivity analysis using surrogate modeling and High Dimensional Model Representation, International Journal for Uncertainty Quantification, 5(5), pp 393–414, 2015.
Minisci, E., Vasile, M., Robust Design of a Re-entry Unmanned Space Vehicle by Multi-fidelity Evolution Control, AIAA Journal, Vol. 51, N. 6, pp. 1284-1295, 2013.