Lorenzo is an early stage researcher at Technische Hochschule Köln. His work is focused developing and studying evolutionary optimisation methods with regard to mixed-integer problems involving uncertainty.
Lorenzo fostered an early passion for aircrafts by pursuing a career in aerospace engineering at renowned world-class institutions. A native of Rome, he attended the Aerospace Engineering program at the Turin Polytechnic Institute (Politecnico di Torino), where he obtained the Bachelor Degree and a Master Degree in Aerospace Engineering with a specialization in Fluid Dynamics.
During his tenure at the Politecnico, Lorenzo engaged in the 2Wheels PoliTO race motorbike project and in the Wide Body Twin-Aisle preliminary design team project. These extracurricular experiences helped Lorenzo boost his passion for working in teams on technically challenging problems. In the six years of study had the opportunity to be part of several projects in which he gained technical knowledge, teamwork and communication experience.
In 2016, Lorenzo interned at the Aerospace Centre of Excellence, research laboratory of the University of Strathclyde, where he worked for his Master’s thesis dissertation on the development of a new methodology of optimization of forefront composite material microstructural behaviour through the coupling of genetic algorithms and FE analysis. There, he had the opportunity to compare different optimization methods and manage their characteristics in order to create a multilevel mixed integer optimization on a problem with nonlinear constraints and uncertainty. Furthermore, he had the honour to present the results of his project in the AIRTEC 2017 International Congress in Munich and an extended paper of the same topic is due to be published.
Lorenzo’s successful experience in Glasgow, where he found an exceptional team and stimulating environment, combined with his ever growing interest in optimization methods, motivated him to become part of the UTOPIAE network as a research fellow.
In his spare time, Lorenzo is an avid cook and competitive athlete. In Rome, he served as captain of the C.C. Aniene flatwater canoeing team for 8 years and won several national competitions and one bronze medal at the 2011 Rome World Cup.
Gentile, E. Morales, D. Quagliarella, E. Minisci, T. Bartz-Beielstein and R. Tognaccini.“High-Lift Devices Topology Robust Optimisation using Machine Learning Optimisation”. UQOP 2020. (Submitted).
Gentile, L., Greco, C., Minisci, E., Bartz-Beielstein., T., & Vasile, M., Satellite tracking with Constrained Budget via Structured-Chromosome Genetic Algorithms. Optimisation and Engineering, 2020. (Submitted)
Gentile, E. Morales, D. Quagliarella, E. Minisci, T. Bartz-Beielstein and R. Tognaccini.“High-Lift Devices Topology Optimisation using Structured-Chromosome Genetic Algorithm”.IEEE Congress on Evolutionary Computation 2020
Gentile, G. Filippi, E. Minisci, T. Bartz-Beielstein. M. Vasile.“Preliminary spacecraft design by means of Structured-chromosome Genetic Algorithms”. IEEE Congress on Evolutionary Computation 2020
Rehback, L. Gentile, T. Bartz-Beielstein. “Variable Reduction for Surrogate-Based Optimization “. Genetic and Evolutionary Computation Conference 2020.
Gentile, C. Greco, E. Minisci, T. Bartz-Beielstein. M. Vasile. “A tool for design of optimal observation campaignfor low resources deep space missions”. International Aeronautical Congress 2019 (IAC ‘19).
Falchi,L. Gentile, E. Minisci,“Launcher Vehicle Aerothermodynamics and Fairing Separation Altitude Effects on Payload Temperature”. European Conference for Aeronautics and Space Sciences 2019 (EUCASS ’19).
Cho, D. Giugliano, L. Gentile, H. Chen.“Cyclic plasticity and creep-cyclic plasticity behaviours of the SiC/Ti-6242 Particulate Reinforced Titanium Matrix Composites under thermo-mechanical loadings”. Composites Structures.
Greco, L. Gentile, E. Minisci, M. Vasile, T. Bartz-Beielstein. “Autonomous Generation of Observation Schedules for Tracking Satellites with Structured-Chromosome GA Optimisation”. In Proceedings Congress on Evolutionary Computation 2019 (CEC ‘19).
Gentile, C. Greco, E. Minisci, M. Vasile, T. Bartz-Beielstein. “Structured-Chromosome GA Optimisation for satellite tracking”. In Proceedings of the Genetic and Evolutionary Computation Conference 2019 (GECCO ’19).
Rehbach, L. Gentile, T. Bartz-Beielstein. “Feature Selection for Surrogate Model-Based Optimization”.In Proceedings of the Genetic and Evolutionary Computation Conference 2019 (GECCO ’19).
Gentile, M. Zaefferer, D. Giugliano, H. Chen, Bartz-Beielstein. 2018. “Surrogate assisted optimization of particle reinforced metal matrix composites”. In Proceedings of the Genetic and Evolutionary Computation Conference 2018 (GECCO ’18).
Gentile, D. Giugliano, E. Cestino, G. Frulla, E. Minisci. 2018. “Optimisation based analysis of the effect of particle spatial distribution on the elastic behaviour of PRMMC”. In Proceedings of the European Conference on Computational Mechanics (ECCM 6).
Bartz-Beielstein,L. Gentile, and M. Zaefferer, “In a nutshell: sequential parameter optimization” TH Köln, 12-12 2017.