Lecturer in Multi-disciplinary Design Optimisation for Aerospace Systems at the Department of Mechanical and Aerospace Engineering of University of Strathclyde. Edmondo 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, and c) modelling and simulation of (re-)entering space objects (space-debris and asteroids). Edmondo 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.
Professor of Space Systems Engineering in the Department of Mechanical & Aerospace Engineering at the University of Strathclyde. Before starting his academic career in 2004, he was the first member of the ESA Advanced Concepts Team and initiator of the ACT research stream on global trajectory optimisation, mission analysis and biomimicry. His research interests include Computational Optimization, Robust Design and Optimization Under Uncertainty exploring the limits of computer science at solving highly complex problems in science and engineering.
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Lecturer in Computational Intelligence at the Mechanical and Aerospace Department of the University of Strathclyde. She has more than 7 years of experience in optimisation techniques and applications.
She is currently involved in projects on data driven modeling and decision making for engineering design.
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Teaching fellow in the Department of Mechanical & Aerospace Engineering at the University of Strathclyde. His research focuses on the precise orbit determination of the entire space debris population, in particular how non-conservative forces effect the shape, attitude and orbit of debris.
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Lecturer in the Department of Mechanical and Aerospace Engineering at the University of Strathclyde. Current research interests are dynamics & control modelling for aerospace vehicles including optimising preliminary design parameters in terms of operations, performance and life-cycle impact.
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He graduated with his PhD in Control Engineering from the Institut National des Sciences Appliquees de Toulouse in 2015.
His research interests are in guidance, control and dynamics of spacecraft, uncertainty quantification for end-of-life trajectory and atmospheric re-entry in Earth orbit.
Marilena Di Carlo
PhD student at the Department of Mechanical and Aerospace Engineering of the University of Strathclyde. She received her Bachelor and Master degrees in Aerospace Engineering from the University of Pisa, Italy. Her research interests include low-thrust spacecraft trajectory optimisation and evolutionary computation.
PhD student working on discrete optimization under uncertainty. Mateusz has a master’s degree in Development and Integration of Software Systems. Before joining university he used to work as a full stack software engineer on content distribution, control systems, software automation and virtualization.
PhD student at the Department of Mechanical and Aerospace Engineering of the University of Strathclyde. He received his Bachelor and Master degrees in Aerospace and Astronautical Engineering from the University of Rome “La Sapienza”, Italy. Current research is on uncertainty based multidisciplinary design optimisation of space launch vehicles, with special focus on operational performance. PhD scholarship co-funded by Airbus Safran Lauchers.
PhD student at the Department of Mechanical and Aerospace Engineering of the University of Strathclyde.
His research interests are on uncertainty quantification. During his PhD he has developed a new methodology and different techniques for uncertainty quantification successfully applied to real life engineering problems that proved to be very robust and efficient. PhD scholarship co-funded by Optimad Engineering Srl.
Carlos Ortega Absil
PhD student at the Department of Mechanical and Aerospace Engineering of the University of Strathclyde. Research interests are design under uncertainty, global and multi-objective optimisation. Currently working on methodologies for the resilient design of large-scale space systems under epistemic uncertainty.
PhD student at the Department of Mechanical and Aerospace Engineering of the University of Strathclyde. He received his MSc in Aeronautical Engineering from Politecnico di Milano. Throughout his degree he always had a very deep interest in nonlinear dynamics and control, numerical methods and simulations, mathematical modelling and programming as tools to understand complex systems and interactions. He is now working on Multi-Objective optimisation and Optimal Control.
PhD student at the Department of Mechanical and Aerospace Engineering of the University of Strathclyde since January 2018. Audrey obtained her MSc in Aerospace Engineering from KTH, the Royal Institute of Technology, Sweden. Before joining the ICE lab she worked for three years as a space system engineer for Earth Observation future missions at ESTEC, European Space Agency (ESA). Her research is focused on applying Computational Intelligence methods to reuse all the data and lessons learned harvested online, collected from previous, current and future studies to enhance current concurrent engineering design processes and decision making at the early phases of space missions design. This project is half funded by ESA and in cooperation with industrial partners (RHEA, Airbus, Satsearch) in the frame of a Networking/Partnering Initiative (NPI).
PhD student at the Department of Mechanical and Aerospace Engineering of the University of Strathclyde. He received both his Bachelor and Master from Politecnico di Milano in Aerospace Engineering. Before moving to Glasgow, he worked for a space company based in Madrid, Deimos Space, to develop a tool for one subsystem (C&DH) of the satellite to be used in a Concurrent Design Facility (CDF).
His research project is focused on the development of a Design Engineering Assistant (DEA), an expert system, that will enhance and ease the work of the experts in a Concurrent Design Facility (CDF). The research will leverage techniques in the field of Natural Language Processing, Deep Learning, Ontology Learning, Knowledge Management, Knowledge Discovery, Fuzzy Rules. The project is in collaboration with the European Space Agency (ESA) and industrial partners.
master student in aerospace engineering in Politecnico of Turin. His research interests ar ein thefield of optimisation and structural analysis. His work is mainly focused on the design optimisation of micromechanical properties of particle reinforced aluminium matrix composites using genetic algorithm.