Dr Edmondo Minisci

Senior Lecturer

Mechanical and Aerospace Engineering

Personal statement

I'm the director of the Intelligent Computational Engineering Laboratory (ICE-Lab) and I have 20+ years of experience in the field of model based analysis and design optimisation of complex mechanical/aerospace systems/devices.

I'm 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.

Expertise

Has expertise in:

Multi-Objective Optimisation
Nature Inspired Optimisation Algorithms
Uncertainty Treatment
Multidisciplinary Design Optimisation Under Uncertainties
MDOuU of Aerospace Transportation Systems and Renewable Energy Systems
Trajectory and Shape Optimisation
(Re-)Entry of Space Objects and Design for Demise
Meta-modelling Techniques
Computational Intelligence
Machine Learning
Multi-Fidelity Optimisation Approaches
Engineering Design

Prizes and awards

Postdoctoral Research Fellowship (Politecnico di Torino, Italy): Recipient; 2004

more prizes and awards

Publications

Modelling and simulation of transpiration cooling systems for atmospheric re-entry: Bandivadekar Deep, Minisci Edmondo; Aerospace Vol 7 (2020); https://doi.org/10.3390/aerospace7070089
A novel update mechanism for Q-Networks based on extreme learning machines: Wilson Callum, Riccardi Annalisa, Minisci Edmondo; IEEE World Congress on Computational Intelligence 2020 (2020)
Rapid estimate of wind turbine energy loss due to blade leading edge delamination using artificial neural networks: Campobasso Michele Sergio, Cavazzini Anna, Minisci Edmondo; Journal of Turbomachinery (2020); https://doi.org/10.1115/1.4047186
A review of methods to study resilience of complex engineering and engineered systems: Naghshbandi S Neda, Varga Liz, Purvis Alan, McWilliam Richard, Minisci Edmondo, Vasile Massimiliano, Troffaes Matthias, Sedighi Tabassom, Guo Weisi, Manley Ed, Jones David H; IEEE Access Vol 8, pp. 87775-87799 (2020); https://doi.org/10.1109/ACCESS.2020.2992239
On the use of machine learning and evidence theory to improve collision risk management: Sánchez Luis, Vasile Massimiliano, Minisci Edmondo; 2nd IAA Conference in Space Situational Awareness (2020)
Intelligent control : a taxonomy: Wilson Callum, Marchetti Francesco, Di Carlo Marilena, Riccardi Annalisa, Minisci Edmondo; 8th International Conference on Systems and Control, pp. 333-339 (2020); https://doi.org/10.1109/ICSC47195.2019.8950603

more publications

Teaching

Current

"Engineering Analysis" Teaching Subject Group Coordinator

Current

"Introduction to Engineering Optimisation" (UG/PG Level)

"Mathematical Modelling And Analysis – Part2 (Engineering Analysis)" (UG Level)

Past

"System Engineering, Mechanical systems part" (UG Level)

“Engineering Analysis 3 – Part2 (Introduction to CFD)” (UG Level)

“Flight mechanics 3” (UG Level)

"Helicopter Flight Mechanics", tutorials (UG/PG Level)

Research interests

Currently involved in projects regarding:

global optimisation of trans-atmospheric and interplanetary trajectories;
multidisciplinary design optimisation under uncertainties of space transportation systems and wind turbines;
(re-)entry modelling and simulation of space objects (debris and asteroids) and design for demise; and
machine learning techniques for data analytics and meta-modelling.

Professional activities

5th European Optimisation in Space Engineering Workshop: Organiser; 21/11/2019
Numerical Computations: Theory and Algorithms (NUMTA2019): Participant; 10/2018
8th International Systems & Concurrent Engineering for Space Applications Conference: Organiser; 26/9/2018
Space Junk: The Odds of Being Hit: Recipient; 15/5/2018
4th International Workshop on Space Debris Re-entry: Participant; 28/2/2018
Mechanical And Aerospace Engineering (Organisational unit): Advisor; 3/2017

more professional activities

Projects

Multi-disciplinary modelling of the aerothemodynamically-induced fragmentation of re-entering bodies (MIDGARD): Fossati, Marco (Principal Investigator) Minisci, Edmondo (Co-investigator); 01-Jan-2020 - 31-Jan-2023
Centre for Doctoral Training in Socially Progressive Innovation and Entrepreneurship: Sahasranamam, Sreevas (Academic) Riccardi, Annalisa (Academic) Rodrigues Loncan, Tiago (Academic) Nicolopoulou, Katerina (Academic) Minisci, Edmondo (Academic) Kalin, Robert (Academic); This is a interdisciplinary centre for doctoral training led by Chancellor's Fellows. The projects will focus on studying research questions in social entrepreneurship and social innovation aimed at addressing the United Nations Sustainable Development Goals (UN SDGs) through market-based mechanisms and theory linked interventions.; 01-Jan-2019
Assessment of Intelligent Control Techniques: Riccardi, Annalisa (Principal Investigator) Minisci, Edmondo (Co-investigator); 21-Jan-2019 - 21-Jan-2019
Stardust-R (Stardust Reloaded) H2020 MCSA ITN 2018: Vasile, Massimiliano (Principal Investigator) Fossati, Marco (Co-investigator) Grey, Stuart (Co-investigator) Minisci, Edmondo (Co-investigator) Riccardi, Annalisa (Co-investigator); 01-Jan-2019 - 31-Jan-2022
Probabilistic Assessment of Destructive Re-entry (PADRE): Minisci, Edmondo (Principal Investigator) Riccardi, Annalisa (Co-investigator) Vasile, Massimiliano (Co-investigator); 15-Jan-2018 - 21-Jan-2019
WARC2 - Design Optimisation: Riccardi, Annalisa (Principal Investigator) Dempster, William (Co-investigator) Minisci, Edmondo (Co-investigator) Nash, David (Co-investigator); 01-Jan-2018 - 30-Jan-2021

more projects

Address

Mechanical and Aerospace Engineering
James Weir Building

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