20082021
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Personal profile

Personal Statement

I'm the director of the Intelligent Computational Engineering Laboratory (ICE-Lab) and I have 15+ years of experience in the field of model based analysis and design optimisation of complex mechanical 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.

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.

Expertise & Capabilities

  • 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
  • Meta-modelling Techniques
  • Computational Intelligence
  • Machine Learning
  • Multi-Fidelity Optimisation Approaches
  • Engineering Design

Teaching Interests

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)

Keywords

  • Motor vehicles. Aeronautics. Astronautics
  • Engineering design. Design Optimisation. Uncertainty Quantification
  • wind turbine
  • Uncertainty
  • CFD
  • Aerodynamic design
  • Machine Learning
  • Computational Intelligence
  • Numerical methods
  • Evolutionary Computation

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

Reentry Engineering & Materials Science
Trajectories Engineering & Materials Science
Aerodynamics Engineering & Materials Science
Wind turbines Engineering & Materials Science
Debris Engineering & Materials Science
Global optimization Engineering & Materials Science
Sensitivity analysis Engineering & Materials Science
Evolutionary algorithms Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2012 2021

Research Output 2008 2018

Aerodynamic design optimization of wind turbine airfoils under aleatory and epistemic uncertainty

Caboni, M., Minisci, E. & Riccardi, A., 29 May 2018, (Accepted/In press) 10 p.

Research output: Contribution to conferencePaper

Open Access
File
Airfoils
Wind turbines
Aerodynamics
Design optimization
Uncertainty

GTOC9: Methods and results from University of Strathclyde (team Strath++)

Ortega Absil, C., Ricciardi, L. A., Di Carlo, M., Greco, C., Serra, R., Polnik, M., Vroom, A., Riccardi, A., Minisci, E. & Vasile, M., 9 Jan 2018, In : Acta Futura. 11, p. 57-70 14 p.

Research output: Contribution to journalArticle

Open Access
File
Trajectories
Global optimization
Debris
Engineers
Planning

Thesis

Shock estimation in supersonic vehicles

Author: Herrera Montojo, J., 1 Oct 2016

Supervisor: Fossati, M. (Supervisor) & Minisci, E. (Supervisor)

Student thesis: Doctoral Thesis

Activities 2011 2018

4th International Workshop on Space Debris Re-entry

Minisci, E. (Participant)
28 Feb 20181 Mar 2018

Activity: Participating in or organising an eventParticipation in workshop, seminar, course

Space Junk: The Odds of Being Hit

Minisci, E. (Recipient)
15 May 2018

Activity: OtherTypes of Public engagement and outreach - Media article or participation