Francesco Larocca

Former faculty
Department of Mechanical and Aerospace Engineering (DIMEAS)

Profile

Research interests

Aerospace propulsion
Computational fluid dynamics
Inverse problems
Machine learning
Turbomachinery design

Skills

ERC sectors

PE8_1 - Aerospace engineering
PE8_4 - Computational engineering
PE8_5 - Fluid mechanics
PE6_11 - Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
PE8_8 - Propulsion engineering, e.g. hydraulic, turbo, piston, hybrid engines
PE6_12 - Scientific computing, simulation and modelling tools

SDG

Goal 7: Affordable and clean energy

Teaching

Collegi of the PhD programmes

  • INGEGNERIA AEROSPAZIALE, 2016/2017 (33. ciclo)
    Politecnico di TORINO
  • INGEGNERIA AEROSPAZIALE, 2015/2016 (32. ciclo)
    Politecnico di TORINO
  • INGEGNERIA AEROSPAZIALE, 2014/2015 (31. ciclo)
    Politecnico di TORINO
  • INGEGNERIA AEROSPAZIALE, 2013/2014 (30. ciclo)
    Politecnico di TORINO
  • INGEGNERIA AEROSPAZIALE, 2012/2013 (29. ciclo)
    Politecnico di TORINO
  • INGEGNERIA AEROSPAZIALE, 2011/2012 (28. ciclo)
    Politecnico di TORINO
MostraNascondi collegi passati

Teachings

Master of Science

MostraNascondi A.A. passati

Bachelor of Science

MostraNascondi A.A. passati

Research

Research groups

Research projects

Projects funded by commercial contracts

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Supervised PhD students

  • Michele Errante. Programme in Ingegneria Aerospaziale (37th cycle, 2021-in progress)
    Research subject: Simulation of turbulent flows in aerospace propulsion systems
    Computational Fluid Dynamics
    Turbomachinery
    Turbulent Flows
    Computational Fluid Dynamics
    Turbomachinery
    Turbulent Flows
    Computational Fluid Dynamics
    Turbomachinery
    Turbulent Flows
  • Luca Muscara'. Programme in Ingegneria Aerospaziale (37th cycle, 2021-in progress)
    Research subject: Machine learning for multiphysics problems
    Computational Fluid Dynamics
    Turbulent Flows
    Computational Fluid Dynamics
    Turbulent Flows
  • Thomas Philibert. Programme in Ingegneria Aerospaziale (36th cycle, 2020-in progress)
    Thesis: Data-driven models for turbulent separated flows

Publications

Publications by type

Latest publications View all publications in Porto@Iris