Research Group & Sofwtare
ModelFLOWs
ModelFLOWs is a reserach group that is part of the Department of Applied Mathematics at ETSIAE-UPM. ModelFLOWs is currently involved in 6 national and EU funded projects, and has also collaborated with universities from all around the world.
ModelFLOWs' main goal is to develop mathematical models applied to two research lines. The first one seeks to minimize the impact of environmental pollution by improving aircraft energy efficiency, reducing pollution originated by different combustion systems, and developing strategies to reduce air pollution in urban areas. The second aims to advance in personalized medicine and the early detection of cardiovascular diseases.
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Tools Used by ModelFLOWs
Numerical Simulations
We compute fluid dynamics simulations on open sources (i.e. Nek5000, OpenFOAM).
Reduced Order Models
We apply reduced order model (i.e. POD, DMD, HODMD) to analyze databases of various fields.
Deep Learning
We employ machine learning and neural networks to reconstruct and predict a wide spectrum of databases.
ModelFLOWs group members
PhD students
Adrián Corrochano
- PhD student in Aerospace Engineering
- Academic background: BSc in Aerospace Engineering & MSc in Industrial Mathematics
- Research fields: Data Analysis, Machine Learning, Reduced Order Modeling, data-driven tools for patterns detection, turbulent combustion, complex flows
- International collaborations with: KTH, IMFT, ULB, OIST, Cranfield University and University of Sydney
Eneko Lazpita
- PhD student in Aerospace Engineering
- Academic background: BSc in Aerospace Engineering & MSc in Industrial Mathematics
- Research fields: CFD, Machine Learning, Reduced Order Modeling, Urban Flows, Channel Flow with Heat Transfer, Heart Flow
- National and International collaborations: KTH, Purdue University, CNIC, Hospital Puerta de Hierro and Harvard University
Rodrigo Abadia-Heredia
- PhD student in Aerospace Engineering
- Academic background: BSc in Mathematics & MSc in Industrial Mathematics
- Research fields: Data Analysis, Machine Learning, forecasting models applied to fluid dynamics problems, building robust algorithms for multiple types of flows
- International collaborations with: KTH and ULB
Ashton Ian Hetherington
- PhD student in Aerospace Engineering
- Academic background: BSc in Mechanical Engineering & MSc in Industrial Engineering
- Research fields: Machine Learning, Data Analysis, MLOps, Big Data, complex flows, other complex dynamical systems
- Industrial collaboration with: Boeing Research & Technology Europe
Christian Amor
- PhD student enrolled at Okinawa Institute of Science and Technology (OIST), Japan
- Academic background: BSc in Aerospace Engineering & MSc in Industrial Mathematics
- Research fields: CFD in complex fluids. Non-newtonian jet flows. Data Analysis, Reduced Order Models to speed up CFD simulations.
- International collaboration with: UPM (PhD thesis co-supervision)
Nourelhouda Groun
- PhD student in Applied Mathematics
- Research fields: Machine Learning, Reduced Order Models, fluid dynamics applied to medical imaging
- National collaboration with: CNIC (National Center of Cardiological Research)
Álvaro Manzano
PhD Student in Aerospace Engineering
Academic background: BSc in Mechanical Engineering & MSc in Industrial Mathematics
Research fields: CFD, pollutant dispersion, data analysis, machine learning, fluid dynamics forecasting models, uncertainty estimation and building robust algorithms for different types of flows
Marie Skłodowska-Curie Actions fellow
International collaborations with: KTH and ULB
Guillermo Barragán
PhD Student in Aerospace Engineering
Academic background: BSc in Mechanical Engineering, MSc in Project Management, MSc in Mechanical Engineering, Design and Simulation
Research fields: Optimization, Reduced Order Models, Computational Fluid Dynamics, Machine Learning, Data Analysis
Marie Skłodowska-Curie Actions fellow
International collaborations with: ULB and BuildWind
Arindam Sengupta
PhD Student in Aerospace Engineering
Academic background: B.Tech in Mechanical Engineering & MSc in Electromechanical Engineering
Research fields: Optimization, Reduced Order Models, Computational Fluid Dynamics, Machine Learning, Data Analysis
Marie Skłodowska-Curie Actions fellow
International collaborations with: Air Quality Consultants and ARUP
Prajith Pillai
PhD student in Aerospace Engineering
Academic background: BTech in Mechanical Engineering & MTech in Mechanical Design
Research field: Data Analysis, Dimensionality reduction, Reduced order modelling, Combustion, Machine Learning, Deep Learning.
Marie Skłodowska-Curie Actions fellow
International collaborations with: CNRS and MITIS
Paul Jeanney
PhD student in MODELAIR Project.
Academic background: BSc in Mechanical Engineering and Energy and MSc in Mechanical Engineering specialized in simulation
Research fields: CFD, Data Analysis, Machine Learning, forecasting models applied to fluid dynamics problems
Marie Skłodowska-Curie Actions fellow
International collaborations with: ULB, KTH, UoB.
Iñaki Gutiérrez
PhD student in Mathematics Engineering, Statistics and Operational Investigation (IMEIO)
Academic background: BSc in Physics, MSc in Physics and Mathematics, MSc in Mathematics and Applications.
Research Fields: Deep Learning, Applied Mathematics, Computational Physics, Data Analysis.
Industrial experience: GNSS Junior Engineer associated to the SouthPAN Project at GMV
Postdoctoral investigators
Andrés Bell, PhD
PhD in Communication Technologies and Services from ETSIT-UPM
Research fields: Big Data, Computer Vision, Deep Learning, Machine Learning, and Video and Image Analysis and Processing
Research experience: Research Associate at the Image Processing Group, GTI-UPM
National and International collaborations: Participation in the "Innolog” project, from the EIT Raw Materials. “Dirección General de Tráfico” (DGT) and Airbus
Mahesh Nagargoje, PhD
- PhD in Chemical Engineering from IIT Guwahati
- Research fields: CFD, Biofluid Mechanics, Cerebrovascular and heart hemodynamics
- Research experience: Research Associate at the Department of Neurosurgery, SCTIMST, India
- Marie Skłodowska-Curie Actions fellow
- International collaborations: IIT Madras and SCTIMST
International visiting PhD students
Eva Muñoz
- PhD student in Engineering and Technology Science at Université Libre de Bruxelles (ULB), Belgium.
- Research fields: Machine Learning, Data Analysis, Reduced Order Modeling on reactive and non-reactive flows for pattern extraction and speeding up combustion
Sofia Tagliaferro
- PhD student in Applied Health and Life Sciences at the University of Verona (UV), Italy.
- Research fields: environmental epidemiology, biostatistics, air pollution, aerobiology, climate change
Other members
Francisco J. García
- Academic background: BSc in Mechanical Engineering & MSc in Fluid Mechanics
- Fields of knowledge: numerical simulations using FEM and CFD methods, Machine Learning.
- Experience: work in international research facilities, governmental institutions as well as in private and state-owned companies
Juan Sánchez (MSc student)
- MSc student in Aeronautical Engineering at UPM.
- Research fields: CFD simulations, turbulent flows and urban environments.
- International collaboration with: TU-Delft
Daniel Serfaty (BSc student)
- BSc student in Aerospace Engineering at UPM
- BSc thesis (completed)
National and International collaborations list
Université Libre De Bruxelles (ULB) - Belgium
KTH Royal Institute of Technology (KTH) - Sweden
Technische Universiteit Delft (TU Delft) - Netherlands
Monash University - Australia
Harvard University - US
Boeing Research & Technology Europe (BR&TE) - Spain
Institut de Mécanique des Fluides de Toulouse (IMFT) - France
University of Bristol (UoB) - UK
Cranfield University (CU) - UK
University of Sydney (USYD) - Australia
Okinawa Institute of Science and Technology (OIST) - Japan
Università di Verona (UV) - Italy
Barcelona Supercomputing Center (BSC) - Spain
Centro Nacional de Investigaciones Cardiovasculares (CNIC) - Spain
Hospital Puerta de Hierro - Spain
ARUP - Spain
Microflown Technologies - Netherlands
Universidad Politécnica de Valencia - Spain
BuildWind - Belgium
Air Quality Consultants (AQC) - UK
RWTH Aachen University (RWTH) - Germany
Centre national de la recherche scientifique (CNRS - CORIA) - France
Consiglio Nazionale delle Ricerche (CNR – STEMS) - Italy
Università degli Studi di Napoli Federico II (UNINA) - Italy
Purdue University (PU) - United States
For more information please visit the ModelFLOWs official website