Marco Agostino Deriu

Marco Agostino Deriu's picture

Full Professor (L. 240)
Department of Mechanical and Aerospace Engineering (DIMEAS)

  • Member of Interdepartmental Center PolitoBIOMed Lab - Biomedical Engineering Lab

Profile

Research interests

Artificial intelligence
E-health
Machine learning
Molecular modeling
Multiphysics modeling
Multiscale modelling
Pathology dynamics

Scientific branch

IBIO-01/A - Bioengineering
(Area 0009 - Industrial and information engineering)

Skills

ERC sectors

LS2_10 - Bioinformatics
LS1_8 - Biophysics (e.g. transport mechanisms, bioenergetics, fluorescence)
LS2_11 - Computational biology
LS7_8 - Health services, health care research
PE8_13 - Industrial bioengineering
LS1_1 - Molecular interactions
LS5_11 - Neurological disorders (e.g. Alzheimer’s disease, Huntington’s disease, Parkinson’s disease)

SDG

Goal 3: Good health and well-being

Other research or teaching roles outside Politecnico

  • Ricercatore, presso University of Applied Sciences of Southern Switzerland - (SUPSI) (1/4/2016-27/12/2018)

Teaching

Collegi of the degree programmes

Teachings

PhD

Master of Science

MostraNascondi A.A. passati

Research

Research groups

Research projects

Projects funded by competitive calls

Supervised PhD students

  • Karim Kassem. Programme in Bioingegneria E Scienze Medico-chirurgiche (39th cycle, 2023-in progress)
  • Pablo Romero Diaz. Programme in Bioingegneria E Scienze Medico-chirurgiche (38th cycle, 2022-in progress)
    Research subject: Developing the software architecture of the decision-tool platform to predict NDTrj.
    ICT and smart sensors for eHealth
    Computer Science
    Medical Innovation and Technology
    Biomedical signal and image processing
    ICT and smart sensors for eHealth
    Computer Science
    Medical Innovation and Technology
    Biomedical signal and image processing
    ICT and smart sensors for eHealth
    Computer Science
    Medical Innovation and Technology
    Biomedical signal and image processing
  • Syed Adil Hussain Shah. Programme in Bioingegneria E Scienze Medico-chirurgiche (38th cycle, 2022-in progress)
    Research subject: IoT Innovations for Early Diagnosis of Newborn Motor/Cognitive Impairments
    Computer Science
    Medical Innovation and Technology
    ICT and smart sensors for eHealth
    Biomedical signal and image processing
    Computer Science
    Medical Innovation and Technology
    ICT and smart sensors for eHealth
    Biomedical signal and image processing
  • Marco Cannariato. Programme in Bioingegneria E Scienze Medico-chirurgiche (37th cycle, 2021-in progress)
    Research subject: Multiscale mechanical analysis of subcellular structures
    Multiscale Modelling Methods in Biomechanics
    Multiscale Modelling Methods in Biomechanics
  • Konstantinos Panagiotopoulos. Programme in Bioingegneria E Scienze Medico-chirurgiche (37th cycle, 2021-in progress)
    Research subject: Bioinformatics
    Computer Science
    Computer Science
  • Enrico Piccinelli. Programme in Bioingegneria E Scienze Medico-chirurgiche (37th cycle, 2021-in progress)
    Research subject: 4D flow magnetic resonance and fluidodynamic in congenital heart disease
    Cardiac and Vascular Surgery
    Cardiovascular Engineering
    Cardiac and Vascular Surgery
    Cardiovascular Engineering
    Cardiac and Vascular Surgery
    Cardiovascular Engineering
  • Syed Taimoor Hussain Shah. Programme in Bioingegneria E Scienze Medico-chirurgiche (37th cycle, 2021-in progress)
    Research subject: Explainable machine learning aided computer vision targeting pathology dynamics
    Computer Science
    Medical Innovation and Technology
    Biomedical signal and image processing
    Computer Science
    Medical Innovation and Technology
    Biomedical signal and image processing
  • Marcello Miceli. Programme in Bioingegneria E Scienze Medico-chirurgiche (36th cycle, 2020-2024)
    Thesis: Insights Into the Molecular Mechanisms Driving Rare Neurodegenerative Diseases and Therapeutic Strategies Aided By In Silico Modelling
    Multiscale Modelling Methods in Biomechanics
    Multiscale Modelling Methods in Biomechanics
  • Michela Sperti. Programme in Bioingegneria E Scienze Medico-chirurgiche (36th cycle, 2020-2024)
    Thesis: Predicting Personalized Pathological Risks and Dynamics in Cardiology - How to Exploit Data-Driven Approaches in Clinical Decision Support Systems
    Computer Science
    Medical Innovation and Technology
    Multiscale Modelling Methods in Biomechanics
    Physiological mathematical modelling
    Biomedical signal and image processing
    Computer Science
    Medical Innovation and Technology
    Multiscale Modelling Methods in Biomechanics
    Physiological mathematical modelling
    Biomedical signal and image processing
    Computer Science
    Medical Innovation and Technology
    Multiscale Modelling Methods in Biomechanics
    Physiological mathematical modelling
    Biomedical signal and image processing
More PhD studentsLess PhD students

Publications

PoliTO co-authors

Latest publications View all publications in Porto@Iris