Marco Agostino Deriu

Marco Agostino Deriu's picture

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

  • Vice Coordinator Collegio di Ingegneria Biomedica
  • 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 PhD programmes

  • BIOINGEGNERIA E SCIENZE MEDICO-CHIRURGICHE, 2024/2025 (40. ciclo)
    Politecnico di TORINO

Collegi of the degree programmes

Teachings

PhD

MostraNascondi A.A. passati

Master of Science

MostraNascondi A.A. passati

Research

Research groups

Research projects

Projects funded by competitive calls

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Supervised PhD students

  • Silvia Godio. Programme in Bioingegneria E Scienze Medico-chirurgiche (40th cycle, 2024-in progress)
    Research subject: The project aims to improve the efficiency, accessibility and safety of telemedicine, exploring advanced technologies that can enable a growing adoption.
    Medical Innovation and Technology
    Medical Innovation and Technology
  • Alexandra Tsipourakis. Programme in Bioingegneria E Scienze Medico-chirurgiche (40th cycle, 2024-in progress)
    Research subject: Cutting-edge bioengineering solutions for advancing organ transplants
    Computer Science
    Medical Innovation and Technology
    Biomedical signal and image processing
    Computer Science
    Medical Innovation and Technology
    Biomedical signal and image processing
    Computer Science
    Medical Innovation and Technology
    Biomedical signal and image processing
  • Karim Kassem. Programme in Bioingegneria E Scienze Medico-chirurgiche (39th cycle, 2023-in progress)
  • 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)
    Thesis: Molecular modeling of subcellular biological filaments: in silico approaches tailored to filament biomechanics
    Multiscale Modelling Methods in Biomechanics
    Multiscale Modelling Methods in Biomechanics
  • Konstantinos Panagiotopoulos. Programme in Bioingegneria E Scienze Medico-chirurgiche (37th cycle, 2021-in progress)
    Thesis: Bioinformatics and Machine Learning Approaches for Biomarker Discovery and Predictive Modelling
    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)
    Thesis: Multimodal AI Tools for Predicting Neurological and Neurodevelopmental Trajectories
    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
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Publications

PoliTO co-authors

Latest publications View all publications in Porto@Iris