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Staff

Marco Ghislieri

Fixed-term assistant professor
Department of Electronics and Telecommunications (DET)

  • Member of Interdepartmental Center PolitoBIOMed Lab - Biomedical Engineering Lab

Profile

Keywords

Artificial intelligence
Biomedical signal processing
Human movement analysis
Motor control
Neuroengineering
Rehabilitation

Biography

Fixed-term researcher at the Department of Electronics and Telecommunications. His work lies within bioengineering and neuroengineering, with a focus on multimodal analysis of human movement and motor control through the processing of electromyographic (EMG), electroencephalographic (EEG), magneto-inertial (MIMU), and near-infrared spectroscopy (NIRS) signals. He develops advanced methods for movement analysis and applies artificial intelligence algorithms (LSTM, 1D-CNN) to interpret neuromuscular signals. He investigates digital biomarkers of movement disorders (Parkinson’s disease, chronic ankle instability, low back pain, ACL injury, motor frailty), develops algorithms for automatic muscle activation detection, designs wearable sensor systems, and analyzes the neuro-mechanical effects of rehabilitation interventions and passive exoskeletons by evaluating changes in muscle activation patterns. In parallel, he applies machine learning to large clinical datasets—especially in hematology—contributing to the development of prognostic models and clinical decision-support tools. A key dimension of his research is its strong social impact: his work aims to improve patients’ quality of life through more objective, early, and personalized assessments, enabling more efficient clinical workflows and broader access to advanced technologies for diagnosis, monitoring, and rehabilitation.

Scientific branch

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

Research topics

  • Artificial intelligence algorithms for motor control assessment and precision medicine
  • Digital biomarker identification for movement disorders and rehabilitation assessment.
  • Innovative techniques in neuro-engineering and neural computation
  • Multimodal human movement analysis

Skills

ERC sectors

PE6_7 - Artificial intelligence, intelligent systems, natural language processing
LS4_8 - Impact of stress (including environmental stress) on physiology
LS5_18 - Innovative methods and tools for neuroscience
PE6_11 - Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
LS5_5 - Neural networks and plasticity
LS5_11 - Neurological and neurodegenerative disorders

SDG

Goal 3: Good health and well-being
Goal 4: Quality education

Awards and Honors

  • My Research in 3 Minutes conferred by Politecnico di Torino, Italy (2019)
  • Premio Dottorato GNB 2022 conferred by Gruppo Nazionale Bioingegneria - GNB, Italy (2022)
  • Carlo J. De Luca Award conferred by ISEK - International Society of Electrophysiology and Kinesiology, Italy (2022)
  • Best Poster Award at M. Grattarola Neuroengineering Summer School 2022 conferred by IEEE Sensors Council Italy Chapter, Italy (2022)

Editorial boards

  • SCIENTIFIC REPORTS (2024-), Associate Editor of magazine or editorial series
  • APPLIED BIONICS AND BIOMECHANICS (2024-), Associate Editor of magazine or editorial series
  • FRONTIERS IN NEURAL CIRCUITS (2024-2025), Guest Editor of magazine or editorial series

Other research or teaching roles outside Politecnico

  • Professore a contratto, presso Università degli Studi di TORINO

Teaching

Collegi of the degree programmes

Teachings

PhD

MostraNascondi A.A. passati

Master of Science

MostraNascondi A.A. passati

Bachelor of Science

MostraNascondi A.A. passati

Research

Research fields

Research projects

Projects funded by competitive calls

Supervised PhD students

  • Lorenzo Locoratolo. Programme in Bioingegneria E Scienze Medico-chirurgiche (41st cycle, 2025-in progress)
    Research subject: Development of neuroengineering methodologies and AI-based wearable solutions to quantify physiological stress and dual-task effects on motor and cognitive performance in real-world environments.
    Motor control, neuroengineering and rehabilitation engineering
    ICT and smart sensors for eHealth
    Biomedical signal and image processing
    Motor control, neuroengineering and rehabilitation engineering
    ICT and smart sensors for eHealth
    Biomedical signal and image processing
  • Fabrizio Sciscenti. Programme in Bioingegneria E Scienze Medico-chirurgiche (39th cycle, 2024-in progress)
    Research subject: Neuroengineering techniques to support clinicians in the management of patients with Parkinson's Disease undergoing Deep Brain Stimulation Neurosurgery
    Computer Science
    Motor control, neuroengineering and rehabilitation engineering
    Biomedical signal and image processing
    Computer Science
    Motor control, neuroengineering and rehabilitation engineering
    Biomedical signal and image processing

Other activities and projects related to research

Relevant projects

2023 - 2026: Nationally funded research - PRIN - "Effects of bilateral subthalamic nucleus deep brain stimulation on gait analysis and muscle synergies of patients affected by advanced Parkinson's disease during dual-task walking" (Team member)

Publications

Last years publications

Latest publications View all publications in Porto@Iris