Fabio Rossi

Fabio Rossi's picture

Research Assistant
Department of Electronics and Telecommunications (DET)

Profile

Research interests

Applied artificial intelligence
Biomedical signal processing
Edge-computing systems
Event-based electronic
Functional rehabilitation
Human-machine interaction
Internet of things
Low power electronics
Surface electromyography
Wearable electronic devices
Wireless sensor network

Biography

Fabio Rossi (Pinerolo, IT, 1992) received his M.Sc. in Biomedical Engineering and his Ph.D. in Electronic Engineering from Politecnico di Torino (Turin, IT) in 2017 and 2022, respectively. Since 2016, he has been a member of the Micro and Nano Electronic System (MiNES) laboratory inside the Department of Electronics and Telecommunications (DET) of the Politecnico di Torino, where he is currently working as a post-doc researcher. Thanks to the fusion of his bio-electronic engineering skills, enriched by the visiting experience (Feb. - June 2019) at the Motion Analysis Lab inside the Spaulding Rehabilitation Hospital (Boston, MA) and by the current collaboration (2020 - ongoing) with Omnidermal Biomedics company (Parma, IT) in developing innovative products, he is constantly improving his expertise inside and outside the academy. The main activities consist of designing and developing low-power intelligent wearable devices to assess and process body movements (e.g., by analyzing muscular data through surface Electromyography - sEMG) during daily-life actions and their application in different biomedical scenarios. These include smart IoT systems for long-term healthcare monitoring, enhanced real-time systems for functional recovery and rehabilitation (e.g., active control of electrical stimulation - FES), and wearable embedded recognition systems (mainly dedicated to hand gestures and facial expressions) suitable for human-machine interfaces (HMI) and serious game therapy.

Curriculum

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Skills

ERC sectors

PE7_11 - Components and systems for applications (in e.g. medicine, biology, environment)
LS7_14 - Digital medicine, e-medicine, medical applications of artificial intelligence
LS7_12 - Health care, including care for the ageing population
PE6_9 - Human computer interaction and interface, visualisation
PE6_11 - Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
LS7_2 - Medical technologies and tools (including genetic tools and biomarkers) for prevention, diagnosis, monitoring and treatment of diseases

SDG

Goal 3: Good health and well-being

Teaching

Teachings

Bachelor of Science

  • Elettronica. A.A. 2023/24, INGEGNERIA BIOMEDICA. Collaboratore del corso

Publications

Last years publications

PoliTO co-authors

Publications by type

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