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Andrea Cimolato
Dr. Andrea CimolatoPost Doctoral Researcher at the Neuroengineering Lab

Center for Medical Physics and Biomedical Engineering
Position: Research Associate (Postdoc)

ORCID: 0000-0002-4095-0233
T +43 1 40400-17120
andrea.cimolato@meduniwien.ac.at

Further Information

Keywords

Bioengineering; Biomedical Engineering; Biomedical Technology; Brain-Computer Interfaces; Feedback, Sensory; Rehabilitation

Research interests

My research focus lies on developing advanced neuroengineering technologies to restore sensorimotor function and improve rehabilitation outcomes for individuals with disabilities. My work emphasizes invasive and non-invasive solutions that integrate neurostimulation, robotics, and artificial intelligence to restore motor control and sensory feedback.

I am also dedicated to pioneering telemedicine solutions for at-home rehabilitation and telemonitoring, ensuring scalable, accessible, and patient-centered care. Through strong collaborations with clinical partners, in our laboratory we lead rigorous testing and validation to bridge the gap between cutting-edge research and real-world clinical application.

I am committed to driving advancements in neuroprosthetics, rehabilitation robotics, and personalized healthcare technologies.

Techniques, methods & infrastructure

My expertise lies at the intersection of neuroscience, data modeling, and human-machine interaction:

  • Signal Processing and Data Modeling: Advanced methods for neural signal acquisition, processing, and modeling to developed novel bionics solutions.
  • Neurostimulation Technologies: Development and testing of invasive and non-invasive systems, including intraneural electrodes and transcutaneous electrical nerve stimulation.
  • Robotics and Prosthetics: Integration of robotics with neural technologies for sensorimotor restoration and rehabilitation, including control algorithms and human-robot interaction design.
  • Telemedicine and Telemonitoring: Designing and validating rehabilitation platforms and ensuring real-time patient monitoring forat-home healthcare solutions.
  • Human-Machine Interaction: Implementation of bidirectional interfaces for seamless integration between neural systems and assistive/rehabilitative devices.

Selected publications

  1. Cimolato, A. and Raspopovic, S. (2024) ‘Closing the sensory feedback loop is necessary for effective neurorehabilitation’, PLOS Biology, 22(10), p. e3002866. Available at: https://doi.org/10.1371/journal.pbio.3002866.