We are Tilburg University

We are Tilburg University

Bio

Future interaction between machines and humans requires a high level of awareness from the user's side and automatic communication of the user's commands and mental states to the machines. My research bridges the fields of brain-computer interfaces, robotics, and cognitive science by developing adaptive BCI systems that enhance the human-machine interaction and increase the human cognitive capacities. In the past, I focused on the sense of embodiment that operators experienced during BCI-operation of a humanlike robot and introduced a new neurofeedback training paradigm that could improve their learning of a motor imagery task. Currently, I am working on the development of BCI-controlled robots/avatars that monitor users' brain activity in real time and perform a user-specific therapeutic intervention.

Courses

Recent publications

  1. Brain-Computer Interfaces for Enhanced Human-Robot Interaction

    Alimardani, M., & Hiraki, K. (2019). Brain-Computer Interfaces for Enhanced Human-Robot Interaction. Frontiers in Robotics and AI.
  2. Brain-Computer Interface and Motor Imagery Training - The Role of Vis…

    Alimardani, M., Nishio, S., & Ishiguro, H. (2018). Brain-Computer Interface and Motor Imagery Training: The Role of Visual Feedback and Embodiment. In D. Larrivee (Ed.), Evolving BCI Therapy: Engaging Brain State Dynamics IntechOpen.
  3. Classification of EEG signals for a hypnotrack BCI system

    Alimardani, M., Keshimiri, S., Sumioka, H., & Hiraki, K. (2018). Classification of EEG signals for a hypnotrack BCI system. In 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
  4. Adjusting Brain Activity with Body Ownership Transfer

    Alimardani, M., Nishio, S., & Ishiguro, H. (2018). Adjusting Brain Activity with Body Ownership Transfer. In H. Ishiguro, & F. Dalla Libera (Eds.), Geminoid Studies: Science and Technologies for Humanlike Teleoperated Androids Springer.
  5. Exploring Minimal Requirement for Body Ownership Transfer by Brain–Co…

    Alimardani, M., Nishio, S., & Ishiguro, H. (2018). Exploring Minimal Requirement for Body Ownership Transfer by Brain–Computer Interface. In H. Ishiguro, & F. Dalla Libera (Eds.), Geminoid Studies: Science and Technologies for Humanlike Teleoperated Androids Springer.

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