🎓Education

  • PhD in Advancing Transcranial Electrical Stimulation for Personalised Cognitive Enhancement.

  • MSc Cognitive and Computational Neuroscience

  • BEng (Hons) Mechatronic and Robotic Engineering

📝Publications

  • Toth, J., Kurtin, D. L., Brosnan, M., & Arvaneh, M. Opportunities and Obstacles in Non-Invasive Brain Stimulation. Frontiers in Human Neuroscience, 18, 1385427.

  • Wirth, C., Toth, J., & Arvaneh, M. (2023). Bayesian learning from multi-way EEG feedback for robot navigation and target identification. Scientific Reports, 13(1), 16925.

  • Toth, J., Patel, R., & Arvaneh, M. (2022, July). Electrophysiological correlates of response time in a vigilant attention task. In 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (pp. 2340-2343). IEEE.

  • Wirth, C., Toth, J., & Arvaneh, M. (2020). “You Have Reached Your Destination”: A Single Trial EEG Classification Study. Frontiers in neuroscience, 14, 495613.

  • Azab, A. M., Toth, J., Mihaylova, L. S., & Arvaneh, M. (2018). A review on transfer learning approaches in brain–computer interface. Signal processing and machine learning for brain-machine interfaces, 81-98.)

  • Wirth, C., Toth, J., & Arvaneh, M. (2020, July). Four-way classification of EEG responses to virtual robot navigation. In 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (pp. 3050-3053). IEEE.

  • Toth, J., & Arvaneh, M. (2017, July). Facial expression classification using EEG and gyroscope signals. In 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 1018-1021). IEEE.

👨‍💻Experience

  • Research Associate | University of Sheffield | Jul 2021 - Jul 2022

    Clinical trial and commercialisation of remote brain-computer interface based stroke rehabilitation called TeleRegain.

  • Research Associate | University of Sheffield | Nov 2020 - Feb 2021

    Inverse reinforcement learning for the Defence Science Technology Laboratory (DSTL).

  • Freelance Software Engineer | Feb 2020 - Nov 2020

    Using Python and MATLAB to solve technical problems for a variety of clients. Predominantly working in physiological signals processing, machine learning, and data visualization.

  • Software Engineer | VBC Instrument Engineering | Dec 2018 - Feb 2020

    Python based welding robotics systems used in the aerospace, automotive and nuclear industries.

  • Research Assistant | University of Sheffield | March 2017 - Jan 2018

    Assisting in all aspects of brain-computer interface research. Including writing machine learning code, experiment design, assisting in writing journal/conference papers and mentoring current students.

  • OnCampus Placement | University of Sheffield | Feb 2017 - June 2017

    Real-time signal acquisition and processing of physiological signals.

  • EPSRC funded study on brain-computer interfaces | University of Sheffield | June 2016 - Sep 2016

    An Engineering and Physical Sciences Research Council funded study on EEG based brain-computer interfaces.