Research Interests

Brain-Computer Interfaces for:

  • patients with movement disabilities and
  • Human-Robot Collaboration.

Work with students

Research projects for master students:

If you want to do a project in the field of Brain-Computer Interface please send me your CV and transcript of records (of your Bachelor and Master studies) on my email.


SS23 Master seminar - From neuroscience to neurotechnology - brain connectivity, motor control, Brain-Computer Interfaces, haptics, and embodiment - leading the Motor-Imagery Brain-Computer Interfaces topic

Past student projects:

  • Artificial Neural Network for Detecting Error Related Potentials from Self-related and Agent-related Errors - Hanane Moha ouchane
  • Error-related potentials in cooperative human-robot pick-and-place tasks - Oscar Soto Rivera
  • Comparison of Classification Methods for Four Class Motor Imagery Problem - Jesus Andres Varona Camacho



  • Dimova-Edeleva, V., Ehrlich, S. K., & Cheng, G. (2022). Brain computer interface to distinguish between self and other related errors in human agent collaboration. Scientific Reports12(1), 20764. full article, summary
  • Dimova-Edeleva, V., Hu, T., Zavaglia, M., Jensen, E. R., & Hadddin, S. (2022). Movement Primitives of the Shoulder-Arm in Activities of Daily Living. In 31st NCM Annual Meeting. more
  • Dimova, V., Ehrlich, S. K., & Cheng, G. (2020).  ErrP Components of Self- and Agent-Related Errors in Human-Agent Collaboration. BCI: Science & Practice, Samara 2020. more

Working Experience

  • 10.2020 - today: Research Associate, Munich Institute of Robotics and Machine Intelligence, TUM
  • 10.2019 - 08.2020: Working Student, Institute for Cognitive Systems, TUM
  • 02.2018 - 08.2019: Working Student, Brainlab AG
  • 12.2017 - 02.2018: Working Student, Mr Beam


  • Master of Science with honours in Neuroengineering, TUM
  • Bachelor of Science in Electrical and Information Technologies, University "St. Cyril und Methodius" - Skopje