Researcher biography

Dr. Reza Bonyadi is a postdoctoral research fellow at the Centre for Advanced Imaging (CAI). His main interests fall into the following topics:

  • Brain decoding: Brain decoding aims to “read someone’s mind”, i.e., look at someone’s brain and extract information. By looking at fMRI or EEG data, there has been some progresses on decoding simple concepts in the brain especially during the perception of concepts in images (e.g., bottle vs cat). The vision is to take this to the next level and “mind read” in real-time during daily activities.
  • Seizure prediction: The main aim of seizure prediction is to assist patients with Epilepsy who suffer from spontaneous seizures. As spontaneous seizure may influence daily activities of these patients, predicting the time of the occurrence of the seizure (even by 1-2 minutes) may raise their awareness and help them to prepare themselves beforehand. The vision is to design a device that these patients can use (e.g., a mobile app) that alert them before the seizure.
  • Analysis of brain networks: Wherever there are interactions between entities, there is a room for networks and graphs analyses. Thanks to standard brain atlases, the brain can be also looked at as a set of entities (regions) that work together to accomplish tasks. The vision is to explain why/how the brain works the way it does through application of network/graph analysis techniques to brain connectivity (structural or functional).
  • Neurogaming: Neurogaming is a very young field of research that aims at replacing gamepads with direct brain orders! New technologies provide the opportunity to read brain activities with a high level of temporal resolution and fair amount of spatial information. The vision is to collect direct brain orders, decode them, and use them to influence the game environment, i.e., play a computer game without a gamepad.
  • Other topics: Human-swarm interaction (control a swarm of semi-autonomous robots from distance and make them do things using your brain), Evolutionary computation and optimisation (optimisation in continuous space), and Image processing (enhancement, compression, and understanding).