Alexander Zhigalov's ultimate goal is to understand the neural mechanisms underlying cognitive functions (e.g. attention) and to develop novel neuromodulation techniques to tune these mechanisms. He uses primarily magneto- and electroencephalography to acquire brain activity in different cognitive tasks and applies a wide range of signal processing and machine learning methods to analyse the neuroimaging and behavioural data. His research is directly translated into the development of diagnostic and prognostic biomarkers to be used in clinical settings as well as the development of novel treatment approaches.

• Brain-computer interfaces 
• Neuroimaging including magnetoencephalography (MEG) and electroencephalography (EEG)
• MEG/EEG signal processing 
• Applied machine learning
• Computational modelling of long-term temporal associations in neurophysiological signals

• PhD in Human Neuroscience (Moscow State University, Russia)
• MSc in Telecommunication Engineering (Vyatka State University, Russia)

• 2023 – date: Lecturer in Biomedical Engineering, Aston University
• 2021 – 2023: Research Fellow, Centre for Systems Modelling and Quantitative Biomedicine, University of Birmingham
• 2018 – 2021: Research Fellow, Centre for Human Brain Health, University of Birmingham
• 2016 – 2018: Postdoctoral Researcher, Department of Computer Science, University of Helsinki
• 2011 – 2016: Postdoctoral Researcher, Neuroscience Centre, University of Helsinki

• BE4NE1 Neural Engineering (2024-onwards; Aston University)
• BE1BP1 Biomedical Engineering Project 1 (2023-onwards; Aston University)
• BE2MB1 Medical Biophysics (2023-onwards; Aston University)
• EEG/MEG time series analysis (2015, 2017; University of Helsinki)

Email: [email protected]

Room: MB153G