M. Hashim Satti

M. Hashim Satti

Doctoral Candidate
Research interests: • cognitive and computational basis of decision making • neural correlates of action selection • neural signal processing • mathematical modelling • neural population encoding


Academic education

since 2020    Doctoral candidate, Max Planck School of Cognition, Leipzig
                        Doctoral research performed at Freie Universität Berlin
                        Supervisor: Hauke Heekeren

2018–2019   Master of Science in Cognitive and Computational Neuroscience, The University of Sheffield, UK

2013–2017   Bachelor of Electrical Engineering, National University of Sciences and Technology (NUST), Pakistan


Scientific awards

2019              David Marr Prize, The University of Sheffield, UK
2014–2017  Merit-based scholarship, NUST, Pakistan



Tariq, T., Satti, M., Kamboh, H., Saeed, M., & Kamboh, A. (2019). Computationally efficient fully-automatic online neural spike detection and sorting in presence of multi-unit activity for implantable circuits. Computer Methods and Programs in Biomedicine179:104986. doi:10.1016/j.cmpb.2019.104986


Poster presentations and talks

Tariq, T., Satti, M., Saeed, M., & Kamboh, A. (2017). Low SNR neural spike detection using scaled energy operators for implantable brain circuits. 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Jeju Island, Korea. doi: 10.1109/embc.2017.8037013



Photo: Anja Schneider

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