معرفی
Sepehr Shirani is a Research Fellow at the Max Planck UCL Centre for Computational Psychiatry and Ageing Research, University College London, actively contributing to the Applied Computational Psychiatry research group. His work bridges computational methods with clinical neuroscience applications.
His academic qualifications include:
- BSc in Electrical Engineering (2016) from Isfahan University of Technology, Iran
- MSc in Biomedical Engineering (2020) from K. N. Toosi University of Technology, Iran
- PhD in Computer Science (2024) from Nottingham Trent University, UK
Shirani's research centers on developing machine learning algorithms and adaptive signal processing techniques for neurological disorders, with particular emphasis on epilepsy diagnostics. He pioneers computational models that analyze brain responses to electrical stimulation, focusing on source localization of epileptiform discharges and separation of inhibitory/excitatory neural pathways. His methodological innovations in beamforming and iterative signal processing aim to improve precision in mapping epileptic brain networks for targeted clinical interventions.
Analysis of his 2022-2024 publications reveals a consistent trajectory in computational epilepsy research, where he integrates biomedical engineering principles with advanced AI techniques. His work demonstrates increasing sophistication in handling complex neural data, moving from basic response separation to developing novel beamforming solutions for precise source localization.
Shirani operates within the Applied Computational Psychiatry group at the Centre, collaborating across the institution's network of specialized research units including the Affective Brain Group and Lifespan Neural Dynamics Group to advance computational psychiatry methodologies.
