Dimitris Fotis Sakellariou

phd neural engineering

I am a neuroengineer and AI scientist with a background in physics and digital signal processing. I am interested in decoding brain function using data driven paradigms in order to enable AI symbiosis.I am the developer of Neurocraft, the Microscale Neuroengineering Platform.

Senior AI Engineer - Deep Learning Lead @ IQVIA, London
- Design and development of in-house multimodal learning library to accelerate research to prod lifecycle
- In-house Deep Learning prediction service
- Temporal feature importance based on attentive RNN architectures
- Deployment of enterprise-level clusters for Neural Architecture Search
Data Science Fellow @ Faculty AI, London
- Deep tabular architecture models for rare disease detection
- Explainability feature development utilising step-wise saliency masks
- Fast-track development of real-world POC model
Postdoc @ King’s College London
- Developed software suite and UI for network modelling of brain activity https://github.com/Neurocraft/neurocraft
- Software development for several neuroengineering tooling projects
- Development and maintenance for in house tooling
- Overlooked and conducted more than 30 whole night EEG recordings
Grants and Awards
- NVIDIA GPU Grant Award £5,499 (PI):
‘Enhancing the value of Electroencephalography (EEG); automated modelling of epileptic brain networks for diagnosis and outcome prediction’
- MRC confidence in cencept grant award £58,139 (PI):
‘Is epilepsy a progressive disease? Seeking markers of disease-stage and treatment responsiveness’
King’s College London | St. Thomas' Hospital | University of Patras
PhD Computational Neuroscience
Specialisation: Neuroengineering, Applied Machine Learning
University of Patras
MEng Computer Science & Electrical Engineering
Specialisation: Computational Neuroscience and Artificial Intelligence
University of Patras
BSc Physics & Electrical Engineering
Specialisation: Digital Signal Processing


- Sakellariou DF , Prabhat Kumar, Aistis Stankevicius, Nicola Lazzarini and Avgoustinos FIllipopoulitis (2023) A Deep Learning Factory for Sequential Claims Data. PMSA Conference Proceedings 2023 [in press]
- Sakellariou DF and Richardson MP (2021) Neurocraft: Software for complex microscale brain network dynamics. Nature Sci Rep 11, 20716. https://doi.org/10.1038/s41598-021-99195-y
- Sakellariou DF, Sofia Dall’Orso, Etienne Burdet, Jean-Pierre Lin, Mark P. Richardson & Verity M. McClelland, Abnormal microscale neuronal connectivity triggered by a proprioceptive stimulus in dystonia (Nature Scientific Reports) doi:0.1038/s41598-020-77533-w
- Sakellariou DF, Nesbitt SD, Higgins S, Beniczky S, Rosenzweig J, Drakatos P, Gildeh N, Murphy PB, Kent B, Williams AJ, Kryger M, Goadsby PJ, Leschziner GD, Rosenzweig I (2020). Co-activation of rhythms during alpha band oscillations as an interictal biomarker of exploding head syndrome. (Cephalalgia) doi:10.1177/0333102420902705
2018- Sakellariou DF, Koutroumanidis M, Richardson MP, Kostopoulos GK: Cross-subject network investigation of the EEG microstructure: a sleep spindles study. J Neurosci Meth (2018). doi:10.1016/j.jneumeth.2018.11.0012017- Sakellariou DF, Richardson M, Kostopoulos GK and Koutroumanidis M (2017). Topography of Generalized Periodic Epileptiform Discharges in Post-anoxic Non-Convulsive Status Epilepticus. Epilepsia Open. doi: 10.1002/epi4.120732016
- Koutroumanidis M, Sakellariou DF, Tsirka V (2016). Oxford Textbook of Clinical Neurophysiology Chapter 11, 10th edition. doi: 10.1093/med/9780199688395.003.0011
- Sakellariou DF, Koupparis AM, Kokkinos V, Koutroumanidis M and Kostopoulos GK (2016). Connectivity measures in EEG microstructural sleep elements. Front. Neuroinform. 10:5. doi: 10.3389/fninf.2016.000052015
- Koutroumanidis M and Sakellariou DF (2015). Low frequency non-evolving generalised periodic epileptiform discharges and the borderline of hypoxic nonconvulsive status epilepticus in comatose patients after cardiac arrest. Epilepsy and Behavior. doi: 10.1016/j.yebeh.2015.04.060
- Koutroumanidis M, Sakellariou DF, Tsirka V (2014). "Paradoxical" EEG response to propofol may differentiate post-cardiac arrest non-convulsive status epilepticus from diffuse irreversible cerebral anoxia. Epileptic Disorders 16(4):510-7. doi: 10.1684/epd.2014.0711

Research Projects


Machine Learning & Artificial Intelligence Solutions Global Unit, Real World Solutions

IQVIA, London UKdimitrios.sakellariou@outlook.com

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