Summary
Dr. Dimitrios Adamos is an Honorary Senior Research Fellow for the Department of Computing of Imperial College London and the leader of the #MyBrainTunes experiment held in London’s Science Museum. He is also a co-founder and the CTO of Cogitat, an Imperial College spinout company that develops core AI/ML technology for brain wave decoding.
He holds a MEng in Electrical & Computer Engineering, an MSc in Medical informatics from the School of Medicine and a PhD in Neuroinformatics from the School of Biology of Aristotle University of Thessaloniki, Greece. His research work focuses on machine learning for real-life Brain-Computer Interface applications and has previously featured as invited technology demonstrator for the industry.
Selected Publications
Journal Articles
Barmpas K, Panagakis Y, Adamos DA, et al., 2023, BrainWave-Scattering Net: a lightweight network for EEG-based motor imagery recognition, Journal of Neural Engineering, Vol:20, ISSN:1741-2560
Barmpas K, Panagakis Y, Bakas S, et al., 2023, Improving Generalization of CNN-Based Motor-Imagery EEG Decoders via Dynamic Convolutions, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Vol:31, ISSN:1534-4320, Pages:1997-2005
Bakas S, Adamos DA, Laskaris N, 2021, On the estimate of music appraisal from surface EEG: a dynamic-network approach based on cross-sensor PAC measurements, Journal of Neural Engineering, Vol:18, ISSN:1741-2560
Adamos DA, Laskaris NA, Micheloyannis S, 2018, Harnessing functional segregation across brain rhythms as a means to detect EEG oscillatory multiplexing during music listening, Journal of Neural Engineering, Vol:15, ISSN:1741-2560
Chapters
Laskaris N, Adamos D, Bezerianos A, 2023, Graph Theory for Brain Signal Processing, Handbook of Neuroengineering, Editor(s): Thakor, Springer Nature, ISBN:9789811655401
Conference
Wei X, Aldo Faisal A, Grosse-Wentrup M, et al., 2022, 2021 BEETL Competition: Advancing Transfer Learning for Subject Independence & Heterogenous EEG Data Sets, Pages:205-219