DrKonstantinos Barmpas

Currently, I am a Postdoctoral Research Associate at the Department of Computing, Imperial College London developing Generative Foundation Models for Biosignals used in Brain-Computer Interfaces (BCIs). I have been awarded the Fellowship Advance Higher Education (FHEA). I am a Member of European Laboratory for Learning and Intelligent Systems (ELLIS).

PhD Graduate in Computer Science (Artificial Intelligence) from the Department of Computing, Imperial College London, where I conducted my research under the supervision of Prof. Stefanos Zafeiriou. My doctoral thesis, titled “Enhancing Motor-Imagery Brain-Computer Interfaces Through Deep Learning,” explored intersections between Deep Learning and Brain-Computer Interfaces, including Differentiable Signal Processing, Geometric Deep Learning and Causality. My work has been published in top-tier AI venues and has been featured at the British Computing Society. I passed my PhD defence with no corrections and my thesis was awarded the 2nd Place in the G-Research’s Imperial College London PhD Prize 2024.

Since 2021, I have been working as a Machine Learning Engineer at Cogitat, where I develop innovative deep learning methods for EEG-based Brain-Computer Interfaces (BCIs). Our groundbreaking technology has been featured by outlets such as the Sky News, BBC, The Times, Telegraph, New Statesman, Sifted, and Business Insider. I have also participated in releasing interactive demos showcasing this technology.

My past working experience includes in short: Archimedes Research Unit (Visiting AI Researcher), Facesoft (Machine Leaarning / Software Engineering Intern), Daedalean AI(Machine Learning Thesis Project), Smart Power Networks (Data Scientist) and The Mouse Team (Android Developer).

In addition to my research, I have actively contributed to the academic community.

During my postdoc, I served as a Postdoctoral Academic Representative and as a member of the Department of Computing’s Equity, Diversity, and Culture Committee (EDCC) at Imperial College London. During my PhD, I served as a PhD Student Academic Representative for the Department of Computing (Imperial College London), co-organized the London Geometry and Machine Learning (LOGML) Summer School, led the Imperial Computing Conference (ICC) and participated in the Equity, Diversity, and Culture Committee (EDCC) at Imperial College London. I have also been involved as a Lakera AI Student Momentum Ambassador and Microsoft Student Ambassador. Furthermore, I have been a reviewer for many prestigious AI journals and conferences.

Prior to my PhD, I completed a Master of Engineering (MEng) at the Department of Electrical and Electronic Engineering, Imperial College London and spent my final year at ETH Zürich, conducting my Master’s thesis at Data Analytics Lab under the supervision of Prof. Thomas Hofmann.