N. Laskaris received the Ph.D. degree in Computational Intelligence techniques for Brain Signal Processing (‘98) from Patras University, Greece.

He joined, in 1999, the Human Brain Dynamics lab., of Cognitive Brain Science group, in Brain Science Institute, BSI-RIKEN, Japan and worked for 4 years, mostly, in the field of NeuroInformatics.

His postdoctoral research work at RIKEN was focused, mainly, on the development of Single-Trial Analysis methodologies for elucidating the real-time information processing within the human brain.  Additionally, he participated in many studies revealing the pattern formation properties of the intact brain and offering a better insight into its complex behavior.

He received a postdoctoral research grant from the Greek-GSRT (program ENTER-2001) with the research subject being the development of neuromorphic signal processing methodologies for the efficient handling of large image databases and carried at ELLAB (Patras University) during the academic year 2003-2004.

In 2004 he joined the AIIA-lab (Artificial Intelligence and Information Analysis Laboratory, School of Informatics, Faculty of Science, Aristotle University of Thessaloniki), as a postdoctoral researcher participating in the ‘‘BIOPATTERN’’ Network of Excellence.

He has been a faculty member of Informatics Dept. in AUTH, since 2005. Currently he is an Associate Professor. The list of graduate and postgraduate courses taught by N.L. includes Digital Signal Processing, Biomedical Signal Processing, Brain Computer Interfaces, Neural Networks and Computational Intelligence. He has supervised 5 PhD theses and 30 master-theses.

In 2013, he founded the NeuroInformatics.GRoup, http://neuroinformatics.gr an interdiscipline research group that aims at revolutionizing the way that the analysis of neural and neuroimaging data is performed.

He has participated in many EC-funded projects, including the H2020 MAMEM project.

His current research interests include signal analysis, computational intelligence, artificial intelligence, data mining, nonlinear dynamics and their applications in neuroscience and biomedicine. He is a co-author of more than 150 scientific papers (80 in peer-reviewed journals).

A complete list can be found at his ResearchGate profile : https://www.researchgate.net/profile/Nikos_Laskaris

and Google scholar  profile :  https://scholar.google.gr/citations?user=uG8cgA4AAAAJ&hl=en

In 2021, being on sabbatical leave, he joined the department of computing at Imperial College London, co-funded the startup Cogitat and started exploring the possibilities of embedding BCI-research within VR/AR environments.