Praveen Sripad

Scientific Software Engineer
Max Planck Institute for Empirical Aesthetics

Praveen earned his B.E. in Medical Electronics at Visvesvaraya Technological University, India and his M.Sc. in Biomedical Engineering at RWTH Aachen University, Germany. He brings with him 7 years experience as a Research Scientist (MEG Group) at Institute of Neuroscience and Medicine (INM4), Forschungszentrum Juelich GmbH, Juelich, Germany and prior to that, he was a Research Assistant Institute of Medical Informatics, Uniklinik, RWTH Aachen, Germany.

Praveen’s main research interests include systems neuroscience approaches to understand functional interactions in the human brain, M/EEG signal processing and data analysis. More generally, Praveen is dedicated to reproducibility in neuroimaging, open science data & metadata management.

Significant Contributions to COGITATE include:

 
 

Key Publications

  • Rosenberg J, Dong Q, Florin E, Sripad P, Boers F, Reske M, et al. Conflict processing networks: A directional analysis of stimulus-response compatibilities using MEG. PLoS One. 2021;16(2 February):1–17. doi:10.1371/journal.pone.0247408

  • Effect of Zolpidem in the Aftermath of Traumatic Brain Injury: An MEG Study. Sripad P, Rosenberg J, Boers F, Filss CP, Galldiks N, Langen K-J, et al.
    Case Rep Neurol Med. 2020 Mar;2020:1–8. doi:10.1155/2020/8597062

  • Deep Learning Approach for Automatic Classification of Ocular and Cardiac Artifacts in MEG Data.
    Hasasneh A, Kampel N, Sripad P, Shah NJ, Dammers J. J Eng (United States). 2018;2018. doi:10.1155/2018/1350692