Mainak Jas

I am a PhD student with Alexandre Gramfort at Telecom ParisTech.
Earlier, I used to work at the Brain research unit with Riitta Hari and Lauri Parkkonen at Aalto University. Here is my old home page.
I have also worked with Devi Parikh as an intern at Virginia Tech.

BTech, Instrumentation Engineering from IIT Kharagpur (2012)
MSc Tech, Machine Learning and Data Mining from Aalto University (2015) [Masters thesis]

Research interests Machine learning, Signal Processing, Optimization
Profile on Google Scholar



Jas, M., Larson, E., Engemann, E., Leppakangas, J., Taulu, S., Hamalainen, M., and Gramfort, A.
MEG/EEG group study with MNE: recommendations, quality assessments and best practices.
bioarXiv, 240044. [Code]

Galan, JGN., Gorgolewski, K.J., Bock E., Brooks, T.L., Flandin, G., Gramfort, A., Henson, R.N.,
Jas, M., Litvak, V., Moreau, J., Oostenveld, R., Jan-Mathijs Schoffelen, Tadel, F., Wexler, J., Baillet, S.
MEG-BIDS: an extension to the Brain Imaging Data Structure for magnetoencephalography.
bioRxiv, 172684.


Jas, M., Dupré La Tour, T., Şimşekli, U., & Gramfort, A.
Learning the Morphology of Brain Signals Using Alpha-Stable Convolutional Sparse Coding.
In Advances in Neural Information Processing Systems (NIPS)[Code]

Jas, M., Engemann, D., Bekhti, Y., Raimondo, F., & Gramfort, A.
Autoreject: Automated artifact rejection for MEG and MEG data
Neuroimage. 159: 417-429. [Code]


Jas, M., Engemann, D., Raimondo, F., Bekhti, Y., & Gramfort, A.
Automated rejection and repair of bad trials in MEG/EEG
6th International Workshop on Pattern Recognition in Neuroimaging (PRNI)

Bekhti, Y., Strohmeier, D., Jas, M., Badeau, R., Gramfort, A.
M/EEG source localization with multi-scale time-frequency dictionaries
6th International Workshop on Pattern Recognition in Neuroimaging (PRNI)


Jas, M., & Parikh, D.
Image Specificity.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015. (Oral presentation) [Talk] [Project page]

Engemann, D, Raimondo, F., King, J.R., Jas, M., Gramfort, A., Dehaene, S., Naccache, L., Sitt, J.
Automated measurement and prediction of consciousness in vegetative state and minimally conscious patients.
Workshop on Statistics, Machine Learning and Neuroscience at the International Conference on Machine Learning (ICML)


Nangini C., Jas M., Fernandes HL and Muggah R.
Visualizing Armed Groups: The Democratic Republic of the Congo’s M23 in Focus.
Stability: International Journal of Security and Development. 3(1): 5, doi: 10.5334/sta.dd.


Gramfort A., Luessi, M., Larson E., Engemann D., Strohmeier D., Brodbeck C., Goj R., Jas M., Brooks T., Parkkonen L., & Hämäläinen M.
MEG and EEG analysis with MNE-Python.
Frontiers in Neuroscience. 7:267; doi: 10.3389/fnins.2013.00267.

Ramkumar, P., Jas, M., Pannasch, S., Hari R., & Parkkonen, L.
Feature-specific information processing precedes concerted activation in human visual cortex.
Journal of Neuroscience. 33(18): 7691-7699; doi: 10.1523/​JNEUROSCI.

Jas, M., Mukhopadhyay, S., Chakraborty J., Sadhu N. & Khandelwal N.
A Heuristic Approach to Automated Nipple Detection in Digital Mammograms.
Journal of Digital Imaging. 26(5): 932-940; doi: 10.1007/s10278-013-9575-x.


Jas, M., Chakraborty, J., & Mukhopadhyay, S.
An atlas based approach to segmenting MLO view mammograms.
International Conference on Informatics, Electronics & Vision (ICIEV), (pp. 7-11). IEEE; doi: 10.1109/ICIEV.2012.6317399.


I am a core contributor to MNE-Python, a software package for MEG and EEG data analysis.
My principle contributions are to the real-time module and the mne-report.
I also contribute to PyGLMnet in my free time.


mainak [dot] jas [at] telecom-paristech [dot] fr