Mainak Jas

[My new home page]

Research Assistant

Tel:+358 44 9224976
Postal Address:Low Temperature Laboratory, Aalto University School of Science, P.O. Box 15100, FI-00076 AALTO, Finland
Schedule: finger -l mainak | tail -n 15


Research Interests

Development of neuroimaging methods and their clinical applications, Machine learning (and decoding approaches) in neuroscience, Brain Computer Interface (BCI), Computer Vision, Human Vision


2014 Aalto University MSc Tech Machine Learning and Data Mining
2012 IIT Kharagpur BTech (Hons) Instrumentation Engineering
2007 DPS RK Puram Class XII Science Stream


Peer-reviewed journals

  1. Nangini C., Jas M., Fernandes HL and Muggah R. 2014. 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. [Visualization] [Timeline] [BibTeX]
  2. Gramfort A., Luessi, M., Larson E., Engemann D., Strohmeier D., Brodbeck C., Goj R., Jas M., Brooks T., Parkkonen L., & Hämäläinen M. 2013. MEG and EEG analysis with MNE-Python. Front. Neurosci. 7:267; doi: 10.3389/fnins.2013.00267. [BibTeX]
  3. Ramkumar, P., Jas, M., Pannasch, S., Hari R., & Parkkonen, L. 2013. Feature-specific information processing precedes concerted activation in human visual cortex. J Neurosci. 33(18): 7691-7699; doi: 10.1523/​JNEUROSCI. [BibTeX]
  4. Jas, M., Mukhopadhyay, S., Chakraborty J., Sadhu N. & Khandelwal N. 2013. 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. [BibTeX]

Peer-reviewed conference proceedings

  1. Jas, M., Chakraborty, J., & Mukhopadhyay, S. (2012, May). An atlas based approach to segmenting MLO view mammograms. In Informatics, Electronics & Vision (ICIEV), 2012 International Conference on (pp. 7-11). IEEE; doi: 10.1109/ICIEV.2012.6317399. [BibTeX]
  2. Jas, M., & Parikh, D. Image Specificity. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015. [extended abstract][dataset explorer][demo][code and data]

Peer-reviewed workshop papers

  1. 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) 2015 (to appear).


Check out my contributions to MNE-Python on my github page.