Mainak Jas
Research Assistant
Tel: | +358 44 9224976 |
E-mail: | mainak.jas@telecom-paristech.fr |
Office: | 230a |
Group: | BRU |
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 |
Contents |
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
Education
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 |
Publications
Peer-reviewed journals
- 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]
- 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]
- 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]
- 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
- 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]
- 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
- 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).
Software
Check out my contributions to MNE-Python on my github page.