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Signal processing and Bio-medical Imaging Lab

Led By Dr. Anubha Gupta

(Started in Jan 2014)

SBILab focuses on Signal Processing areas including applications of Wavelet Transforms, Machine (Deep) Learning, and Compressed Sensing, Sparse Reconstruction, fMRI/EEG/MRI/DTI Signal and Image Processing, Genomics Signal Processing, Signal Processing for Communication Engineering, and RF Energy Harvesting.

Collaborators are welcomed from Academia/Industry. Kindly contact Dr. Anubha Gupta( for further details.

Summer School on EEG Analysis and Allied Technologies (1-5 July 2019)
This summer school is an intensive five-day workshop providing the participants with the foundational knowledge in the widely used neuroimaging technique called Electroencephalography (EEG) and the upcoming related areas. It is tailored to gain insights into the basics of acquiring, processing and analyzing EEG signals along with a brief introduction of other physiological signals and neuroimaging techniques. This summer school will have talks by prominent researchers, clinical experts, and industry professionals to discuss the at-present researches and applications in allied topics such as brain mapping, wearables, public health, and assistive robotics. All teaching modules are accompanied by hands-on sessions and demonstrations. The hands-on session focuses on EEG-related techniques with a step-by-step tutorial for getting started with neuroimaging tools like EEGLAB, BCT, and MATLAB.
Audience: This summer school is targeted towards students, researchers, and professionals interested in learning about EEG.
For more information please visit our summer school portal. new

Available Ph.D. Position
A Ph.D. position is available for a motivated student, in the area of "Deep Learning in Communication Engineering". The work will be in collaboration with Dr. Vimal Bhatia (IIT Indore). Interested students especially with Ph.D. fellowships by CSIR, UGC JRF or DST-Inspire are strongly encouraged to apply. Please apply by submitting your detailed CV to new

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