Director for Pediatric Image Computing
Yogesh received his Ph.D. in Electrical and Computer Engineering in 2006 from Georgia Institute of Technology, Atlanta. He obtained a Masters in Mathematics and a Bachelors in Electrical and Electronics Engineering from the Birla Institute of Technology and Science, Pilani, India.
His research interests lie in developing smart imaging techniques to understand brain structure and function. He has developed several compressed sensing algorithms for fast imaging of diffusion MRI — a technology that is now being used to obtain advanced MRI scans of children with ADHD (Attention-deficit Hyperactivity Disorder). His current research focus is on 1). Ultra-high resolution diffusion imaging combining acquisition and reconstruction, 2). estimating tissue microstructure from biophysical and stochastic models of diffusion, and 3). time-series analysis for understanding functional connectivity using fMRI, EEG or MEG data. His clinical research focus includes using and developing sophisticated tractography algorithms for precise targeting of deep-brain stimulation (DBS) and transcranial magnetic stimulation (TMS) in obsessive compulsive disorder (OCD), Parkinson’s, and major depressive disorder (MDD). His broad research focus is in the areas of signal and image-processing, statistics, control theory, machine learning, computer vision and related applications to solve inverse problems in medical imaging.