Challa Subrahmanya Sastry
(చల్లా సుబ్రహ్మణ్య శాస్త్రి)
Professor,
MA-302,
Department of Mathematics (and Department of AI)
Indian Institite of Technology, Hyderabad
Kandi, Sangareddy-502285, India
Email: csastry (AT) math (DOT) iith (DOT) ac (DOT) in
Phone (Office): +91 40 2359 6602
BIOGRAPHY
Education: PhD [IIT Kanpur, Advisor: Prof. P. C. Das], M.Sc(Tech) [JNT University, Hyderabad], B.Sc [Hindu College, Machilipatnam (Nagarjuna University)]
Professional Experience: Gained at University of Hyderabad, University of British Columbia, Vancouver, Canada and IIITDM Jabalpur, before joining IIT Hyderabad in 2009.
BROAD RESEARCH INTERESTS
Wavelets, Sparse Optimization Theory, Inverse Problems, and Data-driven learning methods
RESEARCH FOCUS/EXPERIENCE
Sparse optimization theory (popularly known as Compressive Sensing) is an interface area between Algebra and Optimization, which aims at providing some classes of linear systems with sparse (or economical) descriptions. Applications of this research area are far and wide in diverse fields including medical imaging.
My current research interests lie in Sparsity-driven optimization techniques and Mathematical aspects of deep learning along with their applications involving Inverse problems. In particular, our work deals with the inverse problems that arise in X-ray Tomography and Electrical Impedance Tomography. My previous research, nevertheless, was directed towards `Wavelets and Frame theory with applications in image analysis.’
