Home Page of M. Subbarao

"Rao Transforms: A New Approach to Integral and Differential Equations",
      by Dr. Muralidhara SubbaRao (Rao), Second Edition, June 2007,
        self-published book, 130 pages,
       (First Edition U.S. Copyright Registration No. TX 6-195-821, June 1, 2005).

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M. Subbarao, 95 Manchester Ln, Stony Brook, NY 11790, USA. ]

Selected pages from the book (click on the link below)
Front cover, dedication page, copyright notice page, Preface, Table of contents, selected chapters, and Back cover (pdf).

*Expert and internationally recognized researchers who would like to review this research may request a free copy of this book by sending email to rao@integralresearch.net. The author may provide a copy of the book to a limited number of experts. Their reviews may be posted on this website.

Dr. Muralidhara SubbaRao (Rao) graduated with a B. Tech. degree in Electrical Engineering from the Indian Institute of Technology, Madras, and an M.S. and a Ph.D., both in Computer Science, from the University of Maryland at College Park. He is a Professor of Electrical and Computer Engineering at SUNY Stony Brook University. His teaching and research interests are Computer Vision and Digital Image Processing. He has been the Principal Investigator of research grants from industry and the National Science Foundation. He has authored two books, published over 50 papers in professional journals and conferences, and is the inventor of 4

U.S.

patents that have been licensed to industry. Three other patent applications are pending. He is a pioneer researcher in the field of Computer Vision who invented the Depth-from-Defocus technique that uses arbitrarily defocused images (without requirement of any focused image) for three-dimensional shape recovery. Ten students have completed their Ph.D. thesis research under his supervision. He was a principal member and the Chief Computer Scientist of a high-tech start-up company for online image management in 2000-2001. Most recently, he is the inventor of Rao Transforms (RTs) which provide a brand new approach to the century old problem of Integral and Differential Equations in Mathematical Physics and Engineering. RTs are also useful in shift-variant image and signal restoration, and in 3D Computer Vision through inverse optics.