Anveshna

Dr. Chandra Vaidyanathan, obtained his PhD from the University of Missouri-Columbia. He graduated with a Bachelor's Degree from the University of Madras in Electronics and Communications Engineering. He got his Master's Degree in Communications and Signal Processing from the University of Notre Dame. He transitioned from Engineering to Mathematics with a Master's Degree in Applied Mathematics from the University of Notre Dame.

He straddles between the theoretical world of Mathematics and the practical world of Signal Processing and Machine Learning. His areas of interest include Probability, Functional Analysis, Random Matrix Theory and its application areas such as Compressed Sensing and Machine Learning. He spent a Summer at Mathematical Sciences Research Institute (MSRI) in Berkeley and finished a year of study at the University of Michigan, Ann Arbor. He developed the algorithm that powered the washing machines of various manufacturers in Japan and Europe as a Software Engineer in Embedded DSP division of Analog Devices Inc. Recently, he was instrumental in developing a lossless video compression algorithm which performs as well as the standard ones, using Machine Learning techniques. He directed the research lab for IoT, Signal Processing and Machine Learning, iSIGMA lab at Dayananda Sagar University.

In addition to his research credentials, he is also very passionate about teaching. He was consistently rated among the top Teaching Assistants at the University of Notre Dame, University of Michigan, Ann Arbor and at the University of Missouri-Columbia. He was awarded the Award for Teaching Excellence by The Indus Foundation at the Indo American Education Summit in 2016. He was the mentor for the student project that was selected as the part of Team India at INTEL ISEF 2017.

He was also the Chairman of the Maths Department there and the Assistant Dean of Academics for the School of Engineering.