Aditya Viswanathan

Title: Assistant Professor
Affiliation: Dept. of Mathematics and Statistics
University of Michigan - Dearborn
Email: adityavv * umich.edu
Office: 2077 CASL Bulding  [Map]
Phone: (313) 593 - 5229
Mail: Dept. of Mathematics and Statistics
2014 CASL Building
University of Michigan - Dearborn
4901 Evergreen Road
Dearborn, MI 48128

I am an Assistant Professor in the Department of Mathematics and Statistics at the University of Michigan - Dearborn. Between September 2013 and August 2017, I was a Visiting Assistant Professor in the Department of Mathematics at Michigan State University. Prior to that, between September 2010 and August 2013, I was a Postdoctoral Scholar in the Computing and Mathematical Sciences department at Caltech. I received my Ph.D. and M.S. degrees in Electrical Engineering from Arizona State University and my B.E. in Electronics and Communication Engineering from R.V. College of Engineering, Bangalore, India.

My research interests include applied and computational harmonic analysis, signal processing, and numerical methods for large-scale scientific computation problems. More specifically, I am interested in inverse problems which arise in imaging applications (for example, image reconstruction problems in magnetic resonance imaging and the phase retrieval problem in X-Ray crystallography), as well as numerical methods for the solution of large-scale PDEs in challenging geometries (for applications such as targeted drug delivery and computational electromagnetics).


News and Travel

  • I will be presenting a talk on Phase Retrieval from Local (Ptychographic) Measurements as part of the special session on “Applied Harmonic Analysis: Frame Theory and Applications” at the AMS Fall Western Sectional Meeting being held at San Francisco State University on October 27 and 28 2018.

  • I will be presenting a talk on Reconstructing Signals from Magnitude-Only Measurements at the Second International Conference on Mathematics of Data Science (ICMDS 2018) being held at Old Dominion University, Norfolk, VA on November 3 and 4 2018.

  • Mark Iwen, Brian Preskitt, Rayan Saab and I have a new paper on Phase Retrieval from Local Measurements: Improved Robustness via Eigenvector-Based Angular Synchronization.