| Title: | Visiting Assistant Professor |
| Affiliation: | Department of Mathematics Michigan State University |
| Email: | aditya * math.msu.edu |
| Office: | Wells Hall, C 331 [Map] |
| Phone: | (517) 884 - 1519 |
| Mail: | Department of Mathematics Michigan State University 619, Red Cedar Rd., Wells Hall East Lansing, MI 48824 |
I am a Visiting Assistant Professor in the Department of Mathematics at Michigan State University. I work with Mark Iwen and Yang Wang (now at HKUST, Hong Kong) on applied and computational problems in phase retrieval, as well as problems in image and signal processing. I also work with Andrew Christlieb on efficient numerical methods for solving wave propagation problems in challenging geometries.
Between September 2010 and August 2013, I was a Postdoctoral Scholar in the Computing and Mathematical Sciences department at Caltech. I worked with Oscar Bruno in developing large scale PDE solvers for simulating electromagnetic phenomena. I also collaborated with a multi-disciplinary, multi-institution research group developing novel magnetic drug delivery strategies.
I received my Ph.D. and M.S. degrees in Electrical Engineering from Arizona State University under the supervision of Anne Gelb and Douglas Cochran. My dissertation studied reconstruction methods for non-uniformly sampled Fourier data with applications to MR imaging. I obtained my B.E. in Electronics and Communication Engineering from R.V. College of Engineering, Bangalore, India.
News and Travel
Starting September 1st 2017, I will be joining the Department of Mathematics and Statistics, University of MIchigan - Dearborn as a tenure-track Assistant Professor.
Mark Iwen, Rayan Saab and I will be organizing a special workshop titled Phaseless Imaging in Theory and Practice: Realistic Models, Fast Algorithms, and Recovery Guarantees at the Institute for Mathematics and its Applications (IMA), University of Minnesota, Minneapolis from August 14–18, 2017.
I will be participating in the HKUST – ICERM International Program on Phase Retrieval: Theory, Application and Algorithms at The Institute for Computational and Experimental Research in Mathematics (ICERM), Brown University, Providence, RI from June 5–18, 2017.
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.
Mark Iwen, I and Yang Wang have had our paper on Fast Phase Retrieval from Local Correlation Measurements accepted into the SIAM Journal on Imaging Sciences.