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Phase Retrieval Problem Results: A Lecture by Dr. Radu Balan
Start Date: 1/13/2014Start Time: 11:00 AM
End Date: 1/13/2014End Time: 12:00 PM
Event Description
The College of Computing & Informatics Winter 2014 Speaker Series Presents:

“Analysis and Algorithms for the Phase Retrieval Problem”
A Joint Math and Computer Science Lecture
By Dr. Radu Balan
Department of Mathematics
Center for Scientific Computation and Mathematical ModelingRad
University of Maryland

Monday, January 13, 2014
11:00 a.m. – 12:00 p.m.
A lunch with Dr. Balan will be held following the lecture. Please email Dr. Krzysztof Nowak at kn33@drexel.edu if you would like to attend.

University Crossings, Room 153
3175 JFK Blvd
Philadelphia, PA 19104

RSVP for this event at http://bit.ly/1eZ5XnH
This lecture will be recorded and available for later viewing at the College of Computing & Informatics YouTube page.


About the Talk
The phase retrieval problem presents itself in many applications is physics and engineering. Recent papers on this topic present examples ranging from X-Ray crystallography to audio and image signal processing, classification with deep networks, quantum information theory, and fiber optics data transmission. The problem is to reconstruct a vector in a Hilbert space, up to a global phase factor, from magnitudes of inner products with vectors of a given frame. Two fundamental problems are: (i) analysis of frame sets when inversion is possible; and (ii) efficient algorithms to perform inversion, when possible. In this talk, Dr. Balan will describe recent results regarding these problems including descriptions of the Cramer-Rao lower bound as well as other robustness measures for any inversion algorithm.

About the Speaker
Dr. Radu Balan received the B.S. degree in E.E. from Polytechnic Institute of Bucharest (1992), B.S. in Physics from University of Bucharest (1994), both in Romania, and the Ph.D. degree in Applied Mathematics from Princeton University in 1998. During the year 1998-1999 he was a postdoctoral associate at IMA (Minneapolis, MN) jointly with IBM T.J. Watson (Hawthorn, NY). From 1999 to 2007 he was a (Senior) Research Scientist with Siemens Corporate Research, in Princeton, NJ, working on the Blind Source Separation problem and other statistical signal processing algorithms. In 2007 he joined the University of Maryland in the Department of Mathematics and the Center for Scientific Computation and Mathematical Modeling (CSCAMM) where he currently is a Professor in Applied Mathematics. His research interests include applied harmonic analysis, statistical data processing and machine learning.
Contact Information:
Name: Jennifer Lally
Phone: 2158951077
Email: jl352@drexel.edu
Location:
University Crossings, Room 153
3175 JFK Blvd
Philadelphia, PA 19104
Audience:
  • Alumni
  • Current Students
  • Faculty
  • Staff
  • Special Features:
  • Online Access

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