Bohmani, Romberg Receive AISTATS Best Paper Award

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Atlanta, GA | Posted: May 15, 2017

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Jackie Nemeth

School of Electrical and Computer Engineering

404-894-2906

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Summary Sentence:

ECE's Sohail Bahmani and Justin Romberg received a Best Paper Award at the Artificial Intelligence and Statistics Conference, held April 20-22 in Fort Lauderdale, Florida.

Full Summary:

ECE's Sohail Bahmani and Justin Romberg received a Best Paper Award at the Artificial Intelligence and Statistics Conference, held April 20-22 in Fort Lauderdale, Florida. 

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  • Sohail Bahmani Sohail Bahmani
    (image/jpeg)
  • Justin Romberg Justin Romberg
    (image/jpeg)

Sohail Bahmani and Justin Romberg received a Best Paper Award at the Artificial Intelligence and Statistics Conference, held April 20-22 in Fort Lauderdale, Florida. Romberg is the associate chair for research and holds the Schlumberger Professorship in the Georgia Tech School of Electrical and Computer Engineering (ECE), and Bohmani is a postdoctoral fellow in Romberg’s research group.

Their paper is entitled "Phase Retrieval Meets Statistical Learning Theory: A Flexible Convex Relaxation,” and it presents a new methodology for solving a classic signal processing problem: reconstructing a signal from observations of the magnitude of a series of linear measurements.

The paper introduces a very tractable procedure for solving this problem based on linear programming, and the analysis of its effectiveness makes new connections between the theory of generalization (i.e., VC bounds) and convex programming. Phase retrieval arises in many scientific imaging applications, including astronomical imaging, x-ray crystallography, and certain kinds of microscopy such as Fourier ptychography.

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School of Electrical and Computer Engineering

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Student and Faculty, Research, Aerospace, Biotechnology, Health, Bioengineering, Genetics, Computer Science/Information Technology and Security, Engineering
Related Core Research Areas
Bioengineering and Bioscience, Data Engineering and Science, Electronics and Nanotechnology, National Security
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Keywords
Georgia Tech, School of Electrical and Computer Engineering, Justin Romberg, Sohail Bahmani, Artificial Intelligence and Statistics Conference, digital signal processing, statistical learning theory, phase retrieval
Status
  • Created By: Jackie Nemeth
  • Workflow Status: Published
  • Created On: May 15, 2017 - 3:57pm
  • Last Updated: May 15, 2017 - 3:57pm