Sun, Yuanchang

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Sun, Yuanchang Graduate Faculty

Positions

Associate Professor, Mathematics and Statistics , College of Arts, Sciences & Education

yuasun@fiu.edu

Website

biography

Dr. Yuanchang Sun, an assistant professor of mathematics, received his Ph.D. in applied and computational mathematics 2009 from Michigan State University. Before joining FIU, he has been working as a visiting assistant professor at Univ of California Irvine from '09-'12. He has been an assistant professor of FIU since August of 2012. Dr. Sun's research areas include 1) signal separations and decompositions, and data analysis; 2) mathematical modeling, analysis, and computations of light-matter interactions on microscopic scales; Over the years, he has made a number of publications and presentations in these topics, and he has taught a variety of courses including calculus, differential equations, numerical analysis, topics in mathematical modeling, etc. Over the past years, he has received several awards and honors including a collaboration grants for mathematician from Simons Foundation from 2016-2021. For the fall of 2016, he will be teaching calculus 3 and introduction to mathematical modeling.

research interests

Math Modeling and Computation in Signal Separation.

selected scholarly works & creative activities

Article
- 2021
  
  Lorentzian peak sharpening and sparse blind source separation for NMR spectroscopy. SIGNAL IMAGE AND VIDEO PROCESSING. 16:633-641.
  Full Text via DOI: 10.1007/s11760-021-02002-4 Web of Science: 000686034600001
- 2017
  
  GATE: an efficient procedure in study of pleiotropic genetic associations. BMC GENOMICS. 18.
  Full Text via DOI: 10.1186/s12864-017-3928-7 Web of Science: 000406619400001
- 2017
  
  Computational modeling of spectral data fitting with nonlinear distortions. SIGNAL IMAGE AND VIDEO PROCESSING. 11:651-658.
  Full Text via DOI: 10.1007/s11760-016-1006-2 Web of Science: 000399455400010
- 2016
  
  A geometric blind source separation method based on facet component analysis. SIGNAL IMAGE AND VIDEO PROCESSING. 10:19-28.
  Full Text via DOI: 10.1007/s11760-014-0696-6 Web of Science: 000369518500003
- 2014
  
  Ground detection by a single electromagnetic far-field measurement. JOURNAL OF COMPUTATIONAL PHYSICS. 273:472-487.
  Full Text via DOI: 10.1016/j.jcp.2014.05.027 Web of Science: 000339691700027
- 2014
  
  A SEMI-BLIND SOURCE SEPARATION METHOD FOR DIFFERENTIAL OPTICAL ABSORPTION SPECTROSCOPY OF ATMOSPHERIC GAS MIXTURES. INVERSE PROBLEMS AND IMAGING. 8:587-610.
  Full Text via DOI: 10.3934/ipi.2014.8.587 Web of Science: 000336894700012
- 2014
  
  A sparse semi-blind source identification method and its application to Raman spectroscopy for explosives detection. SIGNAL PROCESSING. 96:332-345.
  Full Text via DOI: 10.1016/j.sigpro.2013.09.010 Web of Science: 000330203500022
- 2012
  
  Nonnegative sparse blind source separation for NMR spectroscopy by data clustering, model reduction, and ℓ 1 minimization
  Full Text via DOI: 10.1137/110827223
- 2012
  
  A recursive sparse blind source separation method and its application to correlated data in nmr spectroscopy of biofluids. JOURNAL OF SCIENTIFIC COMPUTING. 51:733-753.
  Full Text via DOI: 10.1007/s10915-011-9528-9
- 2011
  
  Postprocessing and sparse blind source separation of positive and partially overlapped data. SIGNAL PROCESSING. 91:1838-1851.
  Full Text via DOI: 10.1016/j.sigpro.2011.02.007
- 2011
  
  Underdetermined sparse blind source separation of nonnegative and partially overlapped data. SIAM JOURNAL ON SCIENTIFIC COMPUTING. 33:2063-2094.
  Full Text via DOI: 10.1137/100788434
Conference
- 2011
  
  A recursive sparse blind source separation method for nonnegative and correlated data in NMR spectroscopy. DISTRIBUTED COMPUTING (DISC 2014). 81-88.
  Full Text via DOI: 10.1007/978-3-642-23678-5_8
- 2011
  
  Content adaptive image matching by color-entropy segmentation and inpainting. DISTRIBUTED COMPUTING (DISC 2014). 471-478.
  Full Text via DOI: 10.1007/978-3-642-23678-5_56
- 2010
  
  Unique solvability of under-determined sparse blind separation of nonnegative and overlapped data. 70-77.
  Full Text via DOI: 10.2316/p.2010.710-017

principal investigator on

Nonnegative Signal Separation: Sparsity, Algorithms, and Applications awarded by Simons Foundation 2016 - 2024

co-principal investigator on

Grant
- Nonnegative Signal Separation: Sparsity, Algorithms, and Applications awarded by Simons Foundation 2016 - 2024

full name

Yuanchang Sun

ORCID iD

https://orcid.org/0000-0001-8534-4942 (confirmed)

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publication subject areas

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