Sunil K. Narang

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Sunil K Narang

Ph.D. student (CV)

Department of Electrical Engineering - Systems

University of Southern California

Los Angeles, CA

E-mail: kumarsun@usc.edu

Advisor: Antonio Ortega

Research Interests

  • Signal Processing on Graphs
  • Image Processing
  • Wavelet Transforms

Education

  • Aug. 2007-present: University of Southern California, Los Angeles, CA
    • Ph.D. student, Department of Electrical Engineering-Systems
  • Aug. 2001-Jun. 2005: Indian Institute of Technology, Delhi
    • Bachelor of Technology in Electrical Engineering, Jun. 2005, Department of Electrical Engineering


Professional Experience

  • IBM India Research Lab: Dec 2005 - July. 2007
    • Technical Staff Member in Systems, High Performance Computing Group
  • Mascon Life Sciences: Sep 2005 - Dec. 2005
    • Executive Software Engineer
    • Design and development of bioinformatics projects like Gel Image Analysis, QTL Mapping and Gene Prediction.

Fellowships / Awards

Journal Publications

  • S. K. Narang and Antonio Ortega, "Perfect Reconstruction Two-Channel Wavelet Filter-Banks For Graph Structured Data", Tech. Rep. arXiv:1106.3693v2, June 2011 PDF format, Matlab Toolbox
  • S. Kumar, R. Gupta, N. Khanna, S. Chaudhury and S.D. Joshi, "Text Extraction and Document Image Segmentation Using Matched Wavelets and MRF Model,". IEEE Transactions on Image Processing, : vol.16, no.8, pp.2117-2128, Aug. 2007

Conference Publications

  • S.K. Narang and A. Ortega, "Downsampling Graphs Using Spectral Theory",IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP'11), PDF format, Poster
  • J. P.-Trufero, S.K. Narang and A. Ortega, "Distributed Transforms for Efficient Data Gathering in Arbitrary Networks",To appear in Intl. Conf. on Image Proc. (ICIP'11),
  • G. Shen, W.-S. Kim, S. K. Narang, A. Ortega, J. Lee, and H. Wey, "Edge-adaptive transforms for efficient depth-map coding," in Proc. of 28th Picture Coding Symposium (PCS ‘10), Nagoya, Japan, Dec. 2010.PDF format
  • S.K. Narang and A. Ortega, "Local Two-Channel Critically Sampled Filter-Banks On Graphs",Intl. Conf. on Image Proc. (ICIP'10), PDF format, Poster
  • S.K. Narang, G. Shen and A. Ortega, "Unidirectional Graph-based Wavelet Transforms for Efficient Data Gathering in Sensor Networks". To Appear in 2010 IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP'10), Dallas, April 2010. PDF format
  • S. K. Narang and A. Ortega, "Lifting Based Wavelet Transforms on Graphs". In Proc. of 2009 APSIPA Annual Summit and Conference (APSIPA ASC 2009) Sapporo, Japan PDF format
  • G. Shen, S. K. Narang and A. Ortega, "Adaptive Distributed Transforms for Irregularly Sampled Wireless Sensor Networks". In Proc. of 2009 IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP'09), Taipei, April 2009. PDF format
  • A.R. Choudhury, A. King, S. Kumar and Y. Sabharwal, "Optimizations in financial engineering: The Least-Squares Monte Carlo method of Longstaff and Schwartz". In Proc. of 2008 IEEE International Symposium on Parallel and Distributed Processing. (IPDPS 2008):pp 1-11 April 2008
  • A. Gupta, S. Kumar, R. Gupta, S. Chaudhury, S. D. Joshi, "Enhancement of Old Manuscript Images". In Proc. of 2007 Ninth International Conference on Document Analysis and Recognition (ICDAR 2007): vol2 744-748 Sep. 2007
  • S. Kumar, N. Khanna, S. Chaudhury, S. D. Joshi, "Locating Text in Images using Matched Wavelets". In Proc. of 2005 Eighth International Conference on Document Analysis and Recognition (ICDAR 2005) : vol2 595-599 Sep. 2005

Course Reports

  • S. K. Narang, "Community detection in Social Networks using Wavelets". Semester Project Report: EE596(Wavelets) Fall 2008 USC PDF format
  • S. K. Narang, "Compress Sensing of Public Opinion in a Social Network Using Ising Model". Semester Project Report: EE599(Large Scale Systems and Message Passing Algorithms) Fall 2009 USC PDF format
  • S. K. Narang, "Low Dynamic Range (LDR) Video Camera System". Semester Project Report: EE586L(Advanced Digital Signal Processing Lab) Spring 2009 USC PDF format


Software