Yenting Lin

Yenting (Greg) Lin (CV) (Resume) (Google Scholar) (LinkedIn)

Yenting Lin

• I finish my Ph.D. in Aug. 2013. Now I lead the Data Science/Machine learning group in Supplyframe [1].
• E-mail: yenting0322@gmail.com

Summary

• Experienced in Information Retrieval and Ranking for electronic part search. Managed a team in Supplyframe responsible for user behavior modeling, price estimation, and retrieving of Findchips [2] entities.

• Experienced in rigorous A/B testing and automated testing. Designed and implemented the search A/B testing tools and infrastructure from scratch at Facebook.

• Experienced in Distributed Systems and Massive Data Processing. We use Python and Spark to run large scale machine learning/data processing.

• Industrial Software Development skills with Python, Java and Scala.

• Advanced Knowledge on Signal Processing and Applied Mathematics. Have published 1 book chapter, 19 conference papers and 8 journal papers and won the student paper award in ICASSP 2007.

Specialties: Software Development, Search, Distributed System, Statistics, Optimization, Signal Processing

Research Interests

My research interest is to recover the low-dimensional structure from sparse (incomplete, corrupted) observations, and apply them to solve problems in signal processing (reservoir modeling and 3D object reconstruction)

• Transmission tomography for high contrast structures

• Compressive sensing and sparse structure exploitation in tight, unconventional reservoir

• Sparse reconstruction for X-Ray discrete tomography

• Group testing for well production measuring

• Signal processing for plenoptic camera

Education

• Sep. 2006-present: University of Southern California, Los Angeles, CA
  • Ph.D. student, Department of Electrical Engineering-Systems
• Sep. 2004-May. 2006: University of Southern California, Los Angeles, CA
  • Master of Science, Department of Electrical Engineering-Systems
• Sep. 1997-May. 2001: National Taiwan University, Taipei, Taiwan
  • Bachelor of Science in Engineering, School of Electrical Engineering and Computer Science

Academic Experience

• Research Assistant, Sep. 2007 - Present
  • Travel time tomography for high contrast media with sparse data
    • Develop algorithms to detect the high contrast structure with sparse water injection and oil production data.
  • Group testing for automatic well-testing system
    • Develop a novel algorithm to increase the production well-testing frequency up to 70% without changing any hardware.
  • Discrete X-ray tomography***Reconstruction of high contrast X-ray image (e.g., Angiography) with reduced radiation up to 90%.
  • Underwater acoustic tomography
    • Reduce the variance of estimate travel time in an noisy underwater environment up to 50%.

• Teaching Assistant, Aug. 2006- May 2007
  • Communication theory

• • • Lectured Communication theory discussion session for groups of 30 students, 1 hours/week (2 semesters)

Professional Experience

• Summer Research Intern, May 2012 - Aug. 2012
  • Employer: Computation Optics & Visual Processing Group, Ricoh innovation, Menlo Park, CA
  • Contribution:
    • Developed new image processing algorithms for plenoptic camera (1 patent and 1 conference paper are submitted).

• Summer Research Intern, May 2011 - Aug. 2011
  • Employer: CiSoft, a joint center of Chevron and USC, Los Angeles, CA
  • Contribution:
    • Design and apply the my high contrast tomographic reconstruction algorithm to detect geophysical structure discontinuity in an oil field (1 patent is submitted).

• Jun. 2002 to Feb. 2004 Military Service in Taiwan Army as Second Lieutenant
  • Contribution:
    • Manage and maintain the military combat communication network.
    • Lead the development team for C4ISR

Skills / Tools

• Proficient in C/C++, Matlab.
• Good knowledge of Mathematical optimization.

Publications

• Y. Lin and A. Ortega, “Object-based high contrast travel time tomography”, under review for SEG Geophysics, arXiv 1303.3052. Link

• Y. Lin, Ivana Tosic and Kathrin Berkner, “Occlusion-aware layered scene recovery from light fields”, to appear in International Conference on Image Processing (ICIP 2013), Melbourne, Australia, September 2013.

• Y. Lin and A. Ortega, "Group Testing: A Novel Approach To Increase The Effective Frequency Or Accuracy Of Well-tests Without Increasing Infrastructure Costs", to appear in SPE Western Regional Meeting, Monterey, April 2013.

• Y. Lin, A. Ortega, T. Tafti, and I. Ershaghi, "Detecting shale discontinuity between different layers using water-flood tomography", in SPE Western Regional Meeting, Bakersfield, March 2012. Link

• Y. Lin, A. Ortega, and A. Dimakis, "Level estimation for sparse reconstruction in discrete tomography", in Proceedings of the Forty Fifth Asilomar Conference on Signals, Systems and Computers (ASILOMAR 2011), Pacific Grove, November 2011. PDF format

• Y. Lin, A. Ortega, and A. Dimakis, "Sparse recovery for discrete tomography", in Proceedings of International Conference on Image Processing (ICIP 2010), Hong Kong, September 2010. PDF format

• Y. Lin, A. Ortega, A. Nejad, and I. Ershaghi, "Waterfood tomography: mapping high contrast permeability structures using injection/production data", in SPE Western Regional Meeting, Anaheim, May 2010. Link

• Y. Lin and A. Ortega, "Reconstruction algorithm for high contrast velocity travel time tomography", in Proceedings of International Conference on Acoustics Speech and Signal Processing (ICASSP 2010), Dallas, March 2010. PDF format