Yenting Lin

Yenting (Greg) Lin

PHD student in University of Southern California

Yenting (Greg) Lin

http://biron.usc.edu/yenting/

Ph.D. Candidate

Department of Electrical Engineering- Systems

University of Southern California

Los Angeles, CA

Telephone: (213)-740-4655

E-mail: yenting0322@gmail.com , yenting@usc.edu

Research Interests

Travel time tomography for high contrast velocity structures

Sparse reconstruction for X-Ray discrete tomography.

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, May 2006, Department of Electrical Engineering-Systems

• Mar. 1997-Feb. 2001: National Taiwan University, Taiwan

Bachelor of Science in Engineering, June. 2001, School of Electrical Engineering and Computer Science

Professional Experience

• 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.

Conference Publications

• Lin, Y. and Ortega, A. and Tafti, T. and Ershaghi, I. "Detecting Shale Discontinuity Between Different Layers Using Waterflood Tomography". In Proceedings of the 2012 SPE Western Regional Meeting(SPE WRM 2012), , Bakersfield, March 2012.
• Lin, Y. and Ortega, A. "Reconstruction algorithm for high contrast velocity travel time tomography". In Proceedings of the 2010 IEEE International Acoustics Speech and Signal Processing Conference(ICASSP 2010), Dallas, March 2010.
• Lin, Y. and Ortega, A. and Nejad, A. and Ershaghi, I. "Waterflood Tomography: Mapping High Contrast Permeability Structures Using Injection/Production Data". In Proceedings of the 2010 SPE Western Regional Meeting(SPE WRM 2010), , Anaheim, May 2010.
• Lin, Y. and Ortega, A. and Dimakis, A.G. "Sparse recovery for discrete tomography". In Proceedings of the 2010 IEEE International Conference on Image Processing (ICIP), 2010, , Hong Kong, October 2010.