YENTING “GREG” LIN
2727 Ellendale Pl. #215, Los Angeles, CA 90007 | 310-889-4818 | yenting0322@gmail.com | Webpage:
http://biron.usc.edu/wiki/index.php/Yenting
Qualification
·
6 years of R&D experience in inverse problems which recover the low-dimensional structure from sparse
(incomplete, corrupted) observations. Strong background in machine learning, data mining, pattern
recognition, Markov Chains, Bayesian Analysis, experimental design, MCMC random sampling, time series
forecasting, optimization and model estimation. Predict the oil production based on the real noisy data
provided by Chevron.
Experience
RESEARCH ASSISTANT | UNIVERSITY OF SOUTHERN CALIFORNIA | 2007-CURRENT
·
Develop algorithms to detect the high contrast structure with sparse measurements. Apply experimental
design techniques to estimate the heterogeneous geophysical structures and predict oil production in an oil
reservoir with reduced testing period by 75%. Develop a novel group testing algorithm in oil/water gravity
separation process to speed up the fluid measurement by 50%. Develop pattern recognition algorithms to
classify potential cancer patients based on RNA microarray data.
RESEARCH SCIENTIST INTERN | RICOH INNOVATION | 05/2012-08/2012
· Develop image processing algorithm for light field camera. Improve the layer retrieval performance for the
occluded scene by machine learning (Robust PCA).
RESEARCH SCIENTIST INTERN | CISOFT | 05/2011-08/2011
· Apply novel tomography approach to detect the structures in a water-flooding oil field. Develop data
cleaning algorithm to automatically calibrate and filter outliers for oil production data. The field trial results
demonstrated the possibility of new type of tomography technology with reduced cost.
ARMY INFORMATION SYSTEM OFFICER | TAIWAN ARMY | 07/2002-03-2004
·
Plan and manage the communication network systems. Lead the development team of Command, Control,
Communication and Intelligence platform.
Patents
SYSTEM AND METHOD FOR MODELING SHALE DISCONTINUITY
· Submitted by Chevron 01/2013, under review
OCCLUSION-AWARE RECONSTRUCTION OF THREE-DIMENSIONAL SCENES FOR
LIGHT FIELD IAMGES
· Submitted by Ricoh innovation 12/2012, under review
Education
PHD | AUGUEST 2013 | UNIVERSITY OF SOUTHERN CALIFORNIA | GPA 3.95/4.0
· Major: Electrical Engineering Minor: Mathematics
· Dissertation title: Transmission Tomography for High Contrast Media with Sparse Data. Adviser: Prof.
Antonio Ortega
MS | AUGUST 2006 | UNIVERSITY OF SOUTHERN CALIROFNIA | GPA 4.0/4.0
· Major: Electrical Engineering
· Related coursework: Pattern Recognition, Neural Networks, Wavelets, Optimizations, Analysis of
Algorithms, Random Process, Statistics.
BS | AUGUST 2001 | NATIONAL TAIWAN UNIVERSITY | GPA 3.4/4.0
· Major: Electrical Engineering
Selected Publications
· 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", in SPE Western Regional Meeting, Monterey, April 2013.
· Y. Lin and A. Ortega, “New algorithm for finding high contrast velocity structures in travel time
tomography", under review for SEG Geophysics journal.
· 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.
· Y. Lin, A. Ortega, T. Tafti, and I. Ershaghi, “Detecting shale discontinuity between different layers using
waterood tomography", in SPE Western Regional Meeting, Bakersfield, March 2012.
Programming Languages
· C/C++, Matlab
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