Dr. Wang graduated from the Beijing Med Univ, Beijing City, Beijing, China in 1986. He works in Hamilton Square, NJ and specializes in Internal Medicine and Diabetes. Dr. Wang is affiliated with Robert Wood Johnson University Hospital Hamilton, St Francis Medical Center and University Medical Center Of Princeton At Plainsboro.
Lankenau Medical Center Hematology/Medical Oncology Medical Program 100 E Lancaster Ave STE 4413, Wynnewood, PA 19096 (484)4763060 (phone), (484)4763577 (fax)
Education:
Medical School Sun Yat Sen Univ of Med Sci, Guangzhou, China (242 21 Pr 1/71) Graduated: 2000
Languages:
English
Description:
Dr. Wang graduated from the Sun Yat Sen Univ of Med Sci, Guangzhou, China (242 21 Pr 1/71) in 2000. She works in Wynnewood, PA and specializes in Hematology/Oncology.
May 2014 to 2000 Software Engineer InternshipUniversity of Pittburgh Pittsburgh, PA Jan 2014 to Apr 2014 Software DeveloperUniversity of Pittsburgh Pittsburgh, PA Nov 2013 to Dec 2013 Web DeveloperUniversity of Pittsburgh Pittsburgh, PA Nov 2013 to Dec 2013 Software DeveloperUniversity of Pittsburgh Pittsburgh, PA Oct 2013 to Dec 2013 Web DeveloperWuhan University of Technology Wuhan, China Jan 2013 to Mar 2013 Web Developer
Education:
School of Information Science, University of Pittsburgh Aug 2013 to 2000 Master of Science in Information ScienceSchool of Management, Wuhan University of Technology Sep 2009 to Jun 2013 Bachelor of Management in Information Management and Information System
Skills:
Database (SQL Server and MySQL), JAVA, JSP , C#, ASP.NET , HTML, JavaScript, Excel Macro,MVC framework, and J2EE with Struts and Hibernate
2009 to 2000 Research AssistantUniversity of Notre Dame Notre Dame, IN 2012 to 2013 Undergraduate Research SupervisorUniversity of Notre Dame Notre Dame, IN 2009 to 2010 Teaching AssistantCarnegie Mellon University Pittsburgh, PA Mar 2009 to May 2009 Graduate Student Service ProjectCarnegie Mellon University Pittsburgh, PA Mar 2009 to May 2009 Graduate Student Independent StudyBosch and Siemens Home Electrical Appliances (Jiangsu) Co,. Ltd. Nanjing, Jiangsu, China Jun 2006 to Mar 2007 Intern
Education:
University of Notre Dame Notre Dame, IN 2009 to 2000 Ph.D. in Environmental EngineeringCarnegie Mellon University Pittsburgh, PA 2008 to 2009 M.S. in Environmental EngineeringHuazhong University of Since & Technology Wuhan, CN 2004 to 2008 B.S. in Environmental Engineering
FlyInStyle Pittsburgh, PA Jun 2014 to Aug 2014 Project Manager InternRIMAI Information & Telecommunication Company Ltd Nanjing, CN Jun 2010 to Mar 2013 Database Specialist & Project Manager Assistant, Intern & Full-time
Education:
Smeal College of Business, The Pennsylvania State University University Park, PA May 2012 Bachelor of Science in Management of Information SystemsSchool of Information Science, University of Pittsburgh Pittsburgh, PA Master of Science in Information Science
Skills:
Java, HTML, CSS, Javascript, MySQL,jQuery,ArcGIS, SAP
Chang Yang - West Bloomfield MI Gregory R. White - Columbus IN Robert S. Henrich - Columbus IN Yue Yun Wang - Columbus IN John M. Janssen - Nashville IN Ray C. Hatton - Columbus IN
Assignee:
Cummins, Inc. - Columbus IN
International Classification:
F02M 2507
US Classification:
12356821, 12356816
Abstract:
An EGR valve position control system includes an EGR valve manager responsive to an EGR valve command to drive an EGR valve actuator. The EGR valve manager is operable to schedule control gains as a function of valve actuation direction to provide for faster response during valve closing events. Valve closing events are also staged such that a large valve position step is followed by a steady ramp to the valve closed position to thereby prevent damage to the valve and/or valve seat. The EGR valve manager further includes a prioritized switching feature for strategically switching between closed and open loop control modes, and a forward gain adjustment feature responsive to battery voltage to maintain constant system DC gain under changing battery voltage conditions.
Multiple Anisotropic Parameter Inversion For A Tti Earth Model
Yonghe Sun - Cypress TX, US Yue Wang - Danville CA, US Tong Xu - Chengdu, CN Leonard Lin Zhang - Sugar Land TX, US
International Classification:
G01V 1/28
US Classification:
367 75
Abstract:
A method for determining values of anisotropic model parameters of a Tilted Transversely Isotropic (TTI) Earth model, the anisotropic parameters including P-wave velocity (Vp) along a tilted symmetry axis, the Thomsen anisotropy parameters δ and ε (or η=(ε−δ)/(1+2δ)) representative of variations of wave velocities as a function of wave propagation angle from the symmetry axis, the method including acquiring input data for a geological volume of interest; determining a theoretical relationship between the input data and the anisotropic model parameters; and calculating the values of the anisotropic model parameters at each of a plurality of subsurface locations in the geological volume of interest based on the theoretical relationships and the input data using workflows involving iterative or sequential combinations of processes including input data preprocessing, conventional tomographic inversion, three dimensional tomographic inversion based on a tilted transversely isotropic model, and three dimensional pre-stack depth migration using a tilted transversely isotropic model.
System And Method For Seismic Beam Formation That Accounts For Equipment Misalignment
Norman Ross Hill - Houston TX, US Yue Wang - Danville CA, US
International Classification:
G01V 1/28
US Classification:
367 53
Abstract:
Seismic data representing the propagation of seismic energy through a geologic volume of interest is processed. The seismic energy propagates through the geologic volume of interest from one or more source locations at or near the geologic volume of interest to one or more detector locations at or near the geologic volume of interest. In processing the seismic data, the seismic energy is modeled as beams (e.g., Gaussian beams). The processing performed (i) corrects for misalignment of the one or more source locations and/or the one or more detector locations with a regular, predetermined mesh, and (ii) steers the seismic data based on the modeled beams.
Method And System For Computational Acceleration Of Seismic Data Processing
A computer-implemented method and a system for computational acceleration of seismic data processing are described. The method includes defining a specific non-uniform memory access (NUMA) scheduling for a plurality of cores in a processor according to data to be processed; and running two or more threads through each of the plurality of cores.
Multiple Anisotropic Parameter Inversion For A Tti Earth Model Using Well Data
Yonghe Sun - Cypress TX, US Yue Wang - Danville CA, US Tong Xu - Cheng Du, CN Leonard Lin Zhang - Sugar Land TX, US
International Classification:
G06F 19/00
US Classification:
702 18
Abstract:
A method for determining values of anisotropic model parameters of a Tilted Transversely Isotropic (TTI) Earth model, the method including obtaining an initial TTI earth model that substantially flattens common-imaging-point gathers and substantially ties seismic data to well data; inputting checkshot data and/or VSP data to determine updated values of Vpnear the well locations; determining an incremental improvement Δδ; extrapolating the relative change Δδ from near-well locations to the entire three dimensional TTI earth model; determining updated values of Vp=Vp(1−Δδ); inputting near-to-mid-offset/angle and mid-to-far-offset/angle residual moveout information; and providing updated values of δ and η.
- Redmond WA, US Jie SONG - Ann Arbor MI, US Yue WANG - Bellevue WA, US Surajit CHAUDHURI - Kirkland WA, US Vishal Kumar Seshagirirao ANIL - Redmond WA, US Yaron Y. GOLAND - Seattle WA, US Gaurav MALHOTRA - Bothell WA, US Blake LASSITER - Seattle WA, US
Assignee:
Microsoft Technology Licensing, LLC - Redmond WA
International Classification:
G06F 16/22 G06F 16/23
Abstract:
Systems and methods relate to auto-tagging of data in a data lake or a data storage. Generating a statistical summary of the data lake and interactively receiving data in a selected column of an exemplar data addresses an issue of efficiently and accurately auto-tagging data in a data lake. The present disclosure automatically generates a statistical summary of the data lake using a lightweight off-line processing. A graphical user interface interactively receives an exemplar data file with a selection of a column in the exemplar data file. A list of candidate data-tagging patterns is generated based on the statistical summary and updates the list by removing candidate data-tagging patterns that under-generalize the data. The present disclosure determines a data-tagging pattern by selecting a candidate data-tagging profile from the list based on having the least number of matching columns in the data lake.
System And Method For Seismic Imaging Of Complex Subsurface Volumes
- San Ramon CA, US Yue WANG - Sugar Land TX, US Siwei LI - Houston TX, US
International Classification:
G01V 1/34 G01V 1/36 G01V 1/28 G01V 1/30
Abstract:
A method is described for seismic imaging including generating extended image gathers by extended reverse time migration of a seismic dataset using an earth model; processing the extended image gathers to generate processed image gathers; performing extended modeling based on the processed image gathers to generate a modeled seismic dataset; enhancing the processed image gathers to generate an enhanced image; performing extended modeling based on the enhanced image gathers to generate a modeled enhanced dataset; differencing the modeled enhanced dataset and the modeled seismic dataset to determine a data residual; inverting the data residual to generate a model residual; updating the earth model based on the model residual to create an updated earth model; performing seismic imaging of the seismic dataset using the updated earth model to create an improved seismic image. The method may be executed by a computer system.
System And Method For Dip-Guided Seismic Image Stacking
- San Ramon CA, US Guojian Shan - Sugar Land TX, US Yue Wang - Sugar Land TX, US Craig Alan Barker - Sugar Land TX, US
International Classification:
G01V 1/30 G01V 1/36
Abstract:
A method is described for seismic imaging of the subsurface using dip-guided optimized stacking. The method computes weighting functions for a plurality of single-shot migrated images, unstacked seismic images, or partially stacked seismic images based on a slant stack performed using an input dip dataset; applying the plurality of weighting functions to the plurality of single-shot migrated images, unstacked seismic images, or partially stacked seismic images, or a plurality of dip-filtered images to create a plurality of weighted images; and summing the plurality of weighted images into a stacked seismic image. The method may be executed by a computer system.
Ann Arbor, Michigan Beijing, China Shanghai, China Zhenjiang, China Los Angeles, USA
Work:
University of Michigan - Research Assistant (2012) Shanghai Jiao Tong University - Graduate (2012) Microsoft Research Asia - Full Time Intern (2011-2012)
Yue Wang
Work:
Sir run run shaw hospital - Doctor (2002)
Yue Wang
Education:
HIT - CS
Yue Wang
Education:
Harold Washington College
Yue Wang
Tagline:
You may say I'm a dreamer, but I'm not the only one...
Yue Wang
Tagline:
+1
Yue Wang
Education:
Beijing foreign studies of univeristy - International relations