Aug 2014 to 2000 Shipping coordinatorPart-time evenings Mar 2012 to 2000Preschool of America, Forest Hills Queens, NY Jan 2010 to Jan 2014 Preschool teacher for children agesComputech International, Great Neck, Long Island
Feb 2007 to Oct 2009 Customer representativeJesco Lighting Group, Glendale Queens, NY Oct 2004 to Dec 2006 Account representative
Education:
Fashion Institute of Technology New York, NY Jan 2003 to Aug 2004 A.A.S. in PhotographyCUNY College of Staten Island Staten Island, NY Sep 2001 to Dec 2002 liberal artsBenjamin N. Cardozo High School Queens, NY Aug 1997 to Jun 2001
MetroMD Hollywood, CA Jul 2012 to Feb 2013 Patient Care CoordinatorSanford-Burnham Medical Research Institute La Jolla, CA Oct 2011 to Jul 2012 Research TechnicianChemistry Riverside, CA Sep 2009 to Jun 2010 Supplemental Instruction LeaderIndiana University School of Medicine Indianapolis, IN Jul 2009 to Sep 2009 Undergraduate Research Intern
Education:
University of California Riverside, CA Sep 2007 to Jun 2011 B.S. in Neuroscience
Sep 2011 to 2000 Team MemberSexual Violence Prevention & Response Program
Jun 2011 to 2000 Double Discovery Center College Preparation, Teaching Assistant and TutorColumbia Child Rights
Sep 2010 to 2000 TreasurerSexual Violence Prevention & Response Program
Aug 2009 to 2000 New Student Orientation Program Team LeaderDr. Helen H. Lu's Biomaterials & Tissue Interface Engineering Research Group, Columbia University
Mar 2009 to 2000 Research AssistantDr. Helen H. Lu's Biomaterials & Tissue Interface Engineering Research Group, Columbia University Long Beach, CA 2011 to 2011Academic Associates Program, St. Luke's Hospital Emergency Department New York, NY Jun 2009 to Jun 2010 Research AssistantDr. Helen H. Lu's Biomaterials & Tissue Interface Engineering Research Group, Columbia University Seattle, WA 2010 to 2010
Education:
Columbia University New York, NY 2008 to 2012 BSc in Biomedical EngineeringOld Scona Academic High School Edmonton, AB 2005 to 2008 Diploma
IRS Volunteer Income Tax Assistance (VITA) Program New York, NY Feb 2012 to Apr 2012 Tax PreparerLongfor Properties Co. Ltd
Dec 2009 to Oct 2010 Associate of Sales & Marketing DepartmentMercedes-Benz (China) Ltd
Oct 2009 to Dec 2009 Intern of Major Client DepartmentTyco Electronics Corporation (China) Ltd
Jul 2009 to Aug 2009 (Intern) Marketing Specialist
Education:
Pace University New York, NY Sep 2011 Master of Science in AccountingUniversity of International Business and Economics New York, NY Sep 2006 to Jul 2010 Bachelor of Management in Marketing
Skills:
- Fluent in Chinese; knowledge of Spanish; - Proficient in Microsoft Word, Excel, PowerPoint, Outlook, Access; SPSS and SQL
Pace University New York, NY 2011 to 2013 Master of Science in AccountingUniversity of International Business and Economics 2006 to 2010 Bachelor of Management in Marketing
Skills:
Fluent in Chinese; knowledge of Spanish; Proficient in Microsoft Word, Excel, PowerPoint, Outlook, Access; SPSS and SQL
Jul 2008 to Jul 2011 IT Auditor, IT Risk and Assurance Department (ITRA)Convergys China Research and Development Center, Shanghai, China
Dec 2007 to May 2008 Intern, Research and Development Department (R&D)
Education:
St John's University, The Peter J. Tobin College of Business New York, NY Jan 2011 to Jan 2013 M.S. in AccountingShanghai Jiao Tong University Jan 2004 to Jan 2008 B.S. in Software Engineering
Skills:
Certified Information Systems Auditor (CISA); Programming Ability of VB, C, C++, Java and Database (SQL), Microsoft Office and ACL; Basic Understanding of German, Native Mandarin Speaker
Columbia University New York, NY Feb 2012 to Apr 2012 ASIC Design of Low Power Pixel Replication Accelerator in DSPColumbia Univeristy New York, NY Feb 2012 to Apr 2012 Embedded System Super Frogger Video GameColumbia Univeristy New York, NY Nov 2011 to Dec 2011 Full custom design of an 8-bit Microcontroller CoreColumbia Univeristy New York, NY Oct 2011 to Nov 2011 Tolerant Channel Interface for Router Node and I2C Bus
Education:
Columbia University New York, NY 2011 to 2012 Master of Science in Electrical EngineeringBeijing University of Posts and Telecommunications 2007 to 2011 Bachelor of Science in Electrical Engineering
Skills:
Apps: Cadence, Synopsys DC, Encouter, Altera Quartus II, Modelsim, MATLAB Computing Languages: C, Java, Perl, Assembly Language, VHDL, Verilog
Jun 2011 to Present Staff AccountantKAAT, INC New York, NY Feb 2011 to May 2011 Accounting InternDiesel-Staff International New York, NY Sep 2010 to Dec 2010 Finance Intern
Education:
Baruch College - Zicklin School of Business Jun 2011 Bachelor of Business Administration in Accounting
Dr. Zhang graduated from the Beijing Med Univ, Beijing City, Beijing, China in 1992. She works in Jackson, MS and specializes in Neurology. Dr. Zhang is affiliated with GV Sonny Montgomery VA Medical Center.
Dr. Zhang graduated from the West China Univ of Med Sci, Chengdu City, Sichuan, China in 1994. She works in Riverside, CA and specializes in Internal Medicine. Dr. Zhang is affiliated with Parkview Community Hospital Medical Center and Riverside Community Hospital.
- St. Michael, BB Zhengzheng Li - Agoura Hills CA, US Xin Zhang - Agoura Hills CA, US
International Classification:
G01S 13/931
Abstract:
This document describes techniques and systems of a radar system with an angle-finding process for sparse uniform arrays. The described radar system includes a processor and an antenna that can receive electromagnetic energy reflected by objects in the surrounding environment. The antenna includes a one-dimensional (1D) or two-dimensional (2D) sparse array. The processor can determine, using the received electromagnetic energy, a signal subspace associated with the objects that includes an invariance equation. Using an estimated solution to the invariance equation, the processor determines a solution to the invariance equation. The solution to the invariance equation is used to determine angular phases associated with the objects. The processor can then determine, using the angular phases, angles associated with the objects. In this way, the described angle-finding process enables the radar system with a sparse array to efficiently determine angles associated with objects without blind spots.
Lighting Systems Generating Partially-Collimated Light Emissions
- Los Angeles CA, US Paul Pickard - Acton CA, US Sana Ashraf - Glendale CA, US Xin Zhang - Los Angeles CA, US Richard Wu - Morgan Hill CA, US Raghuram L.V. Petluri - Cerritos CA, US
International Classification:
F21V 7/04 F21V 5/10 F21V 9/38 F21V 13/14
Abstract:
Lighting system including bowl reflector, visible-light source, central reflector, and optically-transparent body. Bowl reflector has central axis, and rim defining emission aperture, and first visible-light-reflective surface defining portion of cavity in bowl reflector. First visible-light-reflective surface includes parabolic surface. Visible-light source is located in cavity and configured for generating visible-light emissions from semiconductor light-emitting device. Central reflector includes second visible-light-reflective surface, having convex flared funnel shape and having first peak facing toward visible-light source. Optically-transparent body has first base being spaced apart from second base and having side wall extending between first and second bases. Concave flared funnel-shaped surface of second base faces toward convex flared funnel-shaped second visible-light reflective surface of central reflector. First base includes central region having convex paraboloidal-shaped surface and second peak facing toward visible-light source.
Radar System To Detect Angles In Bistatic And Monostatic Scenarios
- St. Michael, BB Zhengzheng Li - Agoura Hills CA, US Xin Zhang - Agoura Hills CA, US
International Classification:
G01S 13/44 G01S 13/00
Abstract:
This document describes techniques and systems to enable a radar system to detect angles in bistatic and monostatic scenarios. In some examples, an automotive radar system includes one or more processors. The processors can obtain electromagnetic (EM) energy reflected by objects and generate, based on the reflected EM energy, a two-dimensional (2D) data matrix. The 2D data matrix has a number of rows corresponding to the number of antenna elements in a transmitter array and a number of columns corresponding to the number of antenna elements in a receiver array. Using the 2D data matrix, the processors can determine DoA estimates and DoD estimates in monostatic and bistatic scenarios. By comparing the DoA estimates to the DoD estimates, the processors can determine an angle associated with the objects. In this way, the described techniques and systems can enable angle detection in monostatic and bistatic conditions with improved angular resolution and reduced cost.
Radar System With Paired One-Dimensional And Two-Dimensional Antenna Arrays
This document describes techniques and systems of a radar system with paired one-dimensional (1D) and two-dimensional (2D) antenna arrays. Even with fewer antenna elements than a traditional radar system, the paired arrays enable an example radar system to have a comparable angular resolution at a lower cost. For example, the 1D array includes antenna elements positioned in a first direction (e.g., azimuth direction) and spaced by a first distance and a second distance. The 2D array includes at least four other antenna elements positioned in the first direction and a second direction (e.g., elevation direction). The other antenna elements are spaced by a third distance in the second direction and by the sum of the first direction and the second direction in the first direction. A processor can associate, using shared angle estimates, angles in the first direction and the second direction for respective objects.
Multi-Modal Deep Learning Based Surrogate Model For High-Fidelity Simulation
- Armonk NY, US Xin Zhang - Chappaqua NY, US Mo Yu - White Plains NY, US
International Classification:
G06F 30/27 G06F 30/28
Abstract:
A method of using multiple artificial intelligence models for generating a high fidelity simulation includes generating, by a computing device, multiple artificial intelligence models. Each artificial intelligence model simulating an industry design process. The computing device further fusing the multiple artificial intelligence models to generate a best-fit proposed industry design process. The computing device utilizes a physics constraint model to determine whether the best-fit proposed industry design process is feasible. The best-fit proposed industry design process is displayed in response to determining that the best-fit proposed industry design process is feasible.
Lighting Systems Generating Partially-Collimated Light Emissions
- Los Angeles CA, US Elizabeth Rodgers - Long Beach CA, US Paul Pickard - Acton CA, US Sana Ashraf - Glendale CA, US Xin Zhang - Los Angeles CA, US Richard Wu - Morgan Hill CA, US Raghuram L.V. Petluri - Cerritos CA, US
International Classification:
F21V 7/04 F21V 5/10 F21V 9/38 F21V 13/14
Abstract:
Lighting system including bowl reflector, visible-light source, central reflector, and optically-transparent body. Bowl reflector has central axis, and rim defining emission aperture, and first visible-light-reflective surface defining portion of cavity in bowl reflector. First visible-light-reflective surface includes parabolic surface. Visible-light source is located in cavity and configured for generating visible-light emissions from semiconductor light-emitting device. Central reflector includes second visible-light-reflective surface, having convex flared funnel shape and having first peak facing toward visible-light source. Optically-transparent body has first base being spaced apart from second base and having side wall extending between first and second bases. Concave flared funnel-shaped surface of second base faces toward convex flared funnel-shaped second visible-light reflective surface of central reflector. First base includes central region having convex paraboloidal-shaped surface and second peak facing toward visible-light source.
- Armonk NY, US Xin Zhang - Chappaqua NY, US Todd Edward Takken - Brewster NY, US
International Classification:
H01L 27/12 H01L 21/84 H01L 21/762
Abstract:
The semiconductor structure includes a semiconductor-on-insulator (SOI) substrate. A group III nitride transistor is formed in a trench in the SOI substrate. The activation of the group III nitride transistor is controlled by a silicon-based transistor. The silicon-based transistor that includes a portion of a silicon layer of the SOI substrate. A group III nitride transistor device is adjacent to the silicon-based transistor.
- Armonk NY, US Xin Zhang - Yorktown Heights NY, US
International Classification:
H01F 27/28 H01F 41/04
Abstract:
A broadside coupled coplanar inductor device includes first and second coplanar inductors in which the conductors of the first and second coplanar inductors are broadside coupled. The conductors are located one above the other at a first distance and the return paths are located to the side of the respective first and second conductor signal paths at a second distance. One or both of the dimensions of the first and second first distances is defined so as to maximize a mutual inductance between the conductors. First and second driver circuit apply voltages across each conductor. The input pulse width modulation signals applied to the first and second driver circuits are 180 degrees out of phase.
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Xin Zhang
Xin Zhang
Education:
Ohio State University - Environmental Behavior Studies, Nanjing University - Urban Planning & Design
Tagline:
Just for thoughts flows.
Xin Zhang
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Leeds University
Education:
Chinese Academy of Sciences, University of Leeds - SPEME
Tagline:
Fighting
Xin Zhang
Education:
Sydney Faculty of Agriculture, Food and Natural Resources - Resource economics
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In_a_relationship
Xin Zhang
Relationship:
Married
Xin Zhang
Xin Zhang
Education:
UCL
Xin Zhang
Education:
Michigan Technological University - Computer Schience