Drexel University Philadelphia, PA 2011 to 2014 Ph.D in Electrical EngineeringDrexel University Philadelphia, PA 2009 to 2011 M.S. in Electrical EngineeringSouthwest Jiaotong University 2005 to 2009 B.S. in Electrical Engineering
Sep 2005 to 2000 Research AssistantStanford University
Dec 2009 to Feb 2011 StudentSLAC/Stanford University/NREL Energy Summer School Stanford, CA Aug 2009 to Sep 2009 Student
Education:
Stanford University Stanford, CA 2013 Ph.D. (expected in March 2013) in Applied PhysicsStanford University Stanford, CA 2005 to 2007 Master of Science in Applied PhysicsTsinghua University 2001 to 2005 Bachelor of Science in Physics and Math
Skills:
Thin-film deposition and device fabrication: pulsed laser deposition, atomic layer deposition, molecular beam epitaxy, photolithography, reactive ion beam etching Material characterization: X-ray photoelectron spectroscopy, X-ray diffraction, atomic force microscopy, scanning electron microscopy, transmission electron microscopy specimen preparation General lab: mechanical machining, laboratory electronics, low temperature measurements Data analysis: numerical analysis, data visualization, statistics, error analysis, liner algebra, optimization Computer: proficient in Matlab, Excel, Word, and PowerPoint, experienced with LabView
Van Pelt Library, University of Pennsylvania Philadelphia, PA Feb 2010 to May 2011 InterLibrary Loan Office AssistantIIE CIES, The Fulbright Scholarship Program Washington, DC May 2010 to Aug 2010 Regional Unit InternGEA Refrigeration
Sep 2008 to Jun 2009 English Tutor/ InterpreterGlobal Me Project of AIESEC Helsinki Jan 2008 to Apr 2008 Teacher
Education:
University of Pennsylvania Philadelphia, PA Jan 2009 to Jan 2011 Master in International Educational DevelopmentFudan University- College of Arts and Sciences Jan 2004 to Jan 2008 BA in English and LiteratureUniversity of California Berkeley, CA Jan 2007 to Jan 2007 Summer Session in Marketing
Skills:
MS Word, Excel, Power Point, Access; VB Program Design; Computer Networks and Multimedia (Frontpage)
Clara Maass Medical Center One Clara Maas Drive, Belleville, NJ 07109
Education:
Medical School Shansi Medical College Graduated: 1982 Medical School Kapionali Med Center University Hi Graduated: 2001 Medical School Newark Beth Israel Med Center Graduated: 2003
Dr. Zhang graduated from the Xian Med Univ, Xian City, Shaanxi, China in 1982. She works in Jersey City, NJ and 2 other locations and specializes in Pediatrics. Dr. Zhang is affiliated with Clara Maass Medical Center, Meadowlands Hospital Medical Center and Palisades Medical Center.
Tulane University Medical GroupTulane Anesthesiology 1415 Tulane Ave STE 8C73, New Orleans, LA 70112 5045885903 (phone), 5049881941 (fax)
Education:
Medical School Nanjing Med Univ, Nanjing City, Jiangsu, China Graduated: 1984
Languages:
Chinese English
Description:
Dr. Zhang graduated from the Nanjing Med Univ, Nanjing City, Jiangsu, China in 1984. She works in New Orleans, LA and specializes in Anesthesiology. Dr. Zhang is affiliated with Tulane Lakeside Hospital For Woman & Children and Tulane University Hospital & Clinic.
Albany Medical Center Cardio Thoracic Surgery 50 New Scotland Ave FL 3, Albany, NY 12208 5182629777 (phone), 5182629778 (fax)
Education:
Medical School Shanghai Med Univ, Shanghai First Med Univ, Shanghai, China Graduated: 1994
Languages:
Chinese English French German Spanish
Description:
Dr. Zhang graduated from the Shanghai Med Univ, Shanghai First Med Univ, Shanghai, China in 1994. He works in Albany, NY and specializes in Congenital Cardiac Surgery (Thoracic Surgery). Dr. Zhang is affiliated with Albany Medical Center.
Medical School Hunan Med Univ, Changsha City, Hunan, China Graduated: 1995
Languages:
English
Description:
Ms. Zhang graduated from the Hunan Med Univ, Changsha City, Hunan, China in 1995. He works in Bronx, NY and specializes in Anatomic Pathology. Ms. Zhang is affiliated with Einstein Medical Center Of Philadelphia and Montefiore Medical Center.
Medical School Shandong Med Univ, Jinan, Shandong, China (242 46 Prior 1 1 71) Graduated: 1995
Conditions:
Atrial Fibrillation and Atrial Flutter Cardiomyopathy Diabetes Mellitus (DM) Disorders of Lipoid Metabolism Hypertension (HTN)
Description:
Dr. Zhang graduated from the Shandong Med Univ, Jinan, Shandong, China (242 46 Prior 1 1 71) in 1995. She works in West Palm Beach, FL and 1 other location and specializes in Cardiovascular Disease. Dr. Zhang is affiliated with Good Samaritan Medical Center, John F Kennedy Medical Center and John F Kennedy Medical Center North Campus.
Memorial Sloan Kettering Cancer Center 1275 York Ave, New York, NY 10065 2126392000 (phone), 6464220298 (fax)
Languages:
English
Description:
Dr. Zhang works in New York, NY and specializes in Anatomic Pathology & Clinical Pathology. Dr. Zhang is affiliated with Bellevue Hospital Center, Memorial Sloan Kettering Cancer Center, New York Presbyterian Hospital Columbia University Medical Center and New York Presbyterian Westchester Division.
Li Zhang - Plainsboro NJ, US Li Fan - Plainsboro NJ, US Jianzhong Qian - Princeton Junction NJ, US
Assignee:
Siemens Corporate Research, Inc. - Princeton NJ
International Classification:
G06K 9/00
US Classification:
382128, 128922, 378 4
Abstract:
A system and method for automatically reducing false-positive nodule candidates associated with airways includes receiving a nodule candidate, testing for airway cavities connected to the candidate, and recognizing the candidate as a false-positive nodule candidate if it is connected to an airway cavity; where the testing may include perpendicular testing for airways that are relatively perpendicular to an examination plane and parallel testing for airways that are relatively parallel to an examination plane.
System And Method For Ground Glass Nodule (Ggn) Segmentation
Li Zhang - Skillman NJ, US Ming Fang - Princeton Jct. NJ, US
Assignee:
Siemens Medical Solutions USA, Inc. - Malvern PA
International Classification:
G06K 9/00
US Classification:
382131, 382173
Abstract:
A system and method for ground glass nodule (GGN) segmentation is provided. The method comprises: selecting a point in a medical image, wherein the point is located in a GGN; defining a volume of interest (VOI) around the point, wherein the VOI comprises the GGN; removing a chest wall from the VOI; obtaining an initial state for a Markov random field; and segmenting the VOI, wherein the VOI is segmented using the Markov random field.
Method And System For Ground Glass Nodule (Ggn) Segmentation Using A Markov Random Field And Shape Analysis
Li Zhang - Skillman NJ, US Ming Fang - Princeton Jct. NJ, US
Assignee:
Siemens Corporate Research, Inc. - Princeton NJ
International Classification:
G06K 9/00
US Classification:
382131, 382173
Abstract:
A system and method for ground glass nodule (GGN) segmentation is provided. The method comprises: selecting a point in a medical image, wherein the point is located in a GGN; defining a volume of interest (VOI) around the point, wherein the VOI comprises the GGN; removing a chest wall from the VOI; obtaining an initial state for a Markov random field; segmenting the VOI, wherein the VOI is segmented using the Markov random field; identifying vessels in the volume of interest; segmenting the vessels; and removing segmented vessels from the segmented ground glass nodule.
Ggn Segmentation In Pulmonary Images For Accuracy And Consistency
Li Zhang - Skillman NJ, US Tiantian Zhang - Troy NY, US
Assignee:
Siemens Medical Solutions USA, Inc. - Malvern PA
International Classification:
G06K 9/00 G06K 9/34
US Classification:
382173, 382128, 382132, 382154, 382131
Abstract:
A method and system for ground glass nodule (GGN) segmentation. The invention comprises methods and systems for GGN segmentation using adaptive intensity models in conjunction with Markov random field (MRF) based modeling. The adaptive intensity model overcomes problems associated with low-contrast GGN images. Vessels included by MRF segmentation are removed by shape analysis based on distance maps of the segmentation.
Method And System For Ground Glass Nodule (Ggn) Segmentation With Shape Analysis
Li Zhang - Skillman NJ, US Ming Fang - Princeton Jct. NJ, US
Assignee:
Siemens Corporation - Iselin NJ
International Classification:
G06K 9/00
US Classification:
382128, 128922
Abstract:
A method for segmentation of a ground glass nodule included in a volume of interest in a medical image and segmented by a process such as a Markov random field process, includes: identifying vessels in the volume of interest; segmenting the vessels; and removing segmented vessels from the segmented ground glass nodule.
Resource-Reservation Pricing Structures Based On Expected Ability To Deliver
Bernardo Huberman - Palo Alto CA, US Li Zhang - Sunnyvale CA, US Fang Wu - Palo Alto CA, US
Assignee:
Hewlett-Packard Development Company, L.P. - Houston TX
International Classification:
G06F 17/00 G06G 7/00 G06Q 30/00 G06Q 10/00
US Classification:
705400, 705 11, 705 5, 705 6
Abstract:
Provided are systems, methods and techniques for establishing a pricing structure for reserving a resource. An option is selected from among a plurality of available options with respect to delivery of a resource at a specified future time, and then the selected option is presented to a customer. Each of the plurality of options includes: (i) a reservation price at which the customer may reserve the resource, and (ii) a compensation amount that must be paid if the resource is not delivered at the specified future time. The specified future time may be either a point in time or an interval of time.
Distance Transform Based Vessel Detection For Nodule Segmentation And Analysis
A method and system for differentiating a vessel and a nodule within an image. The method and system first identifies a complex object in the image and then identifies portions of the complex object as a vessel or a nodule using a distance transform based method. A simplex object is identified in the image and the simplex object is identified as a vessel or a nodule using compactness values. Complex objects are analyzed using features in a distance transform map to identify a) nodule parts and b) vessels that are attached to or pass through the nodule parts.
Identification Of High Affinity Molecules By Limited Dilution Screening
John Babcook - Vancouver, CA Xiao-Chi Jia - San Mateo CA, US Jaspal Singh Kang - Surrey, CA Li Zhang - Fremont CA, US
Assignee:
Amgen Fremont Inc. - Fremont CA
International Classification:
G01N 33/53
US Classification:
435 71, 435 6, 435 72
Abstract:
Methods are disclosed for determining the relative binding affinities of molecules for their binding partner. One type of molecule is an antibody, which has an antigen binding partner. Antibodies are tested for binding against limited dilutions of antigen. Antibodies that bind to the most dilute antigen concentrations are determined to have a higher relative binding affinity for the antigen than antibodies that only bind to more concentrated antigen preparations.
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