Dr. Julie (Yu) Zhang

Associate Professor

Computer and Information Science Department
East-West University

EDUCATION

• PhD. in Computer Science, DePaul University, 2011
• MS. in Management Technology, University of Wisconsin-Stout, 1995
• BS. in Television Broadcasting Engineering, Communication University of China (Beijing Broadcasting Institute), Beijing, China, 1986

EXPERIENCE

• Associate Professor, 2015 – Present
  Computer and Information Science Department, East-West University, Chicago, USA
• Assistant Professor, 2000 – 2015
  Computer and Information Science Department, East-West University, Chicago, USA

TEACHING COURSES

• Programming: Java I & II, C++ I & II
• Data Structures and Object-oriented Programming
• Principles of Database, SQL Database Programming
• Artificial Intelligence
• Digital Media: Web Animation I &II, Graphic Design, Image Processing I & II, Video Production, Computer Game Design
• Computer Applications: Desktop Spreadsheet Application, Desktop Database Management

RESEARCH INTEREST

• Medical Image Processing and Analysis
• Machine Learning

PUBLICATIONS

• Zhang,Y., Tomuro,N., Raicu,D.S., Furst,J.D., “Combining Edge-based and Region-based Segmentations for Diagnosing Masses in Mammograms” , Computer Assisted Radiology and Surgery Conferences, Spain, 2015.
• Zhang,Y., Tomuro,N., Raicu,D.S., Furst,J.D., “ Identifying the optimal segmentors for mass classification in mammograms”, SPIE Medical Imaging Conference, USA, 2015.
• Zhang Y, Tomuro N, Furst JD, Raicu DS, “Building an Ensemble System for Diagnosing Masses in Mammograms”, International Journal of Computer Assisted Radiology and Surgery”. 7(2), 323-329, 2012.
• Zhang, Y., Tomuro, N., Furst, J. and Raicu, D.S., “Building Multiple Weak Segmentors for Strong Mass Segmentation in Mammogram.” In SPIE Medical Imaging, 796233-796233, 2011.
• Zhang,Y., Tomuro,N., Raicu, D.S. and Furst, J., “Image Enhancement and Edge-based Mass Segmentation in Mammogram,” In SPIE Medical Imaging, 76234-76234, 2010.
• Zhang,Y., Tomuro,N., Raicu,D.S., Furst,J.D., “Using BI-RADS Descriptors and Ensemble Learning for Classifying Masses in Mammograms”, Medical Content-based Retrieval for Clinical Decision Support, London, UK, 2009.
• Zhang,Y., Tomuro,N., Raicu,D.S., Furst,J.D. “A Contour-based Mass Segmentation in Mammograms”, DePaul CDM Research Symposium (SOCRS-09), 2009.
• Zhang,Y., Tomuro,N., Raicu,D.S., Furst,J.D., “Investigation on Feature Selection to Improve Classification of Abdominal Organs in CT Images”, DePaul CTI Research Symposium, 2006

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