Juan Shan
Assistant Professor

E-mail: jshan@pace.edu

School/College: Seidenberg School of Computer Science and Information Systems
Department(s): Computer Science NY
Primary Location:

Office Hours: (Fall 2016)
Tuesday
2:30PM-5:00PM
Thursday
2:30PM-5:00PM

Office Phone:
+1-212-346-1014

CV: DOWNLOAD

Education

PhD, Utah State University, Logan, UT, 2011

Computer Science

BS, Harbin Institute of Technology, Harbin, China, 2004

Computer Science

Scheduled Courses

Fall 2016:
  • CS 121: Computer Programming I
  • CS 121: Computer Programming I
  • DCS 861: Topic:Digital Image Processing

View All Courses Taught
  • CIS 101: Introduction to Computing
  • CIT 314: Introduction to Programming II
  • CS 113: Mathematical Structures for CS
  • CS 121: Computer Programming I
  • CS 122: Computer Programming II
  • CS 490: Ind Study in Computer Science
  • CS 702: Research Seminar
  • DCS 861: Topic:Digital Image Processing
  • DCS 891: Research Seminar VI
  • DCS 990: Dissertation for DPS in Cmptng
  • DCS 991: Dssrttn for DPS in Cmptg II
  • Research Interests

    Dr. Shan's research interests include machine learning, medical image processing, and computer-aided diagnosis systems. She has been applying machine learning and image processing techniques to help doctors analyzing characteristics of disease on medical images. One of her previous projects developed a fully automatic diagnosis system for breast cancer, which includes noise reduction, contrast enhancement, tumor segmentation, feature analysis and tumor classification. Besides breast cancer, Dr. Shan is also interested in computer-aided diagnosis systems for other diseases, such as diabetic retinopathy and knee osteoarthritis. Her recent interest is adopting deep learning mechanism to analyze image features, with the purpose to improve the accuracy of disease detection and classification.

    Awards and Honors

    • Pace University, June 2016 - Kenan Award
    • Pace University, April 2014 - Research Day 2014 Awardee
    • Intermountain Graduate Research Symposium, April 2011 - First Place Research Paper
    • Graduate Student Senate, Utah State University, June 2010 - Enhancement Awards
    • Utah State University, January 2006 - Honor Roll of Graduate School

    PROFESSIONAL MEMBERSHIPS

    • IEEE membership 2010
    • IEEE Women in Engineering 2011

    Contract, Grants, and Sponsored Research

    • Shan, J. (2016, November). Scholarly Research Committee Grant. Pace University , Pace University . Funded,
    • Shan, J. (2017, January). Innovation Grant. Pace University , Pace University . Funded,

    Publications

    Mukaddim, R. A., Shan, J., Kabir, I., Ashik, A., Abid, R., Yan, Z., Metaxas, D., Garra, B., Islam, K. & Alam, S. A Novel and Robust Automatic Seed Point Selection Method for Breast Ultrasound Images.

    Shan, J. & Li, L. (2016, June). A Deep Learning Method for Microaneurysm Detection in Fundus Images.

    DOWNLOAD PRESENTATION

    Butt, N. & Shan, J. (2016, June). CyberCare: A Novel Electronic Health Record Management System.

    DOWNLOAD PRESENTATION

    Shan, J., Alam, K., Garra, B., Zhang, Y. & Ahmed, T. (2016, January (1st Quarter/Winter)). Computer-aided Diagnosis for Breast Ultrasound Using Computerized BI-RADS Features and Machine Learning Methods. Ultrasound in Medicine and Biology (UMB). Vol 42 (Issue 4) , pages 980-988.

    DOWNLOAD PRESENTATION

    Shan, J. (2014, December). A Novel Multiplayer Tracking System for Short Track Speed Skating. IET Computer Vision. , pages 16. http://digital-library.theiet.org/content/journals/10.1049/iet-cvi.2014.0001

    Shan, J. (2014, May). A New Scheme to Evaluate the Accuracy of Knowledge Representation in Automated Breast Cancer Diagnosis. http://cts2014.cisedu.info/

    Shan, J. (2012). Breast Ultrasound Image Segmentation Based on Neutrosophic L-means Clustering.

    Shan, J. (2012, September). “Effective and Automatic Breast Ultrasound Image Segmentation Using L-Means Clustering. Medical Physics. Vol 39 (Issue 9) , pages 5669-5682.

    Shan, J. & , . (2012, February). Completely Automated Segmentation Approach for Breast Ultrasound Images Using Multiple-Domain Features. Ultrasound Med Biol.. Vol 38 (Issue 2)

    PRESENTATIONS

    Shan, J. (2016, June 28). The First IEEE Conference on Connected health: Applications, Systems and Engineering Technologies. A Deep Learning Method for Microaneurysm Detection in Fundus Images. IEEE, Washington D.C.

    Butt, N. (2016, June 28). The First IEEE Conference on Connected health: Applications, Systems and Engineering Technologies. CyberCare: A Novel Electronic Health Record Management System.

    Shan, J. (2014, May 21). The 2014 International Conference on Collaboration Technologies and Systems (CTS 2014). A Similarity Measurement of Clinical Trials Using SNOMED - A Preliminary Study. IEEE, ACM, IFIP, Minneapolis, MN

    Shan, J. (2014, May 20). The 2014 International Conference on Collaboration Technologies and Systems (CTS 2014). A New Scheme to Evaluate the Accuracy of Knowledge Representation in Automated Breast Cancer Diagnosis. IEEE, ACM, IFIP, Minneapolis, MN

    Shan, J. (2013, October 05). Pace DPS seminar. Telehealth and computer-aided diagnosis for breast cancer. Seidenberg School of CSIS, Graduate Center

    DOWNLOAD PRESENTATION

    DEPARTMENT SERVICE

    • Computer Science Curriculum Committee [Committee Chair]
    • Computer Science Curriculum Committee [Committee Member]

    COLLEGE SERVICE

    • Editorial Board Member of Seidenberg School Technical Report Series [Committee Member]
    • Computer Science Curriculum Committee [Committee Member]
    • DPS Dissertation Committee [Committee Member]
    • Computer Science Curriculum Committee [Committee Chair]
    • Faculty Search Committee [Committee Member]

    UNIVERSITY SERVICE

    • CIS101 Review Committee [Committee Member]
      Desc: Work with colleagues from other schools to modify and redesign the course CIS101.

    PROFESSIONAL Service

    • The Second International Conference of Young Computer Scientists, Engineers and Educators (ICYCSEE 2016) [Committee Member]
    • The 2014 International Conference on Collaboration Technologies and Systems [Session Chair]
      Desc: As the co-chair of workshop on Knowledge Management and Collaboration (KMC 2014), my responsibilities include finalizing the panel committee, helping disseminate call-for-paper, organizing reviews, making acceptance decisions, arranging the final workshop program, etc.