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 2014)
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 2014:
  • CS 121: Computer Programming I
  • CS 121: Computer Programming I
  • DCS 990: Dissertation for DPS in Cmptng
  • CS 502: Fund Comp Sci I using Java

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 502: Fund Comp Sci I using Java
  • DCS 891: Research Seminar VI
  • DCS 990: Dissertation for DPS in Cmptng
  • Research Interests

    Automatic Diagnosis for Breast Cancer; Medical Image Processing; Machine Learning; Pattern Recognition

    Awards and Honors

    • Pace University, April 2014 - Research Day 2014 Awardee

    PROFESSIONAL MEMBERSHIPS

    • IEEE membership 2010
    • IEEE Women in Engineering 2011

    Publications

    • 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. 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. (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)
    • Shan, J. (2010). Automated breast cancer detection and classification using ultrasound images: a survey. Pattern Recognition.
    • Shan, J. (2010). Completely automatic segmentation for breast ultrasound using multiple-domain features.

    PRESENTATIONS

    • 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

    Department Service

    • Computer Science Curriculum Committee [Committee Member]
    • CIS101 Review Committee [Committee Member]

    College Service

    • DPS Dissertation Committee [Committee Member]
      Desc: Reading the dissertation, making suggestions for changes and improvements, and sitting in on the defense. Have served in three committees for DPS students Steve Kim, Ned Bakelman and Dmitry Nikelshpur respectively.
    • Faculty Search Committee [Committee Member]
      Desc: Search new faculty members for Seidenberg School of Computer Science and Information Systems.

    PROFESSIONAL Service

    • 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.