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

Research Interests

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

Awards and Honors

• Pace University, June 2016 - Kenan Award
• Pace University, April 2014 - Research Day 2014 Awardee

PROFESSIONAL MEMBERSHIPS

• IEEE membership 2010
  
• IEEE Women in Engineering 2011
  

Publications

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

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

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.

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

DEPARTMENT SERVICE

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

COLLEGE SERVICE

• DPS Dissertation Committee [Committee Member]
  Committee's Key Accomplishments: Have served in the committee for following DPS students: Steve Kim (09/2013), Ned Bakelman(05/2014), Dmitry Nikelshpur(05/2014), and Jonathan Leet(12/2014).
• Faculty Search Committee [Committee Member]
  

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.