Biography

Dr. Shan joined Pace University in August 2013. She is currently an assistant professor in the Department of Computer Science. Prior to joining Pace, she was an assistant professor in Department of Mathematics and Computer Science at Benedictine College from 2011 to 2013. Her primary research interest is medical image processing and computer-aided diagnosis.

Education

PhD, Utah State University, Logan, UT, 2011

Computer Science

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

Computer Science

Scheduled Courses

Spring 2018:

No courses scheduled.

Research Interests

Dr. Shan's research interests include machine learning, medical image processing, and computer-aided diagnosis (CAD) systems. Her primary focus is developing robust and efficient CAD algorithms to help doctors analyzing medical images, discovering distinguishing features, and classifying data utilizing machine learning methods. Her on-going research projects include CAD systems for breast cancer, diabetic retinopathy, and knee osteoarthritis.

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. (2017, September 15). SCH: EAGER: RUI: Collaborative Research: A Novel 3D Image Predictive Model for Knee Osteoarthritis Disease. National Science Foundation , Federal , $208,107.00 . Funded,
• Chen, L., Genc, Y. & Shan, J. (2017, September). DAISEC: Data Analytics in Cybersecuirty. National Security Agency , Federal , $188,564.98 . Funded,
• Shan, J. (2017, January). Innovation Grant. Pace University , Pace University . Funded,
• Shan, J. (2016, November). Scholarly Research Committee Grant. Pace University , Pace University . Funded,
• Shan, J. (2017, April). CRA-W Distinguished Lecture Series at Pace University -- Workshop on Deep Learning. Computing Research Association -Women (CRA-W) , Other . Funded,

Publications

Du, Y., Almajalid, R., SHAN, J. & Zhang, M. A Novel Method to Predict Knee Osteoarthritis Progression on MRI Using Machine Learning Methods. IEEE Trans. on NanoBioscience.

Cao, W., Zarnek, N., SHAN, J. & Li, L. Microaneurysm Detection Using Principal Component Analysis and Machine Learning Methods. IEEE Trans. on NanoBioscience.

Thakur, K., SHAN, J. & Pathan, A. (2018, March). Innovations of Phishing Defense: The Mechanism, Measurement and Defense Strategies. International Journal of Communication Networks and Information Security.

Du, Y. & Shan, J. (2017, November). Knee Osteoarthritis Prediction on MR Images Using Cartilage Damage Index and Machine Learning Methods. http://muii.missouri.edu/bibm2017/

Cao, W. & Czarnek, N. (2017, November). Microaneurysm Detection in Fundus Images by Small Image Patches and Machine Learning Methods. http://muii.missouri.edu/bibm2017/

Li, L. & Shan, J. (2017, October (4th Quarter/Autumn)). Automated Microaneurysm Detection in Fundus Images through Region Growing.

Li, L. & Shan, J. (2017, February). Automated Microaneurysm Detection in Fundus Images by Region Growing.

Mukaddim, R. A., Shan, J., Kabir, I., Ashik, A., Abid, R., Yan, Z., Metaxas, D., Garra, B., Islam, K. & Alam, S. (2016, December). 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.

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/

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 Member]
  Desc: We have worked on correcting the mistakes and inaccuracy of course description and prerequisite. We have reviewed and approved several new courses.
  
• 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]
  
• DPS Dissertation Committee [Committee Member]
  
• 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

• Journal of Ultrasound, Journal of Neural Computing and Application, Journal of Information, and Journal of IJPRAI [Reviewer, Journal Article]
  
• 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.