Seidenberg School of CSIS
Computer Science NY
- @New York City
New York City
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.
PhD , Utah State University , Logan, UT , 2011
BS , Harbin Institute of Technology , Harbin, China , 2004
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
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.
A Deep Learning Method for Microaneurysm Detection in Fundus Images.
Butt, N. & Shan, J.
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).
, 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. (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
(2013, October 05).
Pace DPS seminar.
Telehealth and computer-aided diagnosis for breast cancer.
Seidenberg School of CSIS, Graduate Center
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. Paid RA position available: I am looking for research assistant who is self-motivated, hard-working and consistent. Background in Matlab and image processing is preferred.
Grants, Sponsored Research and Contracts
(2017, September 15).
A novel 3D image predictive model for osteoarthritis disease.
National Science Foundation , Federal , $208,107.00 . Funded,
DAISEC: Data Analytics in Cybersecurity.
National Security Agency , Federal , $188,564.98 . Funded,
2017 , Pace University . Funded,
Scholarly Research Committee Grant.
Pace University , Pace University . Funded,
CRA-W Distinguished Lecture Series at Pace University -- Workshop on Deep Learning.
Computing Research Association -Women (CRA-W) , Other . Funded,
IEEE Women in Engineering
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]
CIS101 Review Committee
Desc: Work with colleagues from other schools to modify and redesign the course CIS101.