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Ling Zheng, Ph.D.

Assistant Professor

Ph.D., Computer Science, New Jersey Institute of Technology

M.S., Biomedical Engineering, Zhejiang University

Office
Howard Hall, 226
Phone
732-571-7501
Email
lzheng@monmouth.edu
Office Hours
  • Monday: 1:00 - 2:30 p.m. (CS176)
  • Monday: 3:00 - 4:30 p.m. (CS432)
  • Wednesday: 10:30 a.m. - 12:00 p.m. (CS176)
  • Wednesday: 12:30 - 2:00 p.m. (CS432)
Courses this Semester
CS176 - Introduction to Computer Science ii
CS432 - Database Systems
About

Dr. Zheng received her Ph.D. in Computer Science from New Jersey Institute of Technology in August 2018, and M.S. in Biomedical Engineering from Zhejiang University, China in 2012. She joined Monmouth University as an Assistant Professor in the Computer Science and Software Engineering Department in August 2018. Dr. Zheng has been working on biomedical informatics for about ten years. The topics that she has worked on are healthcare information systems, translational bioinformatics, biomedical ontologies/terminologies, and biomedical knowledge representation and discovery.

Research Interests

Biomedical Ontology/ Terminology:
Summarization Algorithms, Quality Assurance, Applications

Biomedical Informatics:
Genotype-phenotype Correlations, Drug-drug Interaction Discovery

Data Science:
Similarity Search, Local Feature Selection, Semantic Data Mining

Publications
Scholarly Articles

Ling Zheng, Yan Chen, Gai Elhanan, Yehoshua Perl, James Geller, Christopher Ochs. Complex overlapping concepts: an effective auditing methodology for families of similarly structured BioPortal ontologies. Journal of biomedical informatics. 2018;83:135-149.

Ling Zheng, Hua Min, Yehoshua Perl, James Geller. Discovering additional complex NCIt gene concepts with high error rate. 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2017:653-657.

Ling Zheng, Hasan Yumak, Ling Chen, Christopher Ochs, James Geller, Joan Kapusnik-Uner, Yehoshua Perl. Quality assurance of chemical ingredient classification for the National Drug File – Reference Terminology. Journal of biomedical informatics. 2017;73:30-42.

Ling Zheng, Christopher Ochs, James Geller, Hao Liu, Yehoshua Perl, Sherri De Coronado. Multi-layer Big Knowledge visualization scheme for comprehending neoplasm ontology content. 2017 IEEE International Conference on Big Knowledge (ICBK). 2017:127-134.

Ling Zheng, Yehoshua Perl, Gai Elhanan, Christopher Ochs, James Geller, Michael Halper. Summarizing an ontology: a “Big Knowledge” coverage approach. Studies in health technology and informatics. 2017;245:978-982.

Hua Min, Ling Zheng, Yehoshua Perl, Michael Halper, Sherri De Coronado, Christopher Ochs. Relating complexity and error rates of ontology concepts. More complex NCIt concepts have more errors. Methods of Information in Medicine. 2017;56(3):200-208.

Ling Zheng, Hua Min, Yan Chen, Julia Xu, James Geller, Yehoshua Perl. Auditing National Cancer Institute thesaurus neoplasm concepts in groups of high error concentration. Applied Ontology. 2017;12(2):113-130.

Yehoshua Perl, James Geller, Michael Halper, Christopher Ochs, Ling Zheng, Joan Kapusnik-Uner. Introducing the Big Knowledge to Use (BK2U) challenge. Annals of the New York Academy of Sciences. 2017;1387(1):12-24.

Christopher Ochs, Zhe He, Ling Zheng, James Geller, Yehoshua Perl, George Hripcsak, Mark A Musen. Utilizing a structural meta-ontology for family-based quality assurance of the BioPortal ontologies. Journal of biomedical informatics. 2016;61:63-76.

Christopher Ochs, Ling Zheng, Huanying Gu, Yehoshua Perl, James Geller, Joan Kapusnik-Uner, Aleksandr Zakharchenko. Drug-drug interaction discovery using abstraction networks for “National Drug File – Reference Terminology” Chemical Ingredients. AMIA Annual Symposium Proceedings. 2015;2015:973-982.

Presentations/Invited Talks

Discovering Additional Complex NCIt Gene Concepts with High Error Rate. 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). Kansas City, MO, USA, November 14, 2017.

Summarizing an Ontology: A “Big Knowledge” Coverage Approach. MedInfo 2017, Hangzhou, China, August 25, 2017.

Multi-layer Big Knowledge Visualization Scheme for Comprehending Neoplasm Ontology Content. 2017 IEEE International Conference on Big Knowledge (ICBK), Anhui, China, August 9, 2017.

A Quality-Assurance Study of ChEBI. 2016 International Conference on Biological Ontology & BioCreative. Corvallis, OR, USA, August 4, 2016.

Forthcoming

Ling Zheng, Hao Liu, Yehoshua Perl, James Geller, Christopher Ochs, James T. Case. Overlapping complex concepts have more commission errors, especially in intensive terminology auditing. 2018 AMIA Annual Symposium Proceedings. November 3-7, 2018, San Francisco, CA, USA.

Hao Liu, Ling Chen, Ling Zheng, Yehoshua Perl, James Geller. A quality assurance methodology for ChEBI Ontology focusing on uncommonly modeled concepts. 2018 International Conference on Biological Ontology. August 7-10, 2018, Corvallis, Oregon, USA.

Hao Liu, Ling Zheng, Yehoshua Perl, James Geller, Gai Elhanan. Can a Convolutional Neural Network support auditing of NCI thesaurus neoplasm concepts? 2018 International Conference on Biological Ontology. August 7-10, 2018, Corvallis, Oregon, USA.

Professional Associations

American Medical Informatics Association

Awards

Fellowship, International Conference on Biological Ontology and BioCreative, 2016
Excellent Postgraduate Students Award, Zhejiang University, China, 2012
Excellent Postgraduate Students Award, Southern Medical University, China, 2009
National Scholarship, Ministry of Education of China, 2008