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.

Education

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

M.S., Biomedical Engineering, Zhejiang University

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

Scholarly Articles

Ling Zheng, Yehoshua Perl, Yongqun He, Christopher Ochs, James Geller, Hao Liu, Vipina K Keloth. Visual Comprehension and Orientation into the COVID-19 CIDO Ontology. Journal of Biomedical Informatics. 2021; 120:103861.

Ling Zheng, Zhe He, Duo Wei, Vipina Keloth, Jung-Wei Fan, Luke Lindemann, Xinxin Zhu, James J Cimino, Yehoshua Perl. A review of auditing techniques for the Unified Medical Language System. Journal of the American Medical Informatics Association. 2020; 27(10):1625-1638.

Ling Zheng, Yan Chen, Hua Min, P Lloyd Hildebrand, Hao Liu, Michael Halper, James Geller, Sherri De Coronado, Yehoshua Perl. Missing lateral relationships in top-level concepts of an ontology. BMC Medical Informatics and Decision Making. 2020;20(Suppl 10):305.

Ling Zheng, Hua Min, Yan Chen, Vipina Keloth, James Geller, Yehoshua Perl, George Hripcsak. Outlier concepts auditing methodology for a large family of biomedical ontologies. BMC Medical Informatics and Decision Making. 2020;20(Suppl 10):296.

Ling Zheng and Joan Kapusnik-Uner. Can MED-RT Summarization Support Missing Adverse Drug Reactions Discovery? 2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2020: 2161-2166.

Ling Zheng, Hao Liu, Yehoshua Perl, James Geller. Training a Convolutional Neural Network with Terminology Summarization Data Improves SNOMED CT Enrichment. American Medical Informatics Association Annual Symposium Proceedings. 2019; 2019: 972-981.

Hasan Yumak, Ling Zheng, Ling Chen, Michael Halper, Yehoshua Perl, Gareth Owen. Quality assurance of complex ChEBI concepts based on number of relationship types. Applied Ontology. 2019;14(3):199-214.

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, Yan Chen, Yehoshua Perl, Michael Halper, James Geller, Sherri De Coronado. Quality assurance of concept roles in the National Cancer Institute thesaurus. 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2018; 2001-2008.

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. American Medical Informatics Association Annual Symposium Proceedings. 2018; 2018: 1157-1166.

Presentations/Invited Talks

Machine Learning for Colorectal Cancer Risk Prediction. 2021 International Conference on Cyber-Physical Social Intelligence (ICCSI). Beijing, China, December 20, 2021 (virtual).

Hospital length of stay prediction with ensemble methods in machine learning. 2021 International Conference on Cyber-Physical Social Intelligence (ICCSI). Beijing, China, December 20, 2021 (virtual).

Training a Convolutional Neural Network with Terminology Summarization Data Improves SNOMED CT Enrichment. 2019 AMIA Annual Symposium. Washington, DC, USA, November 19, 2019.

Overlapping complex concepts have more commission errors, especially in intensive terminology auditing. 2018 AMIA Annual Symposium. San Francisco, CA, USA, November 5, 2018.

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.

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