Faculty Profile

Junhua Ding

Title
Professor
Department
Information Science
College
College of Information

    

Current Scheduled Teaching*

INFO 6950.024, Doctoral Dissertation, Fall 2022
INFO 5501.020, Fundamentals of Data Analytics, Fall 2022
INFO 6660.024, Readings in Information Science, Fall 2022
INFO 6900.024, Special Problems, Fall 2022
INFO 6900.040, Special Problems, Fall 2022
INFO 6910.025, Special Problems, Fall 2022

* Texas Education Code 51.974 (HB 2504) requires each institution of higher education to make available to the public, a syllabus for undergraduate lecture courses offered for credit by the institution.

Previous Scheduled Teaching*

INFO 5505.001, Applied Machine Learning for Data Scientists, Summer 5W2 2022 SPOT
INFO 5900.703, Special Problems, Summer 10W 2022
INFO 6900.705, Special Problems, Summer 10W 2022
INFO 6900.709, Special Problems, Summer 10W 2022
INFO 5505.002, Applied Machine Learning for Data Scientists, Spring 2022 SPOT
INFO 6950.706, Doctoral Dissertation, Spring 2022
INFO 6945.002, Doctoral Seminar in Information Issues, Spring 2022
INFO 6945.501, Doctoral Seminar in Information Issues, Spring 2022 SPOT
INFO 5090.200, Practicum and Internship in the Field Study, Spring 2022 SPOT
INFO 5082.003, Seminar in Research and Research Methodology, Spring 2022
INFO 6900.705, Special Problems, Spring 2022
INFO 5505.002, Applied Machine Learning for Data Scientists, Fall 2021 Syllabus SPOT
INFO 6950.708, Doctoral Dissertation, Fall 2021
INFO 6660.705, Readings in Information Science, Fall 2021
INFO 5082.002, Seminar in Research and Research Methodology, Fall 2021 Syllabus
INFO 5082.003, Seminar in Research and Research Methodology, Fall 2021 Syllabus
INFO 6900.703, Special Problems, Fall 2021
INFO 5502.001, Analytic Tools, Techniques and Methods, Summer 5W2 2021 SPOT
INFO 5502.003, Analytic Tools, Techniques and Methods, Summer 5W2 2021 SPOT
INFO 5502.005, Analytic Tools, Techniques and Methods, Summer 5W2 2021 SPOT
INFO 4900.703, Special Problems, Summer 10W 2021
INFO 5900.703, Special Problems, Summer 10W 2021
INFO 5505.002, Applied Machine Learning for Data Scientists, Spring 2021 Syllabus SPOT
INFO 6945.501, Doctoral Seminar in Information Issues, Spring 2021 Syllabus
INFO 6660.016, Readings in Information Science, Spring 2021 Syllabus
INFO 5082.002, Seminar in Research and Research Methodology, Spring 2021 Syllabus
INFO 6900.702, Special Problems, Spring 2021
INFO 6900.711, Special Problems, Spring 2021
INFO 5502.202, Analytic Tools, Techniques and Methods, Fall 2020 Syllabus SPOT
INFO 6950.708, Doctoral Dissertation, Fall 2020
INFO 5090.002, Practicum and Internship in the Field Study, Fall 2020 SPOT
INFO 5082.202, Seminar in Research and Research Methodology, Fall 2020 Syllabus
INFO 6900.703, Special Problems, Fall 2020
INFO 6910.703, Special Problems, Fall 2020
INFO 5502.001, Analytic Tools, Techniques and Methods, Summer 5W2 2020 SPOT
INFO 6950.009, Doctoral Dissertation, Summer 10W 2020
INFO 5960.001, Library and Information Sciences Institute or Seminar, Summer 5W2 2020 SPOT
INFO 5090.002, Practicum and Internship in the Field Study, Summer 10W 2020 SPOT
INFO 5502.002, Analytic Tools, Techniques and Methods, Spring 2020
INFO 5502.003, Analytic Tools, Techniques and Methods, Spring 2020
INFO 6950.720, Doctoral Dissertation, Spring 2020
INFO 5090.002, Practicum and Internship in the Field Study, Spring 2020
INFO 6660.016, Readings in Information Science, Spring 2020
INFO 5082.002, Seminar in Research and Research Methodology, Spring 2020
INFO 5900.704, Special Problems, Spring 2020
INFO 6900.702, Special Problems, Spring 2020
INFO 5502.002, Analytic Tools, Techniques and Methods, Fall 2019 SPOT
INFO 6950.708, Doctoral Dissertation, Fall 2019
INFO 5090.002, Practicum and Internship in the Field Study, Fall 2019 SPOT
INFO 5082.002, Seminar in Research and Research Methodology, Fall 2019
INFO 6900.703, Special Problems, Fall 2019
INFO 4907.001, Data Visualization, Summer 5W2 2019 Syllabus SPOT
INFO 5709.001, Data Visualization and Communication, Summer 5W2 2019 SPOT
INFO 6950.009, Doctoral Dissertation, Summer 10W 2019
INFO 5090.002, Practicum and Internship in the Field Study, Summer 10W 2019
INFO 4907.001, Data Visualization, Spring 2019 Syllabus SPOT
INFO 5709.001, Data Visualization and Communication, Spring 2019 SPOT
INFO 5709.501, Data Visualization and Communication, Spring 2019 SPOT
INFO 5090.002, Practicum and Internship in the Field Study, Spring 2019
INFO 6660.016, Readings in Information Science, Spring 2019
INFO 5082.002, Seminar in Research and Research Methodology, Spring 2019
INFO 6900.702, Special Problems, Spring 2019
INFO 4907.002, Data Visualization, Fall 2018 Syllabus SPOT
INFO 5709.002, Data Visualization and Communication, Fall 2018 SPOT

* Texas Education Code 51.974 (HB 2504) requires each institution of higher education to make available to the public, a syllabus for undergraduate lecture courses offered for credit by the institution.

Published Publications

Published Intellectual Contributions

Abstracts and Proceedings
Yang, J., Ding, J., An, Y. (2021). A Text mining-based analysis of Facebook group discussions on gamification. Frisco: Proceedings of Innovate Learning Summit 2021.
Chen, H., Chen, J., Ding, J. Data Evaluation and Enhancement for Quality Improvement of MachineLearning. Macau: IEEE International Conference on Quality, Reliability, and Security (QRS 2020).
Tang, M., Su, C., Chen, H., Qu, J., Ding, J. SALKG:A Semantic Annotation System for Building a High-quality Legal Knowledge Graph. Atlanta, GA: IEEE Conference on Big Data Workshop (BigData 2020).
Book Chapter
Ding, J., Awojobi, B. Data Security and Privacy”. Cy-bersecurity for Information Professionals: Concepts and Applications.
Gudivada, V., Rao, D., Ding, J. (2019). Evolution and Facets of Data Analytics for Educational Data Mining and Learning Analytics. Book: Responsible Analytics and Data Mining in Education.
Rao, D., Ding, J., Gudivada, V. (2019). Supporting Data Analytics in Education: Human and Technical Resources Needed for Collecting, Storing, Analyzing, and Mining Data. Responsible Analytics and Data Mining in Education.
Conference Proceeding
Qin, C., Y. Y., Chen, H., Ding, J. (2021). A Comparison Study of Machine Learning and Deep Learning for Legal Contract Understanding. JURISIN 2021: 15 Intl. Workshop on Juris-informatics.
Chen, H., Cao, G., Chen, J., Ding, J. (2019). A Practical Framework for Evaluating the Quality of Knowledge Graph. Knowledge Graph and Semantic Computing: Knowledge Computing and Language Understanding. 12. Singapore: Springer.
Ding, J., Li, X., Hu, X. (2019). Testing Scientific Software with Invariant Relations: A Case Study. 9. Sofia: IEEE.
Journal Article
Chen, H., Wu, L., Chen, J., Lu, W., Ding, J. (2021). A comparative study of automated legal text classification using random forests and deep learning. Information Processing & Management. 59(2), . Elsevier.
Tran, N., Chen, H., Jiang, J., Bhuyan, J., Ding, J. (2021). Effect of Class Imbalance on the Performance of Machine Learning-based Network Intrusion Detection. International Journal of Performability Engineering. 17(9), . Totem.
Chen, H., Chen, J., Ding, J. (2021). Data Evaluation and Enhancement for Quality Improvement of Machine Learning. IEEE Transactions on Reliability. 70(2), . IEEE.
Pieptea, L., Ding, J. (2020). Using latent features for building an interpretable recommendation system.
Ding, J., Li, X., Kang, X., Gudivada, V. N. (2019). A Case Study of the Augmentation and Evaluation of Training Data for Deep Learning. 11(4), 24.
Zhou, S., Wang, R., Ding, J., Pan, X., Zhou, S., Fang, F., Zheng, W. (2019). An Approach for Computing Routes without Complicated Decision Points in Landmark-based Pedestrian Navigation. (4), 16.

Awarded Grants

Contracts, Grants and Sponsored Research

Grant - Research
Ding, J. (Principal), Chen, J. (Co-Principal), Palmer, A. M. (Co-Principal), Smith, D. L. (Co-Principal), "REU Site: Data Analytics and Information Retrieval," Sponsored by National Science Foundation, Federal, $380000 Funded. (March 1, 2019February 28, 2022).
Ding, J. (Principal), "The cognitive analysis of software development in an open source development environment," Sponsored by State Key Lab for Novel Software Technology at Nanjing University, Other, $5500 Funded. (June 1, 2019May 31, 2021).
Grant - Teaching
Ding, J., "Open Resource Fund," Sponsored by UNT Library, University of North Texas, $500 Funded. (August 20, 2019December 15, 2019).
Sponsored Research
Ding, J., "A Big Data to Knowledge Infrastructure for Analyzing and Modeling Morphology of Biology Cells," Sponsored by Global Partnerships and Engagement, University of North Texas, $2000 Funded. (January 1, 2020August 31, 2020).
,
Overall
Summative Rating
Challenge and
Engagement Index
Response Rate

out of 5

out of 7
%
of
students responded
  • Overall Summative Rating (median):
    This rating represents the combined responses of students to the four global summative items and is presented to provide an overall index of the class’s quality. Overall summative statements include the following (response options include a Likert scale ranging from 5 = Excellent, 3 = Good, and 1= Very poor):
    • The course as a whole was
    • The course content was
    • The instructor’s contribution to the course was
    • The instructor’s effectiveness in teaching the subject matter was
  • Challenge and Engagement Index:
    This rating combines student responses to several SPOT items relating to how academically challenging students found the course to be and how engaged they were. Challenge and Engagement Index items include the following (response options include a Likert scale ranging from 7 = Much higher, 4 = Average, and 1 = Much lower):
    • Do you expect your grade in this course to be
    • The intellectual challenge presented was
    • The amount of effort you put into this course was
    • The amount of effort to succeed in this course was
    • Your involvement in course (doing assignments, attending classes, etc.) was
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