Haili Wang
University of North Texas
Computer Science and Engineering
Email:

Education

PhD, University of North Texas, 2022.
Major: Computer Science and Engineering
MS, University of North Texas, 2017.
Major: Computer Science
BBA, University of North Texas, 2013.
Major: Finance

Development Activities Attended

Conference Attendance,"2023 CMD-IT/ACM Richard Tapia," CMD-IT/ACM Richard Tapia Celebration of Diversity in Computing Conference, Grapevine, Texas, United States of America. (September 13, 2023 – September 15, 2023).

Conference Attendance,"ICSIM," International Conference on Science, Innovation and Management (ICSIM), Houston, Texas, United States of America. (October 15, 2021 – October 17, 2021).

Teaching

Teaching Experience

University of North Texas
CSCE 1030, Computer Science I, 6 courses.
CSCE 1040, Computer Science II, 17 courses.
CSCE 2100, Foundations of Computing, 16 courses.
CSCE 5200, Information Retrieval and Web Search, 6 courses.
CSCE 5216, Pattern Recognition, 2 courses.
CSCE 5320, Scientific Data Visualization, 1 course.
CSCE 5350, Fundamentals of Database Systems, 2 courses.

Teaching at Other Institutions

Texas Women University, Programming Fundamentals I, CSCI 1423, Fall 2022.

Awards and Honors

Thank-a-Teacher Program Recognition, UNT. (December 19, 2023 – Present).

Research

Published Intellectual Contributions

Conference Proceeding
Bai, T., Wang, H., Guo, J. (2022). Online Self-Evolving Anomaly Detection for Reliable Cloud Computing. 2022 IEEE/ACM 15th International Conference on Utility and Cloud Computing (UCC). https://ieeexplore.ieee.org/abstract/document/10061785
Wang, H., Guo, J., Ma, X. (2022). Online Self-Evolving Anomaly Detection in Cloud Computing Environments. ARES 2022. https://arxiv.org/abs/2111.08232
Wang, H., Li, Y., Buckles, B. (2021). A Variety of Deep Learning Models to Classify Disaster Scene Videos. Proceedings of the International Conference on Science, Innovation and Management (ICSIM).
Li, Y., Wang, H., Buckles, B. (2020). Integrating Multiple Deep Learning Models to Classify Disaster Scene Videos. IEEE High Performance Extreme Computing Conference (HPEC).
Li, Y., Wang, H., Buckles, B. (2019). Traffic Congestion Assessment Based on Street Level Data for On-Edge Deployment. Proceedings of the 4th ACM/IEEE Symposium on Edge Computing. https://dl.acm.org/doi/abs/10.1145/3318216.3363368

Service

University Service

Committee Chair, Intro Sequence Committee. (October 1, 2023 – Present).

Committee Member, TA Training. (August 22, 2023 – Present).

Faculty Advisor, Pathway Program. (June 1, 2023 – Present).

Attendee, Meeting, Monthly Faculty Meeting. (January 15, 2023 – Present).

Professional Service

Attendee, Meeting, 2023 CMD-IT/ACM Richard Tapia Celebration of Diversity in Computing Conference, Grapevine, Texas. (September 13, 2023 – September 15, 2023).