Haili Wang
Clinical Assistant Professor
University of North Texas
Department of Computer Science and Engineering
Email: haili.wang@unt.edu
Education
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PhD, University of North Texas, 2022
Major: Computer Science and Engineering
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MS, University of North Texas, 2017
Major: Computer Science
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BBA, University of North Texas, 2013
Major: Finance
Development Activities
- 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
- CSCE 1030 - Computer Science I, 6 courses.
- CSCE 1040 - Computer Science II, 17 courses.
- CSCE 2100 - Foundations of Computing, 16 courses.
- CSCE 4200 - Web Search and Information Retrieval, 1 course.
- CSCE 5150 - Analysis of Computer Algorithms, 1 course.
- CSCE 5200 - Information Retrieval and Web Search, 10 courses.
- CSCE 5216 - Pattern Recognition, 2 courses.
- CSCE 5320 - Scientific Data Visualization, 1 course.
- CSCE 5350 - Fundamentals of Database Systems, 2 courses.
- CSCE 5934 - Directed Study, 1 course.
University of North Texas
Teaching at Other Institutions
- Texas Women University, CSCI 1423 Programming Fundamentals I, Fall 2022.
Awards and Honors
- Thank-a-Teacher Program Recognition, UNT. (December 19, 2023).
Research
Published Intellectual Contributions
- 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
Conference Proceeding
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).