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Haili Wang

Clinical Assistant Professor

University of North Texas

Department of Computer Science and Engineering

Email: haili.wang@unt.edu

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

  • 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, 27 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, 2 courses.
  • CSCE 5350 - Fundamentals of Database Systems, 2 courses.
  • CSCE 5934 - Directed Study, 1 course.

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

    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).