Skip to main content

Haili Wang

Title: Clinical Assistant Professor

Department: Computer Science and Engineering

College: College of Engineering

Curriculum Vitae

Curriculum Vitae Link

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

Current Scheduled Teaching

CSCE 5150.002Analysis of Computer AlgorithmsFall 2024 Syllabus
CSCE 5934.001Directed StudyFall 2024
CSCE 5200.001Information Retrieval and Web SearchFall 2024 Syllabus
CSCE 5200.002Information Retrieval and Web SearchFall 2024 Syllabus
CSCE 5200.003Information Retrieval and Web SearchFall 2024 Syllabus
CSCE 5200.600Information Retrieval and Web SearchFall 2024
CSCE 4200.001Web Search and Information RetrievalFall 2024 Syllabus

Previous Scheduled Teaching

CSCE 5350.001Fundamentals of Database SystemsSummer 10W 2024 Syllabus SPOT
CSCE 5216.002Pattern RecognitionSummer 10W 2024 Syllabus SPOT
CSCE 1040.001Computer Science IISpring 2024 Syllabus SPOT
CSCE 1040.002Computer Science IISpring 2024 Syllabus SPOT
CSCE 1040.003Computer Science IISpring 2024 Syllabus SPOT
CSCE 1040.303Computer Science IISpring 2024 Syllabus SPOT
CSCE 1040.304Computer Science IISpring 2024 Syllabus SPOT
CSCE 1040.306Computer Science IISpring 2024 Syllabus SPOT
CSCE 1040.308Computer Science IISpring 2024 Syllabus SPOT
CSCE 1040.309Computer Science IISpring 2024 Syllabus SPOT
CSCE 1040.310Computer Science IISpring 2024 Syllabus SPOT
CSCE 1040.311Computer Science IISpring 2024 Syllabus SPOT
CSCE 1040.312Computer Science IISpring 2024 Syllabus SPOT
CSCE 1040.313Computer Science IISpring 2024 Syllabus SPOT
CSCE 1040.314Computer Science IISpring 2024 SPOT
CSCE 1040.315Computer Science IISpring 2024 Syllabus SPOT
CSCE 1040.318Computer Science IISpring 2024 Syllabus
CSCE 5320.002Scientific Data VisualizationSpring 2024 SPOT
CSCE 5200.001Information Retrieval and Web SearchFall 2023 Syllabus SPOT
CSCE 5200.002Information Retrieval and Web SearchFall 2023 SPOT
CSCE 5200.003Information Retrieval and Web SearchFall 2023 SPOT
CSCE 5200.600Information Retrieval and Web SearchFall 2023 SPOT
CSCE 5350.001Fundamentals of Database SystemsSummer 10W 2023 SPOT
CSCE 5216.002Pattern RecognitionSummer 10W 2023 SPOT
CSCE 1030.003Computer Science ISpring 2023 Syllabus SPOT
CSCE 1030.302Computer Science ISpring 2023 SPOT
CSCE 1030.308Computer Science ISpring 2023 SPOT
CSCE 1030.309Computer Science ISpring 2023 SPOT
CSCE 1030.311Computer Science ISpring 2023 SPOT
CSCE 1030.314Computer Science ISpring 2023 SPOT
CSCE 1040.501Computer Science IISpring 2023 Syllabus SPOT
CSCE 1040.551Computer Science IISpring 2023 SPOT
CSCE 5200.001Information Retrieval and Web SearchSpring 2023 SPOT
CSCE 5200.006Information Retrieval and Web SearchSpring 2023 SPOT
CSCE 2100.004Foundations of ComputingFall 2022 Syllabus SPOT
CSCE 2100.001Foundations of ComputingFall 2020 Syllabus SPOT
CSCE 2100.002Foundations of ComputingFall 2020 Syllabus SPOT
CSCE 2100.004Foundations of ComputingFall 2020 Syllabus SPOT
CSCE 2100.005Foundations of ComputingFall 2020 Syllabus SPOT
CSCE 2100.201Foundations of ComputingFall 2020 SPOT
CSCE 2100.206Foundations of ComputingFall 2020 SPOT
CSCE 2100.207Foundations of ComputingFall 2020 SPOT
CSCE 2100.208Foundations of ComputingFall 2020 SPOT
CSCE 2100.209Foundations of ComputingFall 2020 SPOT
CSCE 2100.210Foundations of ComputingFall 2020 SPOT
CSCE 2100.211Foundations of ComputingFall 2020 SPOT
CSCE 2100.282Foundations of ComputingFall 2020 SPOT
CSCE 2100.284Foundations of ComputingFall 2020 SPOT
CSCE 2100.291Foundations of ComputingFall 2020 SPOT
CSCE 2100.293Foundations of ComputingFall 2020 SPOT

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
,
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
CLOSE