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Kewei Sha

Title: Associate Professor

Department: Information Science

College: College of Information

Curriculum Vitae

Curriculum Vitae Link

Education

  • PhD, Wayne State University, 2008
    Major: Computer Science
  • MS, Wayne State University, 2006
    Major: Computer Science

Current Scheduled Teaching

INFO 5810.020Data Analysis and Knowledge DiscoverySpring 2025
INFO 5810.021Data Analysis and Knowledge DiscoverySpring 2025
INFO 5810.020Data Analysis and Knowledge DiscoveryFall 2024
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 5810.003Data Analysis and Knowledge DiscoverySpring 2024 SPOT
INFO 5810.020Data Analysis and Knowledge DiscoverySpring 2024 SPOT
INFO 5810.002Data Analysis and Knowledge DiscoveryFall 2023 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 Intellectual Contributions

    Abstracts and Proceedings

  • Niswanger, R., Sha, K., Lerman, D.C. (2023). Poster: Design of Mixed Reality Dangerous Situations for Autistic Children: Road Safety. IEEE. https://ieeexplore.ieee.org/abstract/document/10183768

    • Conference Proceeding

  • Neal, Z., Sha, K. (2023). Analysis of Evil Twin, Deauthentication, and Disassociation Attacks on Wi-Fi Cameras. IEEE. https://ieeexplore.ieee.org/abstract/document/10230183
  • Azeroual, O., Nikiforova, A., Sha, K. (2023). Overlooked Aspects of Data Governance: Workflow Framework For Enterprise Data Deduplication. IEEE. https://ieeexplore.ieee.org/abstract/document/10193478
  • Yue, K., Sha, K., Selvan, J.S., Guerra, M. (2023). Confidentiality and Data Integrity in Consortium Blockchain Applications for Model-Based Systems Engineering. AIAA. https://arc.aiaa.org/doi/abs/10.2514/6.2023-1113

    • Journal Article

  • Sun, H., Sha, K., Zhang, X., Zhang, B., Shi, W. (2023). Optimal Task Offloading and Trajectory Planning Algorithms for Collaborative Video Analytics with UAV-assisted Edge in Disaster Rescue. IEEE Transactions on Vehicular Technology. https://ieeexplore.ieee.org/abstract/document/10365400
  • Sun, H., Sha, K., Wang, Z., Yu, Y., Wu, Y. (2023). A Collaborative Computation Offloading Strategy in Distributed Edge Computing Systems. IEEE Transactions on Services Computing. https://ieeexplore.ieee.org/abstract/document/10360217
  • Ding, R., Xu, Y., Zhong, H., Cui, J., Sha, K. (2023). Towards Fully Anonymous Integrity Checking and Reliability Authentication for Cloud Data Sharing. IEEE Transactions on Services Computing. 16 (5) 3782-3795. IEEE. https://ieeexplore.ieee.org/abstract/document/10109159/authors#authors
  • Sun, H., Sha, K., Chen, Y., Huang, S., Shi, W. (2023). A Proactive On-Demand Content Placement Strategy in Edge Intelligent Gateways. IEEE Transactions on Parallel and Distributed Systems. 34 (7) 2072 - 2090. IEEE. https://ieeexplore.ieee.org/abstract/document/10054497

Contracts, Grants and Sponsored Research

    Grant - Research

  • Sha, K. (Principal), "UNT Global Venture Fund," sponsored by UNT, University of North Texas, $4000 Funded. (2023 - 2024).
,
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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