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Kewei Sha

Title: Associate Professor

Department: Data 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 6900.035Special ProblemsSpring 2025
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 5810.020Data Analysis and Knowledge DiscoveryFall 2024 SPOT
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

  • Sha, K. (2024). Big Data Quality Scoring for Structured Data Using MapReduce. 2024 33rd International Conference on Computer Communications and Networks (ICCCN). https://ieeexplore.ieee.org/abstract/document/10637520/
  • Zhou, Y., Tu, F., Sha, K., Ding, J., Chen, H. (2024). A Survey of Data Quality Evaluation and Tools for Machine Learning. 2024 IEEE Intl. Conference on AI Testing.
  • Sha, K. (2024). A Survey on Data Quality Dimensions and Tools for Machine Learning Invited Paper. 2024 IEEE International Conference on Artificial Intelligence Testing (AITest). https://ieeexplore.ieee.org/abstract/document/10685186
  • 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., Wang, Z., Yu, Y., Wu, Y. (2024). A Collaborative Computation Offloading Strategy in Distributed Edge Computing Systems. IEEE Transactions on Services Computing. https://ieeexplore.ieee.org/abstract/document/10360217
  • Sun, H., Sha, K., Zhang, X., Zhang, B., Shi, W. (2024). 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
  • 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), "Collaborative Research: Conference: NSF Computer and Information Science and Engineering Research Expansion Program (CISE MSI) 2024-2026 Aspiring Principal Investigators Workshop," sponsored by NSF, Federal, $100000 Funded. (2024 - 2026).
  • Sha, K. (Principal), "Collaborative Research: CISE-MSI: DP: CNS: An Edge-Based Approach to Robust Multi-Robot Systems in Dynamic Environments," sponsored by NSF, Federal, $234982 Funded. (2022 - 2025).
  • 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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