Faculty Profile

Tao Wang

Title
Assistant Professor
Department
Computer Science and Engineering
College
College of Engineering

    

Education

PhD, University of South Florida, 2019.
Major: Computer Science and Engineering

Current Scheduled Teaching*

CSCE 5580.005, Computer Networks, Fall 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*

CSCE 5580.003, Computer Networks, Spring 2024 SPOT
CSCE 6940.975, Individual Research, Spring 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.

Published Publications

Published Intellectual Contributions

Conference Proceeding
Wang, T., Hou, T. (2023). Adaptive Feature Engineering via Attention- Based LSTM Towards High Performance Reconnaissance Attack Detection. Boston, MA: IEEE Military Communications Conference (IEEE MILCOM’23).
Wang, T., Hou, T. (2023). Exquisite Feature Selection for Machine Learning Powered Probing Attack Detection. Rome, Italy: IEEE International Conference on Communications (IEEE ICC’23).
Wang, T., Hou, T. (2023). SecDINT: Preventing Data-oriented Attacks via Intel SGX Escorted Data Integrity. Orlando, FL: IEEE Conference on Communications and Network Security (IEEE CNS’23).
Wang, T., Hou, T. (2022). DyWCP: Dynamic and Lightweight Data-Channel Coupling towards Confidentiality in IoT Security. San Antonio, Texas: ACM Conference on Security and Privacy in Wireless and Mobile Networks (ACM WiSec’22).
Wang, T., Hou, T. (2022). MUSTER: Subverting User Selection in MU-MIMO Networks. Virtual: IEEE International Conference on Computer Communications (IEEE INFOCOM’22).
Wang, T., Hou, T. (2022). Undermining Deep Learning Based Channel Estimation via Adversarial Wireless Signal Fabrication. San Antonio, Texas: ACM Workshop on Wireless Security and Machine Learning (ACM WiseML’22).
Wang, T., Hou, T. (2022). When Third-Party JavaScript Meets Cache: Explosively Amplifying Security Risks on The Internet. Austin, Texas: IEEE Conference on Communications and Network Security (IEEE CNS’22).
Wang, T., Hou, T. (2021). IoTGAN: GAN Powered Camouflage Against Machine Learning Based IoT Device Identification. Virtual Conference: IEEE International Symposium on Dynamic Spectrum Access Networks (IEEE DySPAN’21).
Journal Article
Wang, T. (2022). Proactive Anti-Eavesdropping With Trap Deployment in Wireless Networks. IEEE Transactions on Dependable and Secure Computing.
Wang, T., Hou, T. (2021). Combating Adversarial Network Topology Inference by Proactive Topology Obfuscation. IEEE/ACM Transactions on Networking (ToN).

Awarded Grants

Contracts, Grants and Sponsored Research

Grant - Research
Hou, T. (Principal), Wang, T. (Co-Principal), "Towards the Research and Education for Trustworthy and Resilient Artificial Intelligence of Things," Sponsored by DoD Army Research Office (ARO), Federal, $222569 Funded. (March 1, 2024 – Present).
Wang, T. (Co-Principal), "Testing & Evaluation for Soldier-Device Teaming Compatibility, Vulner- ability, and Durability in Emergent Situations," Sponsored by Department of Defense, Federal, $750000 Funded. (January 15, 2022January 14, 2027).
Wang, T. (Co-Principal), "Building a Federated Learning Framework for Trustworthy and Resilient Energy Internet of Things (eIoT) Infrastructure," Sponsored by Department of Energy, Federal, $750000 Funded. (January 1, 2023December 31, 2025).
Wang, T. (Principal), "Dynamic Wireless Channel Pad: A Lightweight and Effective Security Design Towards Non-cryptographic IoT Confidentiality," Sponsored by National Science Foundation, Federal, $200000 Funded. (August 1, 2022July 31, 2024).
Wang, T. (Principal), "AFMR: Secure Resource Allocation for the Next Generation Network," Sponsored by Microsoft, National, $20000 Funded. (January 1, 2024July 1, 2024).
Wang, T. (Principal), "WeCARE: Wireless Networking Infrastructure for Imperative Cybersecurity Research and Education," Sponsored by Department of Defense (DoD), Federal, $124876 Funded. (January 1, 2023December 31, 2023).
,
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