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Jieqiong Zhao

Assistant Professor

Jieqiong Zhao

Assistant Professor

Academic Appointment(s)

Administration
Department of Computer & Cyber Sciences

School of Computer and Cyber Sciences
Department of Computer & Cyber Sciences

  • JIEZHAO@augusta.edu
  • University Hall 131 C

Education

  • Ph.D., Electrical and Computer Engine Purdue University, 2020

  • MS, Computer Science. Tufts University, 2013

  • BE, Computer Software Engineering Zhejiang University of Technol, 2010

Courses Taught Most Recent Academic Year

  • CSCI 4820

    Computer Graphics

  • BMSE 2201

    Biomedical Visualization

  • CSCI 8940

    Dissertation Research

  • CSCI 8510

    Independent Study: Data Visualization

  • CSCI 8720

    Problems in Computer & Cyber

Teaching Interests

My teaching interests center on data visualization, visual analytics, computer graphics, and human-computer interaction, areas that closely align with my research on human-AI teaming and visual reasoning. I aim to create a classroom environment that integrates foundational theory with experiential learning, helping students develop both technical skills and design thinking for solving complex, data-driven, real-world problems.

Scholarship

Selected Recent Publications

  • Towards General-Purpose Video Reconstruction through Synergy of Grid-Splicing Diffusion and Large Language Models, 2025
    Journal Article, Academic Journal
  • A Simulation-Based Approach for Quantifying the Impact of Interactive Label Correction for Machine Learning, 2025
    Journal Article, Academic Journal
  • Poster Abstract: PrivacyVis: Interactive Visualization Tool for Privacy Risks of Internet of Things Sensors, 2025
    Conference Proceeding
  • Towards Understanding User Privacy Concerns of Internet of Things Sensor Data, 2025
    Conference Proceeding
  • Adaptive Dynamic Digital Twin for Test Scenario Generation, 2025
    Conference Proceeding

Research Interests

My research centers on building intelligent, human-centered full-stack systems that bridge natural language processing (NLP), computer vision (CV), and data analysis. Currently, I develop natural-language interfaces for data analysis, using large language models as conversational chatbots that translate analytical intents into appropriate data operations and visualizations, thereby lowering the technical barrier for exploratory data analysis.
I also explore multimodal agent frameworks for pathology diagnosis, integrating CV and LLMs to assist physicians in identifying regions of interest, refining diagnostic queries, and retrieving visually similar cases. These systems emphasize human-in-the-loop collaboration, provenance tracking, and calibrated uncertainty estimation to ensure transparency and reliability in medical decision support.

Department Service

  • Search Committee Member, Data Science Faculty Search, School of Computer and Cyber Sciences 2024 - Present

    Role: Committee Member

  • Women in CyberSecurity (WiCyS) Student Chapter 2023 - Present

    Role: Faculty Mentor

Professional Service

  • The Eurographics Conference on Visualization Full Papers 2024 - Present

    Role: Committee Member

  • IEEE VIS 2024 Panel 2024 - Present

    Role: Conference-Related

  • IEEE Transactions on Visualization and Computer Graphics 2023 - Present

    Role: Reviewer

  • Visualization Notes track of PacificVis Conference 2022 - Present

    Role: Committee Member

  • Hawaii International Conference on System Sciences 2018 - Present

    Role: Reviewer, Conference Paper