Siyu Wu

PhD Student, Information Science Technology

Curriculum Vitae

I study artificial intelligence systems with a focus on cognition architectures and machine learning. Hands-on projects include building intelligent autonomous driving agents and applying machine learning in data analysis


Research Assistant

Applied Cognitive Science Lab - University Park, PA

  • Heads to conduct experiments on using ChatGPT-4 and Google Bard to create artificially intelligent cognitive models. Pioneering the presentation of a framework of prompt patterns that maximize LLMs' interaction for artificial cognitive architectures, aiming to achieve conversational excellence.
  • Collaborates to train LLMs for broader applications in the development of cognitive artificial intelligence agents.
  • Leads a team to design an autonomous driving agent using intelligent systems incorporating cognitive modeling techniques (ACT-R) & extended robotic hands & eyes. Achieves 1200% performance improvement compared to previous agent for the same task.
  • Designs, develops, and simulates two autonomous driving agents to test two hypotheses of human driving behavior using different declarative chunks and production rules. Optimizes the approach for creating cognitive intelligent agents & provides an outperformed solution in terms of accuracy in danger identification.
  • Collaborates to prototype and wireframe the UX/UI of an intelligent chemistry tutoring system, creates three game interfaces that demonstrate a significant improvement in satisfaction for content experts compared to previous tutor systems, which results in the adoption of a design for the product roadmap.
  • Dec 2022 – Current

    Research Assistant

    National Science Foundation Grant Project- University Park, PA

  • Supported to conduct statistical data analysis using SPSS & perform data visualization using Tableau to examine & present how feedback design in an automatic writing analysis system, leveraging Natural Language Processing, could enhance students' scientific writing skills
  • Aug 2022 – May 2023

    Research Assistant

    National Science Foundation Grant Project- Utah State University

  • Self-started the deployment & implementation of agent-based block-based computational models using the NetLogo programming language & Nettango platform. Created a suite of models for middle school students. Qualitative analysis demonstrated the effectiveness of this instructional tool for learning about complex public health phenomena
  • Jan 2020 – Aug 2022

    Research Assistant

    National Institute of Food Agriculture Grant Project - Utah State University

  • Headed the development of a user-centered website. Used HTML, CSS, and JavaScript for the front-end, and JavaScript, PHP, and SQL for the back-end database. Successfully delivered an accessible website that allowed users to search through over 100 curricula via a user-friendly interface.
  • February 2021 - Current


    Penn State University

    Doctor of Informatics
    Information Science Technology
    Expected Grad May 2026

    Utah State University

    Master of Science
    Instructional Technology & Learning Science
    January 2020 - May 2022


    Programming Languages & Tools
    • python
    • js
    • NetLogo
    Design Softwares & Tools
    • Articulate Storyline
    • Adobe Captivate
    • Adobe XD
    • Adobe premier Pro
    • Photoshop
    • Wave
    Statistics Software
    • SPSS
    • tableau

    Publication & Presentaion

    My research focuses on the intersection of large language models (LLMs) with cognition architecture, machine learning in data science, and their profound implications for information systems and human-computer interaction. I am a dedicate member of IEEE and the Center for Socially Responsible Artificial Intelligence at Penn State, with extensive collaboration and guidance from researchers in the fields of artificial intelligence systems, engineering, information systems, human-computer interaction, and AI applications in education.


    Wu.S., Ferreira, R., Ritter, F., Walter., L. (accepted)Comparing LLMs for Prompt-Enhanced ACT-R and Soar Model Development: A Case Study in Cognitive Simulation. Paper accepted by 38th Annual Association for the Advancement of Artificial Intelligence (AAAI) Conference on Artificial Intelligence Fall Symposium Series on Integrating Cognitive Architecture and Generative Models at Arlington, Virginia, USA

    Wu.S., Bagherzadeh, A., Ritter, F., Tehranchi, F. (under publication, 2023) Long Road Ahead: Lessons Learned from the (soon to be) Longest Running Cognitive Model. Paper accepted by 21st International Conference on Cognitive Modeling (ICCM) at the University of Amsterdam, the Netherlands

    Wu, W., Liu, C., Wu, S., Yuan, L., Ding, R., Zhou, F., Wu, Q. (under publication, 2023) Social Enhanced Explainable Recommendation With Knowledge Graph. IEEE Transactions on Knowledge and Data Engineering (TKDE)

    Wu.S., Swanson, H., Sherin, B., Wilensky, U. (2022). Investigating student learning about disease spread and prevention in the context of agent-based computational modeling. Proceedings of the 16th International Conference of the Learning Sciences - ICLS 2022. (pp. 1245 - 1248). Hiroshima, Japan: International Society of the Learning Sciences

    Kim. C., Puntambekar. S., Lee. E., Gnesdilow D., Dey, I., Cang, X., Wu, S., Passonneau, R. (2023) Understanding of a Law of Science and Its Relation to Science Writing with Automated Feedback. Proceedings of 17th International Conference of the Learning Sciences - ICLS 2023>


    Wu.S.,Bagherzadeh, A., Ritter, F., Tehranchi, F. (2023, Sep) Cognition Models Bake-off: Lessons Learned from Creating Long-Running Cognitive Models. Poster and Lightening Talk in 16th International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMs)

    Wu.S., Bagherzadeh, A., Ritter, F., Tehranchi, F (2023, June). Long Road Ahead: Lessons Learned from the (soon to be) Longest Running Cognitive Model. Poster for the 2023 Graduate Women in Science National Conference, PA, USA

    Wu.S.(2023, March). Student Learning in the Context of Agent-based Computational Modeling Microworlds. Lightening talk for the 2023 Symposium for Teaching and Learning with Technology to be held at Penn State University Park Campus

    Northup. J., Wu. S. (2022, November). CSS Pitfalls for Screen Readers. Conference workshop presentation in 25th annual Accessing Higher Ground Accessible Media, Web and Technology Conference, Denver, Colorado


    Website Gallary

    Full Stack Development

    Computational Model

    Instructional Technology

    E-learning Course

    Articulate Storyline

    Awards & Certifications