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Victoria Armstrong

PhD Student, Mu Lab

Interests

  • FOND Planning
  • Execution Monitoring
  • Natural Language Processing

Education

  • BComp, Specialization in Cognitive Science, 2020

    Queen's University

  • MSc in Computer Science, 2022

    Queen's University

Projects

  • Discrete Timeseries Analysis

Biography

I’m a fourth year PhD student at Queen’s University, where I previously completed an Honours Bachelor of Computer Science and a Master’s in Computing with a Field of Study in AI. My research focus is on agentic AI, using automated planning to construct structured dialogue policies that remain adaptable when users respond in unexpected ways. Additionally, I have a research partnership with Scotiabank though the Smith School of Business' Scotiabank Centre for Analytics and AI. My work centres around extracting insights from chatbot and call centre data at the bank. Beyond research, I’m actively involved in the School of Computing. I have been a (head) teaching assistant for computing courses since 2017. I was a Teaching Fellow for CISC 204: Logic for Computing Science in Fall 2024. I previously spent two terms as the President of the Queen’s Graduate Computing Society.

Pronouns: she/her/hers

Recent Publications

  • Evaluating GPT-4’s Ability to Identify Additional Context (Student Abstract). CCECE Student Poster
  • The Generalizability of FOND Solutions in Uncertain Environments. IntEx
  • MACQ: A Unified Library for Action Model Acquisition. ICAPS 2022 System Demonstrations
  • MACQ: A Unified Library for Action Model Acquisition. KEPS (2022)
  • Towards Physiologically-Responsive Interactive Garments with Machine Learning Techniques. MSc Thesis

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