Stylianos Loukas Vasileiou

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Assistant Professor, Department of Computer Science
New Mexico State University

My research focuses on building AI systems that can effectively interact with and explain their decisions to human users. Central to my work is the idea that good interactions require reasoning about the user’s perspective — their knowledge, beliefs, and goals — in order to not only reconcile differences in understanding but also to collaborate effectively on shared tasks. I approach these problems using ideas and tools from knowledge representation & reasoning (argumentation, formal logic, planning), neurosymbolic AI, cognitive psychology, and philosophy.

Prior to joining NMSU, I completed my PhD at the McKelvey School of Engineering at Washington University in St. Louis, supervised by the amazing William Yeoh. Within a preceding historical epoch, I received a MSc. in Artificial Intelligence from the University of Southampton (UK), supervised by Long Tran-Thanh, a MSc. in Applied Mathematics from the University of Glasgow (UK), supervised by Radostin Simitev, and finally a BSc. in Statistics and Actuarial-Financial Mathematics from the University of the Aegean (GR), supervised by Nikolaos Kavallaris.

news

Feb 05, 2026 BlueSky paper on Argumentative Human-AI Decision-Making accepted at AAMAS 2026! See you in Cyprus.
Nov 07, 2025 Paper on inferring implicit goals in a human-aware AI setting accepted at AAAI 2026. See you in Singapore!
Sep 18, 2025 Paper on a model reconciliation explanations in probabilistic logic programs accepted at the NeurIPS 2025!

selected publications

  1. AAMAS
    Argumentative Human-AI Decision-Making: Toward AI Agents That Reason With Us, Not For Us
    Stylianos Loukas Vasileiou, Antonio Rago, Francesca Toni, and 1 more author
    In International Conference on Autonomous Agents and Multiagent Systems (AAMAS) BlueSky Track, 2026
  2. NeurIPS
    Model Reconciliation via Cost-Optimal Explanations in Probabilistic Logic Programming
    Yinxu Tang, Stylianos Loukas Vasileiou, Vincent Derkinderen, and 1 more author
    In Advances in Neural Information Processing Systems (NeurIPS), 2025
  3. JAIR
    On Generating Monolithic and Model Reconciling Explanations in Probabilistic Scenarios
    Stylianos Loukas Vasileiou, William Yeoh, Alessandro Previti, and 1 more author
    Journal of Artificial Intelligence Research (JAIR), 2025
  4. KR
    A Hybrid Logic–LLM System for Explainable Course Scheduling
    Stylianos Loukas Vasileiou and William Yeoh
    In International Conference on Principles of Knowledge Representation and Reasoning (KR), 2025
  5. AAAI
    Does Your AI Agent Get You? A Personalizable Framework for Approximating Human Models from Argumentation-based Dialogue Traces
    Yinxu Tang, Stylianos Loukas Vasileiou, and William Yeoh
    In Association for the Advancement of Artificial Intelligence (AAAI), 2025
  6. KR
    Dialectical Reconciliation via Structured Argumentative Dialogues
    Stylianos Loukas Vasileiou, Ashwin Kumar, William Yeoh, and 2 more authors
    In International Conference on Principles of Knowledge Representation and Reasoning (KR), 2024
  7. JAIR
    A Logic-based Explanation Generation Framework for Classical and Hybrid Planning Problems
    Stylianos Loukas Vasileiou, William Yeoh, Tran Cao Son, and 3 more authors
    Journal of Artificial Intelligence Research (JAIR), 2022
  8. AAAI
    On Exploiting Hitting Sets For Model Reconciliation
    Stylianos Loukas Vasileiou, Alessandro Previti, and William Yeoh
    In Association for the Advancement of Artificial Intelligence (AAAI), 2021