Stylianos Loukas Vasileiou
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. |
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| 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
- AAMASArgumentative Human-AI Decision-Making: Toward AI Agents That Reason With Us, Not For UsIn International Conference on Autonomous Agents and Multiagent Systems (AAMAS) BlueSky Track, 2026
- NeurIPSModel Reconciliation via Cost-Optimal Explanations in Probabilistic Logic ProgrammingIn Advances in Neural Information Processing Systems (NeurIPS), 2025
- JAIROn Generating Monolithic and Model Reconciling Explanations in Probabilistic ScenariosJournal of Artificial Intelligence Research (JAIR), 2025
- KRA Hybrid Logic–LLM System for Explainable Course SchedulingIn International Conference on Principles of Knowledge Representation and Reasoning (KR), 2025
- AAAIDoes Your AI Agent Get You? A Personalizable Framework for Approximating Human Models from Argumentation-based Dialogue TracesIn Association for the Advancement of Artificial Intelligence (AAAI), 2025
- KRDialectical Reconciliation via Structured Argumentative DialoguesIn International Conference on Principles of Knowledge Representation and Reasoning (KR), 2024
- JAIRA Logic-based Explanation Generation Framework for Classical and Hybrid Planning ProblemsJournal of Artificial Intelligence Research (JAIR), 2022
- AAAIOn Exploiting Hitting Sets For Model ReconciliationIn Association for the Advancement of Artificial Intelligence (AAAI), 2021