Stylianos Loukas Vasileiou
Assistant Professor, Department of Computer Science
New Mexico State University
My current research agenda is on understanding the nature and dynamics of human-AI interaction and collaboration. Particularly, I explore various exciting questions, such as how to effectively model human behaviors and expectations, and how to explain the decisions of AI systems to human users in a natural fashion. I draw a lot of ideas and techniques from several fields, including logic, planning, machine learning, as well as philosophy and cognitive psychology.
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
Sep 18, 2025 | Paper on a model reconciliation explanations in probabilistic logic programs accepted at the NeurIPS 2025! |
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Aug 11, 2025 | Journal papaer on a general framework for probabilsitic explanation generation accepted at the Journal of AI Research! |
Jul 16, 2025 | Two papers accepted at KR 2025: a main track paper on evaluating argumentative statement graphs, and an In the Wild track paper on explainable course scheduling using LLMs and Logic. See you in Australia in November! |
selected publications
- 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