Stylianos Loukas Vasileiou

I am a PhD candidate at the Department of Computer Science and Engineering at Washington University in St. Louis, supervised by the amazing William Yeoh.

My current research interest is centered on developing human-aware decision-making frameworks for enabling and enhancing human-AI collaboration. My work is inherently interdisciplinary and requires drawing ideas from a confluence of approaches such as knowledge representation & reasoning, planning, machine learning, as well as philosophy, cognitive science, and psychology.

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 08, 2024 Honored to be invited to attend the Dagstuhl seminar on Explainable AI for Sequential Decision Making.
Jul 24, 2024 Paper on Dialectical Reconciliation via Structured Argumentation accepted at KR 2024.
Jan 25, 2024 Excited to co-organize the Human-Aware and Explainable Planning (HAXP) workshop again, collocated with ICAPS 2024 in Banff, Canada. Do consider submitting your work!
Jul 15, 2023 Papers on Personalized Explanations and Explainable Scheduling accepted at ECAI 2023.

selected publications

  1. 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
  2. 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
  3. 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