About Me

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I am a researcher in Explainable AI (XAI) at The AI Lab at The American College of Greece, where I hold a BSc (Hons) in Cybersecurity & Networking. In Fall 2026, I will be joining a PhD program with a focus on Human-Centered Explainable AI (HCXAI).

My work addresses the explainability and trustworthiness of AI systems — specifically over-reliance, non-interpretable outputs, and hallucinations in healthcare and other real-world applications.

Under the supervision of Prof. Ioannis T. Christou, I am developing computer vision models for early diagnosis of acute lymphoblastic leukemia, applying Grad-CAM to interpret and validate learned representations. Concurrently, my thesis — COMPASS: Benchmarking Safety-Aware Navigation for Vision Language Models — evaluates the safety-alignment of vision-language models against established guidelines.

Publications

  1. Interpretable Machine Learning for Life Expectancy Prediction
    R. Dolgopolyi, I. Amaslidou, and A. Margaritou
    arXiv, preprint, 2025.
    [paper] [code]
  2. EEG Emotion Recognition Through Deep Learning
    R. Dolgopolyi and A. Chatzipanagiotou
    In Proceedings of the 22nd European, Mediterranean, and Middle Eastern Conference on Information Systems (Springer), 2025.
    [paper] [code]
  3. Bridging Perception, Language, and Action: A Survey and Bibliometric Analysis of VLM & VLA Systems
    R. Dolgopolyi and A. Tsevas
    EurIPS'25 Workshop on the Science of Benchmarking and Evaluating AI, submitted for presentation, 2025.
    [paper]
  4. Transparency of Autonomous Driving Algorithms
    R. Dolgopolyi
    AI and Ethics (Springer), submitted, 2025.
    [paper]

Curriculum Vitae