Eduard Ionel Stan

about

I am an Assistant Professor (Ricercatore a Tempo Determinato di tipo A—RTD/A) at the University of Milano-Bicocca, where I bridge the gap between formal methods, symbolic reasoning, and cutting-edge AI technologies. My expertise lies in leveraging formal logic and symbolic AI to enhance the interpretability and transparency of machine learning models, particularly within the rapidly evolving field of formal explainable AI (FXAI).

At the Imaging and Vision Laboratory (IVL), I collaborate with a team of deep learning experts, bringing my background in symbolic methods to bear on the challenges of explainability. Our goal is to ensure that the AI systems we develop are effective and trustworthy, particularly in high-stakes applications like healthcare. This work is central to our contributions to the ANTHEM project, where we focus on developing smart environments and innovative sensors for proximity medicine, working alongside leading institutions and healthcare providers.

In addition to my research, I am deeply committed to my role as an educator. I actively seek out and mentor students, guiding them through their theses and fostering their development as future researchers. My teaching is informed by my belief in the importance of transparency and ethics in AI, principles that are increasingly critical as AI technologies become more integrated into society.

A vision of AI drives my work as a tool for enhancing human capabilities, built on a foundation of trust, ethics, and collaboration. I am excited to continue exploring the potential of neuro-symbolic AI and FXAI, and I am always open to new partnerships that align with these goals. Let’s connect and push the boundaries of what AI can achieve together.

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