معرفی
Eduard Ionel Stan is an Assistant Professor at the University of Milano-Bicocca's Department of Informatics, Systems and Communication. He specializes in bridging formal methods, symbolic reasoning, and AI, particularly in explainable AI (FXAI). His work emphasizes enhancing AI interpretability and trustworthiness, especially in healthcare applications through projects like ANTHEM. He leads the Intelligent Sensing Lab (ISLab), collaborating on neuro-symbolic AI and robotic teleoperation with task recognition.
His research spans modal logics, temporal reasoning, and rule-based learning. He actively serves on committees for conferences like ECAI2025 and IJCAI2025, and as an Associate Editor for Frontiers in Artificial Intelligence. His contributions include tools like the ModalDecisionTrees.jl package and publications on topics ranging from audio classification to gas turbine prediction.
Stan is committed to education, mentoring students in AI ethics and transparency. He advocates for AI as a tool to enhance human capabilities through collaboration and ethical design.
