Eduard Ionel STAN
• Department of Mathematics and Computer Science, University of Ferrara, Italy
• Department of Mathematical, Physical, and Computer Sciences, University of Parma, Italy

He studies how to reduce the gap between Artificial Intelligence (AI) and Machine Learning (ML). In particular, Eduard developed a strong interest in interpretable ML and its mathematical aspects during his MSc Degree in Computer Science, and after graduation he decided to switch to Mathematics to study and to develop new methods where (Interval) Temporal Logics come in to play; the resulting theory is called (Interval) Temporal Symbolic Learning.

He likes interdisciplinarity. He enjoys when people are motivated. As being a team player, he likes to share with others and to work with people that come from different research areas. Moreover, he loves animals (especially dogs) and snowboarding.


education and positions

present

past


awards and scholarships


news

Apr 29, 2022 Article Statistical Rule Extraction for Gas Turbine Trip Prediction has been accepted for publication on the Journal of Engineering for Gas Turbines and Power
Sep 19, 2021 Article Interval Temporal Logic Random Forests with an Application to COVID-19 Diagnosis is now available online. People are already talking about it: If you are a student with knowledge in programming and signal processing, and if you want to collaborate, feel free to drop me an email!
Feb 26, 2021 Article Feature and Language Selection in Temporal Symbolic Regression for Interpretable Air Quality Modelling published on Algorithms