Eduard Ionel Stan

Data Science and Artificial Intelligence Researcher
Database Systems Group, Faculty of Engineering, Free University of Bozen-Bolzano, Italy
ACLAI Laboratory, Department of Mathematics and Computer Science, University of Ferrara, Italy


Free University of Bozen-Bolzano

Faculty of Engineering

Dominikanerplatz - Piazza Domenicani 3

Floor 2, Office 2.11

39100 Bozen-Bolzano, Italy

about me

Greetings, and thank you for visiting my profile. :wave:

As a highly skilled postdoctoral researcher at the esteemed Free University of Bozen-Bolzano, I am privileged to collaborate with professor Johann Gamper in the Database Systems Group. In my role, I am specifically tasked with contributing to Research Topic 4 (RT4 - Artificial Intelligence and Data Science) of Spoke 3 (Green and digital transition for advanced manufacturing technologies) of the Piano Nazionale di Ripresa e Resilienza (PNRR) Interconnected Nord-Est Innovation Ecosystem (iNEST) project. This noteworthy project is funded by the Next Generation European Union (NextGenerationEU), and seeks to promote a digital and environmentally conscious transformation in manufacturing. My research activities involve research and/or experimental development, focusing on data collection, management, and analysis. By harnessing the latest Data Science, Machine Learning, and Artificial Intelligence technologies, I strive to support the realization of a green and digital transition in manufacturing.

My work is characterized by rigorous attention to detail and a commitment to achieving the highest levels of scientific excellence. As a professional of exceptional caliber, I am deeply committed to advancing the state of the art in my field. My work is characterized by a relentless pursuit of knowledge and a dedication to innovation. Through the application of cutting-edge research and the adoption of best practices, we can create a better world for all.

My inclination towards intellectual inquisitiveness and a desire for comprehensive comprehension has culminated in pursuing a PhD in Mathematics following my prior educational background in Computer Science. My doctoral thesis delves into the realm of Modal Symbolic Learning, which represents the confluence of Machine Learning and Modal Logic. This work systematically utilizes inductive biases to develop a mathematical framework that facilitates symbolic learning from unstructured data. As a result, it has the potential to enhance the efficiency and efficacy of learning algorithms significantly.

My proclivity towards interdisciplinary fields and passion for inspiring motivation in others fuels my interest in collaborating with individuals from diverse research backgrounds, fostering the exchange of knowledge and ideas.

In addition to my academic pursuits, I am an avid animal lover, particularly of dogs, and enjoy engaging in physical activities such as working out and snowboarding.

I am constantly seeking opportunities to expand my professional and personal networks, and I welcome the opportunity to connect with like-minded individuals over a virtual coffee.

cluster map


Mar 12, 2023 I have added the cluster map to this site. :world_map:
Mar 1, 2023 I have started my postdoc at the Free University of Bozen-Bolzano, Faculty of Engineering, under the supervision of prof. Johann Gamper. :man_scientist:
Feb 27, 2023 I have successfully defended my PhD thesis! :sparkles: :pushpin:

selected publications

  1. publications/theses/phd_thesis2023.png
    Foundations of Modal Symbolic Learning
    I. E. Stan
    University of Parma, 2023
  2. publications/2023/artmed2023.png
    The voice of COVID-19: Breath and cough recording classification with temporal decision trees and random forests
    F. Manzella, G. Pagliarini, G. Sciavicco, and I. E. Stan
    Artificial Intelligence in Medicine, 2023
  3. FSS
    Fuzzy Halpern and Shoham’s interval temporal logics
    W. Conradie, D. Della Monica, E. Muñoz-Velasco, G. Sciavicco, and I. E. Stan
    Fuzzy Sets and Systems, 2023
  4. publications/2019/ai2019.png
    On coarser interval temporal logics
    E. Muñoz-Velasco, M. Pelegrı́n-Garcı́a, P. Sala, G. Sciavicco, and I. E. Stan
    Artificial Intelligence, 2019