Fabrizio Ruffini, PhD
Research Fellow at the University of Pisa
My page @University of Pisa
Academic Journey and Expertise
Currently, I'm a research fellow at the university of Pisa (RTD-A), Department of Information Engineering. My research topic is the field of Trustworthy AI systems, in the two dimensions of data privacy and transparency.
My academic career commenced with a Master of Science in Elementary Particle Physics from the University of Pisa, where I studied from 2003 to 2009. My doctoral research at the University of Siena, within the INFN of Pisa, was focused on the marvelous realm of matter-antimatter observables, contributing to the CDF experiment at Fermilab, Chicago. The main result of my PhD thesis was the first evidence for Bs→pipi penguin annihilatin decay.
I was then employed in an Italian stat up focused on renewable energy data analysis, when I first began to work with Artificial Intelligence.
Trustworthy Artificial Intelligence
My current research interests are focused on the field of Trustworthy AI, especially in the challegned related to data privacy and transparency
Data Science
Specialised expertise in data mining, machine learning algorithms, and advanced statistical methods applied to complex physical systems and renewable energy infrastructure.
Particle Physics
Collaboration experience at Fermilab and CERN since 2008, contributing to discoveries in elementary particle research.
Teaching @unipi

UNIPI

Fabrizio Ruffini

Ricercatore a tempo determinato L.240/2010 – Dipartimento di Ingegneria dell’Informazione

Research and Professional Highlights
Current Position
Since 2022, I'm as a Research Fellow at the University of Pisa (RTD-A), Department of Information Engineering
Collaborations
INFN of Pisa
CDF (at Fermilab, Chicago)
LHCb (at CERN, Geneva)
Previous position
I previously hold the position of Head of Data Science at i-EM S.r.l., where we spearheaded analytics initiatives for renewable energy forecasting, predictive maintenance strategies, and micro-grid optimisation.
International/National projects
Project with ARS Toscana
Project manager for ESA-funded initiative delivering cutting-edge satellite-based decision support systems for intelligent smart grid management and optimisation.
Hydrocontroller
Technical lead developing innovative water resource monitoring solutions, managing hydropower plant management through predictive maintenance solutions
MOWGLI
Pioneered microgrid solutions for rural India, delivering sustainable energy access whilst implementing monitoring systems in Indian installations.
SP4GO Project
Project manager for ESA-funded initiative delivering cutting-edge satellite-based decision support systems for intelligent smart grid management and optimisation.
05
TUAI
The project proposes the development of ML algorithms for diagnostics, prognostics and health management solutions for complex cyber-physical systems, in response to demands for more affordable and reliable Systems suitable for complex life cycle conditions. The project aims to the development of Digital Twins
06
SMARIERS
The project idea is to equip the UPS with a ”SMART” diagnostic system capable of becoming proactive, i.e., capable of preventing critical situations or future problems, so as to allow the operator to plan appropriate actions in advance, through the analysis of plant diagnostic data.
Reviewing Publications
I try to help other people in sharing good informative content
Springer Nature
Reviewing editor
Transactions on Fuzzy Systems
Reviewer
Information system Frontiers
Reviewer
Spoken Languages
Italian, mother tongue.
English - Professional working proficiency
Spanish - Elementary proficiency (B1-certificate)
Selected Publications
(Selected by me)
  • An explainable brain tumor classification system based on fuzzy decision trees (2025)
  • Artificial intelligence in crime prediction: A survey with a focus on explainability (2025)
  • Trustworthy AI in Medical Imaging (2024)
  • Federated learning of XAI models in healthcare: A case study on Parkinson’s disease (2024)
  • Consistent post-hoc ex- plainability in federated learning through federated fuzzy clustering (2024)
  • Enabling federated learning of explainable AI models within beyond-5g/6g networks (2023)
  • Measurements of Direct CP-Violating Asymmetries in Charmless Decays Lett. of Bottom Baryons (2014)
  • Evidence for the charmless annihilation decay mode Bs0→π+ π− (2012)
For a complete list of publications, please refer to my Google Scholar profile
Free time
Homelessness
Voluntary service for "Amici della strada", an Italian association @ Pisa
Youngster education
Voluntary service for "Agesci": badged scout-master
Wing Chun Martial Art
EWTO Assistent trainer
EWTO Kids educator

Wikipedia

Wing Chun

Wing Chun (Cantonese) or Yong Chun (Mandarin) is a concept-based martial art, a form of Southern Chinese kung fu, and a close-quarters system of self-defense. It is a martial arts style characterized by its focus on close-quarters hand-to-hand combat, rapid-fire punches, and straightforward efficiency. It has a philosophy that emphasizes capturing and sticking to an opponent's centerline. This is accomplished using simultaneous attack and defense, tactile sensitivity, and using an opponent's for

Playing with Generative AI
"Mi chiamo Fabrizio Ruffini e sono un ricercatore all'universita' di Pisa.
Basandoti su tutto ciò che sai su di me, immagina e genera un’immagine che mi rappresenti profondamente, catturando ciò che sono e ciò che potrei diventare. Lascia che siano la tua interpretazione e la tua creatività a definire stile, ambientazione e simboli significativi. Nessun vincolo: scegli tu come tradurre la mia identità in immagine."
(I also needed to share a picure of me)
Made with